Publications

Journal Publications

  1. J. Chen, Y. Fan, W. Wang, C. H. T. Lee, and Y. Wang (2022). Sensorless control for SynRM drives using a pseudo-random high-frequency triangular-wave current signal injection scheme. IEEE Transactions on Power Electronics, vol. 37, no. 6, pp. 7122–7131. https://ieeexplore.ieee.org/document/9672675.

  2. X. Yuan, Y. Zuo, Y. Fan, and C. H. T. Lee (2022). Model-free predictive current control of SPMSM drives using extended state observer. IEEE Transactions on Industrial Electronics, vol. 69, no. 7, pp. 6540–6550. https://ieeexplore.ieee.org/document/9489278.

  3. J. Lee, T. D. Niyato, Y. L. Guan and D. I. Kim, "Learning to Schedule Joint Radar-Communication with Deep Multi-Agent Reinforcement Learning," in IEEE Transactions on Vehicular Technology, vol. 71, no. 1, pp. 406-422, Jan. 2022, doi: 10.1109/TVT.2021.3124810.

  4. Guo, Lanqing, Zhiyuan Zha, Saiprasad Ravishankar, and Bihan Wen (2022). Exploiting Non-Local Priors via Self-Convolution for Highly-Efficient Image Restoration. IEEE Transactions on Image Processing, vol. 31, pp. 1311-1324. https://ieeexplore.ieee.org/abstract/document/9679456

  5. X. Yuan, J. Chen, W. Liu, and C. H. T. Lee (2022). A linear control approach to design digital speed control system to PMSMs. IEEE Transactions on Power Electronics, vol. 37, no. 3, pp. 8596–8610. https://ieeexplore.ieee.org/document/9695265.

  6. V. S. Bhaskar and E. L. Tan, “Same-Sense Circularly Polarized Grid-Slotted Patch Antenna with Wide Axial Ratio Bandwidth,” IEEE Transactions on Antennas and Propagation, Vol. 70, No. 2, pp. 1494-1498, February 2022.

  7. Xiaojun Yu, Muhammad Zulkifal Aziz, Muhammad Tariq Sadiq, Ke Jia, Zeming Fan, and Gaoxi Xiao, “Computerized Multidomain EEG Classification System: A New Paradigm,” IEEE Journal of Biomedical and Health Informatics, available online since 14/02/2022.

  8. Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Naveed ur Rehman, Weiping Ding, and Gaoxi Xiao, “Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition,” IEEE Transactions on Emerging Topics in Computational Intelligence, available online since 16 Feb 2022.

  9. Y. Xie, X. Liu, K. C. Teh, and Y. L. Guan, “Robust deep learning based end-to-end receiver for OFDM system with non-linear distortion,” IEEE Commun. Lett., Vol. 26, No. 2, pp. 340-344, Feb. 2022.

  10. K. Jiang, P. Yang, Y. Xiao, Z. Liu, Y. L. Guan and M. D. Renzo, "Power Allocation-Aided Enhanced SM-OFDM: Closed-Form Solutions and Experimental Results," in IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 2146-2151, Feb. 2022, doi: 10.1109/TVT.2021.3132939.

  11. Y. Xie, X. Liu, K. C. Teh and Y. L. Guan, "Robust Deep Learning-Based End-to-End Receiver for OFDM System With Non-Linear Distortion," in IEEE Communications Letters, vol. 26, no. 2, pp. 340-344, Feb. 2022, doi: 10.1109/LCOMM.2021.3132326.

  12. F. Ayaz, Z. Sheng, D. Tian and Y. L. Guan, "A Blockchain Based Federated Learning for Message Dissemination in Vehicular Networks," in IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 1927-1940, Feb. 2022, doi: 10.1109/TVT.2021.3132226.

  13. Zha, Zhiyuan, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu, and Alex Chichung Kot (2022). Low-rankness guided group sparse representation for image restoration. IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2022.3144630. https://ieeexplore.ieee.org/abstract/document/9705602

  14. C.-P. Tay and K.-H. Yap, “Collaborative Learning Mutual Network for Domain Adaptation in Person Re-identification,” Neural Computing and Applications, March 2022

  15. Hehong Zhang, Xinghuo Yu, Yanqing Xie, Gaoxi Xiao, Juan Wang, Zhiqiang Long, Wenzhong Guo, “Discrete-Time Optimal Control of Double Integrators and its Application in Maglev Train” IEEJ Transactions on Industry Applications, vol. 11, no. 2, pp. 236-244, March 2022.

  16. Nguyen, Hong Duc, Rizhao Cai, Heng Zhao, Alex C. Kot, and Bihan Wen (2022). Towards More Efficient Security Inspection via Deep Learning: A Task-Driven X-ray Image Cropping Scheme. Micromachines 13, no. 4: 565. https://ieeexplore.ieee.org/abstract/document/9726161

  17. Chen, Xiang, Wenjun Xia, Yan Liu, Hu Chen, Jiliu Zhou, Zhiyuan Zha, Bihan Wen, and Yi Zhang (2022). FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction. IEEE Transactions on Medical Imaging, doi: 10.1109/TMI.2022.3156270.

  18. Min Meng and Gaoxi Xiao, “State Distribution of Markovian Jump Boolean Networks and Its Applications,” IEEE Transactions on Automatic Control, available online since 07 Mar 2022.

  19. D. Patel, S. Kavaiya, Z. Ding, Y. L. Guan and S. Sun, "Impact of Primary User Activity Statistics in Cognitive Vehicular Networks," in IEEE Transactions on Vehicular Technology, vol. 71, no. 3, pp. 2859-2873, March 2022 doi: 10.1109/TVT.2021.3138253.

  20. Z. Su, K. C. Teh, S. G. Razul, and A. C. Kot, “Deep non-cooperative spectrum sensing over Rayleigh fading channel,” IEEE Trans. Vehic. Technol., Vol. 71, No. 4, pp. 4460-4464, Apr. 2022.

  21. Yihan Lin, Jiawei Sun, Guoqi Li, Gaoxi Xiao, Changyun Wen, Lei Deng, and H. Eugene Stanley, “Spatiotemporal Input Control: Leveraging Temporal Variation in Network Dynamics”, IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 4, pp. 635-651, Apr. 2022.

  22. Pang, Meng, Binghui Wang, Siyu Huang, Yiu-Ming Cheung, and Bihan Wen (2022).  A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains. IEEE Transactions on Information Forensics and Security, vol. 17, pp. 1544-1557. https://ieeexplore.ieee.org/abstract/document/9745912

  23. M Mishra, S Chaudhuri, RK Kshetrimayum, A Alphones and KP Esselle, “Space Efficient Meta-Grid Lines for Mutual Coupling Reduction in Two-Port Planar Monopole and DRA Array”, IEEE Access, Vol.10, pp.49829-49838, May 2022.

  24. E. L. Tan, “Fundamental Equations of Electromagnetics Using Field-Impulses as Physical Field-Integrators,” IEEE Transactions on Antennas and Propagation, Vol. 70, No. 5, pp. 3450-3458, May 2022.

  25. Q. Dai, Y. H. Lee, H. H. Sun, G. Ow, M. L. M. Yusof, and A. C. Yucel, “DMRF-UNet: A two-stage deep learning scheme for GPR data inversion under heterogeneous soil conditions,” IEEE Trans. Antennas Propagat., Vol. 71, Issue 8, pp. 6313-6328, May 2022

  26. H. Zhuang, Z. Lin, K.-A. Toh, "Blockwise Recursive Moore-Penrose Inverse for Network Learning," IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(5), 3237 - 3250, May 2022.

  27. B. Soni, D. K. Patel, Z. Ding, Y. L. Guan and S. Sun, "On Sensing Performance of Multi-antenna Mobile Cognitive Radio conditioned on Primary User Activity Statistics," in IEEE Transactions on Wireless Communications, vol. 21, no. 5, pp. 3381-3394, May 2022. doi: 10.1109/TWC.2021.3121130.

  28. X. Shen, F. Meng, K. B. Lau, P. Wang, and C. H. T. Lee (2022). Texture and microstructure characterizations of Fe-3.5wt%Si soft magnetic alloy fabricated via laser powder bed fusion. Materials Characterization, no. 189, pp. 112012–112021. https://doi.org/10.1016/j.matchar.2022.112012.

  29. Xinghua Liu, Xiang Li, Jiaqiang Tian, Yubo Wang, Gaoxi Xiao, and Peng Wang, “Day-Ahead Economic Dispatch of Renewable Energy System considering Wind and Photovoltaic Predicted Output,” International Transactions on Electrical Energy Systems, Article 6082642, https://doi.org/10.1155/2022/6082642, June 2022.

  30. R. Li, Lipo Wang, P. N. Suganthan and O. Sourina, "Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics," in IEEE Journal of Biomedical and Health Informatics, 2022, doi: 10.1109/JBHI.2022.3185587.

  31. Lipo Wang, Olga Sourina, Marius Erdt, Yaoli Wang and Qing Chang, "Machine Learning Methods for Bio-Medical Image and Signal Processing: Recent Advances," Methods, Vol. 202, pp. 1-2, June 2022.

  32. *Ruilin Li, Lipo P. Wang, O. Sourina, “Subject Matching for Cross-Subject EEG-based Recognition of Driver States Related to Situation Awareness”, Methods, Vol. 202, pp. 136-143, June 2022.

  33. *Yuan Liu, Leonard Wei Leon Yip, Yuanjin Zheng, Lipo Wang, "Glaucoma screening using an attention-guided stereo ensemble network," Methods, Vol. 202, pp. 14-21, June 2022.

  34. W. Luo, Y. H. Lee, L. F. Ow, M. L. M. Yusof, and A. C. Yucel, “Accurate tree roots positioning and sizing over undulated ground surfaces by common offset GPR measurements,” IEEE Trans. Instrum. Meas., Vol. 71, June 2022

  35. Ng, J. P. S., Y. L. Sum, B. H. Soong, M. Maier, Paulo J. M. Monteiro, "Electromagnetic wave propagation through composite building materials in urban environments at mid-band 5G frequencies," IET Microw. Antennas Propag., 1-12, 2022. https://doi.org/10.1049/mia2.12274

  36. Beibei Li, Rongxing Lu, Gaoxi Xiao, Tao Li, and Kim-Kwang Raymond Choo, “Detection of False Data Injection Attacks on Smart Grids: A Resilience-Enhanced Scheme,” IEEE Transactions on Power Systems, vol. 37, no. 4, pp. 2679-2692, July 2022.

  37. Guanghu Zhu, Yuanyuan Shi, Yuye Li, Gaoxi Xiao, Jianpeng Xiao, and Qihuai Liu,  “Model-based projection of Zika infection risk with temperature effects and a case study in Southeast Asia,” Bulletin of Mathematical Biology, vol. 84, no. 9, doi: 10.1007/s11538-022-01049-9, July 2022.

  38. Q. Dai, Y. H. Lee, H. H. Sun, J. Qian, G. Ow, M. L. M. Yusof, and A. C. Yucel, “A deep learning-based GPR forward solver for predicting B-scans of subsurface objects,” IEEE Geosci. Remote Sens. Lett., Vol. 19, 2022.

  39. Huang, Siyu, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, and Dejing Dou (2022). Temporal Output Discrepancy for Loss Estimation-Based Active Learning. IEEE Transactions on Neural Networks and Learning Systems, 2022, doi: 10.1109/TNNLS.2022.3186855. https://ieeexplore.ieee.org/document/9833457

  40. Yalu Li, Haitao Li, and Gaoxi Xiao, “Set Controllability of Markov Jump Switching Boolean Control Networks and Its Applications,”, Nonlinear Analysis: Hybrid Systems, vol. 45, 101179, Aug. 2022.

  41. S. Luo, P. Yang, Y. Che, K. Wu, K. C. Teh, and S. Li, “Spatial modulation for RIS-assisted uplink communication: Joint power allocation and passive beamforming design,” IEEE Trans. Commun., Vol. 69, No. 10, pp. 7017-7031, Oct. 2021.

  42. Y. Cheng, K. H. Li, Y. Liu, K. C. Teh, and G. K. Karagiannidis, “Non-orthogonal multiple access (NOMA) with multiple intelligent reflecting surfaces,” IEEE Trans. Wireless Commun., Vol. 20, No. 11, pp. 7184-7195, Nov. 2021.

  43. Bo Yang; Xuelin Cao; Chongwen Huang; Yong Liang Guan; et al., "Spectrum-Learning-Aided Reconfigurable Intelligent Surfaces for Green 6G Networks," in IEEE Network, vol. 35, no. 6, pp. 20-26, November/December 2021, doi: 10.1109/MNET.110.2100301.

  44. Chao Zhai, Hai-Tao Zhang, Gaoxi Xiao, and Michael Zhiqiang Chen, “Design and Assessment of Sweep Coverage Algorithms for Multi-agent Systems with Online Learning Strategies,” IEEE Transactions on Systems, Man and Cybernetics: Systems, available online since 25/11/2021

  45. W. Luo, Y. H. Lee, H. H. Sun, G. Ow, M. L. M. Yusof, and A. C. Yucel, “Tree roots reconstruction framework for accurate positioning in heterogeneous soil,” IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 15, pp. 1912-1925, 2022

  46. H. Sun, Y. H. Lee, C. Li, G. Ow, M. L. M. Yusof, and A. C. Yucel, “The orientation estimation of elongated underground objects via multi-polarization aggregation and selection neural network,” IEEE Geosci. Remote Sens. Lett., vol. 19, pp. 1-5, 2022

  47. H. H. Sun, Y. H. Lee, Q. Dai, C. Li, G. Ow, M. L. M. Yusof, and A. C. Yucel, “Estimating parameters of the tree root in heterogeneous soil environments via mask-guided multi-polarimetric integration neural network,” IEEE Trans. Geosci. Remote Sens., vol. 60, pp. 1-16, 2022.

  48. Li H, Lee C H, Chia D, Lin Z P, Huang W M, Tan C H, “Machine Learning in Prostate MRI for Prostate Cancer: Current Status and Future Opportunities,” Diagnostics, 12(2), 289, 2022.

  49. X. Peng, H. Li, F. Yuan, S. Razul, Z. Chen and Z. Lin, “An extreme learning machine for unsupervised online anomaly detection in multivariate time series”. Neurocomputing, 501, 596-608, 2022.

  50. Fulin Luo, Zehua Zou, Jiamin Liu, Zhiping Lin, “Dimensionality Reduction and Classification of Hyperspectral Image via Multistructure Unified Discriminative Embedding,” IEEE Transactions on Geoscience and Remote Sensing, 60, 1 – 16, 2022.

  51. Siyuan Peng, Zhijing Yang, Bingo Wing-Kuen Ling, Badong Chen, Zhiping Lin, “Dual Semi-Supervised Convex Nonnegative Matrix Factorization for Data Representation,” Information Sciences, 585, 571–593, 2022.

  1. Min Meng, Xiuxian Li, and Gaoxi Xiao, “Distributed Estimation Under Sensor Attacks: Linear and Nonlinear Observations,” IEEE Transactions on Signal and Information Processing over Networks, vol. 7, pp. 156-165. Jan. 2021. 

  2. S. Xie, H. Chen, Y. Zuo, F. Shen, B. S. Han, C. C. Hoang, and C. H. T. Lee, “A consequent-pole magnetic-geared machine with axially embedded permanent magnets for hybrid electric vehicle,” IEEE Access, vol. 9, pp. 14905–14917, Jan. 2021.

  3. W. Liu, K. T. Chau, C. H. T. Lee, X. Y. Tian, and C. Jiang, “Hybrid frequency pacing high-order transformed wireless power transfer,” IEEE Transactions on Power Electronics, vol. 36, no. 1, pp. 1157–1170, Jan. 2021.

  4. Y. Zuo, J. Mei, X. Zhang, and C. H. T. Lee, “Simultaneous identification of multiple mechanical parameters in a servo drive system using only one speed,” IEEE Transactions on Power Electronics, vol. 36, no. 1, pp. 716–726, Jan. 2021.

  5. Meng Pang, Binghui Wang, Yiu-ming Cheung, Yiran Chen and Bihan Wen, 2021, "VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person," in IEEE Transactions on Information Forensics and Security, vol. 16, pp. 2246-2259. URL: https://ieeexplore.ieee.org/abstract/document/9316985

  6. H. An, J. Wu, K. C. Teh, Z. Sun, and J. Yang, “Nonambiguous image formation for low earth orbit SAR with geosynchronous illumination based on multi-receiving and CAMP,” IEEE Trans. Geosci. Remote Sens., Vol. 59, No. 1, pp. 348-362, Jan. 2021.

  7. Qiang Xu, Xinghao Jiang, Tanfeng Sun, Alex C. Kot, "Detectioin of transcoded HEVC videos based on in-loop filtering and PU partitioning analyses" Signal Processing: Image Communication, Vol 92, 7-Jan-21, https://doi.org/10.1016/j.image.2020.116109

  8. Mauricio Lisboa Perez, Jun Liu, and A C Kot, "Interaction Relational Network for Mutual Action Recognition" IEEE Transactions on Multimedia (TMM), Early Access, 11-Jan-21, 10.1109/TMM.2021.3050642

  9. Xiaoyue Sang, Zhaohui Yuan, Xiaojun Yu, Gaoxi Xiao, Muhammad Tariq Sadiq, Pengfei Yang, and Yu Li, “Simultaneous stable control of temperature field distribution uniformity and consistency for multi-temperature zone systems,” Transactions of the Institute of Measurement and Control, available online since 11 Feb. 2021.

  10. Chao Zhai, Gaoxi Xiao, Min Meng, Hehong Zhang, and Beibei Li, “Identification of Catastrophic Cascading Failures in Protected Power Grids Using Optimal Control,” Journal of Energy Engineering, vol. 147, no. 1, Feb. 2021. 

  11. W. Liu, K. T. Chau, C. H. T. Lee, L. Cao, and C. Jiang, “Frequency-modulated wireless direct-drive motor control,” IEEE Transactions on Magnetics, vol. 57, no. 2, p. 8201907, Feb. 2021.

  12. L. Cao. K. T. Chau, C. H. T. Lee, W. Liu, and T. W. Ching “Analysis of air-gap field modulation in parallel-hybrid-excited harmonics-shift machines,” IEEE Transactions on Magnetics, vol. 57, no. 2, p. 8102606, Feb. 2021.

  13. X. Tian. K. T. Chau, W. Han, and C. H. T. Lee, “Analysis of multi-coil omnidirectional energy harvester,” IEEE Transactions on Magnetics, vol. 57, no. 2, p. 8000806, Feb. 2021.

  14. W. Liu, K. T. Chau, C. H. T. Lee, X. Tian, and C. Jiang, “Low-frequency-switching high-frequency-resonating wireless power transfer,” IEEE Transactions on Magnetics, vol. 57, no. 2, p. 8000408, Feb. 2021.

  15. X. Tian. K. T. Chau, W. Han, and C. H. T. Lee, “Design and analysis of double-layer electromagnetic field limiter for wireless rechargeable medical implants,” IEEE Transactions on Magnetics, vol. 57, no. 2, p. 5100206, Feb. 2021.

  16. L. Cao, K. T. Chau, and C. H. T. Lee, “A double-rotor flux-switching permanent-magnet motor for electric vehicles with magnetic differential,” IEEE Transactions on Industrial Electronics, vol. 68, no. 2, pp. 1004–1015, Feb. 2021.

  17. C. H. T. Lee, “Educating Engineers: A time-honored text,” IEEE Power and Energy Magazine, vol. 19, no. 1, pp. 95–96, Jan./Feb. 2021.

  18. Shaobo Luo, Kim Truc Nguyen, Binh TT Nguyen, Shilun Feng, Yuzhi Shi, Ahmed Elsayed, Yi Zhang, Xiaohong Zhou, Bihan Wen, Giovanni Chierchia, Hugues Talbot, Tarik Bourouina, Xudong Jiang and Ai Qun Liu, 2021, Deep learning‐enabled imaging flow cytometry for high‐speed Cryptosporidium and Giardia detection. Cytometry. 2021; 1– 11. URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/cyto.a.24321

  19. Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu and Alex Chichung Kot, 2021, "A Hybrid Structural Sparsification Error Model for Image Restoration," in IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15. URL: https://ieeexplore.ieee.org/abstract/document/9361634

  20. Yaoli Wang; L. P. Wang, Fangjun Yang, Wenxia Di, Qing Chang, “Advantages of direct input-to-output connections in neural networks: the Elman network for stock index forecasting,” Information Sciences, vol.547, pp.1066-1079, 8 February 2021. 

  21. Huijing Zhan, Jie Lin, Kenan Emir, B Shi, LY Duan, and A C Kot, "A3-FKG: Attentive Attribute-Aware Fashion Knowledge Graph for Outfit Preference Prediction" IEEE Transactions on Multimedia (TMM), Early Access, 16-Feb-21, 10.1109/TMM.2021.3059514

  22. Zhiyuan Zha, Bihan Wen, Xin Yuan, JT Zhou, Ce Zhu, and A C Kot, "A Hybrid Structural Sparsification Error Model for Image Restoration" the IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Early Access, 24-Feb-21, 10.1109/TNNLS.2021.3057439

  23. F. Ayaz, Z. Sheng, D. Tian and Y. L. Guan, "A Proof-of-Quality-Factor (PoQF)-Based Blockchain and Edge Computing for Vehicular Message Dissemination," IEEE Internet of Things Journal, vol. 8, no. 4, pp. 2468-2482, 15 Feb.15, 2021, https://doi.org/10.1109/JIOT.2020.3026731

  24. Min Meng, Gaoxi Xiao, and Daizhan Cheng, “Self-Triggered Scheduling for Boolean Control Networks,” IEEE Transactions on Cybernetics, available online since 04 March 2021. 

