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Selected Journal Articles

[1]          J. Weng, X. Jiang, W. Zheng, J. Yuan “Early Action Recognition with Category Exclusion Using Policy-based Reinforcement Learning,” IEEE Transactions on Circuits and Systems for Video Technology, online published, DOI: 10.1109/TCSVT.2020.2976789, Feb 2020.

[2]          H. Ding, X. Jiang, B. Shuai, A. Liu, and G. Wang, Semantic Segmentation with Context Encoding and Multi-Path Decoding,” IEEE Transactions on Image Processing, vol. 29, pp. 3520 - 3533, 2020.

[3]          J. Liu, H. Ding, A. Shahroudy, L. Duan, X. Jiang, G. Wang, A. Kot, "Feature Boosting Network For 3D Pose Estimation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 2, pp. 494-501, Feb 2020.

[4]          X. Wang, X. Jiang, H. Ding, J. Liu, “Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation,IEEE Transactions on Image Processing, vol. 29, pp. 3039 - 3051, 2020.

[5]          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.

[6]          K. Lim, X. Jiang, C. Yi, “Deep Clustering with Variational Autoencoder,” IEEE Signal Processing Letters, vol. 27, pp. 231-235, 2020.

[7]          Z. Yu, X. Jiang, F. Zhou, J. Qin, D. Ni, S. Chen, B. Lei, T. Wang, “Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features,” IEEE Transactions on Biomedical Engineering, vol. 66, no. 4, pp. 1006-1016, Apr 2019.

[8]          B. Shuai, H. Ding, T. Liu, G. Wang, X. Jiang “Towards Achieving Robust Low-level and High-level Scene Parsing,” IEEE Transactions on Image Processing, vol. 28, no. 3, pp. 1378-1390, Mar 2019.

[9]          X. Wang, X. Jiang, Retinal Vessel Segmentation by a Divide-and-conquer Funnel-structured Classification Framework,Signal Processing, vol. 165, pp. 104-114, Dec 2019.

[10]       J. Mei, X. Jiang, J. Cai, Learning Local Feature Representation from Matching, Clustering and Spatial Transform,” Journal of Visual Communication and Image Representation, vol. 63, 102601, Aug 2019.

[11]       X. Wang, X. Jiang, J. Ren,Blood Vessel Segmentation from Fundus Image by a Cascade Classification Framework,Pattern Recognition, vol. 88, pp. 331-341, Apr 2019.

[12]       J. Mei, Z. Wu, X Chen, Y Qiao, H. Ding, X. Jiang, "DeepDeblur: Text Image Recovery from Blur to Sharp," Multimedia Tools And Applications, Vol. 78, no. 13, pp. 18869-18885, Jul 2019.

[13]       S. Maadeed, X. Jiang, I. Rida, A. Bouridane, “Palmprint identification using sparse and dense hybrid representation,” Multimedia Tools and Applications, Vol. 78, no. 5, pp. 5665-5679, Mar 2019.

[14]       Z. Lu, X. Jiang and A. Kot, “Color Space Construction by Optimizing Luminance and Chrominance Components for Face Recognition,Pattern Recognition, vol. 83, pp. 456-468, Nov 2018.

[15]       V. Mishuhina and X. Jiang, “Feature Weighting and Regularization of Common Spatial Patterns in EEG-based Motor Imagery BCI,” IEEE Signal Processing Letters, vol. 25, no. 6, pp. 783787, Jun 2018.

[16]       Z. Lu, X. Jiang and A. Kot,Deep Coupled ResNet for Low-Resolution Face Recognition,” IEEE Signal Processing letters, vol. 25, no. 4, pp. 526530, Apr 2018.

[17]       R. Huang and X. Jiang, “Off-Feature Information Incorporated Metric Learning for Face Recognition,” IEEE Signal Processing letters, vol. 25, no. 4, pp. 541545, Apr 2018.

[18]       Z. Lu, X. Jiang and A. Kot,Feature Fusion with Covariance Matrix Regularization in Face Recognition,” Signal Processing, vol. 144, pp. 296–305, Mar 2018.

[19]      J. Ren, X. Jiang, J. Yuan and N. Thalmann, “Sound-Event Classification Using Robust Texture Features for Robot Hearing,” IEEE Transactions on Multimedia, vol. 19, no. 3, pp 447 458, Mar 2017.

[20]      Y. Song, E. Tan, X. Jiang, J. Cheng, D. Ni, S. Chen, B. Lei, T. Wang, “Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images,” IEEE Transactions on Medical Imaging, Volume: 36, no. 1, pp. 288 – 300, Jan 2017.

[21]      J. Ren and X. Jiang, Regularized 2-D Complex-Log Spectral Analysis and Subspace Reliability Analysis of Micro-Doppler Signature for UAV Detection,Pattern Recognition, vol. 69, pp. 225–237, Sep 2017.

[22]      J. Ren, X. Jiang and J. Yuan, “LBP-Structure Optimization with Symmetry and Uniformity Regularizations for Scene Classification,” IEEE Signal Processing letters, vol. 24, no.1, pp. 37 - 41, Jan 2017.

