Gang Niu

Cited by

	All	Since 2015
Citations	1864	1779
h-index	20	20
i10-index	30	28

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20112012201320142015201620172018201920205 9 26 36 42 83 111 230 461 842

Co-authors

Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk
Ivor W. TsangResearch Director & Professor, Australian AI Institute, University of Technology SydneyVerified email at uts.edu.au
Miao XuRIKEN, AIPVerified email at lamda.nju.edu.cn
Tomoya SakaiNEC CorporationVerified email at nec.com
Quanming YaoSenior Scientist, 4ParadigmVerified email at cse.ust.hk
Bo DaiResearch Scientist, Google BrainVerified email at google.com
Weihua HuPh.D. student, Stanford UniversityVerified email at stanford.edu
Xingrui YuPh.D Student, University of Technology Sydney (UTS)Verified email at student.uts.edu.au
Tongliang LiuUniversity of Sydney and Visiting Scientist at RIKEN AIPVerified email at sydney.edu.au
Makoto YamadaKyoto University / RIKEN Center for Advanced Intelligence ProjectVerified email at i.kyoto-u.ac.jp
Jiangchao YaoAlibaba GroupVerified email at sjtu.edu.cn
Takashi IshidaPh.D. student, The University of TokyoVerified email at ms.k.u-tokyo.ac.jp
Ryuichi KiryoThe University of TokyoVerified email at ms.k.u-tokyo.ac.jp
Nannan WangProfessor, Xidian UniversityVerified email at xidian.edu.cn
Nan LuPh.D. student, The University of TokyoVerified email at ms.k.u-tokyo.ac.jp
Mingming GongThe University of MelbourneVerified email at unimelb.edu.au
Aditya Krishna MenonResearch Scientist, GoogleVerified email at google.com
Lei Feng (冯磊)Nanyang Technological UniversityVerified email at e.ntu.edu.sg
Mingyuan ZhouAssociate Professor, University of Texas at AustinVerified email at mccombs.utexas.edu

Gang Niu

RIKEN Center for Advanced Intelligence Project

Verified email at postman.riken.jp - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Co-teaching: Robust training of deep neural networks with extremely noisy labels B Han, Q Yao, X Yu, G Niu, M Xu, W Hu, IW Tsang, M Sugiyama NeurIPS 2018, 2018	282	2018
Analysis of learning from positive and unlabeled data MC du Plessis, G Niu, M Sugiyama NeurIPS 2014, 2014	163	2014
Positive-unlabeled learning with non-negative risk estimator R Kiryo, G Niu, MC Plessis, M Sugiyama NeurIPS 2017, 2017	145	2017
Convex formulation for learning from positive and unlabeled data MC du Plessis, G Niu, M Sugiyama ICML 2015, 2015	135	2015
Class-prior estimation for learning from positive and unlabeled data MC du Plessis, G Niu, M Sugiyama Machine Learning 106 (4), 463--492, 2017	122*	2017
Analysis and improvement of policy gradient estimation T Zhao, H Hachiya, G Niu, M Sugiyama NeurIPS 2011, 2011	104	2011
Information-theoretic semi-supervised metric learning via entropy regularization G Niu, B Dai, M Yamada, M Sugiyama ICML 2012, 2012	79	2012
How does disagreement help generalization against label corruption? X Yu, B Han, J Yao, G Niu, IW Tsang, M Sugiyama ICML 2019, 2019	71*	2019
Theoretical comparisons of positive-unlabeled learning against positive-negative learning G Niu, MC du Plessis, T Sakai, Y Ma, M Sugiyama NeurIPS 2016, 2016	64	2016
Masking: A new perspective of noisy supervision B Han, J Yao, G Niu, M Zhou, IW Tsang, Y Zhang, M Sugiyama NeurIPS 2018, 2018	63	2018
Semi-supervised classification based on classification from positive and unlabeled data T Sakai, MC du Plessis, G Niu, M Sugiyama ICML 2017, 2017	62	2017
Does distributionally robust supervised learning give robust classifiers? W Hu, G Niu, I Sato, M Sugiyama ICML 2018, 2018	50	2018
Squared-loss mutual information regularization: A novel information-theoretic approach to semi-supervised learning G Niu, W Jitkrittum, B Dai, H Hachiya, M Sugiyama ICML 2013, 2013	43	2013
Learning from complementary labels T Ishida, G Niu, W Hu, M Sugiyama NeurIPS 2017, 2017	35	2017
Information-maximization clustering based on squared-loss mutual information M Sugiyama, G Niu, M Yamada, M Kimura, H Hachiya Neural Computation 26 (1), 84--131, 2014	35	2014
Classification from pairwise similarity and unlabeled data H Bao, G Niu, M Sugiyama ICML 2018, 2018	29	2018
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, 2019	28	2019
On the minimal supervision for training any binary classifier from only unlabeled data N Lu, G Niu, AK Menon, M Sugiyama ICLR 2019, 2019	25	2019
Semi-supervised AUC optimization based on positive-unlabeled learning T Sakai, G Niu, M Sugiyama Machine Learning 107 (4), 767--794, 2018	25	2018
Transfer learning via multi-view principal component analysis Y Ji, J Chen, G Niu, L Shang, X Dai Journal of Computer Science and Technology 26 (1), 81--98, 2011	21	2011

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