  25. Xiaojun Yu, Muhammad Zulkifal Aziz, Muhammad Tariq Sadiq, Zeming Fan, and Gaoxi Xiao, “A New Framework for Automatic Detection of Motor and Mental Imagery EEG Signals for Robust BCI Systems,” IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-12, Mar. 2021.

  26. X. Tian. K. T. Chau, W. Liu, and C. H. T. Lee, “Selective wireless power transfer using magnetic field editing,” IEEE Transactions on Power Electronics, vol. 36, no. 3, pp. 2710–2719, March 2021.

  27. L. Zhou and Z. Shen, “Hybrid frequency-selective rasorber with low-frequency diffusion and high-frequency absorption,” IEEE Trans. on Antennas and Propagation, vol. 69, no. 3, pp. 1469-1476, Mar. 2021.

  28. J. Ren, X. Jiang, “A Three-Step Classification Framework to Handle Complex Data Distribution for Radar UAV Detection,” Pattern Recognition, vol. 111, 107709, Mar 2021.

  29. Muhammad Baqer Mollah; Jun Zhao; Dusit Niyato; Yong Liang Guan; Chau Yuen; Sumei Sun; Kwok-Yan Lam; Leong Hai Koh, "Blockchain for the Internet of Vehicles towards Intelligent Transportation Systems: A Survey," IEEE Internet of Things Journal, vol. 8, no. 6, pp. 4157-4185, 15 March15, 2021, https://doi.org/10.1109/JIOT.2020.3028368

  30. Xiaoyue Zhang, Xinghua Liu, Fanghong Guo, Gaoxi Xiao, and Peng Wang, “Calculation of DC Bias Reactive Power Loss of Converter Transformer via Finite Element Analysis,” IEEE Transactions on Power Delivery, vol. 36, no. 2, pp. 751-759, Apr. 2021.

  31. H. Zhang, G. Xiao, X. Yu, and Y. Xie, "On Convergence Performance of Discrete-Time Optimal Control Based Tracking Differentiator," IEEE Transactions on Industrial Electronics, vol. 68, no. 4, pp. 3359-3369, Apr. 2021.

  32. Y. Zuo, J. Mei, C. Jiang, and C. H. T. Lee, “Digital implementation of deadbeat-direct torque and flux control for permanent magnet synchronous machines in the M-T reference frame,” IEEE Transactions on Power Electronics, vol. 36, no. 4, pp. 4610–4621, April 2021.

  33. Qiang Xu, Xinghao Jiang, Tanfeng Sun, Alex C. Kot, "Detection of HEVC double compression with non-aligned GOP structures via inter-frame quality degradation analysis" Neurocomputing, Vol 42 Pages 99-113, 29-Apr-21, https://doi.org/10.1016/j.neucom.2021.04.092

  34. K. Lim, X. Jiang, “Posterior Approximation using Stochastic Gradient Ascent with Adaptive Step Size,” Pattern Recognition, vol. 112, 107783, Apr 2021.

  35. Li Deng, Zilong Liu, Yong Liang Guan, Xiaobei Liu, Chaudhry Adnan Aslam, Xiaoxi Yu, Zhiping Shi, "Perturbed Adaptive Belief Propagation Decoding for High-Density Parity-Check Codes," IEEE Transactions on Communications, vol. 69, no. 4, pp. 2065-2079, April 2021, https://doi.org/10.1109/TCOMM.2020.3047085

  36. S. Kavaiya, D. K. Patel, Z. Ding, Y. L. Guan and S. Sun, "Physical Layer Security in Cognitive Vehicular Networks," IEEE Transactions on Communications, vol. 69, no. 4, pp. 2557-2569, April 2021, https://doi.org/10.1109/TCOMM.2020.3038904

  37. K. Xiong, S. Leng, C. Huang, C. Yuen and Y. L. Guan, "Intelligent Task Offloading for Heterogeneous V2X Communications," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 4, pp. 2226-2238, April 2021, https://doi.org/10.1109/TITS.2020.3015210

  38. Kun Song, Guoqi Li, Xumin Chen, Lei Deng, Gaoxi Xiao, Fei Zeng and Jing Pei, “Target Controllability of Two-layer Multiplex Networks based on Network Flow Theory,” IEEE Transactions on Cybernetics, vol. 51, no. 5, pp. 2699-2711, May 2021. 

  39. JY Hong, B Lam, ZT Ong, K Ooi, W.S.Gan, J Kang, Samuel Yeong, Irene Lee, ST Tan, “A mixed-reality approach to soundscape assessment of outdoor urban environments augmented with natural sounds,” Building and Environment, vol 194, May 2021.

  40. C. Yang, X. Liu, Y. L. Guan and R. Liu, "Fast GAMP Algorithm for Nonlinearly Distorted OFDM Signals," IEEE Communications Letters, vol. 25, no. 5, pp. 1682-1686, May 2021, https://doi.org/10.1109/LCOMM.2021.3056657

  41. Guang Ling, Ming-Feng Ge, Xinghua Liu, Gaoxi Xiao, and Qingju Fan, “Stochastic Quasi-synchronization of Heterogeneous Delayed Impulsive dynamical Networks via Single Impulsive Control,” Neural Networks, vol. 139, pp. 223-236, July 2021. 

  42. V. Mishuhina, X. Jiang, “Complex Common Spatial Patterns on Time-Frequency Decomposed EEG for Brain-Computer Interface,” Pattern Recognition, vol. 115, 107918, Jul 2021.

  43. X. Xiao, Y. L. Lu, X. M. Huang, T. Chen (2021),  "Temporal Series Crop Classification Study in Rural China Based on Sentinel-1 SAR Data,"  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 2769-2780. https://ieeexplore.ieee.org/document/9351589

  44. T. S. Lau and W. P. Tay, "Asymptotically optimal sampling policy for quickest change detection with observation-switching cost," IEEE Transactions on Signal Processing, vol. 69, pp. 1332 – 1346, 2021.

  45. C. X. Wang, Y. Song, and W. P. Tay, "Arbitrarily strong utility-privacy tradeoff in multi-agent systems," IEEE Transactions on Information Forensics and Security, vol. 16, pp. 671 – 684, 2021.

  46. C. Jin, Q. Lv, S. An, Z. S. He, J. Liu, B. Zhang, and Z. Shen, “Ultra-wide-angle bandpass frequency-selective surface,” IEEE Trans. on Antennas and Propagation, vol. 69, 2021.

  47. W. Tan, X. Shan, and Z. Shen, “Ultra-wideband circularly polarized antenna with shared semi-circular patches,” IEEE Trans. on Antennas and Propagation, vol. 69, 2021.

  48. Kun Zhang, Rong Su, Huaguang Zhang, Yunlin Tian, “A Novel Resilient Control Scheme for a Class of Markovian Jump Systems with Partially Unknown Information.” IEEE Transactions on Cybernetics, online, doi: 10.1109/TCYB.2021.3050619.

  49. Kun Zhang, Rong Su, Huaguang Zhang, Yunlin Tian, “Adaptive Resilient Event-Triggered Control Design of Autonomous Vehicles with an Iterative Single Critic Learning Framework.” IEEE Transactions on Neural Networks and Learning Systems, online, doi: 10.1109/TNNLS.2021.3053269.

  50. Bohui Wang, Bin Zhang, Rong Su, “Optimal Tracking Cooperative Control for Cyber-Physical Systems: Dynamic Fault-Tolerant Control and Resilient Management.” IEEE Transactions on Industrial Informatics,17(1): 158 – 167, doi: 10.1109/TII.2020.2965538.

  51. Y. Wang, Z.P. Bian, J. Hou and L.P. Chau, Convolutional Neural Networks with Dynamic Regularization, accepted by IEEE Transactions on Neural Networks and Learning Systems, Volume 32, Issue 5, pp. 2299-2304, 2021.

  52. K. Ooi, Y. Xie, B. Lam, and W.S. Gan, "Automation of binaural headphone audio calibration on an artificial head," MethodsX, https://doi.org/10.1016/j.mex.2021.101288

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  54. Hang Zhang, Jie Zhou, Yong Zou, Ming Tang, Gaoxi Xiao, and H. Eugene Stanley, “Asymmetric Interdependent Networks with Multiple-dependence Relation,” Physical Review E, 101, 022314, 24 Feb. 2020. 

  55. Kushal Anand; Yong Liang Guan; Xiaobei Liu; Zilong Liu; Yang Yang; Zhengchun Zhou; Pingzhi Fan; Erry G, "Pilot Design for BEM-Based Channel Estimation in Doubly Selective Channel," IEEE Transactions on Vehicular Technology, vol. 69, no. 2, pp. 1679-1694, Feb. 2020, https://doi.org/10.1109/TVT.2019.2958976

  56. Piao Chen, Xiuju Fu, Stefan Ma, Haiyan Xu, Wanbing Zhang, Gaoxi Xiao, Rick Goh, George Xu, and Lee Ching Ng, “Early Dengue Outbreak Detection Modeling Based on Dengue Incidences in Singapore during 2012-2017,” Statistics in Medicine, March 2020; pp. 1–14. https://doi.org/10.1002/sim.8535. 

  57. Linfeng Liu, Ran Wang, Gaoxi Xiao, and Dongyue Guo, “On the Throughput Optimization for Message Dissemination in Opportunistic Underwater Sensor Networks,” Computer Networks, vol. 169, 107097, Mar. 2020. 

  58. S. Saponara, C. H. T. Lee, N. X. Wang, and J. L. Kirtley, “Electric drives and power chargers: Recent solutions to improve performance and energy-efficiency for hybrid and fully electric vehicles,” IEEE Vehicular Technology Magazine, vol. 15, no. 1, pp. 73–83, March 2020.

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  61. Ni, Z., Ma, K. K., Zeng, H., & Zhong, B. (2020). Color Image Demosaicing Using Progressive Collaborative Representation. IEEE Transactions on Image Processing, 29, 4952–4964.

  62. Ran Liu; Sumudu Hasala Marakkalage; Madhushanka Padmal; Thiruketheeswaran Shaganan; Chau Yuen; Yong Liang Guan, "Collaborative SLAM Based on WiFi Fingerprint Similarity and Motion Information," IEEE Internet of Things Journal, vol. 7, no. 3, pp. 1826-1840, March 2020, https://doi.org/10.1109/JIOT.2019.2957293

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  66. Wenyun Sun, Yu Song, Changsheng Chen, Jiwu Huang, Alex C. Kot, "Face Spoofing Detection Based on Local Ternary Label Supervision in Fully Convolutional Networks" IEEE Transactions on Information Forensics and Security (TIFS), Vol 15 Pages 3181 – 3196, 3-Apr-20, 10.1109/TIFS.2020.2985530

  67. Dahai Zhao, Gaoxi Xiao, Zhen Wang, Lianhai Wang, and Lijuan Xu, “Minimum Dominating Set in Multiplex Networks: Definition, Application, and Identification,” IEEE Transactions on Systems, Man and Cybernetics: Systems, accepted for publication, available online since 13 May 2020. 

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  73. Guoqi Li, Xumin Chen, Pei Tang, Gaoxi Xiao, Changyun Wen, and Luping Shi, “Target Control of Directed Networks based on Network Flow Problems,” IEEE Transactions on Control of Network Systems, vol. 7, no. 2, pp. 673-685, June 2020. 

  74. W. Liu, K. T. Chau, C. H. T. Lee, W. Han, X. Tian, and W. H. Lam, “Full-range soft-switching pulse frequency modulated wireless power transfer,” IEEE Transactions on Power Electronics, vol. 35, no. 6, pp. 6533–6547, June 2020.

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  77. Qian Zheng, Boxin Shi, Gang Pan, "Summary Study of Data-Driven Photometric Stereo" Virtual Reality & Intelligent Hardware (VRIH) Vol 2 Issue 3 Page 213-221, 30-Jun-20, https://doi.org/10.1016/j.vrih.2020.03.001

  78. Zeming Fan, Xiaojun Yu, Hao Wan, Meilin Kang, Yuan Liu, Yuye He, and Gaoxi Xiao, “A time-delay bounded data scheduling algorithm for delay reduction in  distributed networked control system,” Mathematical Problems in Engineering, 8290879, July 2020.

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  86. Hieu Nguyen; Xu Xiaoli; Md. Noor-A-Rahim; Yong Liang Guan; Dirk Pesch; Hong Li; Alessio Filippi, "Impact of Big Vehicle Shadowing on Vehicle-to-Vehicle Communications," IEEE Transactions on Vehicular Technology, vol. 69, no. 7, pp. 6902-6915, July 2020, https://doi.org/10.1109/TVT.2020.2994407

  87. Z. Zhang, Y. Li, G. Song, C. Yuen and Y. L. Guan, "Random NOMA With Cross-Slot Successive Interference Cancelation Packet Recovery," IEEE Wireless Communications Letters, vol. 9, no. 7, pp. 1065-1069, July 2020, https://doi.org/10.1109/LWC.2020.2981021

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  92. Nirbhay Kumar Tagore, Pratik Chattopadhyay, L. P. Wang, “T-MAN: A Neural Ensemble Approach for Person Re-Identification using Spatio-temporal Information", Multimedia Tools and Applications, August, 2020.

  93. Haoliang Li, Renjie Wan, Siqi Wang, Alex C. Kot, "Unsupervised Domain Adaptation in the Wild via Disentangling Represention Learning" International Journal of Computer Vision (IJCV), Vol 129 Pages 267-283, 11-Aug-20, https://doi.org/10.1007/s11263-020-01364-5

  94. Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Ce Zhu, Bihan Wen, "Image restoration via simultaneous nonlocal self-similarity priors" IEEE Transactions on Image Processing (TIP), Vol 29 Pages 8561-8576, 21-Aug-20, 10.1109/TIP.2020.3015545

  95. B. Lei, Z. Xia, F. Jiang, X. Jiang, Z. Ge, Y. Xu, J. Qin, S. Chen, T. Wang, S. Wang, “Skin Lesion Segmentation via Generative Adversarial Networks with Dual Discriminators,” Medical Image Analysis, Vol. 64, Aug 2020.

  96. Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou and Ce Zhu, 2020, "Group Sparsity Residual Constraint With Non-Local Priors for Image Restoration," in IEEE Transactions on Image Processing, vol. 29, pp. 8960-8975. URL: https://ieeexplore.ieee.org/abstract/document/9190055

  97. R Zhang, Z Liu, K Qian, S Zhang, P Du, C Chen and A Alphones, “Outage Bridging and Trajectory Recovery in Visible Light Positioning using Insufficient RSS Information”, IEEE Access,Vol.8, Sept 2020.

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  99. Haoliang Li, Shiqi Wang, Renjie Wan, Alex C. Kot, "GMFAD: Towards Generalized Visual Recognition via Multi-Layer Feature Alignment and Disentanglement" IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Early Access, 1-Sep-20, 10.1109/TPAMI.2020.3020554

  100. Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Ce Zhu, "Group Sparsity Residual Constraint With Non-Local Priors for Image Restoration" IEEE Transactions on Image Processing (TIP), Vol 29 Pages 8960-8975, 9-Sep-20, 10.1109/TIP.2020.3021291

  101. Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot, "Face Image Reflection Removal, International Journal of Computer Vision (IJCV)" Vol 129 Pages 385–399, 15-Sep-20, https://doi.org/10.1007/s11263-020-01372-5

  102. Rizhao Cai, Haoliang Li, Shiqi Wang, Changsheng Chen, and Alex C. Kot, "DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing" IEEE Transactions on Information Forensics and Security (TIFS), Vol 16 Pages 937-951, 24-Sep-20, 10.1109/TIFS.2020.3026553

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  105. Ji, J., Zhong, B., & Ma, K. K. (2020). Image Interpolation Using Multi-Scale Attention-Aware Inception Network. IEEE Transactions on Image Processing, 29, 9413–9428. https://doi.org/10.1109/tip.2020.3026632

  106. R. Rezaei, N. Omidvar, M. Movahednasab, M. R. Pakravan, S. Sun and Y. L. Guan, "Efficient, Fair, and QoS-Aware Policies for Wirelessly Powered Communication Networks," IEEE Transactions on Communications, vol. 68, no. 9, pp. 5892-5907, Sept. 2020, https://doi.org/10.1109/TCOMM.2020.3002584

  107. Zhaoji Zhang; Ying Li; Chongwen Huang; Qinghua Guo; Lei Liu; Chau Yuen; Yong Liang Guan, "User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet of Things," IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8811-8825, Sept. 2020, https://doi.org/10.1109/JIOT.2020.2997336

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  109. D. Manandhar, K.-H. Yap, and M. Bastan, “Semantic Granularity Metric Learning for Visual Search” accepted for publication in Journal of Visual Communication and Image Representation, Oct 2020.

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  112. Xinghua Liu, Wee Peng Tay, Zhiwei Liu, and Gaoxi Xiao, “Quasi-synchronization of heterogeneous network with a generalized Markovian topology and event-triggered communication,” IEEE Transactions on Cybernetics, vol. 50, no. 10, pp. 4200-4213, Oct. 2020. 

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  117. M. Noor-A-Rahim, Z. Liu, Y. L. Guan and L. Hanzo, "Finite-Length Performance Analysis of LDPC Coded Continuous Phase Modulation," IEEE Transactions on Vehicular Technology, vol. 69, no. 10, pp. 12277-12280, Oct. 2020, https://doi.org/10.1109/TVT.2020.3012727

  118. L. Cao, K. T. Chau, and C. H. T. Lee, “A new parallel-excited machine with harmonic-differential effect for electric vehicles,” IEEE Transactions on Vehicular Technology, vol. 69, no. 11, pp. 12734–12750, November 2020.

  119. J. Mei, Y. Zuo, C. H. T. Lee, and J. L. Kirtley, “Modeling and optimization method for axial flux induction motor of electric vehicles,” IEEE Transactions on Vehicular Technology, vol. 69, no. 11, pp. 12822–12831, November 2020.

  120. Q. Lv, C. Jin, and Z. Shen, “Frequency-scanning multi-polarization antennas,” IEEE Trans. on Antennas and Propagation, vol. 68, no. 11, pp. 7245-7254, Nov. 2020.

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  122. Ayush Agarwal, Pratik Chattopadhyay, L. P. Wang, "Privacy Preservation through Facial De-identification with Simultaneous Emotion Preservation," Signal, Image and Video Processing, November, 2020.

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  127. Chao Zhai, Hehong Zhang, Gaoxi Xiao, Peng Wang, Tso-Chien Pan, “Identifying Disruptive Contingencies for Catastrophic Cascading Failures in Power Systems,” International Journal of Electrical Power and Energy Systems, vol. 123, 106214, Dec. 2020. 

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  93. Chao Zhai, Hehong Zhang, Gaoxi Xiao and Tso-Chien Tan, “A Model Predictive Approach to Preventing Cascading Failures of Power Systems,” International Journal of Electrical Power & Energy Systems, vol. 133, pp. 310-321, Dec. 2019.  

  94. Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Zeming Fan, Ateeq Ur Rehman, Inam Ullah, Guoqi Li, and Gaoxi Xiao, “Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform based Framework for Robust Brain Computer Interfaces,” IEEE Access, vol. 7, pp. 171431-171451, Nov. 2019. 

  95. Wentao Ma, Jinzhe Qiu, Xinghua Liu, Gaoxi Xiao, Jiandong Duan, and Badong Chen, “Unscented Kalman Filter with Generalized Correntropy Loss for Robust Power System Forecasting-Aided State Estimation,” IEEE Transactions on Industrial Informatics, vol. 15, no. 11, pp. 6091-6100, Nov. 2019. 

  96. Jie Li, Chengyi Xia, Gaoxi Xiao, and Yamir Moreno, “Crash Dynamics of Interdependent Networks,” Scientific Reports, vol. 9, 14574, Oct. 2019

  97. Lijia Ma, Wee Peng Tay, and Gaoxi Xiao, “Iterative Expectation Maximization for Reliable Social Sensing with Dependent Individuals,” Information Sciences, vol. 501, pp. 621-634, Oct. 2019.

  98. Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Zeming Fan, Ateeq Ur Rehman, Inam Ullah and Gaoxi Xiao, “Motor Imagery EEG Signals Classification based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform,” IEEE Access, vol. 7, pp. 127678-127692, Sept. 2019.

  99. Min Meng, Gaoxi Xiao, Chao Zhai, and Guoqi Li, “Controllability of Markovian Jump Boolean Control Networks,” Automatica, vol. 106, pp. 70-76, Aug. 2019.

  100. Hehong Zhang, Chao Zhai, Gaoxi Xiao, and Tso-Chien Tan, “Identifying Critical Risks of Cascading Failures in Power Systems,” IET Generation, Transmission & Distribution, vol. 13, no. 12, pp. 2438-2445, July 2019. 

  101. Yunde Xie, Hehong Zhang, Longhua She, Gaoxi Xiao, Chao Zhai, and Tso-Chien Pan, “Design and Implementation of an Efficient Tracking Differentiator,” IEEE Access, vol. 7, pp. 101914-101949, July 2019.

  102. Hehong Zhang, Yunde Xie, Gaoxi Xiao, Chao Zhai, and Zhiqiang Long, “A Simple Discrete Time Tracking Differentiator and Its Application to Speed and Position Detection System for a Maglev Train,” IEEE Transactions on Control System Technology, vol. 27, no. 4, pp. 1728-1734, July 2019. 

  103. Beibei Li, Rongxing Lu, Gaoxi Xiao, Haiyong Bao, and Ali A. Ghorbani, “Towards Insider Threats Detection in Smart Grid Communication Systems,” IET Communications, vol. 13, no. 12, pp.1728-1736, July 2019. 