[23]      B. Lei, W. Li, Y. Yao, X. Jiang, E. Tan, J. Qin, S. Chen, D. Ni and T. Wang, “Multi-modal and Multi-layout Discriminative Learning for Placental Maturity Staging,” Pattern Recognition, Volume 63, pp 719–730, Mar 2017.

[24]      C. Weng, H. Wang, J. Yuan and X. Jiang, “Discovering Class-Specific Spatial Layouts for Scene Recognition,” IEEE Signal Processing letters, vol. 24, no.8, pp. 1143 – 1147, Aug 2017.

[25]      J. Lai and X. Jiang, “Class-wise Sparse and Collaborative Patch Representation for Face Recognition,” IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3261 - 3272, Jul 2016. © Codes © Data ©

[26]      Z. Miao, X. Jiang and K. Yap, “Contrast Invariant Interest Point Detection by Zero-Norm LoG Filter,” IEEE Transactions on Image Processing, vol. 25, no. 1, pp. 331 - 342, Jan 2016.

[27]      I. Rida, X. Jiang and G. Marcialis, "Human Body Part Selection by Group Lasso of Motion for Model-Free Gait Recognition," IEEE Signal Processing letters, vol. 23, no. 1, pp. 154 - 158, Jan 2016.

[28]      X. Jiang and J. Lai, “Sparse And Dense Hybrid Representation via Dictionary Decomposition for Face Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 5, pp. 1067-1079, May 2015. © Codes ©

[29]      J. Ren, X. Jiang and J. Yuan, "LBP Encoding Schemes Jointly Utilizing the Information of Current Bit and Other LBP Bits," IEEE Signal Processing letters, vol. 22, no. 12, pp. 2373 - 2377, Dec 2015.

[30]      J. Ren, X. Jiang and J. Yuan, “A Chi-Squared-Transformed Subspace of LBP Histogram for Visual Recognition,” IEEE Transactions on Image Processing, vol. 24, no. 6, pp. 1893-1904, Jun 2015.

[31]      Z. Lu, X. Jiang and A. Kot, “A Color Channel Fusion Approach for Face Recognition,” IEEE Signal Processing letters, vol. 22, no. 11, pp. 1839 - 1843, Nov 2015.

[32]      J. Ren, X. Jiang and J. Yuan, “Learning LBP Structure by Maximizing the Conditional Mutual Information,” Pattern Recognition, vol. 48, no. 10, pp. 3180 - 3190, Oct 2015.

[33]      T. Chen, W. Yau and X. Jiang, Fast Match-on-Card Technique Using In-Matcher Clustering with ISO Minutia Template,” International Journal of Biometrics, vol. 7, no. 2, pp. 119-146, Aug 2015.

[34]      J. Ren, X. Jiang, J. Yuan and W. Gang, "Optimizing LBP Structure for Visual Recognition Using Binary Quadratic Programming," IEEE Signal Processing letters, vol. 21, no. 11, pp. 1346-1350, Nov 2014.

[35]      A. Satpathy, X. Jiang and H. Eng, “LBP Based Edge-Texture Features for Object Recognition,” IEEE Transactions on Image Processing, vol. 23, no. 5, pp. 1953-1964, May 2014. © Codes ©

[36]      Z. Miao and X. Jiang, “Additive And Exclusive Noise Suppression by Iterative Trimmed And Truncated Mean Algorithm,” Signal Processing, vol. 99, pp. 147-158, Jun 2014. © Codes ©

[37]      A. Satpathy, X. Jiang and H. Eng, “Human Detection by Quadratic Classification on Subspace of Extended Histogram of Gradients,” IEEE Transactions on Image Processing, vol. 23, no. 1, pp. 287-297, Jan 2014. © Codes(Matlab) © © Codes(C++) ©

[38]      Z. Miao and X. Jiang, “Interest Point Detection Using Rank Order LoG Filter,” Pattern Recognition, vol. 46, no. 11, pp. 2890-2901, Nov 2013.

[39]      J. Ren, X. Jiang and J. Yuan, “Noise-Resistant Local Binary Pattern with an Embedded Error-Correction Mechanism,IEEE Transactions on Image Processing, vol. 22, no. 10, pp. 4049-4060, Oct 2013.

[40]      F. Ou, N. Rao, X. Jiang, M. Qian, W. Feng, L. Yin, X. Chen, “Analysis on Differential Gene Expression Data for Prediction of New Biological Features in Permanent Atrial Fibrillation,” PLoS ONE, vol. 8, no. 10, pp. 1-8, e76166, doi:10.1371/journal.pone.0076166, Oct 2013.

[41]      Z. Miao and X. Jiang, “Weighted Iterative Truncated Mean Filter,” IEEE Transactions on Signal Processing, Vol. 61, no. 16, pp. 4149-4160, Aug 2013. © Codes ©

[42]      C. Geng and X. Jiang, “Fully Automatic Face Recognition Framework based on Local and Global Features,” Machine Vision and Applications, vol. 24, no. 3, pp. 537-549, Apr 2013.

[43]      J. Ren, X. Jiang and J. Yuan, “A Complete and Fully Automated Face Verification System on Mobile Devices,Pattern Recognition, vol. 46, no. 1, pp. 45-56, Jan 2013.

[44]      T. Chen, W. Yau and X. Jiang, "ISO/IEC standards for on-card biometrics comparison," International Journal of Biometrics, vol. 5, no. 1, pp. 30-52, Jan 2013.

