Ivor W. Tsang, IEEE Fellow

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Citations	29186	17015
h-index	76	58
i10-index	221	178

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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
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk
Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief Scientist, FIEEEVerified email at ntu.edu.sg
Lixin DuanData Intelligence Group (DIG) @ UESTCVerified email at uestc.edu.cn
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 (周天異)Principal Scientist, A*STAR CFARVerified email at cfar.a-star.edu.sg
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at riken.jp
Shenghua GaoProfessor, ShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Xingrui YuPh.D Student, University of Technology Sydney (UTS)Verified email at student.uts.edu.au
Weiwei Liu(刘威威)Professor, School of Computer Science, Wuhan University, ChinaVerified email at whu.edu.cn
Quanming YaoAssistant Professor, EE Department, Tsinghua UniversityVerified email at tsinghua.edu.cn
Li WangUniversity of Texas at ArlingtonVerified email at uta.edu
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 cfar.a-star.edu.sg - Homepage

Statistical Machine Learning AI4Science Sustainable AI Transfer Learning Feature Selection


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A class of single-class minimax probability machines for novelty detection JT Kwok, IWH Tsang, JM Zurada IEEE transactions on neural networks 18 (3), 778-785, 2007	37	2007
A convergence path to deep learning on noisy labels D Liu, IW Tsang, G Yang IEEE Transactions on Neural Networks and Learning Systems 35 (4), 5170-5182, 2022	4	2022
A convex method for locating regions of interest with multi-instance learning YF Li, JT Kwok, IW Tsang, ZH Zhou Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009	113	2009
A data-analytics approach for enterprise resilience D Xu, IW Tsang, EK Chew, C Siclari, V Kaul IEEE Intelligent Systems 34 (3), 6-18, 2019	17	2019
A deep learning framework for hybrid heterogeneous transfer learning JT Zhou, SJ Pan, IW Tsang Artificial Intelligence 275, 310-328, 2019	53	2019
A family of simple non-parametric kernel learning algorithms J Zhuang, IW Tsang, SCH Hoi The Journal of Machine Learning Research 12, 1313-1347, 2011	78	2011
A Feature Selection Method for Multivariate Performance Measures Q Mao, I Tsang Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2013	70	2013
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization F Ye, B Lin, X Cao, Y Zhang, I Tsang arXiv preprint arXiv:2401.09257, 2024	1	2024
A framework to manage data science initiatives S Mathur, S Sankaran, S Macaulay, I Tsang PMI Research and Academic Conference 2021, 2021	1	2021
A hybrid PSO-BFGS strategy for global optimization of multimodal functions S Li, M Tan, IW Tsang, JTY Kwok IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011	109	2011
A Large-Scale Video Dataset for Moving Camouflaged Animals Understanding TA Vu, Z Zheng, Q Guo, I Tsang, SK Yeung
A multi-view multi-task learning framework for multi-variate time series forecasting J Deng, X Chen, R Jiang, X Song, IW Tsang IEEE Transactions on Knowledge and Data Engineering 35 (8), 7665-7680, 2022	24	2022
A novel regularized principal graph learning framework on explicit graph representation Q Mao, L Wang, IW Tsang, Y Sun arXiv preprint arXiv:1512.02752, 2015	3	2015
A Preliminary Authors’ Reply to the “Comments on the Core Vector Machines: Fast SVM Training on Very Large Data Sets” IW Tsang, JT Kwok		2007
A semi-supervised framework for feature mapping and multiclass classification B Chen, W Lam, I Tsang, TL Wong Proceedings of the 2009 SIAM International Conference on Data Mining, 341-352, 2009	1	2009
A Simple Sparse Denoising Layer for Robust Deep Learning Y Lyu, X Yu, I Tsang
A Split-Merge Framework for Comparing Clusterings Q Xiang, Q Mao, KM Chai, HL Chieu, I Tsang, Z Zhao Proceedings of the 29th International Conference on Machine Learning, 2012	12	2012
A survey of label-noise representation learning: Past, present and future B Han, Q Yao, T Liu, G Niu, IW Tsang, JT Kwok, M Sugiyama arXiv preprint arXiv:2011.04406, 2020	150	2020
A survey of learning on small data: generalization, optimization, and challenge X Cao, W Bu, S Huang, M Zhang, IW Tsang, YS Ong, JT Kwok arXiv preprint arXiv:2207.14443, 2022	1	2022
A unified feature selection framework for graph embedding on high dimensional data M Chen, IW Tsang, M Tan, TJ Cham IEEE Transactions on Knowledge and Data Engineering 27 (6), 1465-1477, 2014	33	2014

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