Ivor W. Tsang, IEEE Fellow

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James T. KwokProfessor of Computer Science and Engineering, Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
Dong Xu, Professor & IEEE FellowUniversity of Hong KongVerified email at hku.hk
Lixin DuanData Intelligence Group (DIG) @ UESTCVerified email at uestc.edu.cn
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk
Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief ScientistVerified email at ntu.edu.sg
Sinno Jialin PanThe Chinese University of Hong KongVerified email at cuhk.edu.hk
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Joey Tianyi Zhou (周天异)Investigator(Principal Scientist), A*STAR CFARVerified email at cfar.a-star.edu.sg
Shenghua GaoProfessor, ShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at riken.jp
Weiwei Liu(刘威威)Professor, School of Computer Science, Wuhan University, ChinaVerified email at whu.edu.cn
Xingrui YuPh.D Student, University of Technology Sydney (UTS)Verified email at student.uts.edu.au
Li WangUniversity of Texas at ArlingtonVerified email at uta.edu
Quanming YaoAssistant Professor, EE Department, Tsinghua UniversityVerified email at tsinghua.edu.cn
Xiaobo ShenNanjing University of Science and TechnologyVerified email at njust.edu.cn
Wen LiData Intelligence Group, UESTCVerified email at uestc.edu.cn
Jiebo LuoAlbert Arendt Hopeman Professor of Engineering, University of RochesterVerified email at cs.rochester.edu
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk
Feiping NieOPTIMALVerified email at mails.tsinghua.edu.cn
Xinxing XuScientist, Institute of High Performance Computing (IHPC), A*STAR, SingaporeVerified email at ntu.edu.sg

Ivor W. Tsang, IEEE Fellow

Inaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STAR

Verified email at ihpc.a-star.edu.sg - Homepage

Statistical Machine Learning Sustainable AI Kernel Methods Transfer Learning Feature Selection


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Domain adaptation via transfer component analysis SJ Pan, IW Tsang, JT Kwok, Q Yang IEEE transactions on neural networks 22 (2), 199-210, 2010	4244	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	1741	2018
Core vector machines: Fast SVM training on very large data sets. IW Tsang, JT Kwok, PM Cheung, N Cristianini Journal of Machine Learning Research 6 (4), 2005	1367	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	626	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	595	2012
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	562	2010
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	517	2010
The pre-image problem in kernel methods JTY Kwok, IWH Tsang Neural Networks, IEEE Transactions on 15 (6), 1517-1525, 2004	495	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	492	2011
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	455	2013
Kernel sparse representation for image classification and face recognition S Gao, IWH Tsang, LT Chia Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010	453	2010
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	426	2008
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	404	2013
Learning with augmented features for heterogeneous domain adaptation L Duan, D Xu, I Tsang Proceedings of the 29th International Conference on Machine Learning, 2012	404	2012
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	381	2009
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	375	2013
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	353	2012
Domain transfer svm for video concept detection L Duan, IW Tsang, D Xu, SJ Maybank 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1375-1381, 2009	350	2009
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	334	2011
Simpler core vector machines with enclosing balls IW Tsang, A Kocsor, JT Kwok Proceedings of the 24th international conference on Machine learning, 911-918, 2007	276	2007

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