[45]      Z. Miao and X. Jiang, “Further Properties and a Fast Realization of the Iterative Truncated Arithmetic Mean Filter IEEE Transactions on Circuits and Systems-II, vol. 59, no. 11, pp. 810-814, Nov 2012. © Codes ©

[46]      J. Lai and X. Jiang, “Modular Weighted Global Sparse Representation for Robust Face Recognition,” IEEE Signal Processing letters, vol. 19, no. 9, pp. 571-574, Sep 2012.

[47]      X. Jiang, "Iterative Truncated Arithmetic Mean Filter And Its Properties," IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1537-1547, Apr 2012. © Codes ©

[48]      H. Yang, A. Kot and X. Jiang, “Binarization of Low-Quality Barcode Images Captured by Mobile Phones Using Local Window of Adaptive Location and Size,” IEEE Transactions on Image Processing, vol. 21, no. 1, pp. 418-425, Jan 2012.

[49]      X. Jiang, "Linear Subspace Learning-Based Dimensionality Reduction," IEEE Signal Processing Magazine, vol. 28, no. 2, pp. 16-26, Mar 2011.

[50]      C. Geng and X. Jiang, “Face Recognition Based on the Multi-scale Local Image Structures,” Pattern Recognition, vol. 44, no. 10-11, pp. 2565-2575, Oct 2011.

[51]      C. Wee, R. Paramesran, R. Mukundan and X. Jiang, “Image Quality Assessment by Discrete Orthogonal Moments,” Pattern Recognition, vol. 43, no. 12, pp. 4055-4068, Dec 2010.

[52]      H. Yang, X. Jiang and A. Kot, “Recent Advances on Documents Authentication based on the Data Hiding and Watermarking Techniques,” Recent Patents on Computer Science, vol. 3, no. 3, pp. 233 - 243, Nov 2010.

[53]      P. Yap, X. Jiang and A. Kot, "Two Dimensional Polar Harmonic Transforms for Invariant Image Representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 7, pp. 1259-1270, Jul 2010. © Codes ©

[54]      B. Mandal, X.D Jiang, H. Eng and A. Kot, “Prediction of Eigenvalues and Regularization of Eigenfeatures for Human Face Verification,” Pattern Recognition Letters, vol. 31, no. 8, pp. 717-724, Jun 2010.

[55]      M. Khan, M. Kamel and X.D Jiang, “Recent Advances and Future Directions in Biometrics,” Journal of Network and Computer Applications, vol. 33, no. 3, pp. 205-206, May 2010.

[56]      X. Jiang, “Asymmetric Principal Component and Discriminant Analyses for Pattern Classification,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 5, pp. 931-937, May 2009.

[57]      M. Liu, X. Jiang and A. Kot, “A Multi-Prototype Clustering Algorithm”, Pattern Recognition, vol. 42, no. 5, pp. 689-698, May 2009.

[58]      W. Yu, X. Jiang and B. Xiong, “Data Preparation for Sample-based Face Detection,” International Journal of Computer Applications in Technology, vol. 35, no. 1, pp. 10-22, Apr 2009.

[59]      N. Sudha, N. Puhan, X. Hua and X. Jiang, “Iris Recognition on Edge Maps,” IET Computer Vision, vol. 3, no. 1, pp. 1-7, Mar 2009.

[60]      X. Jiang, B. Mandal and A. Kot, “Complete Discriminant Evaluation and Feature Extraction in Kernel Space for Face Recognition,” Machine Vision and Applications, vol. 20, no. 1, pp. 35-46, Jan 2009.

[61]      T. Chen, W. Yau and X. Jiang, “Token-Based Fingerprint Authentication,Recent Patents on Computer Science, vol. 2, no. 1, pp. 50-58, Jan 2009.

[62]      B. Mandal, X. Jiang and A. Kot, “Face Verification Using Modeled Eigenspectrum,” The Open Artificial Intelligence Journal, vol. 2, pp. 35-45, Aug 2008.

[63]      X. Jiang, B. Mandal and A. Kot, “Eigenfeature Regularization and Extraction in Face Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 3, pp. 383-394, Mar 2008.

[64]      M. Liu, X. Jiang and A. Kot, “Efficient Fingerprint Search Based on Database Clustering,Pattern Recognition, vol. 40, no. 6, pp. 1793-1803, Jun 2007.

[65]      X. Jiang, “Automated Fingerprint Identification Systems,” Criminal Justice Review, vol. 32, no. 2, pp. 182-183, Jun 2007.

[66]      X. Jiang, “Extracting Image Orientation Feature by Using Integration Operator,” Pattern Recognition, vol. 40, no. 2, pp. 705-717, Feb 2007.

[67]      X. Jiang, M. Liu and A. Kot, “Fingerprint Retrieval for Identification,” IEEE Transactions on Information Forensics and Security, vol. 1, no. 4, pp. 532-542, Dec 2006.

[68]      X. Jiang, B. Mandal and A. Kot, “Enhanced Maximum Likelihood Face Recognition,” Electronics Letters, vol. 42, no. 19, pp. 1089-1090, Sep 2006.

