Tongliang Liu

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Dacheng TaoNanyang Technological UniversityVerified email at ntu.edu.sg
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk
Mingming GongUniversity of Melbourne & Mohamed bin Zayed University of Artificial IntelligenceVerified email at unimelb.edu.au
Gang NiuSenior Research Scientist (tenured), RIKEN Center for Advanced Intelligence ProjectVerified email at riken.jp
Xiaobo XiaPostdoc, National University of SingaporeVerified email at nus.edu.sg
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
Yuxuan DuNanyang Technological UniversityVerified email at uni.sydney.edu.au
Min-Hsiu HsiehFoxconn Research, Quantum Computing Research CenterVerified email at foxconn.com
Yu YaoLecturer in the University of SydneyVerified email at sydney.edu.au
Jiankang DengImperial College LondonVerified email at imperial.ac.uk
Yingbin BaiThe Australian National UniversityVerified email at anu.edu.au
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Jian-Wei PanUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STARVerified email at cfar.a-star.edu.sg
Steve MaybankEmeritus Professor in the Department of Computer Science, Birkbeck College, LondonVerified email at dcs.bbk.ac.uk
Gabor LugosiICREA and Universitat Pompeu FabraVerified email at upf.edu
Gergely NeuArtificial Intelligence and Machine Learning group, Universitat Pompeu FabraVerified email at upf.edu
Bo AnNanyang Technological UniversityVerified email at ntu.edu.sg
Mohan KankanhalliProfessor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg

Tongliang Liu

Director, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AI

Verified email at sydney.edu.au - Homepage

Machine Learning Learning with Noisy Labels Trustworthy Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Classification with noisy labels by importance reweighting T Liu, D Tao IEEE Transactions on pattern analysis and machine intelligence 38 (3), 447-461, 2015	1019	2015
Deep domain generalization via conditional invariant adversarial networks Y Li, X Tian, M Gong, Y Liu, T Liu, K Zhang, D Tao ECCV 2018, 624-639, 2018	838	2018
On compressing deep models by low rank and sparse decomposition X Yu, T Liu, X Wang, D Tao CVPR 2017, 7370-7379, 2017	540	2017
Multiple Kernel -Means with Incomplete Kernels X Liu, X Zhu, M Li, L Wang, E Zhu, T Liu, M Kloft, D Shen, J Yin, W Gao IEEE transactions on pattern analysis and machine intelligence 42 (5), 1191-1204, 2019	448	2019
Domain adaptation with conditional transferable components M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf ICML 2016, 2839-2848, 2016	418	2016
Are Anchor Points Really Indispensable in Label-Noise Learning? X Xia, T Liu, N Wang, B Han, C Gong, G Niu, M Sugiyama NeurIPS 2019, 6835--6846, 2019	415	2019
Cris: Clip-driven referring image segmentation Z Wang, Y Lu, Q Li, X Tao, Y Guo, M Gong, T Liu CVPR 2022, 11686-11695, 2022	398	2022
Expressive power of parametrized quantum circuits Y Du, MH Hsieh, T Liu, D Tao Physical Review Research 2 (3), 033125, 2020	380	2020
dipIQ: Blind image quality assessment by learning-to-rank discriminable image pairs K Ma, W Liu, T Liu, Z Wang, D Tao IEEE Transactions on Image Processing 26 (8), 3951-3964, 2017	360	2017
Part-dependent label noise: Towards instance-dependent label noise X Xia, T Liu, B Han, N Wang, M Gong, H Liu, G Niu, D Tao, M Sugiyama NeurIPS 2020 33, 2020	333	2020
Robust early-learning: Hindering the memorization of noisy labels X Xia, T Liu, B Han, C Gong, N Wang, Z Ge, Y Chang ICLR 2020, 2020	326	2020
Why resnet works? residuals generalize F He, T Liu, D Tao IEEE transactions on neural networks and learning systems, 2019	299	2019
Learning with noisy labels revisited: A study using real-world human annotations J Wei, Z Zhu, H Cheng, T Liu, G Niu, Y Liu ICLR 2022, 2022	284	2022
Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces J Deng, J Guo, T Liu, M Gong, S Zafeiriou ECCV 2020, 2020	276	2020
Fast supervised discrete hashing J Gui, T Liu, Z Sun, D Tao, T Tan IEEE transactions on pattern analysis and machine intelligence 40 (2), 490-496, 2017	274	2017
Domain generalization via entropy regularization S Zhao, M Gong, T Liu, H Fu, D Tao NeurIPS 2020 33, 2020	268	2020
Dual T: Reducing estimation error for transition matrix in label-noise learning Y Yao, T Liu, B Han, M Gong, J Deng, G Niu, M Sugiyama NeurIPS 2020 33, 2020	265	2020
Domain generalization via conditional invariant representation Y Li, M Gong, X Tian, T Liu, D Tao AAAI 2018, 2018	252	2018
Selective-Supervised Contrastive Learning with Noisy Labels S Li, X Xia, S Ge, T Liu CVPR 2022, 2022	249	2022
Control batch size and learning rate to generalize well: Theoretical and empirical evidence F He, T Liu, D Tao NeurIPS 2019 32, 1143-1152, 2019	249	2019

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