  104. Dawei Zhao, Lianhai Wang, Zhen Wang, and Gaoxi Xiao, “Virus Propagation and Patch Distribution in Multiplex Networks: Modeling, Analysis and Optimal Control,” IEEE Transactions on Information Forensics & Security, vol. 14, no. 7, pp. 1755-1767, July 2019. 

  105. Xiaocong Zhu, Jie Zhou, Ming Tang, Yong Zou and Gaoxi Xiao, “Enhanced connection adaption strategy with partition approach,” IEEE Access, vol. 7, no. 1, pp. 34162-34169, Mar. 2019. 

  106. Chao Zhai, Gaoxi Xiao, and Michael Z. Q. Chen, “Distributed Sweep Coverage Algorithm of Multi-Agent Systems Using Workload Memory,” Systems and Control Letters, vol. 124, pp. 75-82, Feb. 2019.

  107. Xiaojun Yu, Zeming Fan, Hao Wen, Yuye He, Junye Du, Nan Li, Zhaohui Yuan, and Gaoxi Xiao, “Positioning, Navigation, and Book Accessing/Returning in an Autonomous Library Robot using Integrated Binocular Vision and QR Code Identification Systems,” Sensors, vol. 19, no. 4, 783, doi:10.3390/s19040783, Feb. 2019.

  108. Xiaolin Li, Peng Wang, Xin-Jian Xu, and Gaoxi Xiao, “Universal Behavior of the Linear Threshold Model on Weighted Networks,” Journal of Parallel and Distributed Computing, vol. 123, pp. 223-229, Jan. 2019. 

  109. Y. Cheng, K. H. Li, K. C. Teh, S. Luo and W. Wang, “Performance analysis of cooperative NOMA systems with adaptive mode selection and subchannel allocation,” IEEE Transactions on Vehicular Technology, vol. 68, no. 11, pp. 10981–10990, Nov. 2019.​

  110. B. Shen, Y. Yang, Z. Zhou, P. Fan and Y. Guan, "New Optimal Binary Z-Complementary Pairs of Odd Length 2m+3," in IEEE Signal Processing Letters, vol. 26, no. 12, pp. 1931-1934, Dec. 2019. 

  111. Ran Liu; Sumudu Hasala Marakkalage; Madhushanka Padmal; Thiruketheeswaran Shaganan; Chau Yuen; Yong Liang Guan; U-Xuan Tan, "Collaborative SLAM based on fWifi Fingerprint Similarity and Motion Information," in IEEE Internet of Things Journal, 03 December 2019. 

  112. Kushal Anand; Yong Liang Guan; Xiaobei Liu; Zilong Liu; Yang Yang; Zhengchun Zhou; Pingzhi Fan; Erry Gunawan, "Pilot Design for BEM-based Channel Estimation in Doubly Selective Channel," in IEEE Transactions on Vehicular Technology, 11 December 2019. ​

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  114. Yixin Wang, Md Noor-A-Rahim, Jingyun Zhang, Erry Gunawan, Yong Liang Guan, Chueh Loo Poh, “High capacity DNA data storage with variable-length Oligonucleotides using repeat accumulate code and hybrid mapping”, Journal of Biological Engineering 13, Article number 89, 21 November 2019. 

  115. Y. Wang, M. Noor-A-Rahim, J. Zhang, E. Gunawan, Y. L. Guan and C. L. Poh, "Oligo Design with Single Primer Binding Site for High Capacity DNA-Based Data Storage," in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10 September 2019. 

  116. G. G. MD. Nawaz Ali, MD. Noor-A-Rahim, MD. Ashiqur Rahman, Beshah Ayalew, Peter H. J. Chong, and Yong Liang Guan. “Cooperative Cache Transfer-based On-demand Network Coded Broadcast in Vehicular Networks”, ACM Transactions on Embedded Computing Systems 18, 4, Article 38, July 2019.​

  117. Guoming Wang, Rongxing Lu, Cheng Huang, Yong Liang Guan, “An efficient and privacy-Preserving pre-clinical guide scheme for mobile eHealthcare”, Journal of Information Security and Applications, Volume 46, June 2019, Pages 271-280.

  118. G. G. MD. Nawaz Ali, Kai Liu, Victor C.S. Lee, Peter H.J. Chong, Yong Liang Guan, Jun Chen, “Towards efficient and scalable implementation for coding-based on-demand data broadcast”, Computer Networks, Volume 154, 8 May 2019, Pages 88-104. 

  119. Jie Guo, Bin Song, Yuhao Chi, Lahiru Jayasinghe, Chau Yuen, Yong Liang Guan, Xiaojiang Du, Mohsen Guizani, “Deep neural network-aided Gaussian message passing detection for ultra-reliable low-latency communications”, Future Generation Computer Systems, Volume 95, June 2019, Pages 629-638. 

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  128. L. Deng; Yixin Wang; MD. Noor-A-Rahim; Yong Liang Guan; Zhiping Shi; Erry Gunawan; Chueh Loo Poh; "Optimized Code Design for Constrained DNA Data Storage With Asymmetric Errors," in IEEE Access, vol. 7, pp. 84107-84121, 26 June 2019. 

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  134. Z. Yang, N. A. A. Rashid, Y. F. Quek, M. Lam, Y. M. See, Y. Maniam, J. Dauwels, B. L. Tan, J. C. K. Lee, "Montreal Cognitive Assessment as a screening instrument for cognitive impairments in schizophrenia", Schizophrenia Research, March 2018, vol. 199, pp. 58-63.

  135. K. Wu, V. G. Reju, A. W. H. Khong, “Multi-source DOA estimation in a reverberant environment using a single acoustic vector sensor,” IEEE Trans. Audio, Speech, Language Process., 2018.

  136. X. Han, Z. Chen, R. Su. (2018). Synthesis of minimally-restrictive optimal stability-enforcing supervisors for nondeterministic discrete event systems. Systems & Control Letters, vol. 123, pp. 33-39.

  137. K. Gao, Y. Zhang, Y. Zhang_, R. Su, P. Suganthan. (2018). Meta-heuristics for bi-objective urban traffic light scheduling problems. IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 7, pp. 2618-2629.

  138. S. Ali, K. Gao, Y. Zhang, Y. Zhang_, R. Su, (2018). Management of traffic congestion in adaptive traffic signals using a novel classification-based approach. Engineering Optimization, DOI: 10.1080/0305215X.2018.1525708.

  139. N. Radhakrishnan, S. Srinivasan, R. Su, K. Poolla. (2018). Learning based hierarchical distributed HVAC scheduling with operational constraints. IEEE Transactions on Control Systems Technology, vol. 26, no. 5, pp. 1892-1900.

  140. F. Yang, Y. Qiao, K. Gao, N. Wu, Y. Zhu, S. Ware and R. Su, (2018). Efficient approach to scheduling of transient processes for time-constrained single-arm cluster tools with parallel chambers. IEEE Transactions on Systems, Man and Cybernetics: Systems, SMCA-17-11-1423, DOI: 10.1109/TSMC.2018.2852724.

  141. K. Bekiroglu, O. Duru, E. Gulay, R. Su, and C. Lagoa. (2018). Predictive analytics of crude oil prices by utilizing the intelligent model search engine (IMSE). Applied Energy, vol. 228, pp. 2387-2397.

  142. R. Su, W. M. Wonham. (2018). What information really matters in supervisor reduction. Automatica, vol. 95, pp. 368-377.

  143. L. Lin, T. Masopust, W. M. Wonham, R. Su. (2018). Automatic generation of optimal reductions of distributions. IEEE Transactions on Automatic Control, vol. 64, no. 3, pp. 896-911.

  144. F. Adib Yaghmaie, K. Hengster-Movric, F. L. Lewis, R. Su, M. Sebek. (2018). Output H1 synchronization of heterogeneous linear multi-agent systems: graphical games and LMI approach. International Journal of Robust and Nonlinear Control, vol. 28, no. 13, pp. 3852-3870.

  145. R. Su. (2018). Supervisor synthesis to thwart cyber attack with bounded sensor reading alterations. Automatica, vol. 94, pp. 35-44.

  146. F. Yang, N. Wu, K. Gao, Y. Zhu, R. Su, Y. Qiao and S. Ware. (2018). Efficient approach to cyclic scheduling of single-arm cluster tools with chamber cleaning operations and wafer residency time constraint. IEEE Transactions on Semiconductor Manufacturing, vol. 31, no. 2, pp. 196-205.

  147. F. Yang, K. Gao, S. Ware, Y. Zhu, R. Su. (2018). Decomposition methods for manufacturing system scheduling: a survey. IEEE/CAA Journal of Automatica Sinica, vol. 5, no. 2, March 2018.

  148. A. Lentzakis, S. Ware, R. Su. (2018). Regional-based prescriptive route guidance for travelers of multiple classes. Transportation Research Part C, vol. 87, pp. 138-158.

  149. F. Yang, N. Wu, Q. Yan, R. Su. (2018). Polynomial approach to optimal one-wafer cyclic scheduling of treelike hybrid multi-cluster tools via Petri nets. IEEE/CAA Journal of Automatica Sinica, vol. 5, no. 1, pp. 270-280.

  150. L. Lin, A. Stefanescu, W. Wang, R. Su, W.M. Wonham. (2018). Symbolic reachability analysis and maximal permissive entrance control of globally synchronized templates. Automatica, vol. 87, pp. 290-300.

  151. F. Yang, N. Wu, Y. Qiao, R. Su, M. Zhou. (2018). Petri net-based e_cient determination of optimal schedule for transport-dominant single-arm multi-cluster tools. IEEE Access, vol. 6, pp. 355-365.

  152. Changzheng Ma, Tat-Soon Yeo and Boon Poh Ng, “MIMO Radar Imaging Based on Multidimensional Linear Equations and Sparse Signal Recovery”, IET Radar, Sonar & Navigation, Volume: 12, Issue: 1, Pages: 3-10, Published: January 2018.

  153. Dharmawan Dhimas Arief, Boon Poh Ng and Susanto Rahardja, “A Modified Dolph-Chebyshev Type II Function Matched Filter for Retinal Vessels Segmentation”, Symmetry, Volume 10, Issue 7, July 2018.​

  154. Y. Liu, A. C. Yucel, A. C. Gilbert, H. Bağcı, and E. Michielssen, “A wavelet-enhanced PWTD-accelerated time-domain integral equation solver for analysis of transient scattering from electrically large conducting objects,” IEEE Trans. Antennas Propag., vol. 66, no.5, pp. 2458-2470, 2018

  155. A. C. Yucel*, W. Sheng, C. Zhou, Y. Liu, H. Bağcı, and E. Michielssen, “An FMM-FFT accelerated SIE simulator for analyzing EM wave propagation in mine environments loaded with conductors,” IEEE Journal on Multiscale and Multiphysics Comp. Techn., vol.3, pp. 3-15, 2018

  156. A. C. Yucel*, L. J. Gomez, and E. Michielssen, “Internally combined volume surface integral equation for EM analysis of inhomogeneous negative permittivity plasma scatterers,” IEEE Trans. Antennas Propag., vol. 66, no. 4, pp.1903-1913, 2018

  157. A. C. Yucel*, I. Georgakis, A. G. Polimeridis, H. Bağcı, and J. White, “VoxHenry: A fast Fourier transform - accelerated 3D inductance extraction program for voxelized geometries,” IEEE Trans. Microw. Theory Techn., vol. 66, no. 4, pp. 1723-1735, 2018

  158. L. J. Gomez, A. C. Yucel, and E. Michielssen, “The ICVSIE: A general purpose integral equation method for bio-electromagnetic analysis,” IEEE Trans. Biomedical Engineering, vol. 65, no.3, pp. 565-574, 2018

Conference Publications

  1. C Lu, Nasimuddin and A Alphones, "4 x4 Butler Matrix based Beam Steering Antenna Systems using Substrate Integrated Waveguide", 16th European Conf on Antennas and Propagation, pp.1-5, April 2022.

  2. X. Jian and W. P. Tay, “Wide-sense stationarity and spectral estimation for generalized graph signal,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Singapore, May 2022.

  3. Y. Xu, C. X. Wang, Y. Song, and W. P. Tay, “Preserving trajectory privacy in driving data release,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Singapore, May 2022.

  4. Zuozhou Pan, Zhiping Lin, Yuanjin Zheng, Zong Meng, “FAST FAULT DIAGNOSIS METHOD OF ROLLING BEARINGS IN MULTI-SENSOR MEASUREMENT ENVIROMENT,” in Proc. IEEE ICASSP 2022, Singapore, May 2022.

  5. Hanhui Li, Xinggan Peng, Huiping Zhuang, Zhiping Lin, “MULTIPLE TEMPORAL CONTEXT EMBEDDING NETWORKS FOR UNSUPERVISED TIME SERIES ANOMALY DETECTION,” in Proc. IEEE ICASSP 2022, Singapore, May 2022.

  6. Juncheng Chen, Jun-Sheng Ng, Nay Aung Kyaw, Ne Kyaw Zwa Lwin, Kwen-Siong Chong, Zhiping Lin, Joseph Sylvester Chang, Bah-Hwee Gwee. "Non-Profiling Based Correlation Optimization Deep Learning Analysis", in Proc. of the 2022 IEEE International Symposium on Circuits & Systems, Austin, Texas, May 2022.

  7. S. Wang, Yueqi Duan, Henghui Ding, Y.-P. Tan, K-H. Yap, J. Yuan, “Learning Transferable Human-Object Interaction Detector with Natural Language Supervision,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, June 2022.

  8. Zha, Zhiyuan, Bihan Wen, Xin Yuan, Jiantao Zhou, and Ce Zhu, "Simultaneous Nonlocal Low-Rank And Deep Priors For Poisson Denoising", ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2320-2324, 2022. https://ieeexplore.ieee.org/abstract/document/9746870

  9. Huang, Siyu, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, and Dejing Dou, "Parameter-Free Style Projection for Arbitrary Image Style Transfer", ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2070-2074, 2022. https://ieeexplore.ieee.org/abstract/document/9746290

  10. Jing, Kunlei, Xinman Zhang, Zhiyuan Yang, and Bihan Wen, "Feature Augmentation Learning for Few-Shot Palmprint Image Recognition With Unconstrained Acquisition", ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3323-3327, 2022. https://ieeexplore.ieee.org/abstract/document/9746999

  11. W. Li, K. C. Teh, D. Zhang, W. Yi, and A. C. Kot, “An improved two-stage based multi-frame track-before-detect algorithm in radar systems,” Accepted for publication in the Proc.- The 25th International Conference on Information Fusion (FUSION 2022), Linkoping, Sweden, pp. 1-6, July 2022.

  12. L. Cao, Y. Zuo, S. Xie, C. C. Hoang, B. S. Han, and C. H. T. Lee (2022). “A comparison of permanent-magnet vernier motor and interior permanent-magnet motor for hybrid electric vehicles.” 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia): IEEE, Himeji, Japan, May 2022.

  13. S. H. Lee, F. Ji, and W. P. Tay, “SGAT: Simplicial graph attention network,” in Proc. International Joint Conference on Artificial Intelligence (IJCAI), Vienna, Austria, Jul. 2022.

  14. W. Luo, Y. H. Lee, A. C. Yucel, G. Ow, and M. L. M. Yusof. "SFCW GPR tree roots detection enhancement by time-frequency analysis in tropical areas," In Proc. IEEE Int. Geoscience and Remote Sensing Symp., Kuala Lumpur, Malaysia, 17-22 July, 2022.

  15. Chamara Kasun Liyanaarachchi Lekamalage, Zhiping Lin, Guang-Bin Huang, Jagath Chandana Rajapakse, “Cascaded Adversarial Learning for Speaker Independent Emotion Recognition,” IEEE World Congress on Computational Intelligence Chairs (WCCI), Centro Congressi Padova, Italy, July 2022.

  16. Rongzihan Song, Pius, Zhen Ye Lim, Albert Causo*, Naveen Gnanaprakasam, Zhiping Lin, I-Ming Chen, “Fast surgical instruments identification system to facilitate robot picking,” IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Sapporo, Japan, July 2022.

  17. J. Zhu, F. Chen, J. Chen, H. Chen, and C. H. T. Lee (2022). “Performance improvement of surface permanent magnet vernier motor by adjusting current control angle considering magnetic saturation.” 2022 IEEE Transportation Electrification Conference & Expo (ITEC): IEEE, Anaheim, CA, USA, June 2022.

  18. H. Cheng, J. T. Zhou, W. P. Tay, and B. Wen, “Attentive graph neural networks for few-shot learning,” in Proc. Int. Conf. on Multimedia Information Processing and Retrieval, virtual, Aug. 2022.

  19. Richard Capraru, Matthew Ritchie, Jiangang Wang, Boon Hee Soong, "Exploring Deep Transfer Learning Interference classification on Neural Style Transfer Generated Synthetic SAR Datasets", IEEE VTS Asia Pacific Wireless Communications Symposium, Seoul, Korea, Aug 24-26 2022.

  20. Q. Kang, R. She, S. Wang, W. P. Tay, N. D. Navarro, R. Khurana, and A. Hartmannsgruber, “Location learning for AVs: LiDAR and image landmarks fusion localization with graph neural networks,” in Proc. IEEE International Conference on Intelligent Transportation Systems, Macau, China, Oct. 2022.

  21. Chen Cai, Kim-Hui Yap, Suchen Wang, “Attribute Conditioned Fashion Image Captioning,” accepted for publication in IEEE International Conference on Image Processing (ICIP), Bordeaux, France, Oct 2022.

  22. Yasin Yazici, Bruno Lecouat, Kim Hui Yap, Stefan Winkler, Georgios Piliouras, Vijay Chandrasekhar, Chuan Sheng Foo, “Mixed Membership Generative Adversarial Networks,” accepted for publication in IEEE International Conference on Image Processing (ICIP), Bordeaux, France, Oct 2022.

  23. Yeqi Bai, Tao Ma, Lipo Wang, Zhenjie Zhang, “Speech Fusion to Face: Bridging the Gap Between Human's Vocal Characteristics and Facial Imaging,” ACM International Conference on Multimedia (MM), 2022.

  24. Ruilin Li, Jian Cui, Ruobin Gao, P. N. Suganthan, Olga Sourina, Lipo Wang, Chun-Hsien Chen, "Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study", 2022 International Conference on Cyberworlds (CW2022), pp.201-208, 2022.

  25. Shyer Bin Tan and Lipo Wang, "A Novel Variational-Mode-Decomposition-Based Long Short-Term Memory for Foreign Exchange Prediction," 2022 18th International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery (ICNC-FSKD 2022), Online, 2022.

  26. W. Luo, Y. H. Lee, L. F. Ow, M. L. M. Yusof, and A. C. Yucel, “Slice-connection clustering algorithm for tree roots recognition in noisy 3D GPR data,” in Proc IEEE Int. Symp. Antennas Propagat., Denver, CO, 2022.

  27. Q. Dai, Y. H. Lee, G. Ow, M. L. M. Yusof, and A. C. Yucel, “S2M-Net: A deep learning-based scheme for GPR image translation from simulation to measurement via a conditional generative adversarial network,” in Proc CNC-USNC/URSI National Radio Sci. Meet., Denver, CO, 2022.

  28. J. Qian, Y. H. Lee, Q. Dai, K. Cheng, L. He, D. Lee, and A. C. Yucel, “Rapid health assessment of trees via deep learning-augmented radar,” in Proc CNC-USNC/URSI National Radio Sci. Meet., Denver, CO, 2022.

  1. KT Chandrasekaran, A Alphones, MF Karim and Nasimuddin, “Compact SIW based Wideband Phase Shifter Loaded with Square Complimentary Omega (SCO) Array”, 2020 European Microwave Conference, Netherlands, Jan 2021. 

  2. Heng Zhao, Kim Hui Yap, Alex C. Kot, "Fusion Learning using Semantics and Graph Convolutional Network for Visual Food Recognition" Workshop on Applications in Computer Vision (WACV) 2021, USA, Hawaii, 5-9 Jan 2021.

  3. C. Liu, H. Ding, X. Jiang, “Towards Enhancing Fine-grained Details for Image Matting,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV’21), Jan 2021.

  4. Y. Song, Q. Kang, and W. P. Tay, “Error-correcting output codes with ensemble diversity for robust learning in neural networks,” in Proc. AAAI Conference on Artificial Intelligence, Feb 2021.

  5. Peijun Bao, Qian Zheng, Yadong Mu, "Dense Events Grounding in Video" 35th AAAI Conference on Artificial Intelligence (AAAI), 2 - 9 Feb 2021, Virtual Conference.

  6. Long Yang, Qian Zheng, Gang Pan, "Sample Complexity of Policy Gradient Finding Second-Order Stationary Points" 35th AAAI Conference on Artificial Intelligence (AAAI), 2 - 9 Feb 2021, Virtual Conference.

  7. Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan, "On Convergence of Gradient Expected Sarsa(?)" 35th AAAI Conference on Artificial Intelligence (AAAI), 2 - 9 Feb 2021, Virtual Conference.

  8. C. Jin, I. Bajaj, K. Zhao, W. P. Tay, and K. V. Ling, “5G positioning using code-phase timing recovery,” in Proc. IEEE Wireless Commun. and Networking Conf., Nanjing, China, Mar 2021.

  9. Y. Song, I. Bajaj, R. Rabiee, and W. P. Tay, “Anchor-free multi-level self-localization in ad-hoc networks,” in Proc. IEEE Wireless Commun. and Networking Conf., Nanjing, China, Mar 2021.