[69]      X. Jiang, “On Orientation and Anisotropy Estimation for Online Fingerprint Authentication,” IEEE Transactions on Signal Processing, vol. 53, no. 10, pp. 4038- 4049, Oct 2005.

[70]      W. Xiong, K.Toh, W. Yau and X. Jiang, “Model-Guided Deformable Hand Shape Recognition Without Positioning Aids,” Pattern Recognition, vol. 38, no. 10, pp. 1651-1664, Oct 2005.

[71]      M. Liu, X. Jiang and A. Kot, “Fingerprint Reference Point Detection,” EURASIP Journal on Applied Signal Processing, vol. 2005, no. 4, pp. 498-509, Apr 2005.

[72]      K. Toh, X. Jiang and W. Yau, “Exploiting Global and Local Decisions for Multi-Modal Biometrics Verification,” IEEE Transactions on Signal processing, vol. 52, no. 10, pp. 3059-3072, Oct 2004.

[73]      K. Toh, W. Yau and X. Jiang, “A Reduced Multivariate Polynomial Model for Multimodal Biometrics And Classifiers Fusion,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 2, pp. 224-233, Feb 2004.

[74]      X. Jiang, “Image Detail-preserving Filter for Impulsive Noise Attenuation,” IEE Proceedings: Vision, Image and Signal Processing, vol. 150, no. 3, pp. 179-185, Jun 2003.

[75]      X. Jiang and A. Kam, “Constructing and Training Feed-Forward Neural Networks for Pattern Classification,” Pattern Recognition, vol. 36, no. 4, pp. 853-867, Apr 2003.

[76]      X. Jiang and W. Ser, “Online Fingerprint Template Improvement,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 8, pp. 1121-1126, Aug 2002.

[77]      X. Jiang, W. Yau and W. Ser, “Detecting the Fingerprint Minutiae by Adaptive Tracing the Gray Level RidgePattern Recognition, vol. 34, no. 5, pp. 999-1013, May 2001.

[78]      X. Jiang and X. Xiao, “VLMS Adaptive AlgorithmActa Electronica Sinica, vol.16, no. 2, pp. 87-91, Mar 1988. (ISSN 0372-2112). [in Chinese]

[79]      X. Jiang and X. Xiao, “LMS Algorithm and Adaptive Signal Classification”, Journal of Electronic Warfare, vol. 1, no. 2, pp. 37-44, Jun 1986. [in Chinese]

 

Selected Conference Papers

[80]       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.

[81]       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.

[82]       J. Weng, D. Luo, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang, X. Jiang, J. Yuan, “Temporal Distinct Representation Learning for 2D-CNN-based Action Recognition,” European Conference on Computer Vision (ECCV’20), Aug 2020.

[83]       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.

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

[85]       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.

[86]       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.

[87]       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.

[88]       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.

[89]       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.

[90]       S. Luo, K. Nguyen, X. Jiang, etl, “A High Performance of Single Cell Imaging Detection with Deep Learning,” IEEE Int. Conf. on Image, Vision and Computing (ICIVC), pp. 356-360, Jul 2019.

[91]       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

[92]       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.

[93]       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

[94]       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.

[95]       M. Hu, etc, Differential Amplitude of Low-Frequency Fluctuations in brain networks after BCI Training with and without tDCS in Stroke,Annual Int. Conf. of IEEE Engineering in Medicine and Biology Society (EMBC’18), Jul 2018.

[96]       J, Ren and X. Jiang, “Radar Micro-Doppler Signature Analysis and Its Application on Gait Recognition,” SPIE, Third Int. Workshop on Pattern Recognition, May 2018.

[97]       X. Wang and X. Jiang, “Post-processing for retinal vessel detection,” SPIE Int. Conf. Digital Image Processing (ICDIP), May 2018.

[98]      Z. Yu, X. Jiang, T. Wang and B. Lei, "Aggregating Deep Convolutional Features for Melanoma Recognition in Dermoscopy Images,” Int. Workshop on Machine Learning in Medical Imaging, pp 238-246, Quebec City, Canada, Sep 2017.

[99]      X. Wang and X. Jiang, “Enhancing Retinal Vessel Segmentation By Color Fusion,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 891 – 895, New Orleans, USA, Mar 2017.

[100]   Z. Lu, X. Jiang and A. Kot, “A Novel Lbp-Based Color Descriptor For Face Recognition,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 1857 – 1861, New Orleans, USA, Mar 2017.

[101]   Z. Miao, K. Yap, X. Jiang, S. Sinduja and Z. Wang, “Laplace Gradient based Discriminative and Contrast Invertible Descriptor,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 1842 – 1846, New Orleans, USA, Mar 2017.

[102]   X. Wang and X. Jiang, “Nonlinear Retinal Image Enhancement for Vessel Detection,” SPIE 10420, Int. Conf. Digital Image Processing (ICDIP), Hong Kong, May 2017.

[103]   Z. Lu, X. Jiang and A. Kot, “Enhance Deep Learning Performance in Face Recognition,” Int. Conf. Image, Vision and Computing (ICIVC), pp. 244-248, Chengdu, Jun 2017.

[104]   J, Ren, X.D, Jiang, and J. Yuan, “Sound-Event Classification Using Pseudo-Color CENTRIST Feature and Classifier Selection,” SPIE 10011, First Int. Workshop on Pattern Recognition, Tokyo, Japan, Jul 2016.

