| Domain adaptation via transfer component analysis SJ Pan, IW Tsang, JT Kwok, Q Yang IEEE transactions on neural networks 22 (2), 199-210, 2010 | 5573 | 2010 |
| Co-teaching: Robust training of deep neural networks with extremely noisy labels B Han, Q Yao, X Yu, G Niu, M Xu, W Hu, I Tsang, M Sugiyama Advances in neural information processing systems 31, 2018 | 2978 | 2018 |
| Core vector machines: Fast SVM training on very large data sets. IW Tsang, JT Kwok, N Cristianini Journal of Machine Learning Research 6 (4), 2005 | 1471 | 2005 |
| How does disagreement help generalization against label corruption? X Yu, B Han, J Yao, G Niu, I Tsang, M Sugiyama International conference on machine learning, 7164-7173, 2019 | 1149 | 2019 |
| Domain transfer multiple kernel learning L Duan, IW Tsang, D Xu IEEE transactions on pattern analysis and machine intelligence 34 (3), 465-479, 2012 | 628 | 2012 |
| Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction F Nie, D Xu, IWH Tsang, C Zhang IEEE Transactions on Image Processing 19 (7), 1921-1932, 2010 | 575 | 2010 |
| Local features are not lonely–Laplacian sparse coding for image classification S Gao, IWH Tsang, LT Chia, P Zhao 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 574 | 2010 |
| Learning with augmented features for supervised and semi-supervised heterogeneous domain adaptation W Li, L Duan, D Xu, IW Tsang IEEE Transactions on Pattern analysis and machine intelligence 36 (6), 1134-1148, 2013 | 541 | 2013 |
| The pre-image problem in kernel methods JTY Kwok, IWH Tsang Neural Networks, IEEE Transactions on 15 (6), 1517-1525, 2004 | 522 | 2004 |
| Visual event recognition in videos by learning from web data L Duan, D Xu, IWH Tsang, J Luo IEEE Transactions on pattern analysis and machine intelligence 34 (9), 1667-1680, 2011 | 494 | 2011 |
| Improved Nyström low-rank approximation and error analysis K Zhang, IW Tsang, JT Kwok Proceedings of the 25th international conference on Machine learning, 1232-1239, 2008 | 467 | 2008 |
| Kernel sparse representation for image classification and face recognition S Gao, IWH Tsang, LT Chia European conference on computer vision, 1-14, 2010 | 464 | 2010 |
| Learning with augmented features for heterogeneous domain adaptation L Duan, D Xu, I Tsang Proceedings of the 29th International Conference on Machine Learning, 2012 | 463 | 2012 |
| The emerging trends of multi-label learning W Liu, H Wang, X Shen, IW Tsang IEEE transactions on pattern analysis and machine intelligence 44 (11), 7955 …, 2021 | 459 | 2021 |
| Region-based saliency detection and its application in object recognition Z Ren, S Gao, LT Chia, IWH Tsang IEEE Transactions on Circuits and Systems for Video Technology 24 (5), 769-779, 2013 | 436 | 2013 |
| Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications S Gao, I Tsang, L Chia Pattern Analysis and Machine Intelligence, IEEE Transactions, 1-1, 2013 | 415 | 2013 |
| Domain adaptation from multiple sources via auxiliary classifiers L Duan, IW Tsang, D Xu, TS Chua Proceedings of the 26th annual international conference on machine learning …, 2009 | 409 | 2009 |
| Domain Adaptation from Multiple Sources: A Domain-Dependent Regularization Approach L Duan, D Xu, IWH Tsang Neural Networks and Learning Systems, IEEE Transactions on 23 (3), 504 - 518, 2012 | 398 | 2012 |
| Spectral embedded clustering: A framework for in-sample and out-of-sample spectral clustering F Nie, Z Zeng, IW Tsang, D Xu, C Zhang IEEE Transactions on Neural Networks 22 (11), 1796-1808, 2011 | 369 | 2011 |
| Survey on multi-output learning D Xu, Y Shi, IW Tsang, YS Ong, C Gong, X Shen IEEE transactions on neural networks and learning systems 31 (7), 2409-2429, 2019 | 360 | 2019 |
James T. KwokProfessor of Computer Science and Engineering, Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