  10.  Q. Zheng, B. Shi, J. Chen, X. Jiang, L. Duan, A. Kot, “Single Image Reflection Removal with Absorption Effect,” IEEE Conference on Computer Vision and Pattern Recognition, (CVPR’21), Jun 2021.

  11. Y. Hong, Q. Zheng, L. Zhao, X. Jiang, A. Kot, B. Shi, “Panoramic Image Reflection Removal,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21), Jun 2021.

  12. H. Li, X. Jiang, B. Guan, N.Thalmann, “Efficient Sketch Recognition via Compact Spatial Embedding Graph Neural Networks,” IEEE Int. Conf. Multimedia and Expo (ICME), Jul 2021.

  13. H. Zhao, K.-H. Yap, and A. Kot “A Compact Joint Distillation Network for Visual Food Recognition,” accepted by IEEE Int. Conf. Acoustic, Speech, and Signal Processing, (ICASSP), Canada, 2021.

  14. H. Zhao, K.-H. Yap, and A. Kot “Fusion Learning Using Semantics and Graph Convolutional Network for Visual Food Recognition,” accepted by IEEE Winter Conference on Applications of Computer Vision (WACV), 2021.

  15. S. Kavaiya, D. K. Patel, Y. L. Guan, S. Sun, Y. C. Chang and J. M. -Y. Lim, "Distributed Spectrum Sensing for Cognitive Vehicular Networks using Quasi-Newton Optimization," 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), Bangalore, India, 2021, pp. 212-215, https://doi.org/10.1109/COMSNETS51098.2021.9352936

  16. Xinghua Liu, Xiaoyue Zhang, Fanghong Guo, and Gaoxi Xiao, “Distributed Fixed-Time Secondary Frequency Control of MTDC systems,” Proc. ICIEA’2021, August 2021, Chengdu, China.

  17. S. Wang, K-H. Yap, J. Yuan, Y.-P. Tan “Discovering Human Interactions with Large-Vocabulary Objects via Query and Multi-Scale Detection,” accepted by International Conference on Computer Vision (ICCV), 2021.

  18. C.-P. Tay and K.-H. Yap “APNet: Attribute Parsing Network for Person Re-Identification,” accepted by IEEE International Conference on Image Processing (ICIP), Anchorage, 2021.

  19. C. Qian and A. C. Yucel, "Tucker-FMM-FFT-accelerated SIE solver for large-scale electromagnetic analysis," in Proc. Int. App. Comp. Electromagnetics Soc. (ACES) Symp., August 2021.

  20. S. B. Sayed, Y. Liu, L. J. Gomez, and A. C. Yucel, "A butterfly-accelerated volume integral equation solver for large-scale electromagnetic analysis," in Proc. Int. App. Comp. Electromagnetics Soc. (ACES) Symp., August 2021.

  21. D. Wang, M. Dannhauer, A. C. Yucel, and L. J. Gomez, "Adaptive cross approximation for E-field-guided non-invasive magnetic brain stimulation," in Proc. Int. App. Comp. Electromagnetics Soc. (ACES) Symp., August 2021.

  22. Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen, "Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration," 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 6 - 11 Jun 2021, Canada, Toronto.

  23. Zehao Chen, Qian Zheng, Peisong Niu, Huajin Tang, Gang Pan, "Indoor Lighting Estimation using an Event Camera," 2021 Conference on Computer Vision and Pattern Recognition (CVPR), 19 - 25 Jun 2021, Virtual Conference.

  24. Meng Pang, Binghui Wang, Mang Ye, Yiran Chen, Bihan Wen, "Disentangling Prototype and Variation for Single Sample Face Recognition," 2021 IEEE International Conference on Multimedia & Expo (ICME), 5 - 9 Jul 2021, China, Shenzhen.

  25. Siyuan Yang, Jun Liu, Shijian Lu, Er Meng Hwa, Alex C. Kot, "Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning," 2021 IEEE International Conference on Computer Vision (ICCV), 11-17 Oct 2021, Virtual Conference.

  26. H. Zhuang, Z. Weng, F. Luo, K.-A. Toh, H. Li, Z. Lin, "Mitigating Gradient Staleness in Decoupled Learning for Classification Tasks," Proceedings of 38th International Conference on Machine Learning (ICML), Virtual Only, pp.12935–12944, July, 2021.

  27. Jiawei Peng, Ruihua Gao, Steven Thng, Weimin Huang, Zhiping Lin, "Classification of Non-Tumorous Facial Pigmentation Disorders Using Generative Adversarial Networks and Improved SMOTE", the 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (EMBC 2021) at the Virtual Conference, on Oct 31 - Nov 4, 2021.

  28. Ziqing Wan, Weimin Huang, Su Huang, Zhongkang Lu, Liang Zhong, Zhiping Lin, "Coronary Artery Extraction from CT Coronary Angiography with Augmentation on Partially Labelled Data," the 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (EMBC 2021) at the Virtual Conference, on Oct 31 - Nov 4, 2021.

  29. Ruihan Gao, Tian Tian, Zhiping Lin, Yan Wu, "On Explainability and Sensor-Adaptability of a Robot Tactile Texture Representation Using a Two-Stage Recurrent Networks," in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), (Prague, Czech Republic), IEEE, Sept., 2021.

  30. H. Zhuang, Z. Lin and K-A Toh, "Training Multilayer Neural Networks Analytically Using Kernel Projection", in the 2021 IEEE International Symposium on Circuits & Systems, Daegu, Korea, May, 2021.

  31. Ziwang Luo, David B. H. Tay, Xiaoping Lai, Zhiping Lin, “Design of Orthogonal Wavelet Filters with Minimum RMS Bandwidth Using A Symbolic Approach,” in the 2021 IEEE International Symposium on Circuits & Systems, Daegu, Korea, May, 2021.

  32. Hao Su; Jie Yang; Lei Sun; Zhiping Lin, “A Solver of Fukunaga Koontz Transformation without Matrix Decomposition,” in the 2021 IEEE International Symposium on Circuits & Systems, Daegu, Korea, May, 2021.

  33. Juncheng Chen, Jun-Sheng Ng, Nay Aung Kyaw, Ne Kyaw Zwa Lwin, Weng-Geng Ho, Kwen-Siong Chong, Zhiping Lin, Joseph Sylvester Chang, Bah-Hwee Gwee, “Normalized Differential Power Analysis - For Ghost Peaks Mitigation,” in the 2021 IEEE International Symposium on Circuits & Systems, Daegu, Korea, May, 2021.

  34. S. H. Lee, F. Ji, and W. P. Tay, “Learning on heterogeneous graphs using high-order relations,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Toronto, Canada, Jun. 2021. [arXiv]

  35. F. Ji and W. P. Tay, “Signal processing with a distribution of graph operators,” in Proc. IEEE Workshop on Statistical Signal Processing, Rio de Janeiro, Brazil, Jul. 2021.

  36. Zhang, Rongkai, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, and Bihan Wen, "R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery", IEEE International Conference on Image Processing (ICIP), pp. 1624-1628, 2021. https://ieeexplore.ieee.org/abstract/document/9506323

  37. Guo, Lanqing, Renjie Wan, Guan-Ming Su, Alex C. Kot, and Bihan Wen, "Multi-Scale Feature Guided Low-Light Image Enhancement" IEEE International Conference on Image Processing (ICIP), pp. 554-558, 2021. https://ieeexplore.ieee.org/abstract/document/9506785

  38. Huang, Ling, Deruo Cheng, Xulei Yang, Tong Lin, Yiqiong Shi, Kaiyi Yang, Bah Hwee Gwee, and Bihan Wen, "Joint Anomaly Detection and Inpainting for Microscopy Images Via Deep Self-Supervised Learning", IEEE International Conference on Image Processing (ICIP), pp. 3497-3501, 2021. https://ieeexplore.ieee.org/abstract/document/9506454

  39. Zha, Zhiyuan, Bihan Wen, Xin Yuan, Jiantao Zhou, and Ce Zhu, "Low-Rank Regularized Joint Sparsity for Image Denoising", IEEE International Conference on Image Processing (ICIP), pp. 1644-1648, 2021. https://ieeexplore.ieee.org/abstract/document/9506726

  40. Liang, Shijun, Berk Iskender, Bihan Wen, and Saiprasad Ravishankar, "Labmat: Learned Feature-Domain Block Matching For Image Restoration", IEEE International Conference on Image Processing (ICIP), pp. 1689-1693, 2021. https://ieeexplore.ieee.org/abstract/document/9506629

  41. Tan, Way, Bihan Wen, Cen Chen, Zeng Zeng, and Xulei Yang, "Systematic Analysis of Circular Artifacts for Stylegan", IEEE International Conference on Image Processing (ICIP), pp. 3902-3906, 2021. https://ieeexplore.ieee.org/abstract/document/9506279

  42. Zhang, Rongkai, Lanqing Guo, Siyu Huang, and Bihan Wen, "Rellie: Deep reinforcement learning for customized low-light image enhancement", Proceedings of the 29th ACM International Conference on Multimedia, pp. 2429-2437, 2021. https://dl.acm.org/doi/abs/10.1145/3474085.3475410?casa_token=_a2yqwSxL7MAAAAA:2IySDDif_pPzQDX4k9mCrieB2y9X6G_MR8iOW2AGNbwEVWixpVsDjMmvw_WWKGuYq3ijd6krp-GUopk

  43. F. Shen, Y. Yan, S. Ramakrishna, C. J. Gajanayake, S. Wang, and C. H. T. Lee (2021). “Analysis of vernier machine with stator-V-shaped permanent-magnet arrangement.” IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society: IEEE, Toronto, ON, Canada, October 2021.

  44. Y. He, H. Chen, and C. H. T. Lee (2021). “Design of a decoupled double-stator flux-switching permanent-magnet rotary-linear motor with two degree-of-freedom motion.” IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society: IEEE, Toronto, ON, Canada, October 2021.

  45. S. Xie, H. Chen, L. Cao, Y. Zuo, X. Yuan, B. S. Han, C. C. Hoang, and C. H. T. Lee (2021). “Harmonic reduction for two-slot pitch winding permanent magnet vernier machines with stator shifting technique.” IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society: IEEE, Toronto, ON, Canada, October 2021.

  46. Y. Yan, F. Shen, S. Ramakrishna, C. J. Gajanayake, and C. H. T. Lee (2021). “A novel fault tolerant flux switching memory machine with highly flux controllability.” IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society: IEEE, Toronto, ON, Canada, October 2021.

  47. X. Yuan, J. Chen, Y. Zuo, and C. H. T. Lee (2021), “Deadbeat predictive current control considering inverter nonlinearity for permanent magnet synchronous machine drives.” 2021 IEEE Energy Conversion Congress and Exposition (ECCE): IEEE, Vancouver, BC, Canada, October 2021.

  48. Y. Zuo, J. Zhu, X. Yuan, and C. H. T. Lee, “Two-degree-of-freedom quasi-PIR controller for smooth speed control of permanent magnet vernier machine.” 2021 IEEE Energy Conversion Congress and Exposition (ECCE): IEEE, Vancouver, BC, Canada, October 2021.

  49. Q. Kang, Y. Song, Q. Ding, and W. P. Tay, “Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks,” in Proc. Conference on Neural Information Processing Systems (NeurIPS), virtual, Dec. 2021. [arXiv]

  50. Divya Krishnan, N Nasimuddin and A Alphones, ”Wideband Star-shaped mmWave Planar Array Antenna with Liquid Crystal” IEEE AP-S/URSI Symp, Singapore, Dec. 2021.

  51. M. P Mohan, A Alphones, L Zhao, J. Jimeno, M. Y. Siyal, MF Karim, “Design of stub loaded transmission line matching circuit for series fed patch array”, IEEE AP-S/URSI Symp, Singapore, Dec. 2021.

  52. E. L. Tan, “Fundamental Leapfrog ADI and CDI FDTD Methods,” 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Singapore, 4-10 December 2021, pp. 643-644.

  53. E. L. Tan, “Mobile Apps, Online Assessments and Examination for Electromagnetics Education,” 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Singapore, 4-10 December 2021, pp. 1473-1474.

  54. S. Liu, E. L. Tan and B. Zou, “Multi-GPU based Leapfrog CDI-FDTD Method for Large-Scale Electromagnetic Problems,” 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Singapore, 4-10 December 2021, pp. 1545-1546.

  55. D. Y. Heh, E. L. Tan and E. K. Poh, “A Simple Gaussian Model for Ionospheric Scintillation in Singapore,” 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Singapore, 4-10 December 2021, pp. 661-662.

  56. Jian Cui, Tianhu Zheng, Yisi Liu, Olga Sourina, Lipo Wang, Wolfgang Müller-Wittig, "Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model," 2021 International Conference on Cyberworlds (CW2021), pp.201-208, 2021.

  57. Ning Xu, Hoay Beng Gooi, Lipo Wang, Yuanjin Zheng, Jiawei Yang, "Partial Discharge Detection Based on Long Short-Term Memory Neural Network Classifier with Efficient Feature Extraction Methods," 2021 IEEE 12th Energy Conversion Congress & Exposition-Asia (ECCE-Asia), pp.2328-2333, 2021.

  58. Yuan Liqiang, Marius Erdt, Wang Lipo, "Adaptive Transfer Learning To Enhance Domain Transfer In Brain Tumor Segmentation", IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021.

  59. Q. Dai, Y. H. Lee, H. H. Sun, G. Ow, M. L. M. Yusof, and A. C. Yucel, “A deep learning scheme for rapidly reconstructing 3D permittivity maps from GPR C-scans,” in Proc IEEE Int. Symp. Antennas Propagat., Singapore, 2021.

  60. Q. Dai, Y. H. Lee, H. H. Sun, G. Ow, M. L. M. Yusof, A. C. Yucel, “A two-stage deep neural network for ground-penetrating radar data inversion under heterogeneous soil conditions,” in Proc CNC-USNC/URSI National Radio Sci. Meet., Singapore, 2021.

  61. H. H. Sun, Y. H. Lee, G. Ow, M. L. M. Yusof, and A. C. Yucel, “Elongated object orientation estimation based on deep neural networks,” in Proc IEEE Int. Symp. Antennas Propagat., Singapore, 2021.

  62. Q. Dai, Y. H. Lee, G. Ow, M. L. M. Yusof, and A. C. Yucel, “A fast 2D GPR forward solver for convex objects based on a deep learning technique,” in Proc CNC-USNC/URSI National Radio Sci. Meet., Singapore, 2021.

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  2. DY Shi, W.S. Gan, “Multichannel Active Noise Control with Spatial Derivative Constraints to Enlarge the quiet zone,” International Conference on Acoustic, Speech and Signal Processing (ICASSP 2020), 3-8 May 2019, Barcelona, Spain. 

  3. SL Wen, W.S. Gan, “An Improved Selective Active Noise Control Algoruthm based on Empirical Wavelet Transform” International Conference on Acoustic, Speech and Signal Processing (ICASSP 2020), 3-8 May 2019, Barcelona, Spain.​

  4. TN Tho, W.S. Gan, “A Sequence Matching Network for Polyphonic Sound Event Localization and Detection” International Conference on Acoustic, Speech and Signal Processing (ICASSP 2020), 3-8 May 2019, Barcelona, Spain.​

  5. Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Ce Zhu, Bihan Wen, 2020, "A Hybrid Structural Sparse Error Model for Image Deblocking," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 2493-2497. URL: https://ieeexplore.ieee.org/abstract/document/9053968

  6. T. S. Lau and W. P. Tay, “Privacy-aware quickest change detection,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Barcelona, Spain, May 2020.

  7. F. Ji, J. Yang, Q. Zhang, and W. P. Tay, “GFCN : A new graph convolutional network based on parallel flows,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Barcelona, Spain, May 2020.

  8. D. Manandhar, M. Bastan, and K.-H. Yap, “Dynamically Modulated Metric Learning for Visual Search,” accepted for publication in Proc. IEEE Int. Conf. Acoustic, Speech, and Signal Processing (ICASSP), 2020.

  9. Chao Zhai, Hung D. Nguyen, and Gaoxi Xiao, “A Robust Optimization Approach for Protecting Power Systems against Cascading Blackouts,” Proc. PSCC’2020.

  10. C. H. T. Lee, K. K. Bhalla, J. Mei, L. V. Iyer, and J. L. Kirtley, “Performance comparisons of Vernier permanent-magnet motor and flux-switching permanent-magnet motor for electric vehicles,” Proceedings of The 19th Biennial IEEE Conference on Electromagnetic Field Computation (CEFC 2020), Pisa, Italy, Paper No. 468, April 2020.​

  11. Muhammad Faiz Norazmi, Yee Hui Lee and Shilpa Manandhar, "Investigating the Impact of Spatial Location of RSU in Trilateration Network", IEEE International Symposium on Antennas and Propagation (IEEE APS/URSI), 2020.

  12. Ying Zuobin, Cao Shuanglong, Zhou Peng, Zhang Shun, Liu Ximeng, "Lightweight Outsourced Privacy-Preserving Heart Failure Prediction Based on GRU", International Conference on Algorithms and Architectures for Parallel Processing(ICA3PP), 2020.

  13. Ying Zuobin, Jiang Wenjie, Liu Ximeng, Ma Maode, "Privacy-Preserving Fine-Grained Outsourcing PHR with Efficient Policy Updating", International Conference on Algorithms and Architectures for Parallel Processing(ICA3PP), 2020.

  14. Zuobin Ying, Wenjie Jiang, Ximeng Liu, Shengmin Xu, "Implementing Security-Enhanced PHR System in the Cloud Using FAME", IEEE GLOBECOM, 2020.

  15. E. L. Tan and D. Y. Heh, “Demonstration of Electromagnetic Plane Wave Reflection and Transmission on iPad,” 2020 IEEE International Conference on Computational Electromagnetics, Singapore, 24-26 Aug 2020. https://doi.org/10.1109/ICCEM47450.2020.9219420

  16. D. Y. Heh, E. L. Tan and E. K. Poh, "A Simple Gaussian Model for Ionospheric Scintillation in Singapore", 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, 2020.

  17. Weihua Tan, Xiaoyong Shan, Zhongxiang Shen, "A Compact Circularly Polarized Ultra-Wideband Antenna  with Shared Sector-Shaped Patches", International Conference on Electromagnetics in Advanced Applications (ICEAA), 2020.

  18. Liping Huang, Xuetong Niu, Gaoxi Xiao, "Modeling the Hotspot Dynamics of Dengue in Urban Environments", HUSO, 2020.

  19. Huang Hao, Weihua Tan, Zhongxiang Shen, "Integrated Antenna-Radome Structures", MIKON-2020 Conference, 2020.

  20. C. X. Wang, W. P. Tay, and Y. Song, “Maximum privacy under perfect utility in sensor networks,” in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop, Hangzhou, China, Jun. 2020

  21. Shilpa Manandhar, Yee Hui Lee and Yu Song Meng, "Importance of Hydrostatic Delay Models in Deriving PWV from GPS Signal Delays", IEEE International Symposium on Antennas and Propagation (IEEE APS/URSI), 2020.

  22. Mayank Jain, Shilpa Manandhar, Yee Hui Lee, Stefan Winkler, Soumyabrata Dev, "Forecasting Precipitable Water Vapor Using LSTMs", IEEE International Symposium on Antennas and Propagation (IEEE APS/URSI), 2020.

  23. Anik Naha Biswas, Yee Hui Lee and Shilpa Manandhar, "Analysis of GPS Gradient Parameters for Rainfall Prediction", IEEE International Symposium on Antennas and Propagation (IEEE APS/URSI), 2020.

  24. A. Ozhelvaci and Maode Ma, "A Group Authentication Scheme with Privacy-preserving for D2D Communications in 5G HetNets," Proc-The 2nd International Electronics Communication Conference 2020, IECC 2020, Singapore, July 2020.

  25. M. C. Chow and Maode Ma, "A Lightweight D2D Authentication Scheme against Free-riding Attacks in 5G Cellular Network, " Proc-The 2nd International Electronics Communication Conference 2020, IECC 2020, Singapore, July 2020.

  26. W. Hu, X. Cai, J. Hou, S. Yi, and Z. Lin, “GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition,” in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, USA, Feb 2020.

  27. C. Jin, I. Bajaj, K. Zhao, W. P. Tay, and K. V. Ling, “5G positioning using code-phase timing recovery,” in Proc. IEEE Wireless Commun. and Networking Conf., Nanjing, China, Mar 2021.

  28. Yufei Wang, Haoliang Li, Alex C. Kot, "Heterogeneous Domain Generalization via Domain Mixup" 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4-8 May 2020, Spain, Barcelona, 10.1109/ICASSP40776.2020.9053273

  29. Zhi Li, Haoliang Li, Kwok-Yan Lam, Alex C. Kot, "Unseen Face Presentation Attack Detection with Hypersphere Loss" 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4-8 May 2020, Spain, Barcelona, 10.1109/ICASSP40776.2020.9054420

  30. J Mei, H Ding, X Jiang, “Object 6D pose estimation with non-local attention,” SPIE Int. Conf. Digital Image Processing (ICDIP), May 2020.

  31. H. Zhang, L. Wan, M. Gu, X. Jiang, J. Thompson, etc., “Efficient Nonlinear Activation Function in Optical Neural Network,” Conference on Lasers and Electro-Optics, Optical Society of America, May 2020.

  32. H. Wang, K. T. Chau, C. H. T. Lee, and T. W. Ching, “Integration of wireless power transfer into motor technology – Wireless motors,” Proceedings of The International Conference on Electrical Engineering 2020 (ICEE 2020), Takamatsu, Japan, Paper No. 468, Jun 2020.

  33. C. Wang, W. P. Tay, Y. Wei, and Y. Wang, “Resilient multitask distributed adaptation over networks with noisy exchanges,” in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop, Hangzhou, China, Jun 2020.