[105]   Z. Lu, X. Jiang and A. Kot, “An Effective Color Space for Face Recognition,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 2019 – 2023, Shanghai, Mar 2016.

[106]   J. Ji, X. Jiang and W. Sun, “Shadow Detection Using Double-Threshold Pulse Coupled Neural Networks,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 1971 – 1975, Shanghai, Mar 2016.

[107]   J. Ren, X. Jiang and J. Yuan, “Quantized Fuzzy LBP For Face Recognition,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 1503 - 1507, Brisbane, Australia, Apr 2015.

[108]   Z. Zuo, G. Wang, B. Shuai, L. Zhao, Q. Yang and X.D Jiang, “Learning Discriminative and Shareable Features for Scene Classification,” European Conference on Computer Vision, (ECCV), Zürich, Switzerland, Sep 2014.

[109]   J. Lai, X. Jiang, “Supervised Trace Lasso for Robust Face Recognition,” IEEE Int. Conf. Multimedia and Expo. (ICME), Chengdu, China, Jul 2014.

[110]   J. Lai, X. Jiang, “Discriminative Sparsity Preserving Embedding for Face Recognition,” IEEE Int. Conf. Image Processing (ICIP), pp. 3695-3699, Melbourne, Australia, Sep 2013.

[111]   J. Ren, X. Jiang and J. Yuan, “Learning Binarized Pixel-difference Pattern for Scene Recognition,” IEEE Int. Conf. Image Processing (ICIP), pp. 2494 - 2498, Melbourne, Australia, Sep 2013.

[112]   A. Satpathy, X. Jiang and H. Eng, “Visual Object Detection by Parts-based Modeling Using Extended Histogram of Gradients,” IEEE Int. Conf. Image Processing (ICIP), pp. 2738 - 2742, Melbourne, Australia, Sep 2013.

[113]   J. Ren, X. Jiang and J. Yuan, “Relaxed Local Ternary Pattern for Face Recognition,” IEEE Int. Conf. Image Processing (ICIP), pp. 3680-3684, Melbourne, Australia, Sep 2013.

[114]   Z. Miao and X. Jiang, “A Vote of Confidence Based Interest Point Detector,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 1459 - 1463, Vancouver, Canada, May 2013.

[115]   J. Lai and X. Jiang, “Robust Face Recognition Using Trimmed Linear Regression,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 2979 - 2983, Vancouver, Canada, May 2013.

[116]   A. Satpathy, X. Jiang and H. Eng, “Human Detection Using Discriminative and Robust Local Binary Pattern,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 2376 - 2380, Vancouver, Canada, May 2013.

[117]   J. Ren, X. Jiang and J. Yuan, “Dynamic Texture Recognition Using Enhanced LBP Features IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 2400 - 2404, Vancouver, Canada, May 2013.

[118]   C. Geng, X. Jiang, “Face Alignment Based on The Multi-Scale Local Features,” IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 1517 - 1520, Kyoto, Japan, Mar 2012.

[119]   Z. Miao, X. Jiang, “A Novel Rank Order LoG Filter for Interest Point Detection,” IEEE  Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 937-940, Kyoto, Japan, Mar 2012.

[120]   J. Ren, X. Jiang and J. Yuan, "A Fast and Accurate Cascade Subspace Face/Eye Detector on Mobile Devices," International Conference on Computer Vision (ICCV2011), Workshop on Mobile Vision, pp. 84--91,  Barcelona, Spain,  Nov 2011.

[121]   A. Satpathy, X. Jiang and H. Eng, “Extended Histogram of Gradients with Asymmetric Principal Component and Discriminant Analyses for Human Detection,” Canadian Conf. Computer and Robot Vision (CRV), pp. 64--71, St. John's, Canada, May 2011.

[122]   H. Yang, X. Jiang and A. Kot, “Accurate Localization of Four Extreme Corners for Barcode Images Captured by Mobile Phones,” IEEE International Conference on Image Processing (ICIP), pp. 3897–3900, Hong Kong, Sep 2010.

[123]   A. Satpathy, X. Jiang and H. Eng, “Extended Histogram of Gradients Feature for Human Detection,” IEEE International Conference on Image Processing (ICIP), pp. 3473–3476, Hong Kong, Sep 2010.

[124]   H. Yang, A. Kot and X. Jiang, “Dynamic Window Construction for the Binarization of Barcode Images Captured by Mobile Phones,” IEEE International Conference on Image Processing (ICIP), pp. 3001–3004, Hong Kong, Sep 2010.

[125]   H. Yang, X. Jiang and A. Kot, “Image Watermarking Using Dual-Tree Complex Wavelet by Coefficients Swapping and Group of Coefficients Quantization,” IEEE International Conference on Multimedia and Expo. (ICME), pp. 1673–1678, Singapore, Jul 2010.

[126]   C. Wee, X. Jiang, A. Kot and R. Paramesran, “Quantifying Image Distortions Using SVD,” 5th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 381–386, Taichung, Jun 2010.

[127]   H. Yang, A. Kot and X. Jiang, “Knowledge Guided Adaptive Binarization for 2D Barcode Images Captured by Mobile Phones”, IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1046 - 1049, Texas, USA, Mar 2010.

