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 NiuRIKEN Center for Advanced Intelligence ProjectVerified email at riken.jp
Xiaobo XiaThe University of SydneyVerified email at uni.sydney.edu.au
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
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
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
Thomas S. HuangUniversity of Illinois, Urbana-ChampaignVerified email at ifp.uiuc.edu
Fengwang LiUniversity of SydneyVerified email at sydney.edu.au

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	969	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	784	2018
On compressing deep models by low rank and sparse decomposition X Yu, T Liu, X Wang, D Tao CVPR 2017, 7370-7379, 2017	508	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	427	2019
Domain adaptation with conditional transferable components M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf ICML 2016, 2839-2848, 2016	405	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	391	2019
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	345	2017
Expressive power of parametrized quantum circuits Y Du, MH Hsieh, T Liu, D Tao Physical Review Research 2 (3), 033125, 2020	335	2020
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	324	2022
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	295	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	290	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	267	2017
Why resnet works? residuals generalize F He, T Liu, D Tao IEEE transactions on neural networks and learning systems, 2019	256	2019
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	252	2020
Domain generalization via entropy regularization S Zhao, M Gong, T Liu, H Fu, D Tao NeurIPS 2020 33, 2020	248	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	243	2020
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	239	2022
Domain generalization via conditional invariant representation Y Li, M Gong, X Tian, T Liu, D Tao AAAI 2018, 2018	232	2018
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	226	2019
Selective-Supervised Contrastive Learning with Noisy Labels S Li, X Xia, S Ge, T Liu CVPR 2022, 2022	216	2022

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