  34. H Yang, A Alphones, WD Zhong, C Chen, P Du and S Zhang, “QoS-Driven Optimized Design in A New Integrated Visible Light Communication and Positioning System”, Intl Conf on Communications (ICC 2020), Ireland, June 2020.

  35. Qian Zheng, Jinnan Chen, Zhan Lu, Boxin Shi, Xudong Jiang, Kim-Hui Yap, Ling-Yu Duan, Alex C. Kot, "What does plate glass reveal about camera alibration" 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), USA, Seattle, 14-19 Jun 2020.

  36. Renjie Wan, Boxin Shi, Haoliang Li, Lingyu Duan, Alex C. Kot, "Reflection Scene Separation From a Single Image" 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), USA, Seattle, 14-19 Jun 2020.

  37. Zhonghua Wu, Qingyi Tao, Guosheng Lin, Jianfei Cai, "Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection" 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), USA, Seattle, 14-19 June 2020.

  38. Styles, O., Guha, T, Sanchez, V., Alex C. Kot, "Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras" 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Precognition, 14-19 Jun 2020, USA, Seattle, 14-19 Jun 2020.

  39.  Q. Zheng, J. Chen, Z. Lu, B. Shi, X. Jiang, K. Yap, L. Duan, A. Kot, “What does Plate Glass Reveal about Camera Calibration?,” IEEE Conference on Computer Vision and Pattern Recognition, (CVPR’20), Jun 2020.

  40. Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu, 2020, "Reconciliation Of Group Sparsity And Low-Rank Models For Image Restoration," IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6. URL: https://ieeexplore.ieee.org/abstract/document/9102930

  41. L. Huang, Y.L. Lu, "Comparative Study of Surface Cancellation Methods for Ground Penetrating Radar Imaging," 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, Montreal, QC, Canada, 5-10 July 2020. https://ieeexplore.ieee.org/abstract/document/9329598

  42. Qiqi Dai, Bihan Wen, Yee Hui Lee, Abdulkadir C Yucel, Genevieve Ow, Mohamed Lokman Mohd Yusof, "A Deep Learning-Based Methodology for Rapidly Detecting the Defects inside Tree Trunks via GPR," 2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium), pp. 139-140. URL: https://ieeexplore.ieee.org/abstract/document/9321692/authors#authors

  43. Divya Krishnan and A Alphones, “Liquid Crystal Material based Electronically Beam Steering Antenna at Ka band for 5G Applications”, IEEE AP-S/URSI Symp, USA, Jul 2020 

  44. J. Chen, L.P. Chau, and J. Hou, "Surface Consistent Light Field Extrapolation Over Stratified Disparity And Spatial Granularities", IEEE International Conference on Multimedia & Expo, ICME2020, London, UK, Jul 2020.

  45. Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu, "Reconciliation of group sparsity and low-rank models for image restoration" 2020 IEEE International Conference on Multimedia & Expo (ICME), UK, London, 6-10 Jul 2020.

  46. M. Hu, K. Sim, J. Zhou, X. Jiang, C. Guan, “Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls,” 42nd Annual Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBC'20), Jul 2020.

  47. Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan and Dejing Dou, 2020, "Generating Person Images with Appearance-aware Pose Stylizer." In 29th International Joint Conference on Artificial Intelligence, pp. 623-629. URL: https://www.ijcai.org/Proceedings/2020/0087.pdf

  48. X.Y. Mao, Y.L. Lu, X. Xiao (2020), "Land-cover Classification Based on SAR Data Using Superpixel and Cosine Similarity," 2020 IEEE International Conference on Computational Electromagnetics, Singapore, 24-26 Aug 2020.  https://ieeexplore.ieee.org/document/9219535

  49. M. Guo, J. Hou, J. Jin, J. Chen, and L.P. Chau, “Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures”, European Conference on Computer Vision, ECCV 2020, Online, 23-28 Aug 2020.

  50. Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C Kot, "Collaborative Learning of Gesture Recognition and 3D Hand Post Estimation with Multi-Order Feature Analysis" 2020 The European Conference on Computer Vision (ECCV 2020), 23 - 28 Aug 2020, Online.

  51. Tianyi Zhang, Guosheng Lin, Jianfei Cai, Alex C. Kot, "Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation" 2020 The European Conference on Computer Vision (ECCV 2020), 23 - 28 Aug 2020, Online.

  52. B Lam, YX Tan, Joey Heng, JY Hong, ZT Ong, W.S.Gan, “Virtual, augmented and mixed reality tools in soundscape evaluation and design,” International Congress and Exhibition on Noise Control Engineering 2020, 23-26 Aug 2020, Seoul, Korea.

  53. K Ooi, JY Hong, B Lam, ZT Ong, W.S.Gan, “A deep learning approach for modelling perceptual attributes of soundscapes,” International Congress and Exhibition on Noise Control Engineering 2020, 23-26 Aug 2020, Seoul, Korea. 

  54. H. Ding, S. Cohen, B. Price, X. Jiang, “PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click,” European Conference on Computer Vision (ECCV’20 Spotlights), Aug 2020.

  55. J. Weng, D. Luo, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang, X. Jiang, J. Yuan, “Temporal Distinct Representation Learning for Action Recognition,” European Conference on Computer Vision (ECCV’20), Aug 2020.

  56. Huang, H., Zeng, H., Tian, Y., Chen, J., Zhu, J., & Ma, K. K. (2020). Light Field Image Quality Assessment: An Overview. 2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). Published. https://doi.org/10.1109/mipr49039.2020.00077

  57. Zhiyuan Zha, Xin Yuan, Joey Tianyi Zhou, Jiantao Zhou, Bihan Wen and Ce Zhu, 2020, "The Power Of Triply Complementary Priors For Image Compressive Sensing," 2020 IEEE International Conference on Image Processing (ICIP) , pp. 983-987. URL: https://ieeexplore.ieee.org/abstract/document/9190707

  58. Hao Cheng and Bihan Wen, 2020, "Joint Statistical and Spatial Sparse Representation for Robust Image and Image-Set Classification," 2020 IEEE International Conference on Image Processing (ICIP), pp. 2411-2415. URL: https://ieeexplore.ieee.org/abstract/document/9191248

  59. Xulei Yang, Xin Zhao, Gabriel Tjio, Cen Chen, Li Wang, Bihan Wen and Yi Su, 2020, "Opencc – an open Benchmark data set for Corpus Callosum Segmentation and Evaluation," 2020 IEEE International Conference on Image Processing (ICIP), pp. 3020-3024. URL: https://ieeexplore.ieee.org/abstract/document/9191097

  60. Su, R., Zhong, B., Ji, J., & Ma, K. K. (2020). Single Image Super-Resolution Via A Progressive Mixture Model. 2020 IEEE International Conference on Image Processing (ICIP). Published. https://doi.org/10.1109/icip40778.2020.9190772

  61. Xinghua Liu, Xiaoyue Zhang, Fanghong Guo, Gaoxi Xiao, Peng Wang, “Decentralized Secondary Frequency Restoration and Power Sharing Control for MTDC Transmission Systems,” Proc. IECON’2020, Oct. 2020. 

  62. Y.L. Lu, Y. Lang (2020), "Sign Language Recognition with CW Radar and Machine Learning,"  2020 21st International Radar Symposium, Warsaw, Poland, 5-8 Oct 2020. https://ieeexplore.ieee.org/document/9253925

  63. X.F. Xu, Y.L. Lu, and B. Zou (2020), "Building Extraction From PolSAR Image Based on Deep CNN with Polarimetric Features," 2020 21st International Radar Symposium, Warsaw, Poland, 5-8 Oct 2020. https://ieeexplore.ieee.org/document/9253912

  64. J. Chen, C.H. Tan and L.P. Chau, "Haze Removal with Fusion of Local and NON-Local Statistics", IEEE International Symposium on Circuits and Systems, ISCAS 2020, Seville, Spain, Oct 2020.

  65. Jiashu Liao, Alex C. Kot, Tanaya Guha, Victor Sanchez, "Attention Selective Network for Face Synthesis and Pose-Invariant Face Recognition" The 27th IEEE International Conference on Image Processing (ICIP 2020), 25-28 Oct 2020, United Arab Emirates (UAE), Abu Dhabi.

  66. Zhuo Chen, Ling-Yu Duan, Shiqi Wang, Weisi Lin, Alex C. Kot, "Data Representation in Hybrid Coding Framework for Feature Maps Compression" The 27th IEEE International Conference on Image Processing (ICIP 2020), 25-28 Oct 2020, United Arab Emirates (UAE), Abu Dhabi.

  67. Zhiyuan Zha, Xin Yuan, Joey Tianyi Zhou, Jiantao Zhou, Bihan Wen, Ce Zhu, "The power of triply complementary priors for image compressive sensing" The 27th IEEE International Conference on Image Processing (ICIP 2020), 25-28 Oct 2020, United Arab Emirates (UAE), Abu Dhabi.

  68. Y . Liu, M. Tian, J. Hou, S. Yi and Z. Lin, "Pentadent-Net: Pedestrian Attribute Recognition With Distance Refinement And Correlation Mining," 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, Oct. 2020.

  69. Chenhui Luan, Ruyao Cui, Lei Sun, Zhiping Lin, “A Siamese Network Utilizing Image Structural Differences for Cross-Category Defect Detection", 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, Oct. 2020.

  70. Juan Wang, Hehong Zhang, Gaoxi Xiao, Zhihong Dan, Song Zhang, and Yunde Xie, “A Comparison Study of Tracking Differentiator and Robust Exact Differentiator,” Proceedings of the China Automation Congress, Nov. 2020, Shanghai, China.

  71. K. Ooi, S. Peksi, and W.S. Gan, "Ensemble of Pruned Low-Complexity Models for Acoustic Scene Classification," Proceedings of the 5th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2020), Nov. 2020, Tokyo, Japan.

  72. Y. Yazici, C.-S. Foo, S. Winkler, K.-H. Yap, V. Chandrasekhar, “An Empirical Analysis of Overfitting and Mode Drop in GAN Training,” accepted for publication in IEEE International Conference on Image Processing (ICIP), 2020.

  73. S. Wang, K-H. Yap, J. Yuan, Y.-P. Tan “Discovering Human Interactions with Novel Objects via Zero-Shot Learning,” accepted for publication in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  74. J. Wei, G. Lin, K.-H. Yap, T.-Y. Hung, L. Xie “Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds,” accepted for publication in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  75. Q. Zheng, J. Chen, Z. Lu, B. Shi, X. Jiang, K.-H. Yap, L. Duan, A. Kot “What does Plate Glass Reveal about Camera Calibration?” accepted for publication in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  76. D. Manandhar, M. Bastan, and K.-H. Yap, “Dynamically Modulated Metric Learning for Visual Search,” accepted for publication in Proc. IEEE Int. Conf. Acoustic, Speech, and Signal Processing (ICASSP), 2020.

  77. C. X. Wang and W. P. Tay, “Data-driven privacy with domain regularization,” in Proc. IEEE Global Telecomm. Conf., Taipei, Taiwan, Dec 2020.

  78. Divya Rajagopal, N Nasimuddin and A Alphones, “A Clover Shaped Circularly Polarized Antenna for Satellite Systems”, Asia Pacific Microwave Conf., Hongkong, Dec 2020.

  79. Piotr Duda, L. P. Wang, "On a streaming approach for training denoising auto-encoders," 19th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2020), Zakopane, POLAND, Lecture Notes in Computer Science, 2020.

  80. Alakh Aggarwal, Rishika Rathore, Pratik Chattopadhyay and L. P. Wang, “EPD-Net: A GAN-Based Architecture for Face De-Identification from Images,” 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2020.

  81. Ruilin Li, Zirui Lan, Jian Cui, Olga Sourina and L. P. Wang, "EEG-based Recognition of Driver State Related to Situation Awareness Using Graph Convolution Networks," 2020 International Conference on Cyberworlds (CW2020).

  82. Yuting Zhu, Liyong Lin, Ruochen Tai, Rong Su, “Supervisor Synthesis for Networked Discrete Event Systems with Delays against Non-FIFO Communication Channels”, International Conference on Control, Automation, Robotics, and Vision, 1027-1032.

  83. L. Lin, Y. Zhu, R. Su, “A Topological Approach for Computing Supremal Sublanguages”, International Conference on Control, Automation, Robotics, and Vision, 1015-1019.

  84. L. Lin, R. Su, “Synthesis of Covert Actuator and Sensor Attackers as Supervisor Synthesis”, Workshop on Discrete Event Systems, 1-6.

  85. B. Brandin, R. Su, L. Lin, “Supervisory Control of Time-Interval Discrete Event Systems”, Workshop on Discrete Event Systems, 217-222.

  86. D. Liu, R. Su, “Distributed optimization for linear multi-agent systems subject to DoS attacks”, 59th IEEE Conference on Decision and Control, 2298-4503.

  87. Y. Cheng, K. H. Li, Y. Liu, and K. C. Teh, “Outage Performance of Downlink IRS-Assisted NOMA Systems,” 2020 IEEE Global Communications (GLOBECOM 2020), Taiwan, Dec. 2020, pp. 1-6.

  88. H. Zhang, L.P. Chau, D.W. Wang, "RSAN: A Retinex based Self Adaptive Stereo Matching Network for Day and Night Scenes", 16th International Conference on Control, Automation, Robotics and Vision (ICARCV), ICARCV 2020, Shenzhen, China, December 13 -15, 2020.

  89. Xin Sun, Zhenning Yang, Chi Zhang, Keck-Voon Ling, Guohao Peng, "Conditional Gaussian Distribution Learning for Open Set Recognition", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 13480-13489.

  90. Jinchao Zhou, Renjie Wan, Haoliang Li, Alex C. Kot, "The Enhancement of Underexposed Images with Blurred Reflectance" 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), 1 - 4 Dec 2020, Virtual Conference.

  91. Chenyu Yi, Haoliang Li, Renjie Wan, Alex C. Kot, "Improving Robustness of DNNs against Common Corruptions via Gaussian Adversarial Training" 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), 1 - 4 Dec 2020, Virtual Conference.

  92. Haoliang Li, Yufei Wang, Renjie Wan, Shiqi Wang, Tie-Qing Li, Alex C. Kot, "Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization" 2020 Conference on Neural Information Processing Systems (NeurIPS), 6 – 12 Dec 2020, Virtual Conference.

  93. W. Zeng, J. Cao, J. Wang, X. Lai and Z. Lin, "MAM: Mixed Attention Module with Random Disruption Augmentation for Image Classification," 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Seville, Spain, 2020, pp. 1-5, doi: 10.1109/ISCAS45731.2020.9180752.

  94. Y. Liu and Z. Lin, “Reinforced Sample Re-weighting for Pedestrian Attribute Recognition,” IEEE World Congress on Computational Intelligence (IEEE WCCI) 2020, Glasgow, UK, 2020.

  95. F. Ayaz, Z. Sheng, D. Tian, G. Y. Liang and V. Leung, "A Voting Blockchain based Message Dissemination in Vehicular Ad-Hoc Networks (VANETs)," IEEE International Conference on Communications (ICC), Dublin, Ireland, 2020, pp. 1-6, https://doi.org/10.1109/ICC40277.2020.9148823

  96. D. K. Patel, B. Soni, Y. L. Guan, S. Sun, Y. C. Chang and J. M. -Y. Lim, "Performance Analysis of Arbitrary Correlated Multiantenna Receiver for Mobile Cognitive User," GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Taipei, Taiwan, 2020, pp. 1-6, https://doi.org/10.1109/GLOBECOM42002.2020.9322312

  97. L. Deng, Y. Wang, X. Yu, M. Noor-A-Rahim, Y. L. Guan and Z. Shi, "Joint Source Channel Anytime Coding," GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Taipei, Taiwan, 2020, pp. 1-6, https://doi.org/10.1109/GLOBECOM42002.2020.9322416

  98. S. Kavaiya, D. K. Patel, Y. L. Guan, S. Sun, Y. C. Chang and J. M. -Y. Lim, "On Physical Layer Security over α - η -κ -μ Fading for Relay based Vehicular Networks," 2020 International Conference on Signal Processing and Communications (SPCOM), Bangalore, India, 2020, pp. 1-5, https://doi.org/10.1109/SPCOM50965.2020.9179522

  99. Y. Wang, M. Noor-A-Rahim, E. Gunawan, Y. L. Guan and C. Loo Poh, "Thermodynamically Stable DNA Code Design using a Similarity Significance Model," 2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, USA, 2020, pp. 786-791, https://doi.org/10.1109/ISIT44484.2020.9174468

  100. Z. Liu, P. Yang, Y. L. Guan and P. Xiao, "Cross Z-Complementary Pairs (CZCPs) for Optimal Training in Broadband Spatial Modulation Systems," 2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, USA, 2020, pp. 2926-2930, https://doi.org/10.1109/ISIT44484.2020.9173969

  101. Y. Liang, L. Li, P. Fan and Y. Guan, "Doppler Resilient Orthogonal Time-Frequency Space (OTFS) Systems Based on Index Modulation," 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, 2020, pp. 1-5, https://doi.org/10.1109/VTC2020-Spring48590.2020.9129380

  102. B. Soni, D. K. Patel, Y. L. Guan, S. Sun, Y. C. Chang and J. M. Lim, "Performance Analysis of NOMA aided Cooperative Relaying over α-η-κ-µ Fading Channels," 2020 National Conference on Communications (NCC), Kharagpur, India, 2020, pp. 1-6, https://doi.org/10.1109/NCC48643.2020.9056034

  103. C. Qian, M. Wang, and A. C. Yucel, “Tensor decompositions for memory reduction in integral equation-based electromagnetic simulators,” in Proc. IEEE Int. Conf. on Computational Electromagnetics (ICCEM), Singapore, Singapore, August 2020.

  104. C. Qian and A. C. Yucel, “On the tensor compression of far-field signatures in the fast multipole method,” in Proc CNC-USNC/URSI National Radio Sci. Meet., Montreal, CA, 2020.

  105. M. Wang, C. Qian, A. C. Yucel, E. Di Lorenzo. L. J. Gomez, Z. Chen, S. Zheng, and V. Okhmatovski, “An FFT-accelerated and Tucker-enhanced inductance extraction for voxelized superconducting structures,” in Proc IEEE Int. Symp. Antennas Propagat., Montreal, CA, 2020.

  106. S. B. Sayed, L. J. Gomez, and A. C. Yucel, “A multi-region internally combined volume surface integral equation for EM analysis of inhomogeneous negative and positive permittivity scatterers,” in Proc CNC-USNC/URSI National Radio Sci. Meet., Montreal, CA, 2020.

  107. X. Jia, S. B. Sayed, L. J. Gomez, N. Dalal, H. Lee, E. Michielssen, G. Huang, and A. C. Yucel, “Deep learning augmented inverse scattering algorithms for through-the-wall imaging,” in Proc CNC-USNC/URSI National Radio Sci. Meet., Montreal, CA, 2020.

  108. W. Luo, H. Sun, Y. H. Lee, A. C. Yucel, G. Ow, and M. L. M. Yusof, “Effects of intermediate frequency bandwidth on stepped frequency ground penetrating radar,” in Proc IEEE Int. Symp. Antennas Propagat., Montreal, CA, 2020.

  109. H. H. Sun, Y. H. Lee, A. C. Yucel, G. Ow, and M. L. M. Yusof, “Compact dual-polarized Vivaldi antenna for ground penetrating radar (GPR) application,” in Proc IEEE Int. Symp. Antennas Propagat., Montreal, CA, 2020.

  110.  X. Peng, H. Zhuang, G. -B. Huang, H. Li and Z. Lin, “Robust Real-time Face Tracking for People Wearing Face Masks,” 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV), Dec. 2020.

  111. Haochong Lan, Zhiping Lin, Xiaoping Lai, “Searching for High Accuracy Mix-Bitwidth Network Architecture,” 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV), Dec. 2020.

  112. R. Gao, T. Taunyazov, Z. Lin, and Y. Wu, “Supervised autoencoder joint learning on heterogeneous tactile sensory data: Improving material classification performance,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), (Las Vegas, USA), IEEE, Oct., 2020.

  113. Muqing Deng, Jili Li, Jiangmin Tian, Xiaoping Lai, Jiuwen Cao and Zhiping Lin, “Human Gait Recognition Using Image Entropy Vector With Extreme Learning Machines,” IEEE World Congress on Computational Intelligence (IEEE WCCI) 2020, Glasgow, UK, 2020.

  114. Weichong Ng, Guohua Wang, Siddhartha Siddhartha, Zhiping Lin and Bhaskar Jyoti Dutta, “Range-Doppler Detection in Automotive Radar with Deep Learning,” IEEE World Congress on Computational Intelligence (IEEE WCCI) 2020, Glasgow, UK, 2020.

  1. L. Yan, B. Zhong, and Kai-Kuang Ma, “Confusion-Aware Convolutional Neural Network for Image Classification,” International Conference on Neural Information Processing, 151-161, Sydney, Australia, Dec 2019.

  2. J. Ji, B. Zhong, and Kai-Kuang Ma, “Multi-Scale Defense of Adversarial Images,” IEEE International Conference on Image Processing (ICIP), 4070-4074, Taipei, Taiwan, Sept 2019. ​

  3. W. Zhou, B. Zhong, and Kai-Kuang Ma, “Shape Matching Based on Rectangularized Curvature Scale-space Maps,” IEEE International Conference on Image Processing (ICIP), 4230-4234, Taipei, Taiwan, Sept 2019. 