[128]   J. Ren and X. Jiang, “Eye Detection Based on Rank Order Filter,” IEEE 7th International Conference on Information, Communications and Signal Processing, Macau, Dec 2009.

[129]   C. Geng and X. Jiang, “Face Recognition Using SIFT Features,” IEEE Int. Conf. Image Processing (ICIP), pp. 3313–3316, Cairo, Egypt, Nov 2009.

[130]   J. Ren and X. Jiang, “Fast Eye Localization Based on Pixel Differences,” IEEE Int. Conf. Image Processing (ICIP), pp. 2733 – 2736, Cairo, Egypt, Nov 2009.

[131]   H. Yang, X. Jiang and A. Kot, “Generating Secure Cancelable Fingerprint Templates Using Local and Global Features,” IEEE Int. Conf. Computer Science and Information Technology, pp.645-649, Beijing, Aug 2009.

[132]   X. Jiang , “Feature Extraction for Image Recognition and Computer VisionIEEE Int. Conf. Computer Science and Information Technology, pp.1-15, Keynote Speech, Beijing, Aug 2009.

[133]   C. Geng and X. Jiang, “SIFT Features for Face RecognitionIEEE Int. Conf. Computer Science and Information Technology, pp.598-602, Beijing, Aug 2009.

[134]   B. Mandal, X. Jiang and A. Kot, “Verification of Human Faces Using Predicted Eigenvalues,” Int. Conf. Pattern Recognition (ICPR), vol. 1-6, pp. 1442-1445 Tampa, Florida, USA, Dec 2008. Best Biometrics Student Paper Award from International Association of Pattern Recognition (IAPR)

[135]   P. Yap, X. Jiang and A. Kot, “Boosted Complex Moments for Discriminant Rotation Invariant Object Recognition,” International Conference on Pattern Recognition (ICPR), vol. 1-6, pp. 2482-2485, Tampa, Florida, USA, Dec 2008.

[136]   A. Satpathy, H. Eng and X. Jiang, “Difference of Gaussian Edge-Texture Based Background Modeling for Dynamic Traffic Conditions”, 4th International Symposium on Visual Computing (ISVC), LNCS 5358 pp. 406–417, Las Vegas, Nevada, USA, Dec 2008.

[137]   Q. Sun, Z. Li, X. Jiang, A. Kot,An Interactive and Secure User Authentication Scheme for Mobile Devices,IEEE International Symposium on Circuits and Systems (ISCAS) pp. 2973-2976, Washington, USA, May 2008.

[138]   P. Yap, X. Jiang and A. Kot, “LDA Enhanced Moments,IEEE Sixth International Conference on Information, Communications and Signal Processing, Singapore, Dec 2007.

[139]   N. Puhan, N. Sudha and X. Jiang, “Robust Eyeball Segmentation in Noisy Iris Images using Fourier Spectral Density,” IEEE Sixth International Conference on Information, Communications and Signal Processing, Singapore, Dec 2007.

[140]   N. Sudha, N. Puhan, X. Hua and X. Jiang, “Local Partial Hausdorff Distance Measure Based on Binary Feature for Iris Recognition”, Third Indian International Conference on Artificial Intelligence, pp. 621-629,  Pune, India, Dec 2007.

[141]   B. Mandal, X. Jiang and A. Kot, “Dimensionality Reduction in Subspace Face Recognition,” IEEE Sixth International Conference on Information, Communications and Signal Processing, Singapore, Dec 2007.

[142]   N. Sudha, N. Puhan, X. Hua and X. Jiang, “Iris Recognition on Edge Maps,” IEEE Sixth International Conference on Information, Communications and Signal Processing, Singapore, Dec 2007.

[143]   X. Jiang, “Problems of Holistic Face Recognition and Solutions,” Asian Biometrics Consortium Conference and Exhibition 2007, Invited paper, Singapore, Sep 2007.

[144]   M. Liu, X. Jiang and A. Kot, “Database Clustering Based on Multi-prototype Representation of Cluster,” IEEE International Conference on Multimedia & Expo (ICME), pp. 2198-2201, Jul 2007.

[145]   H. Yang, A. Kot, S. Rahardja and X. Jiang, “High Capacity Data Hiding for Binary Images in Morphological Wavelet Transform Domain,” IEEE International Conference on Multimedia & Expo (ICME), pp. 1239-1242, Jul 2007.

[146]   B. Mandal, X. Jiang and A. Kot, “Kernel Fisher Discriminant Analysis in Full Eigenspace,” International Conference on Image Processing, Computer Vision, and Pattern Recognition, pp. 235-241, Las Vegas, USA, Jun 2007.

[147]   X. Jiang, B. Mandal, and A. Kot, “Face Recognition Based On Discriminant Evaluation in the Whole Space,” IEEE International Conference on Acoustics, Speech, And Signal Processing (ICASSP), vol. 2, pp. 245-248, Hawaii, USA, Apr 2007.

[148]   M. Liu, X. Jiang and A. Kot, “Fingerprint Retrieval by Complex Filter Responses,” International Conference on Pattern Recognition (ICPR), Hong Kong, Aug 2006.

