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Data Science, Machine Learning, and Optimization
- Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method
Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex Kot, 19 Nov 2021, IEEE Internet of Things Journal
- Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
Yufei Wang, Haoliang Li, Lap-pui Chau, Alex C. Kot, 20-24 Oct 2021, ACM Multimedia 2021 (ACMM)
- AI-GAN: Attack-Inspired Generation of Adversarial Examples
Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex C. Kot, 19-22 Sept 2021, IEEE Internet of Things Journal
- DisP+V: A Unified Framework for Disentangling Prototype and Variation from Single Sample per Person
Meng Pang, Binghui Wang, Mang Ye, Yiu-ming Cheung, Yiran Chen, Bihan Wen, 2021 IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- Deep Learning Based Joint Detection for OFDM-NOMA Scheme
Yihang Xie, Kah Chan Teh, Alex C. Kot, 2021 IEEE Communications Letters
- VD-GAN: A Unified Framework for Joint Prototype and Representation Learning from Contaminated Single Sample per Person
Meng Pang, Binghui Wang, Yiu-ming Cheung, Yiran Chen, Bihan Wen, 2021 IEEE Transactions on Information Forensics and Security (TIFS)
- Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
Haoliang Li, Yufei Wang, Renjie Wan, Shiqi Wang, Tie-Qing Li, Alex C. Kot, 2020 Conference on Neural Information Processing Systems (NeurIPS)
- Improving Robustness of DNNs against Common Corruptions via Gaussian Adversarial Training
Chenyu Yi, Haoliang Li, Renjie Wan, Alex C. Kot, 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)
- Unsupervised Domain Adaptation in the Wild via Disentangling Represention Learning
Haoliang Li, Renjie Wan, Siqi Wang, Alex C. Kot, 2020 International Journal of Computer Vision (IJCV)
- Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection
Zhonghua Wu, Qingyi Tao, Guosheng Lin, Jianfei Cai, 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- A Hybrid Structural Sparse Error Model for Image Deblocking
Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Ce Zhu, Bihan Wen, 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- Heterogeneous Domain Generalization via Domain Mixup
Yufei Wang, Haoliang Li, Alex C. Kot, 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- Pruning 3D Filters for Accelerating 3D ConvNets
Zhenzhen Wang, Weixiang Hong, Yap-Peng Tan, Junsong Yuan, 2019 IEEE Transactions on Multimedia (TMM)
- Heterogeneous Domain Adaptation via Nonlinear Matrix Factorization
Haoliang Li (NTU), Sinno Jialin Pan (NTU), Shiqi Wang (PKU), Alex C. Kot (NTU), 2019 IEEE Transactions on Neural Networks and Learning Systems
- Hetergeneous oTransfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding
HL Li, S Wang, RJ Wan, Alex Kot, 2019 AAAI, Honolulu, Hawaii, USA
- Inf2vec: Latent Representation Model for Social Influence Embedding
Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Chee Yeow Meng, 2018 IEEE International Conference on Data Engineering (ICDE)
- Deep Representation Learning for Trajectory Similarity Computation
Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, 2018 IEEE International Conference on Data Engineering (ICDE)
- Autoregressive Generative Adversarial Networks
Yasin Yazıcı, Kim-Hui Yap, Stefan Winkler, 2018 Sixth International Conference on Learning Representations (ICLR)
- Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models
Jiuxiang Gu, Jianfei Cai, Shafiq Joty, Li Niu, Gang Wang, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Discovering Pollution Sources and Propagation Patterns in Urban Area
Xiucheng Li, Yun Cheng, Gao Cong, Lisi Chen, 2017 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
- Recent advances in convolutional neural networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang, Jianfei Cai, Tsuhan Chen, Pattern Recognition (PR) 2018, Vol 77 (2018): 354-377
- DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows
Jason Kuen, Xiangfei Kong, Gang Wang, Yap Peng Tan, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- S-CNN: Subcategory-aware convolutional networks for object detection
Chen, Tao, Shijian Lu, and Jiayuan Fan, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)2017
- Improved Network Robustness with Adversary Critic
Alexander Matyasko and Lap-Pui Chau, 2018;Conference on Neural Information Processing Systems
- Zero-Shot Learning via Category-Specific Visual-Semantic Mapping and Label Refinement
Li Niu, Jianfei Cai, Ashok Veeraraghavan, Liqing Zhang, 2018 IEEE Transactions on Image Processing (TIP)
- Brand-Aware Fashion Clothing Search using CNN Feature Encoding and Re-ranking
Dipu Manandhar, Kim Hui Yap, Muhammet Bastan, Zhao Heng, 2018 IEEE International Symposium on Circuits & Systems (ISCAS)
- Domain Generalization with Adversarial Feature Learning
Haoliang Li, Sinno Jialin Pan, Shiqi Wang and Alex C. Kot, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Topic Exploration in Spatio-Temporal Document Collections
Kaiqi Zhao, Lisi Chen, Gao Cong, 2016 ACM SIGMOD/PODS Conference
- Towards Personalized Maps: Mining User Preferences from Geotextual Data
Kaiqi Zhao, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong,2016 42nd Internatiional Conference on Very Large Data Bases (VLDB)
- A System for Region Search and Exploration
Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong, 2016 42nd International Conference on Very Large Data Bases(VLDB)
- Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
Jinghua Wang, Zhenhua Wang, Dacheng Tao, Simon See, Gang Wang, 2016 European Conference on Computer Vision (ECCV)
- Efficient Algorithms for Answering the m-Closest Keywords Query
Tao Guo, Xin Cao, Gao Cong, 2015 Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD)
- Recent Advances in Convolutional Neural Networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Li Wang, Gang Wang, Jianfei Cai, Tsuhan Chen, arXiv preprint, arXIV:1512.07108, 2015
- Visual Product Search for Fashion Domain: From Hand-crafted features to Deep Learning
Huijing Zhan, Yan Wang, Abrar H. Abdulnabi, Sheng Li, Dennis Sng, Alex C. Kot,Simon See, Princess Maha Chakri Sirindhorn Congress Interdisciplinary Approach to Sustainable Research and Developments (INRIT 2015)
- Integrating Parametric and Non-parametric Models For Scene Labeling
Bing Shuai, Gang Wang, Zhen Zuo, Bing Wang, Lifan Zhao, 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)
- Multi-Manifold Deep Learning for Image Set Classification
Jiwen Lu , Gang Wang, Weihong Deng, Pierre Moulin, Jie Zhou, 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)
- Learning Discriminative Hierarchical Features for Object Recognition
Zhen Zuo, Gang Wang, IEEE Signal Processing Letters, Vol.21 (2014), Issue 9, pp.1159 - 1163, January 2014
- Learning Discriminative and Shareable Features for Scene Classification
Zhen Zuo, Gang Wang, Bing Shuai, Lifan Zhao, Qingxiong Yang, Xudong Jiang, 2014 European Conference on Computer Vision (ECCV)
- Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs
Jinpeng Wang, Wayne Xin Zhao, Haitian Wei, Hongfei Yan, Xiaoming Li, Conference on Empirical Methods in Natural Language Processing (EMNLP 2013)
- Recognizing trees at a distance with discriminative deep feature learning
Zhen Zuo, Gang Wang,9th International Conference on Information, Communications and Signal Processing (ICICS 2013)
- One Seed to Find Them All: Mining Opinion Features via Association
Zhen Hai, Kuiyu Chang, Gao Cong, Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM 2012)