  4. F. Zhu, H. Cao, Z. Feng, Y. Zhang, W. Luo, H. Zhou, M. Song, and Kai-Kuang Ma, “Semi-supervised Eye Makeup Transfer by Swapping Learned Representation,” IEEE Int. Conf. on Computer Vision Workshops, Seoul, Korea, Oct 2019.

  5. Zhuo Chen, F Kui, S Q Wang, WS Lin, LY Duan and A C Kot, “Lossy Intermediate Deep Learning Feature Compression and Evaluation,” in ACMMM 2019, Nice, France, October, 2019

  6. Huijing Zhan, Boxin Shi, Jiawei Chen, Qian Zheng, Lingyu Duan and A C Kot, “Fashion Recommendation on Street Images,” in IEEE ICIP 2019, Taipei, Taiwan, September 2019

  7. Qian Zheng, Boxin Shi, Xudong Jiang, Ling-Yu Duan and A C. Kot, “Denoising Adversarial Networks for Rain Removal and Reflection Removal,” in IEEE ICIP 2019, Taipei, Taiwan, September 2019

  8. HL Li, S Wang, RJ Wan and A C Kot, “Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding,” in AAAI, Honolulu, Hawaii, USA, 2019​

  9. Q.Y. Wang, Y.X. Zhang, J.S. Yuan, and Y.L. Lu, "Space-time event clouds for gesture recognition: from RGB cameras to event cameras," WACV 2019, Hawaii, 8-10 Jan 2019.

  10. L. Huang and Y.L. Lu, "A switchable or MIMO antenna for V2X communication," ICCEM 2019, Shanghai, China, 20-22 Mar 2019.

  11. M.H. Li and Y.L. Lu, "Optimal beam-space transformation design for robust data reduction and array processing in presence of strong interference," IEEE Radar 2019 Boston, MA, 22-26 Apr 2019.

  12. L. Huang and Y.L. Lu, "Experimental study on moving target localization using dual frequency continuous wave radar," IEEE Radar 2019, Boston, MA, USA, 22-26 Apr 2019

  13. L. Huang and Y.L. Lu, "Novel reconfigurable antennas and arrays," IEEE AP-S 2019, Atlanta, GA, 7-12 Jul 2019.

  14. X. Xiao and Y.L. Lu, "5D array synthesis for future radar array antenna design," IEEE AP-S 2019, Atlanta, GA, 7-12 Jul 2019.

  15. L. Huang, Y.L. Lu, "Progressive morphological filtering for land cover clustering based on SAR Imagery," APSAR 2019, 26-29 Nov 2019, Xiamen, China.

  16. X. Xiao, Y.L. Lu, "Temporal series crop classification study in rural china based on Sentinel-1 SAR data," APSAR 2019, 26-29 Nov 2019, Xiamen, China.

  17. L. Wang and Y.L. Lu, "Classification and identification of micro-Doppler signatures of pedestrian and cyclists using simulated data and ELM," IEEE ICSIDP 2019, Chongqing, China, 11-13 Dec 2019.​

  18. R. Ranjan, W.S. Gan, “Sound Event Detection and Direction of Arrival Estimation using Residual Net and Recurrent Neural Networks,” in Detection and Classification of Acoustic Scenes and Events 2019, 25-26  Oct 2019, New York City, USA.

  19. B Lam, et al., “Influence of Up-mixed First-order Ambisonics Reproduction in Cinematic Virtual-Reality-based Soundscape Evaluation,” International Congress and Exhibition on Noise Control Engineering 2019, 16-19 June 2019, Mardrid, Spain.

  20. JY Hong et al., “Effect of spatial separation between traffic noise and water sound on soundscape assessment,” International Congress and Exhibition on Noise Control Engineering 2019, 16-19 June 2019, Mardrid, Spain.

  21. DY Shi, B Lam, W.S.Gan, “Analysis of Multichannel Virtual Sensing Active Noise Controil to Overcome Spatial Correlation and Causality Constraints,” International Conference on Acoustic, Speech and Signal Processing (ICASSP 2019), 1-17 May 2019, Brighton, UK.

  22. R Gupta, R Ranjan, W.S.Gan, “Parametric Hear Through Equalization for Augmented Reality Audio,” International Conference on Acoustic, Speech and Signal Processing (ICASSP 2019), 1-17 May 2019, Brighton, UK.

  23. R Gupta, et al, “Study on Differences between individualized and non-individualized hear through Equalization for Natural Augmented Listening,” 2019 International Conference on Headphone Technology, 27-29 Aug 2019, San Francisco, USA.

  24. W.S. Gan, Keynote Speech on  “Signal Processing and Machine Learning Techniques for the Spatial Augmented Reality Audio: Current progress and Future Trends, “2019 International Conference on Headphone Technology, 27-29 Aug 2019, San Francisco, USA.

  25. JJ He et al, “Non-invasive Parameteric HRTF Measurement for Human Subjects Using Binaural and Ambisonic Recording of Any Sound Field,” 2019 International Conference on Headphone Technology, 27-29 Aug 2019, San Francisco, USA.

  26. S Peksi, “A Unity Based Unified Platform for individualised HRTF Research and Development: From On-the-fly Fast Acquisition to Spatial Audio Renderer,” 2019 International Conference on Headphone Technology, 27-29 Aug 2019, San Francisco, USA.

  27. DY Shi, et al, “Practical Consideration and Implementation for Avoiding Saturation of Large Amplitude Active Noise Control,” Processings for the 23rd International Congress on Acoustics.

  28. B Lam et al, “Evaluation of preferred levels of natural sounds in situ environment through an augmented reality device,”  Processings for the 23rd International Congress on Acoustics.

  29. ZT Ong, et al, “Prediction models of desirable levels of birdsong and water sound in a noisy environment: A laboratory experiment based on virtyal reality,” Processings for the 23rd International Congress on Acoustics.

  30. Pengfei Li, Kezhi Mao, Xuefeng Yang, and Qi Li. Improving Relation Extraction with Knowledge-attention, EMNLP-IJCNLP 2019, Hong Kong, China, November 2019.

  31. Z. Liu, Y. Xiang, J. Shi, P. Gao, H. Wang, X. Xiao, B. Wen, and Y. Hu, "HyperService: Interoperability and Programmability across Heterogeneous Blockchains," ACM Computer and Communications Security (CCS), 2019

  32. Z. Zha, X. Yuan, B. Wen, J. Zhang, J. Zhou, and C. Zhu, “Simultaneous Nonlocal Self-Similarity Prior for Image Denoising,” IEEE International Conference on Image Processing (ICIP), 2019

  33. Z. Zha, X. Yuan, B. Wen, J. Zhang, J. Zhou, and C. Zhu, “A Comparative Study for the Nuclear Norms Minimization Methods,” IEEE International Conference on Image Processing (ICIP), 2019

  34. F. Ji, Pratibha, and W. P. Tay, “On folded graph signals,” in Proc. IEEE Global Conf. on Signal and Information Processing, Ottawa, Canada, Nov. 2019

  35. Q. Kang and W. P. Tay, “Orthogonal projection in linear bandits,” in Proc. IEEE Global Conf. on Signal and Information Processing, Ottawa, Canada, Nov. 2019

  36. C. Wang, W. P. Tay, Y. Wang, and Y. Wei, “A privacy-preserving diffusion strategy over multitask networks,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Brighton, UK, May 2019

  37. T. S. Lau and W. P. Tay, “Asymptotically optimal quickest change detection under a nuisance change,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Brighton, UK, May 2019

  38. Y. Song, M. Guan, W. P. Tay, C. L. Law, and C. Wen, “UWB/LiDAR fusion for cooperative range-only SLAM,” in Int. Conf. on Robotics and Automation, Montreal, Canada, May 2019​

  39. X. Hou, Y. Wang, L.P. Chau. Vehicle Tracking Using Deep SORT with Low Confidence Track Filtering, International Workshop on Traffic and Street Surveillance for Safety and Security, IWT4S 2019, Taipei, Taiwan, Sept 2019

  40. Y. Wang, J. Hou and L.P. Chau, Object Counting In Video Surveillance Using Multi-Scale Density Map Regression, IEEE International Conference on Acoustic, speech and Signal Processing, ICASSP 2019, Brighton, UK, May 2019

  41. X. Ma, L.P. Chau, K. H. Yap and G. Ping, Convolutional Three-Stream Network Fusion for Driver Fatigue Detection from Infrared Videos, IEEE International Symposium on Circuits and Systems, ISCAS 2019, Sapporo, Japan, May 2019

  42. Y. Wang, L.P. Chau and X. Ma, Airlight Estimation Based on Distant Region Segmentation, IEEE International Symposium on Circuits and Systems, ISCAS 2019, Sapporo, Japan, May 2019

  43. H. Zhao, K.-H. Yap, and A. Kot “A Compact Distilled Network by Accelerated Ensemble Learning for Mobile Visual Food Recognition,” 21th International Conference on Artificial Intelligence (ICAI), Las Vegas, USA, 2019.

  44. C.-P. Tay, R. Sharmili and K.-H. Yap, “AANet: Attribute Attention Network for Person Re-Identification,” accepted for publication in The 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019

  45. C.-P. Tay, R. Sharmili and K.-H. Yap, “Multitask Person Re-Identification Using Homoscedastic Uncertainty Learning,” 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 2019.

  46. H. Zhao, K.-H. Yap A. Kot, L.-Y. Duan and N.-M. Cheung, “Few-shot and Many-shot Fusion Learning in Mobile Visual Food Recognition,” FoodCAS, 2019 IEEE International Symposium on Circuits and Systems, Sapporo (ISCAS), Japan, 2019.

  47. ]X. Ma, L.-P. Chau and K.-H. Yap, “Convolutional Three-Stream Network Fusion for Driver Fatigue Detection from Infrared Videos,” 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 2019.

  48. Y. Yazici, C.-S. Foo, S. Winkler, K.-H. Yap, G. Piliouras, V. Chandrasekhar, “The Unusual Effectiveness of Averaging in GAN Training,” International Conference on Learning Representations (ICLR), New Orleans, 2019.​

  49. S. Luo, Y. L. Che, K. Wu, and K. C. Teh, “Spatial modulation for dense mmWave network with multi-connectivity,” Accepted for publication in the IEEE ICC 2019, Shanghai, China, 20-24 May 2019.

  50. L Cheng, Z Zeng, L Chang, M Tsai, KV Ling I Wu, Model Predictive Direct Torque Control of Permanent Magnet Synchronous Motor for Torque Ripple Reduction, IEEE IFEEC, Singapore, November 2019.

  51. Z. Shang, Maode Ma, and X. Li, "A Certificateless Authentication Protocol for D2D Group Communications in 5G Cellular Networks,” Proc-IEEE GLOBECOM 2019, USA, December 2019.

  52. M. H. Bhuyan, Maode Ma, Y. Kadobayashi, and E. Elmroth, “Information-theoretic Ensemble Learning for DDoS Detection with Adaptive Boosting,” Proc-IEEE 31st International Conference on Tools with Artificial Intelligence 2019, ICTAI 2019, Poland, November 2019.

  53. X.  Li, Maode Ma, and Y. Yen, “Detecting IRC-based Botnets by Network Traffic Analysis Through Machine Learning,” Proc-29th International Telecommunication Networks and Applications Conference, ITNAC 2019, New Zealand, November 2019.

  54. H. Lee and Maode Ma, “Blockchain-based Mobility Management for LTE and Beyond,” Proc-IEEE SpaCCS-2019, US, July 2019.

  55. K. Han, Maode Ma, X. Li, Z. Feng and J. Hao, “An Efficient Handover Authentication Mechanism for 5G Wireless Network,” Proc-IEEE WCNC 2019, Morocco, April 2019.

  56. G. S. Toor and Maode Ma, “CETVSP: Cost Efficient Trust-Based Vehicle Selection for Platoon,” Proc-IEEE WCNC 2019, Morocco, April 2019.

  57. L. Zhang and Maode Ma, “Secure and Efficient Fast Initial Link Setup Scheme Design,” Proc-IEEE WCNC 2019, Morocco, April 2019.​

  58. H. Ding, X. Jiang, B. Shuai, A. Liu, and G. Wang, “Semantic Correlation Promoted Shape-Variant Context for Segmentation,” IEEE Conference on Computer Vision and Pattern Recognition, pp. 8885-8894, (CVPR’19 Oral), Jun 2019.

  59. H. Ding, X. Jiang, A. Liu, N. Thalmann, G. Wang, “Boundary-Aware Feature Propagation for Scene Segmentation,” International Conference on Computer Vision, (ICCV’19), pp. 6819- 6829, Oct 2019.

  60. Q. Zheng, Y. Jia, B. Shi, X. Jiang, L. Duan, A. Kot, “SPLINE-Net: Sparse Photometric Stereo through Lighting Interpolation and Normal Estimation Networks” International Conference on Computer Vision, (ICCV’19), pp. 8549-8558, Oct 2019.

  61. X. Wang, D. Heng, X. Jiang, “Dermoscopic Image Segmentation through the Enhanced High-Level Parsing And Class Weighted Loss,” IEEE Int. Conf. Image Processing (ICIP), pp. 245-249, Sep 2019.

  62. Q. Zheng, B. Shi, X. Jiang, L. Duan, A. Kot, “Denoising Adversarial Networks for Rain Removal And Reflection Removal,” IEEE Int. Conf. Image Processing (ICIP), pp. 2766-2770, Sep 2019.​

  63. Qinglai Liu, Yong Ching Lim and Zhiping Lin, “Design of Pipelined IIR Filters Using Two-Stage Frequency-Response Masking Technique,” in Proceedings of IEEE ISCAS 2019, Sapporo, Japan, 26-29 May, 2019. 

  64. Ruihan Gao, Jiawei Peng, Long Nguyen, Yunfeng Liang, Steven Thng, Zhiping Lin, “Classification of Non-Tumorous Facial Pigmentation Disorders Using Deep Learning and SMOTE,” in Proceedings of IEEE ISCAS 2019,  Sapporo, Japan, 26-29 May, 2019. 

  65. Siyuan Peng, Wee Ser, Badong Chen and Zhiping Lin, “Dual Graph Regularized Sparse Nonnegative Matrix Factorization for Data Representation,” in Proceedings of IEEE ISCAS 2019, Sapporo, Japan, 26-29 May, 2019. 

  66. Xiaoping Lai, Jiuwen Cao and Zhiping Lin, “Minimax Magnitude Response Approximation of Pole-Radius Constrained IIR Digital Filters,” in Proc. IEEE ICASSP 2019, Brighton, UK, 12-17 May, 2019. 

  67. Chao Zhai, Gaoxi Xiao and Hehong Zhang, “Identification and Analysis of Cascading Failures in Power Grids with Protective Actions,” Proc. ISGT Europe’2019, Bucharest, Romania, Sept.-Oct. 2019. 

  68. Chao Zhai, Gaoxi Xiao, Hehong Zhang, and Tso-Chien Pan, “Risk Identification of Power Transmission Networks with FACTS and HVDC Links,” Proc. WCRRA’2019, Singapore, July 2019.

  69. Min Meng and Gaoxi Xiao, “Output Feedback Control of Markovian Switching Boolean Control Networks,” Proc. IEEE ICCA’2019, Edinburgh, UK, July 2019.

  70. Chao Zhai, Gaoxi Xiao, and Hehong Zhang, “Risk Identification of Power Transmission System with Renewable Energy,” Proc. CCDC’2019, Nanchang, China, June 2019.​

  71. Y. Cheng, K. H. Li, K. C. Teh, S. Luo and W. Wang, “Performance analysis of cooperative NOMA systems with adaptive mode selection and subchannel allocation,” IEEE Transactions on Vehicular Technology, vol. 68, no. 11, pp. 10981–10990, Nov. 2019.

  72. S. Peng, X. He, J. Du, Y. L. Guan and L. Zhou, "A TDMA-like Access Scheme with Splitting Request and Transmission for Vehicular Networks," IEEE Wireless Communications and Networking Conference (WCNC), Marrakesh, Morocco, 2019, pp. 1-5.

  73. R. Rezaei, S. Sun, X. Kang, Y. L. Guan and M. R. Pakravan, "Secrecy Throughput Maximization for Full-Duplex Wireless Powered Communication Networks," IEEE International Conference on Communications (ICC), Shanghai, China, 2019, pp. 1-7.

  74. H. Nguyen, X. Xu and Y. L. Guan, "V2V Communications under the Shadowing of Multiple Big Vehicles," IEEE 90th Vehicular Technology Conference (VTC2019-Fall), Honolulu, HI, USA, 2019, pp. 1-5.

  75. T. Liu, P. Fan, Z. Zhou and Y. L. Guan, "Unimodular Sequence Design with Good Local Auto- and Cross-Ambiguity Function for MSPSR System," IEEE 89th Vehicular Technology Conference (VTC2019-Spring), Kuala Lumpur, Malaysia, 2019, pp. 1-5.

  76. O. Thakkar, D. K. Patel, Y. L. Guan, S. Sun, Y. C. Chang and J. M. Lim, "On the Joint Impact of SU Mobility and PU Activity in Cognitive Vehicular Networks with Improved Energy Detection," IEEE 89th Vehicular Technology Conference (VTC2019-Spring), Kuala Lumpur, Malaysia, 2019, pp. 1-6.

  77. J. Wang, P. Fan, Y. Yang and Y. L. Guan, "Range/Doppler Sidelobe Suppression in Moving Target Detection Based on Time-Frequency Binomial Design," IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul, Turkey, 2019, pp. 1-5.

  78. Z. Zhang, Y. Li, C. Huang, Q. Guo, C. Yuen and Y. L. Guan, "DNN-Aided Message Passing Based Block Sparse Bayesian Learning for Joint User Activity Detection and Channel Estimation," IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), Singapore, 2019, pp. 1-5.

  79. K. S. Kumar, H. Nguyen, Y. H. Lee and Y. L. Guan, "A V2X Communication System Test on Sea," IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Atlanta, GA, USA, 2019, pp. 929-930.

  80. H. H. F. Yin, X. Xu, K. H. Ng, Y. Liang Guan and R. W. Yeung, "Packet Efficiency of BATS Coding on Wireless Relay Network with Overhearing," IEEE International Symposium on Information Theory (ISIT), Paris, France, 2019, pp. 1967-1971.​

  81. L. Cao, K. T. Chau, C. H. T. Lee, T. W. Ching, and C. C. Chan, “Design, analysis and control of a double-rotor motor with magnetic differential for electric vehicles,” Proceedings of The 32nd International Electric Vehicle Symposium & Exhibition (EVS 32), Lyon, France, Paper No. 5610167, May 2019.

  82. W. Liu, K. T. Chau, C. H. T. Lee, T. W. Ching, and C. C. Chan, “Energy-encrypted wireless power transfer for electric vehicle dynamic charging,” Proceedings of The 32nd International Electric Vehicle Symposium & Exhibition (EVS 32), Lyon, France, Paper No. 5610323, May 2019.

  83. C. Jiang, K. T. Chau, C. H. T. Lee, W. Liu, W. Han, and W. H. Lam, “Design and analysis of single-transmitter multiple-frequency wireless motor drives,” Proceedings of the Joint Magnetism & Magnetic Materials/International Magnetics Conference (MMM-Intermag 2019), Washington DC, USA, Paper No. GE–05, January 2019.

  84. U. Muhammad, P. Vyas, A. Abraham, R.A. Sundaram, P. Mehta, J. Dauwels, "An Integrated Simulator for Testing and Validation of Autonomous Vehicle Applications with Physics-based Rendering Sensors", 26th ITS World Congress, Singapore, 21-25 October 2019 

  85. J.Y. Kuo, A. Sayeed, N.T. Tangirala, V.H.Y. Chua,  J. Dauwels, M.P. Mayer,  "Pedestrians’ Acceptance of Personal Mobility Devices on the Shared Path: A Structural Equation Modelling Approach" 26th ITS World Congress, Singapore, 21-25 October 2019 

  86. J.Y. Kuo, N.T. Tangirala, J. Murugesan, A. Sayeed, V.H.Y Chua, J. Dauwels and M.P. Mayer, "Experimental Analysis of Pedestrians’ Discomfort Zone for Personal Mobility Devices on the Footpath", 2019 IEEE 90th Vehicular Technology Conference: VTC2019-Fall 22–25 September 2019, Honolulu, Hawaii, USA.

  87. X. Jiang, H. Yu, M. Hoy, J. Dauwels, "Robust Linear-complexity Approach to Full SLAM Problems: Stochastic Variational Bayes Inference", 2019 IEEE 90th Vehicular Technology Conference: VTC2019-Fall 22–25 September 2019, Honolulu, Hawaii, USA.

  88. X. Jiang, H. Yu, M. Hoy, J. Dauwels, "Variational Bayesian Point Set Registration", 2019 IEEE 90th Vehicular Technology Conference: VTC2019-Fall 22–25 September 2019, Honolulu, Hawaii, USA.

  89. Y.H.V. Chua, P. Rajalingam, S.C. Tan, J. Dauwels, "Learning Technology for Education Challenges", 8th International Workshop, LTEC 2019, Zamora, Spain, July 15–18, 2019, Proceedings​​

  90. R.R. Pandi, S.G. Ho, S.C.Nagavarapu, J.Dauwels, “Adaptive Algorithm for Dial-A-Ride Problem with Vehicle Breakdown”, 18th European Control Conference (EEC), 25-28 June 2019, Naples, Italy.

  91. S. Wu, H. Yu, J. Dauwels, "Efficient Stochastic Subgradient Descent Algorithms for High-dimensional Semi-sparse Graphical Model Selection", ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp 2862-2866,  12-17 May 2019

  92. Y. H. V. Chua, J. Dauwels, S. C. Tan, "Technologies for automated analysis of co-located, real-life, physical learning spaces: Where are we now ?", The 9th International Learning Analytics and Knowledge Conference (LAK'19), 4 - 8 March 2019, Arizona 

  93. Z. W. Tan, A. H. T. Nguyen, A. W. H. Khong, “An Efficient Dilated Convolutional Neural Network for UAV Noise Reduction at Low Input SNR,” in Proc. Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA-ASC), 2019.