[149]   B. Mandal, X. Jiang and A. Kot, “Multi-scale Feature Extraction for Face Recognition,” IEEE Conference on Industrial Electronics and Applications, Singapore, May 2006.

[150]   X. Jiang, M. Liu and A. Kot, “Fingerprint Identification with Exclusive and Continuous Classification,” IEEE Conference on Industrial Electronics and Applications, Singapore, May 2006.

[151]   X. Jiang, P. Mandal and A. Kot, “Improved Bayesian Approach for Face Recognition,” IEEE Fifth International Conference on Information, Communications and Signal Processing, pp. 162–166, Bangkok, Dec 2005.

[152]   M. Liu, X. Jiang and A. Kot, “Nonlinear Fingerprint Orientation Smoothing by Median Filter,” IEEE Fifth International Conference on Information, Communications and Signal Processing, pp. 1439-1443 Bangkok, Dec 2005.

[153]   K. Toh, X. Jiang and W. Yau, “Relaxation of Hard Classification Targets for LSE MinimizationFifth International workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), St. Augustine, FL, USA, Nov 2005, Lecture Notes in Computer Science, LNCS 3757, pp. 187-202).

[154]   L. Jiang, A. Yeo, X. Jiang and Z. Lu, “Frontal infrared human face detection by distance from centroid method,IEEE International Symposium on Intelligent Multimedia, Video and Speech Processing, Hong Kong, pp. 41–44, Oct 2004.

[155]   T. Chen, X. Jiang and W. Yau, “Fingerprint Image Quality Analysis,” IEEE International Conference on Image Processing (ICIP), vol. 2, pp. 1253–1256, Singapore, Oct 2004.

[156]   E. Lim, K. Toh, P. Suganthan, X. Jiang and W. Yau, “Fingerprint Image Quality Analysis,” IEEE International Conference on Image Processing (ICIP), vol. 2, pp. 1241–1244, Singapore, Oct 2004.

[157]   X. Jiang, M. Liu and A. Kot, “Reference Point Detection for Fingerprint Recognition,” International Conference on Pattern Recognition (ICPR), vol. 1, pp. 540 – 543, Cambridge, U.K., Aug 2004.

[158]   K. Toh, X. Jiang and W. Yau, “A Hyperbolic Function Model for Multiple Biometrics Decision Fusion,” International Conference on Biometric Authentication,  Lecture Notes in Computer Science, Biometric Authentication, LNCS 3072, pp. 655-662, Jul 2004.

[159]   M. Liu, X. Jiang and A. Kot, “Fingerprint Reference Point Detection,” International Conference on Biometric Authentication, Lecture Notes in Computer Science, Biometric Authentication, LNCS 3072, pp. 272-279,  Jul 2004.

[160]   K. Toh, W. Yau and X. Jiang, “Multiple Biometrics And Decision Fusion,” in Proceedings of the Biometrics and Security Workshop held in conjunction with the Symposium on Cryptography and Information Security, pp.471-476, Japan, Jan 2004.

[161]   K. Toh, W. Yau and X. Jiang, “Multi-modal Biometrics Decision Fusion,” Asian Biometric Workshop, Singapore, Dec 2003 (invited paper)

[162]   K. Toh, W. Xiong, W. Yau and X. Jiang, “Combining Fingerprint and Hand-Geometry Verification Decisions,” 4th International Conference on Audio- and Video-Based Biometric Person Authentication, Guildford, UK, Lecture Notes in Computer Science LNCS vol. 2688, pp. 688-696, Jun 2003.

[163]   H. Lu, X. Jiang and W. Yau “Effective and Efficient Fingerprint Image Postprocessing,” 7th International Conference on Control, Automation, Robotic and Vision, vol. 2, pp. 985-989, Singapore, Dec 2002 (invited paper).

[164]   E. Lim, X. Jiang and W. Yau,Fingerprint Quality And Validity Analysis,” Proc. IEEE International Conference on Image Processing (ICIP), vol. I. pp. 469-472, New York, USA, Sep 2002.

[165]   X. Jiang, “A Study of Fingerprint Image Filtering,” IEEE International Conference on Image Processing (ICIP), vol. 3, pp. 238-241, Thessaloniki, Greece, Oct 2001.

[166]   K. Toh, W. Yau, X. Jiang, T. Chen, J. Lu, and E. Lim, “Minutiae Data Synthesis for Fingerprint Identification Application,” Proc. IEEE International Conference on Image Processing (ICIP), vol. 3, pp. 262-265, Thessaloniki, Greece, Oct 2001.

[167]   W. Yau, K. Toh, X. Jiang, C. Pang and J. Lu, “On Fingerprint Template Synthesis,” Proc. 6th International Conference on Control, Automation, Robotics and Vision, Singapore, Dec 2000.

[168]   X. Jiang and W. Yau,Fingerprint Minutiae Matching Based on the Local And Global Structures”, Proc. 15th International Conference on Pattern Recognition (ICPR), vol. 2, pp. 1038-1041, Barcelona, Spain, Sep 2000.

[169]   X. Jiang, “Fingerprint Image Ridge Frequency Estimation by Higher Order Spectrum”, Proc. IEEE International Conference on Image Processing (ICIP), vol. I, pp. 462-465, Vancouver, Canada, Sep 2000.

[170]   X. Jiang, Fundamental Frequency Estimation By Higher Order Spectrum”, Proc. IEEE International Conference on Acoustics, Speech, And Signal Processing (ICASSP), Vol. I, pp. 253-256, Istanbul, Turkey, Jun 2000.

[171]   X. Jiang, W. Yun Yau and W. Ser,Fingerprint Image Processing for Automatic Verification”, Proc. IEEE Second International Conference on Information, Communication & Signal Processing, Singapore, Dec 1999.

[172]   X. Jiang, “A Novel Fast Constructive Algorithm for Neural Classifier”, Proc. IEEE Second International Conference on Information, Communication & Signal Processing, Singapore, Dec 1999.

[173]   W. Yau, X. Jiang and W. Ser, Enhancing Oriented Pattern Using Adaptive Directional FFT Filter”, Proc. IEEE Second International Conference on Information, Communication & Signal Processing, Singapore, Dec 1999.

[174]   X. Jiang, W. Yau and W. Ser, “Minutiae Extraction by Adaptive Tracing the Gray Level Ridge of the Fingerprint Image”, Proc. IEEE Sixth International Conference on Image Processing (ICIP), vol. 2, pp. 852-856, Kobe, Japan, 1999.

[175]   X. Jiang and H. Stein, "Locally and Globally Training Neural Networks for Pattern Recognition", Proc. 19th DAGM (German Association for Pattern Recognition)-Symposium, Pattern Recognition, pp. 121-128, Braunschweig, Germany, Sep 1997. [in German]

[176]   X. Jiang and H. Stein, "Fault Diagnosis Using the Neural Networks," Proc. 40. International Scientific Conference, Vol. 4, pp. 636-641, Ilmenau, Germany, Sep 1995. [in German]

 

Selected Book Chapters and others

[177]   J. Ren, X. Jiang and J Yuan, “Face and Facial Expressions Recognitions Using Noise-Resistant Local Binary Pattern”, Context Aware Human-Robot and Human-Agent Interaction, pp 3-29, DOI: 10.1007/978-3-319-19947-4_1, ISBN 978-3-319-19947-4, Springer, 2016.

[178]   T. Chen, W. Yau and X. Jiang, Biometrics on Smartcard, Biometrics from Fiction to Practice, pp. 149-163, ISBN: 9789814310888, Pan Standford Publishing, 2013.

[179]   M. Liu, X. Jiang, A. Kot and P.T. Yap, "Application of Polar Harmonic Transforms to Fingerprint Classification," Emerging Topics in Computer Vision and Its Applications, pp. 297-312, ISBN: 978-981-4340-99-1, World Scientific, Sep 2011.

[180]   H. Yang, X. Jiang and A. Kot, "Embedding Binary Watermarks in Dual-Tree Complex Wavelets Domain for Access Control of Digital Images," Transactions on Data Hiding and Multimedia Security VI, pp. 18-36, ISBN: 978-3-642-14297-0, Springer, Nov. 2011.

[181]   X. Jiang, “Fingerprint Classification,” Encyclopedia of Biometrics, pp. 439-446, ISBN: 978-0-387-73004-2, Springer, August 2009.

[182]   T. Chen, W. Yau and X. Jiang, “On-card Matching,” Encyclopedia of Biometrics, pp. 1014-1021, ISBN: 978-0-387-73004-2, Springer, August 2009.

[183]   X. Jiang and J. Lai, “Face Recognition by Sparse And Dense Hybrid Representation via Dictionary Decomposition,” IEEE Biometrics Council Newsletter, vol. 13, pp. 4-5, October 2014.

 

Patents

Granted United States patents:

[184]   W. Ser, X. Jiang and W. Yau, “Method and device for computer-based processing a template minutia set of a fingerprint and a computer readable storage medium,” United States Patent, No. 7369688, May 6, 2008.

[185]   W. Yau, K. Toh and X. Jiang, “Method and device for determining a total minutiae template from a plurality of partial minutiae templates,” United States Patent, No. 7236617, June 26, 2007.

[186]   X. Jiang, W. Yau and W. Ser, “Two-stage local and global fingerprint matching technique for automated fingerprint verification/identification,” United States Patent No. 6778685, August 17, 2004.

Granted European patent:

[187]   W. Yau, X. Jiang and W. Ser, Fingerprint sensing apparatus,” European patent, No. 1221130, May, 03, 2006.

Granted Singapore patents:

[188]   W. Yau, K. Toh and X. Jiang, “Method and device for determining a total minutiae template from a plurality of partial minutiae templates,” Singapore Patent, No. 92214, July 31, 2006.

[189]   W. Yau, X. Jiang and W. Ser, “Fingerprint sensing apparatus,” Singapore Patent, No. 86809, Feb. 27, 2004.

[190]   X. Jiang, W. Yau and W. Ser, “Two-stage local and global fingerprint matching technique for automated fingerprint verification/identification,” Singapore Patent, No. 67584, June 14, 2002.

Granted China patent:

[191]   W. Yau, X. Jiang, E. Lim and K. Toh, Method for Synthesizing a Minutiae Template and Increasing Reliability of Fingerprint Matching Using a Fingerprint Sensor with Small Sensor Area,” Chinese Patent ZL 02 8 28599, June 31, 2008.

 

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