  94. A. H. T. Nguyen, V. G. Reju, A. W. H. Khong, “A method based on L-BFGS to solve constrained complex-valued ICA,” in Proc. IEEE Int’l Conf. Acoustic, Speech and Signal Processing (ICASSP), 2019

  95. K. Ng, S. Tatinati, A. W. H. Khong, “Characterization of fuzziness for grade prediction using deep neural networks,” in Proc. 9th Int’l Conf. Learning Analytics and Knowledge (LAK), 2019 

  96. A. Lentzakis, S. Ware, R. Su. (2019). A simulation modeling framework with au- tonomous vehicle region-based routing and public transit diversion integration. 2019 IEEE Intelligent Transportation Systems Conference, accepted, Auckland.

  97. A. Rashidinejad, L. Lin, B. Wetzels, Y. Zhu, M. Reniers, R. Su. (2019). Supervisory control of discrete-event systems under attacks: an overview and outlook. 2019 European Control Conference, pp. 1732-1739, Naples. 

  98. Y. Zhu, L. Lin, R. Su. (2019). Supervisor obfuscation against actuator enablement attack. 2019 European Control Conference, pp. 1760-1765, Naples. 

  99. K. Bekiroglu, S. Srinivasan, R. Su, K. Poolla. (2019). A scalable contract based approach for integrating building exibility to energy grids. 2019 European Control Conference, pp. 2394-2399, Naples.

  100. N. S. G. Guruge, R. Su, and Y. Zhang. (2019). Short-term en route air trac ow management under departure and wind uncertainty with a heuristic and greedy solution approach. 2019 American Control Conference, pp. 2121-2126, Philadelphia.

  101. L. Lin, S. Thuijsman, Y. Zhu, S. Ware, R. Su, and M. Reniers. (2019). Synthesis of supremal successful normal actuator attackers on normal supervisors.2019 American Control Conference, pp. 5614-5619, Philadelphia.

  102. B. Wang, R. Su, and F. Lewis. (2019). Leader-follower consensus tracking for heterogeneous nonlinear cooperative systems: a decentralized design framework. 2019 American Control Conference, pp. 5310-5315, Philadelphia.

  103. Di Li, D.A. Dharmawan and Boon Poh Ng and Susanto Rahardja, 'Residual U-Net for retinal vessel segmentation', September 2019, IEEE ICIP 2019.​

  104. A. Litvinenko, R. Tempone, A. C. Yucel, H. Bagci, J. Oppelstrup, and E. Michielssen, “Computation of electromagnetic fields scattered from objects of uncertain shapes using multilevel Monte Carlo,” in 2019 SIAM Conf. on Comp. Sci. and Eng., 2019.

  105. L. J. Gomez, A. C. Yucel, W. Sheng, and E. Michielssen, “Fast surrogate model-assisted uncertainty quantification via quantized tensor train decompositions,” in Proc CNC-USNC/URSI National Radio Sci. Meet., 2019.

  106. Z. Chen, S. Zheng, A. C. Yucel, and V. Okhmatovski, “Fast solution of scattering problems with tensor train accelerated method of moments on structured and unstructured meshes,” in Proc CNC-USNC/URSI National Radio Sci. Meet., 2019.

  107. C. Qian, Z. Chen, and A. C. Yucel, “Tensor decompositions for reducing the memory requirement of translation operator tensors in FMM-FFT accelerated IE solvers,” in Proc Applied Computational EM Society (ACES) Symp., 2019 .

  108. M. Wang, C. Qian, Z. Chen, E. di Lorenzo, L. J. Gomez, S. Zheng, V. Okhmatovski, and A. C. Yucel, “Tucker-enhanced VoxHenry simulator for inductance extraction of voxelized conducting/superconducting structures,” presented at 2019 IEEE MTT-S Int. Conf. on Num.  EM and Multiphysics Modeling and Opt. (NEMO 2019).

  109. M. Wang, C. Qian, and A. C. Yucel, “Tucker-enhanced VoxCap simulator for electrostatic analysis of voxelized structures,” presented at 2019 IEEE MTT-S Int. Conf. on Num.  EM and Multiphysics Modeling and Opt.  (NEMO 2019).

  110. V. Okhmatovski, S. Zheng, C. Qian, A. C. Yucel, and Z. Chen,  “Tensor train accelerated MoM solution of scattering problems on voxelized grids and unstructured meshes,” presented at 2019 IEEE MTT-S Int. Conf. on Num.  EM and Multiphysics Modeling and Opt.  (NEMO 2019), 2019.

  111. Z. Chen, S. Zheng, C. Qian, A. C. Yucel, V. Okhmatovski, “Pre-corrected tensor train algorithm for current flow modeling in 2D transmission lines,” presented at IEEE International Microwave Symposium (IMS 2019).

  1. D Shyam, C Athalye, and A C Kot, “Abandoned Object Detection,” International Conference on Multimedia and Expo (ICME), San Diego, CA, USA, 1-6, July, 2018

  2. Z. Zeng, H.Q. Zeng, J. Chen, C. Cai, C.H. Hsia, and Kai-Kuang Ma, “A Novel DCT-based Just Noticeable Difference Model via Block Energy,” International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 210-214, Okinawa, Japan, Nov 2018.

  3. Y. Zhu, G. Yu, J. Yuan, and Kai-Kuang Ma, “Selecting Informative Frames for Action Recognition with Partial Observations,” IEEE International Conference on Image Processing (ICIP), 465-469, Athens, Greece, Oct 2018. 

  4. Z. P. Zeng, H. Q. Zeng, J. Chen, J. Q. Zhu, C. H. Cai and Kai-Kuang Ma, “A Novel DCT-Based Just Noticeable Difference Model via Block Energy,” IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 210-214, Nov 2018.

  5. J Si, H Zhang, C G Li, J Kuen, X Kong, A C Kot, and G Wang, “Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification,” Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June, 2018

  6. J Liu, A Shahroudy, G Wang,  L Y Duan, and A C Kot, “SSNet: Scale Selection Network for Online 3D Action Prediction,” Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June, 2018

  7. H Li, S J Pan, S Wang, and A C Kot, “Domain Generalization with Adversarial Feature Learning,” Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June, 2018

  8. R Wan, B Shi, L Y Duan, A H Tan, and A C Kot, “CRRN: Multi-Scale guided Concurrent Reflection Removal,” Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June, 2018

  9. Shan Lin, Haoliang Li, Chang-Tsun Li and Alex C. Kot, ''Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification,", in Proceeding of The British Machine Vision Conference (BMVC), 2018​

  10. Y. Wang, Y.L. Lu, "Classification and tracking of moving objects from 77 GHz automotive radar sensors," ICCEM 2018, Chengdu, China, 26-28 March 2018.

  11. X. Xiao, Y.L. Lu, "Compact circularly polarized smart antenna system for CubeSat IDRS application," ICCEM 2018, Chengdu, China, 26-28 March 2018.

  12. X. Xiao, Y.L. Lu, "3D pattern optimization using PSO for an irregular dual-layer circular array," IEEE AP-S 2018, Boston, MA, 8-13 Jul 2018

  13. L. Huang, X. Xiao, Y.L. Lu, "A low profile smart antenna design for DSRC applications," IEEE AP-S 2018, Boston, MA, 8-13 Jul 2018

  14. A.K. Liu, Y.L. Lu, "A ultra-wideband monocone antenna with ceramic loading," IEEE AP-S 2018, Boston, MA, 8-13 Jul 2018 

  15. L. Huang, X. Xiao, Y.L. Lu "A low profile integrated DSRC/GPS antenna system for V2X applications," PIERS 2018, Toyama, Japan, 1-4 Aug 2018.

  16. A.K. Liu, Y.L. Lu, "A ultra-wideband monocone antenna with dielectric Loading," PIERS 2018, Toyama, Japan, 1-4 Aug 2018.

  17. L. Huang, Y.L. Lu, "A directional roadside unit antenna for V2X infrastructure," APCAP 2018, Auckland, New Zealand, 5-8 Aug 2018.

  18. X.W. Chen and Y.L. Lu, "An investigation of circular patch-ring antennas with layered substrates for DSRC application," APCAP 2018, Auckland, New Zealand, 5-8 Aug 2018.

  19. W.S. Gan, “Scaling up the Deployment of Active Noise Control Systems ,”published and presented in the Special Invite Overview session of the 10th Anniversary of APSIPA, 12-15 November 2018, in Hawaii, USA.

  20. T Nguyen, N Nguyen, DL Jones, W.S.Gan, “DCASE 2018 TASK 2: ITERATIVE TRAINING, LABEL SMOOTHING, AND BACKGROUND NOISE NORMALIZATION FOR AUDIO EVENT TAGGING,”in Detection and Classification of Acoustic Scenes and Events 2018, 19-20 Nov 2018, Surrey, UK.

  21. R Gupta, R Ranjan, JJ He, W.S.Gan, “On the use of closed-back headphones for active hear-through equalization in augmented reality applications,” International Conference on Audio for Virtual and Augmented Reality, 20-22 Aug 2018, Redmond, Washington, USA.

  22. R Gupta, R Ranjan, JJ He, W.S.Gan, “Investigation of effect of VR/AR headgear on Head related transfer functions for natural listening,” International Conference on Audio for Virtual and Augmented Reality, 20-22 Aug 2018, Redmond, Washington, USA

  23. B Lam, W.S.Gan “Reliability of wrist-worn sensors for measuring physiological responses in soundscape assessments,”in Inter-Noise 2018, 26-29 Aug 2018, Chicago, Illinois, USA.

  24. R Hasegawa, Y Kajikawa, W.S. Gan, “Window Active Noise Control System with Virtual Sensing Technique,”in Inter-Noise 2018, 26-29 Aug 2018, Chicago, Illinois, USA.

  25. ZT Ong, B Lam, JY Hong, K Ooi, W.S.Gan, “SELECTING BIRDSONGS FOR AUDITORY MASKING: A CLUSTERING APPROACH BASED ON PSYCHOACOUSTIC PARAMETERS,” 25th International Congress on Sound and Vibration, 8-12 July 2018, Hiroshima, Japan.

  26. JY Hong, B Lam, ZT Ong, W.S.Gan, “EFFECT OF APPARENT SOURCE WIDTH OF FOUNTAIN SOUNDS ON MASKING TRAFFIC NOISE,” 25th International Congress on Sound and Vibration, 8-12 July 2018, Hiroshima, Japan.

  27. B Lam, W.S.Gan, DY Shi, “HYBRID SOURCE ARRANGEMENT FOR ACTIVE CONTROL OF NOISE THROUGH APERTURES AT OBLIQUE INCIDENCES: A PRELIMINARY INVESTIGATION,” 25th International Congress on Sound and Vibration, 8-12 July 2018, Hiroshima, Japan.

  28. T Murao, M Nishimura, W.S.Gan, “EVALUATION OF NOISE INCIDENCE FOR HYBRID APPROACH OF ACTIVE AND PASSIVE NOISE CONTROL FOR OPEN WINDOW,” 25th International Congress on Sound and Vibration, 8-12 July 2018, Hiroshima, Japan.

  29. V Belyi, W.S.Gan, “BINAURAL INTEGRATED PSYCHOACOUSTIC ANC AND MASKING SYSTEM FOR HEADPHONES,” 25th International Congress on Sound and Vibration, 8-12 July 2018, Hiroshima, Japan.

  30. W.S. Gan et al., “Natural and augmented listening for VR/AR,”International Conference on Acoustic, Speech and Signal Processing, 15-20 April 2018 Calgary, Canada.

  31. DY Shi, W.S. Gan, “A Novel Selective Active Noise Control Algorithm to Overcome Practical Implementation Issue,” International Conference on Acoustic, Speech and Signal Processing, 15-20 April 2018 Calgary, Canada.

  32. W.S. Gan, “ Smart Audio Sensing for Environmental Deployment,” IEEE 4th World Forum on Internet of Things, 05-08 February 2018, Singapore.

  33. Annamalai Narayanan, Charlie Soh, Lihui Chen, Yang Liu, Lipo Wang, "apk2vec: Semi-supervised multi-view representation learning for profiling Android applications," 2018 IEEE International Conference on Data Mining (ICDM), pp.357-366, 2018.

  34. W. L. Lim, O. Sourina and L. P. Wang, “Cross Dataset Workload Classification Using Encoded Wavelet Decomposition Features”, 2018 International Conference on Cyberworlds (CW), 2018.

  35. Justin Ker, Satya P Singh, Jai Rao, Tchoyoson Lim, Lipo Wang, “Applying 3-Dimensional Convolutional Neural Networks to Computed Tomography (CT) Scans of Subarachnoid Hemorrhage”, The 8th IEEE International Workshop on Pattern Recognition in NeuroImaging (PRNI 2018), 12-14 June 2018, Singapore. 

  36. Zuobin Wu, Kezhi Mao and Gee-Wah Ng, Feature Regrouping for CCA - Based Feature Fusion and Extraction Through Normalized Cut, Proceedings of 21th International Conference on Information Fusion, Cambridge, UK, July 2018.

  37. D. Liu, B. Wen, Y. Fan, C.-L. Chen, and T. Huang, "Non-Local Recurrent Network for Image Restoration," Conference on Neural Information Processing Systems (NIPS) 2018

  38. Z. Zha, X. Yuan, B. Wen , J. Zhou, and C. Zhu, "Joint Patch-Group Based Sparse Representation for Image Inpainting," Asian Conference on Machine Learning (ACML) 2018

  39. D. Liu, B. Wen, X. Liu, Zhangyang Wang, and T. Huang, “When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach,” International Joint Conference on Artificial Intelligence (IJCAI), 2018

  40. B. Wen, and G. Su, “TransIm: Transfer Image Local Statistics Across EOTFs for HDR Image Applications,” IEEE International Conference on Multimedia and Expo (ICME), 2018

  41. B. Wen, U. Kamilov, D. Liu, H. Mansour, and P. Boufounos, “DeepCASD: An End-to-End Approach for Multispectral Image Super-Resolution,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018​​

  42. F. Ji and W. P. Tay, “Generalized graph signal processing,” in Proc. IEEE Global Conf. on Signal and Information Processing, Anaheim, USA, Nov. 2018

  43. C. X. Wang, Y. Song, and W. P. Tay, “Preserving parameter privacy in sensor networks,” in Proc. IEEE Global Conf. on Signal and Information Processing, Anaheim, USA, Nov. 2018

  44. W. Qiu, A. Khong, and W. P. Tay, “Hidden Markov model for masquerade detection based on sequence alignment,” in Proc. IEEE Cyber Science and Technology Congress, Athens, Greece, Aug. 2018

  45. Y. Wang, W. Hu, and W. P. Tay, “An event-based diffusion LMS strategy,” in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop, Sheffield, UK, Jul. 2018

  46. Pratibha, J. Wang, S. Aggarwal, F. Ji, and W. P. Tay, “Learning correlation graph and anomalous employee behavior for insider threat detection,” in Proc. Int. Conf. on Information Fusion, Cambridge, UK, Jul. 2018

  47. F. Ji, W. Tang, and W. P. Tay, “Properties and applications of Gromov matrices in network inference,” in Proc. IEEE Workshop on Statistical Signal Processing, Freiburg, Germany, Jun. 2018

  48. T. S. Lau and W. P. Tay, “Quickest change detection under a nuisance change,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Calgary, Canada, Apr. 2018

  49. Y. Song, C. X. Wang, and W. P. Tay, “Privacy-aware Kalman filtering,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Calgary, Canada, Apr. 2018​

  50. A. Matyasko and L.P. Chau, Improved Network Robustness with Adversary Critic, Thirty-second Conference on Neural Information Processing Systems, NIPS 2018, Montréal, Canada, December 2018

  51. C.H. Tan, J. Chen, Y. Ni, L.P. Chau and L.M. Soh, Vision-Based Rain Gauge for Dynamic Scenes, IEEE International Conference on Digital Signal Processing, DSP 2018, Shanghai, China, November 2018

  52. S. Nan, J. Chen, L.P. Chau and K. Qian, Learning-Based Parallax Transfer on Multispectral Light Field, IEEE International Conference on Digital Signal Processing, DSP 2018, Shanghai, China, November 2018

  53. J. Chen, C.H. Tan, J. Hou, L.P. Chau, and H. Li, Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework, 2018 Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, Utah, USA, June 2018

  54. M. Bastan, K. H. Yap and L.P. Chau, Idling Car Detection with ConvNets in Infrared Image Sequences, IEEE International Symposium on Circuits and Systems, ISCAS 2018, Florence, Italy, May 2018

  55. K. Abdiyeva, K.-H. Yap, W. Gang, N. Ahuja and M. Lukac, “Quantized-by-LookUp CNN” The 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), Singapore, 2018.

  56. D. Manandhar, K.-H. Yap, M. Bastan “Tiered Similarity Search for Fashion,” European Conference on Computer Vision, (ECCV) Workshop, Munich, Germany, 2018.

  57. H. Zhao, S. Roy, K.-H. Yap, A. Kot, and L.-Y. Duan “Personalized Knowledge Distillation-based Mobile Food Recognition,” 2018 20th International Conference on Artificial Intelligence (ICAI), Las Vegas, USA, 2018.

  58. H. Zhao, D. Manandhar, and K.-H. Yap, “Hybrid Supervised Deep Learning for Ethnicity Classification Using Face Images,” 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 2018.

  59. D. Manandhar, K.-H. Yap, M. Bastan, and H. Zhao “Brand-Aware Fashion Clothing Search Using CNN Feature Encoding and Re-Ranking,” 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 2018.

  60. M. Bastan, K.-H. Yap and L.-P. Chau, “Idling Car Detection with ConvNets in Infrared Image Sequences,” 2018 IEEE International Symposium on Circuits and Systems, Florence (ISCAS), Italy, 2018.

  61. Yazici Yasin, K.-H. Yap and S Winkler, “Autoregressive Generative Adversarial Networks,” 6th International Conference on Learning Representations (ICLR) Workshop Track, Vancouver, 2018.

  62. Y. Cheng, K. H. Li, K. C. Teh, S. Luo and W. Wang, “Joint user clustering and subcarrier allocation for downlink non-orthogonal multiple access systems,” Proc.- 2018 IEEE Global Communications Conference (GLOBECOM 2018), Abu Dhabi, UAE, pp. 1-6, 9-13 Dec. 2018.

  63. M. Sinnen, K. H. Li, and K. C. Teh, “Study of distance distributions and clustered user association in separation based two-tier HCNs,” Proc.- IEEE WCNC 2018, Barcelona, Catalonia, Spain, pp. 1-6, Apr. 2018.​

  64. Sun, Xin, K. V. Ling, K. K. Sin, and Lawrence Tay. "Intelligent Fault Detection and Diagnosis of Air Leakage on Train Door." In 2018 International Conference on Intelligent Rail Transportation (ICIRT), pp. 1-4. IEEE, 2018.

  65. Sun, Xin, K. V. Ling, K. K. Sin, and Lawrence Tay. "Extreme Learning Machine Based Intelligent Condition Monitoring System on Train Door." In International Conference on Extreme Learning Machine, pp. 98-107. Springer, Cham, 2018.

  66. R. Rigo-Mariani, K. V. Ling and J. Maciejowski, "A Generic Benchmark for Power Market Analysis From Generation Mix To End-Users," 2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT), Singapore, 2018, pp. 1-8.  

  67. R. Rigo-Mariani, K. V. Ling and J. Maciejowski, "Fastened Unit Commitment with Loss Linearization for Distributed Generation Planning Studies," 2018 IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, 2018, pp. 1-5.

  68. O. B. Iskender, K. V. Ling and V. Dubanchet, "Constraints Tightening Approach Towards Model Predictive Control Based Rendezvous and Docking with Uncooperative Targets," 2018 European Control Conference (ECC), Limassol, 2018, pp. 380-385. 

  69. XQ Wang, WK Ho, KV Ling, Computational Load Comparison of Multiplexed and Standard Model Predictive Control, Proceedings of the 2018 4th International Conference on Mechatronics and Robotics Engineering, Pages 17-22

  70. Y. Qiu, and Maode Ma, “A Privacy-preserving Proximity Testing for Location-based Services,”  Proc-IEEE GLOBECOM 2018, UAE, December 2018.

  71. A. Ozhelvaci and Maode Ma, “A Secure and Efficient Vertical Handover Authentication Scheme for 5G HetNets,” Proc-International Conference on Information Communication and Signal Processing 2018, ICSP 2018, Singapore, September 2018.

  72. Y. Qiu, and Maode Ma, “Privacy Preserving for Location-based IoT Services,” Proc- 2nd EAI International Conference on Smart Grid and Internet of Things, SGIoT 2018, Canada, July 2018.

  73. L. Zhang and Maode Ma, "Performance and Security Enhancements to Fast Initial Link Setup in IEEE 802.11ah Wireless Networks,” Proc-IEEE ICC'18, US, May 2018.

  74. K. L. K. Sudheera, Maode Ma and P. H. J. Chong, “Link Stability based Hybrid Routing Protocol for Software Defined Vehicular Networks,” Proc-IEEE ICC’18, US, May 2018.

  75. Q. Kong, Maode Ma, and R. Lu, “Achieving Secure Vehicle-to-vehicle Key Establishment in LTE-A Networks,” Proc-The 16th ITS Asia Pacific Forum, Japan, May 2018.

  76. X. Li, Maode Ma and J. Xie, “Temporary Internet Access for Authentication and Key Agreement for LTE Networks,” Proc-The 3rd EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2018, New Zealand, April 2018.

  77. J. Weng, M. Liu, X. Jiang, J. Yuan, “Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition,” Europe Conference on Computer Vision (ECCV’18), Sep 2018

  78. H. Ding, X. Jiang, B. Shuai, A. Liu, and G. Wang, “Context contrasted feature and gated multi-scale aggregation for scene segmentation,” IEEE Conference on Computer Vision and Pattern Recognition, pp. 2393-2402 (CVPR’18 Oral), Jun 2018.

  79. M. Yan, X. Jiang and J. Yuan, “3D Convolutional Generative Adversarial Networks for Detecting Temporal Irregularities in Videos,” Int. Conf.  Pattern Recognition (ICPR), Aug 2018

  80. I. Rida, S. Maadeed, X. Jiang, F. Lunke, A. Bensrhair, "An Ensemble Learning Method Based On Random Subspace Sampling For Palmprint Identification," IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), Apr 2018.​

  81. Beom-Seok Oh, Andrew Beng Jin Teoh, Kar-Ann Toh and Zhiping Lin, “Grassmannian Clustering for Multivariate Time Sequences,” in Proc. International Computer Symposium (ICS), Yunlin, Taiwan, 20-22 December 2018. 

  82. Z. Wang, S-B. Ho, Z. Lin, Stock Market Prediction Analysis by Incorporating Social and News Opinion and Sentiment, 2018 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 1375-1380. IEEE, 2018. 

  83. Zhaoxia Wang and Zhiping Lin, “Optimal Feature Selection of Learning based Algorithms for Sentiment Classification”, presented at International Conf. on Extreme Learning Machines 2018 (ELM 2018), Singapore, 21 – 23, Nov. 2018. 

  84. Huiping Zhuang, Beom-Seok Oh, Dongyun Lin, Kar-Ann Toh and Zhiping Lin, “Multicomponent Signal Decomposition using Morphological Operations,” in Proc. International Conference on Digital Signal Processing (DSP), Shanghai, China, 19-21 November 2018.

  85. Xiaoping Lai, Jiuwen Cao, Ruijie Zhao and Zhiping Lin, “A Relaxed ADMM Algorithm for WLS Design of Linear-Phase 2D FIR Filters,” in Proc. International Conference on Digital Signal Processing (DSP), Shanghai, China, 19-21 November 2018.

  86. Qinglai Liu, Yong Ching Lim and Zhiping Lin, “Design of Recursive Filters Using Frequency-Response Masking Technique,” in Proc. International Conference on Digital Signal Processing (DSP), Shanghai, China, 19-21 November 2018.

  87. Jiajun Sun, Guohua Wang, Zhiping Lin, Sirajudeen Gulam Razul, Xiaoping Lai, “Automatic Modulation Classification of Cochannel Signals using Deep Learning,” in Proc. International Conference on Digital Signal Processing (DSP), Shanghai, China, 19-21 November 2018.

  88. Jiajun Sun, Siyuan Peng, Qinglai Liu, Ruijie Zhao and Zhiping Lin, “Robust Constrained Recursive Least P-Power Algorithm for Adaptive Filtering,” in Proc. International Conference on Digital Signal Processing (DSP), Shanghai, China, 19-21 November 2018.

  89. Ruijie Zhao, Xiaoping Lai, Zhiping Lin and Zhifeng Gao, “A Bi-matrix-based Conjugate Gradient Algorithm for the WLS Design of Centro-symmetric 2-D FIR Filters,” in Proc. International Conference on Digital Signal Processing (DSP), Shanghai, China, 19-21 November 2018.

  90. Xinyue Ma, Beom-Seok Oh, Lei Sun, Kar-Ann Toh, and Zhiping Lin, “EMD-based Entropy Features for micro-Doppler mini-UAV classification,” in Proc. International Conference on Pattern Recognition (ICPR), pp. 1295-1300, Beijing, China, 20-24 Aug 2018.

  91. Weimin Huang, Lu Huang, Zhiping Lin, Su Huang, Yanling Chi, Jiayin Zhou, Junmei Zhang, Ru-San Tan, Liang Zhong, “Coronary Artery Segmentation by Deep Learning Neural Networks on Computed Tomographic Coronary Angiographic Images,” IEEE EMBC’18, pp. 608-611, Hawaii, USA, July, 2018.

  92. Xiaoyu Liu, Aung Aung Phyo Wai, Shastikk Kumaran, Yukesh Ragavendar Saravanan and Zhiping Lin, “Instance-Based Genre-Specific Music Emotion Prediction with An EEG Setup,” IEEE EMBC’18, pp. 2092-2095, Hawaii, USA, July, 2018.

  93. Han Lu, Haihong Zhang, Zhiping Lin and Ng Soon Huat, “A Novel Deep Learning based Neural Network for Heartbeat Detection in Ballistocardiograph,” IEEE EMBC’18, pp. 2563-2566, Hawaii, USA, July, 2018.

  94. Xiaoping Lai, Jiuwen Cao and Zhiping Lin, “A Novel Relaxed ADMM with Highly Parallel Implementation for Extreme Learning Machine,” in Proceedings of IEEE ISCAS 2018, Florence, Italy, May, 2018.

  95. Ruijie Zhao, Xiaoping Lai and Zhiping Lin, “An Iterative Reweighted Minimax Algorithm for the Design of FRM-based Two-channel QMF Banks,” in Proceedings of IEEE ISCAS 2018, Florence, Italy, May, 2018. 

  96. Siyuan Peng, Wee Ser, Zhiping Lin and Badong Chen, “Sparse nonnegative matrix factorization based on maximum correntropy criterion,” in Proceedings of IEEE ISCAS 2018, Florence, Italy, May, 2018.

  97. Long D. Nguyen, Dongyun Lin, Zhiping Lin and Jiuwen Cao, “Deep CNNs for microscopic image classification by exploiting transfer learning and feature concatenation,” in Proceedings of IEEE ISCAS 2018, Florence, Italy, May, 2018.

  98. Aditya Galada, Jianmin Zhang, Yong Kiang Yeo, Wee Ser, Zhiping Lin, Doris Tan, Yvonne Chow, Swapna Tony, Jaclyn Chow and David Foo, “ECG Signal Processing and Analysis for Data Arising from Rehab Patients Doing Exercises,” in Proceedings of IEEE ISCAS 2018, Florence, Italy, May, 2018.

  99. Anil Kumar, Dongye Zhang, Zhiping Lin, Sirajudeen Gulam Razul, and Chong Meng Samson See, “Direction finding and multipath mitigation using single antenna,” IEEE ISCAS 2018, Florence, Italy, May, 2018.​

  100. Beibei Li, Rongxing Lu, Gaoxi Xiao, Zhou Su, and Ali Ghorbani, “PAMA: A Proactive Approach to Mitigate False Data Injection Attacks in Smart Grids,” Proc. IEEE Globecom’2018, Abu Dhabi, UAE, Dec. 2018.

  101. Chao Zhai, Gaoxi Xiao, Hehong Zhang, and Tso-Chien Pan, “Cooperative Control of TCSC to Relieve the Stress of Cyber-physical Power System,” in Proc. ICARCV’2018, Singapore, Nov. 2018.

  102. Yi Yu, Vu Xuan Nguyen, and Gaoxi Xiao, “Effects of Initial State on Opinion Formation in Complex Social Networks with Noises,” Proc. ICCSCSS’2018, Sydney, Austria, Oct. 2018.

  103. Hehong Zhang, Yunde Xie, Gaoxi Xiao, Chao Zhai, Huangwei Kang, and Junqing Tang, “Tracking Differentiator via Time Criterion,” Proc. ACC’2018, Milwaukee, USA, June 2018.

  104. Hehong Zhang, Gaoxi Xiao, Yunde Xie, Chao Zhai, Xiaozhou Yang, Luo Yang, Hanxiang Zhao, Tso-Chien Pan, “A High-Precision Discrete Tracking Differentiator and Its Application in Processing PMU Data,” Proc. ICCAIRO’2018, Plague, Czech, May 2018.

  105. W. Wang, K. C. Teh, K. H. Li, and S. Luo, “On the impact of adaptive eavesdroppers in multi-antenna cellular networks,” IEEE Transactions on Information Forensics and Security, vol. 13, no. 2, pp. 269–279, Feb. 2018.

  106. W. Wang, K. C. Teh, S. Luo, and K. H. Li, “Physical layer security in heterogeneous networks with pilot attack: a stochastic geometry approach,” IEEE Transactions on Communications, vol. 66, no. 12, pp. 6437–6449, July 2018.

  107. Y. Cheng, K. H. Li, K. C. Teh and S. Luo, “Joint user pairing and subchannel allocation for multisubchannel multiuser nonorthogonal multiple access systems,” IEEE Transactions on Vehicular Technology, vol. 67, no. 9, pp. 8238–8248, Sep. 2018.

  108. X. Liu, Y. L. Guan, S. N. Koh, T. K. Ann Donny and Z. Liu, "On the Performance of Single-Channel Source Separation of Two Co-Frequency PSK Signals with Carrier Frequency Offsets," MILCOM 2018 - 2018 IEEE Military Communications Conference (MILCOM), Los Angeles, CA, 2018, pp. 1-5.

  109. Y. Gao, X. Xu, Y. Zeng and Y. L. Guan, "Optimal Scheduling for Multi-Hop Video Streaming with Network Coding in Vehicular Networks," 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, 2018, pp. 1-5.

  110. P. Yang, J. Zhu, Y. Xiao and Y. L. Guan, "Spatial Modulation Based on Supervised Learning," 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), Shanghai, China, 2018, pp. 1-5.

  111. J. Zhu, P. Yang, Y. Xiao, Y. L. Guan and S. Li, "Link Adaption aided Enhanced Spatial Modulation for MIMO Transmissions," 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), Shanghai, China, 2018, pp. 1-5.

  112. G. G. M. N. Ali, M. Noor-A-Rahim, M. A. Rahman, S. K. Samantha, P. H. J. Chong and Y. L. Guan, "An Efficient Cross-Layer Coding-Assisted Heterogeneous Data Access in Vehicular Networks," 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, 2018, pp. 1-7.

  113. C. H. T. Lee, K. T. Chau, T. W. Ching, and C. C. Chan, “Development of double-rotor Vernier permanent-magnet machine for electric vehicle applications,” Proceedings of The 31st International Electric Vehicle Symposium & Exhibition (EVS 31), Kobe, Japan, Paper No. 5306, September 2018.

  114. L. Cao, K. T. Chau, C. H. T. Lee, and C. C. Chan, “Flux-switching DC-field machines with harmonics suppression,” Proceedings of The 31st International Electric Vehicle Symposium & Exhibition (EVS 31), Kobe, Japan, Paper No. 5812, September 2018.

  115. C. H. T. Lee, and J. L. Kirtley, “A double-rotor consequent-pole Vernier permanent-magnet machine with toroidal-winding arrangement for hybrid electric vehicles,” Proceedings of The IEEE International Magnetic Conference 2018 (INTERMAG 2018), Marina Bay Sands, Singapore, Paper No. AU–08, April 2018.

  116. L. Cao, K. T. Chau, C. H. T. Lee, and C. C. Chan, “Design and analysis of an outer-rotor flux-switching DC-field machine,” Proceedings of The 24nd International Conference on Electrical Engineering 2018 (ICEE 2018), Seoul, Korea, Paper No. A20171108-0184, June 2018.​

  117. S. Basu, Y. H. V. Chua, M. W. Lee, W. G. Lim, T. Maszczyk, Z. Guo, J. Dauwels, "Towards a data-driven behavioral approach to prediction of insider-threat", International Workshop on Big Data Analytics for Cyber Threat Hunting (CyberHunt 2018), 10 - 14  December 2018, Seattle, WA

  118. ​A. James, M. Kashyap, Y. H. V. Chua, T. Maszczyk, J. Dauwels, R. Bull, A. Moreno-Núñez, "Inferring the Climate in Classrooms from Audio and Video Recordings: A Machine Learning Approach", International Conference on Teaching, Assessment and Learning for Engineering 2018 (IEEE TALE2018),  4 - 7  December 2018, Wollongong, Australia

  119. ​NT. Tangirala, A. Abraham, A. Choudhury, P. Vyas, R. Zhang, J. Dauwels, "Analysis of Packet drops and Channel Crowding in Vehicle Platooning using V2X communication", IEEE Symposium Series on Computational Intelligence (SSCI-2018), 18-21 Nov 2018 , Bangalore, India

  120. R. Zhang, A. Abraham, S. Dasgupta, J. Dauwels, "Constrained Model Predictive Control using Kinematic Model of Vehicle Platooning in VISSIM Simulator", 15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018), November 18-21, 2018, Marina Bay Sands, Singapore.

  121. ​S. Xu, Z. Yang, D. Chakraborty, Y. Tahir, T. Maszczyk, Y. H. V. Chua, J. Dauwels, D. Thalmann, N. M. Thalmann, B. L. Tan, J. C. K. Lee, "Automatic Verbal Analysis of Interviews with Schizophrenic Patients", 2018 23rd International Conference on Digital Signal Processing (DSP), 19 - 21 November 2018, Shanghai, China

  122. R.R. Pandi, S.G. Ho, S.C.Nagavarapu, J.Dauwels, "Deterministic Annealing for Depot Optimization: Applications to Dial-a-ride Problems", IEEE Symposium series on computational intelligence (SSCI-2018), 18-21 Nov 2018, Bangalore, India

  123. R.R. Pandi, S.G. Ho, S.C.Nagavarapu, T.Tripathy, J.Dauwels, "GPU-Accelerated Tabu Search Algorithm for Dial-a-ride Problem", 21st IEEE Intelligent Transportation Systems Conference (ITSC), 04-07 Nov 2018, Maui Hawaii, USA.

  124. S.G. Ho, H.W. Koh, R.R. Pandi, S.C.Nagavarapu, J.Dauwels, "Solving Time-dependent Dial-a-ride Problem using Greedy Ant Colony Optimization", 21st IEEE Intelligent Transportation Systems Conference (ITSC), 04-07 Nov 2018, Maui Hawaii, US

  125. B. Ghosh, Y. Zhu, J. Dauwels, "Effectiveness of VMS Messages in Influencing the Motorists' Travel Behaviour", 2018 21st IEEE Intelligent Transportation Systems Conference (ITSC), 4-7 Nov 2018, Maui Hawaii, USA.

  126. ​D. Chakraborty, S. Xu, Z. Yang, Y. H. V. Chua, Y. Tahir, J. Dauwels, D. Thalmann, N. M. Thalmann, B. L. Tan, J. C. K. Lee, "Prediction of Negative Symptoms of Schizophrenia from Objective Linguistic, Acoustic and Non-verbal Conversational Cues", 3 - 5 October 2018 International Conference on Cyberworlds (CW), Singapore

  127. I.Gupta, S.C. Narasimman, S. R. Ravula, L. Wang, J. Dauwels, A. Ukil, "Implementation of a Cost Effective Gas Pipeline Monitoring System for Water Ingress Detection," 2018 IEEE 39th Sarnoff Symposium, September 24-25, 2018, Newark, NJ.

  128. S.G. Ho, S.C.Nagaravapu, R.R. Pandi, J.Dauwels, "An Improved Tabu Search Heuristics for Static Dial-a-ride Problem", 25th Intelligent Transport Systems World Congress (ITSWC), 17-21 Sep 2018, Copenhagen, Denmark

  129. S.G. Ho, R.R. Pandi, S.C.Nagaravapu, J.Dauwels, "Multi-Atomic Annealing Heuristic for the Dial-a-ride Problem", IEEE International Conference on Service operations, logistics and informatics (SOLI-2018), 31 Jul - 02 Aug 2018, Furama RiverFront, Singapore

  130. J. Thomas,  L. Comoretto, J. Jing, J. Dauwels, S. S. Cash, M.B. Westover, "EEG CLassification Via Convolutional Neural Network-Based Interictal Epileptiform Event Detection", 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18), July 17-21 2018, Honululu, Hawaii

  131. A. Chowdhury, G. Kulandaivelu, V.R. Aparow, T.H. Webster, N. de Boer, J.Dauwels, "A comprehensive simulation platform for testing Autonomous Vehicles", 14th International Symposium on Advanced Vehicle Control, 16-20 July 2018, Shanghai, China

  132. J. Jing, E. d'Angremont, S. Zafar, E. S. Rosenthal, M. Tabaeizadeh, S. Ebrahim, J. Dauwels, M. B. Westover, "Rapid Annotation of Seizures and Interictal-ictal Continuum EEG Patterns", 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18), July 17-21 2018, Honululu, Hawaii

  133. ​A. James, Y. H. V. Chua, T. Maszczyk, J. Dauwels, R. Bull, K. Lee, A. Moreno-Núñez, "Automated Classification of Classroom Climate by Audio Analysis", International Workshop on Spoken Dialog System Technology 2018 (IWSDS 2018), 14 - 16 May 2018, Singapore

  134. ​S. Xu, Z. Yang, D. Chakraborty, Y. Tahir, T. Maszczyk, Y. H. V. Chua, J. Dauwels, D. Thalmann, N. M. Thalmann, B. L. Tan, J. C. K. Lee, "Automated Lexical Analysis of Interviews with Schizophrenic Patients", International Workshop on Spoken Dialog System Technology 2018 (IWSDS 2018)​, May 14 - 16 2018,  Singapore

  135. E. Bagheri, J. Jing, J. Dauwels, S. Cash, and M.B. Westover, "Classifier cascade to aid in detection of epileptiform transients in interictal EEG", 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 15-20 April 2018, Calgary, Canada​

  136. W. Qiu, A. W. H. Khong, W. P. Tay, “Hidden Markov model for masquerade detection based on sequence alignment,” in Proc. IEEE Cyber Science and Technology Congress, 2018

  137. S. Supraja, S. Tatinati, K. Hartman, A. W. H. Khong, “Automatically linking digital signal processing assessment questions to key engineering outcomes,” in Proc. IEEE Int’l Conf. Acoustic, Speech and Signal Processing (ICASSP), 2018

  138. K. H. R. Ng, S. Tatinati, A. W. H. Khong,”Online education evaluation for signal processing course through student learning pathways,” in Proc. IEEE Int’l Conf. Acoustic, Speech and Signal Processing (ICASSP), 2018. 

  139. S. Mondal, R. Su. (2018). Multiparty consensus of multi agent systems using _xed time control. Proc. 57th IEEE Conference on Decision and Control, pp. 6192-6197, Miami.

  140. R. Su, W. M. Wonham. (2018). A generalized theory on supervisor reduction. Proc. 57th IEEE Conference on Decision and Control, pp. 3950-3955, Miami.

  141. K. Bekiroglu, O. Duru, S. Srinivasan, R. Su, C. Lagoa, J. Li. (2018). Governing Dynamics of Crude Oil and LNG Prices. Proc. 2018 IEEE International Conference on Control and Automation, pp. 872-877, Anchorage.

  142. Y. Zhang, R. Su. (2018). Pedestrian phase pattern investigation in a tra_c light scheduling problem for signalized network. Proc. 2018 IEEE Conference on Control Technology and Applications, pp. 608-613, Copenhagen. 

  143. K. Bekiroglu, S. Srinivasan, R. Su, C. Lagoa, and K. Poolla. (2018). Recursive parsimonious system identification algorithm for dynamical systems. Proc. 2018 IEEE Conference on Control Technology and Applications, pp. 1520-1525, Copenhagen.

  144. S. Ware, Y. Zhu, F. Yang, R. Su, L. Lin. (2018). An efficient method of matrix multiplication for heaps of pieces. Proc. 14th IFAC Workshop on Discrete Event Systems, pp. 206-211, Sorrento Coast.

  145. F. Yang, Y. Qiao, K. Gao, N. Q. Wu, Y. Zhu, S. Ware, R. Su. (2018). Scheduling and control of start-up process for time-constrained single-arm cluster tools with parallel chambers. Proc. 14th IFAC Workshop on Discrete Event Systems, pp. 251-256, Sorrento Coast.

  146. D.A. Dharmawan and Boon Poh Ng, “Segmenting Retinal Vessels With A Multi-Scale Modified Dolph-Chebyshev Type I Function Matched Filter”, 4th International Conference on Science and Technology (ICST), August 2018.​

  147. S. Guler, A. C. Yucel, H. Bagci, and O. Ergul, “Mixed discretization of CFIE in the framework of MLFMA, ” in Proc Prog. EM Res. Symp. (PIERS), pp. 1-6, Toyama, Japan, Aug 1-4 2018.

  148. A. C. Yucel, G. Karaova, H. Bağcı, and J. K. White, “VoxCap: An FFT-accelerated capacitance extractor for voxelized structures,” in Proc CNC-USNC/URSI National Radio Sci. Meet., 2018.

  149. W. Sheng, Y. Liu, A. C. Yucel, H. Guo, and E. Michielssen, “Compression of scattering matrices in domain decomposition based surface integral equation simulator via randomized hierarchically off-diagonal butterfly factorization,” in Proc CNC-USNC/URSI National Radio Sci. Meet., 2018.

  150. W. Sheng, A. C. Yucel, Y. Liu, H. Guo, and E. Michielssen, “Optimizations and reconfigurations of wireless communication network in mine environments” in Proc CNC-USNC/URSI National Radio Sci. Meet., 2018.

  151. A. C. Yucel, I. P. Georgakis, A. G. Polimeridis, H. Bağcı, and J. K. White, “An FFT-accelerated inductance extractor for voxelized structures,” in Proc Int. Applied Computational EM Society (ACES) Symp., Denver, CO, USA, 2018.