Gang Niu - Google Scholar

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	All	Since 2015
Citations	1606	1529
h-index	20	19
i10-index	29	27

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20112012201320142015201620172018201920205 8 26 36 42 83 111 224 461 599

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 & Research Head, 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
Makoto YamadaKyoto University / RIKEN Center for Advanced Intelligence ProjectVerified email at i.kyoto-u.ac.jp
Tongliang LiuLecturer (Assistant Professor) at University of Sydney and Visiting Scientist at RIKEN AIPVerified email at sydney.edu.au
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
Aditya Krishna MenonResearch Scientist, GoogleVerified email at google.com
Mingyuan ZhouAssociate Professor, University of Texas at AustinVerified email at mccombs.utexas.edu
Yao MaBoston UniversityVerified email at bu.edu
Yangsheng JiNanjing UniversityVerified email at nlp.nju.edu.cn

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	233	2018
Analysis of learning from positive and unlabeled data MC du Plessis, G Niu, M Sugiyama NeurIPS 2014, 2014	144	2014
Positive-unlabeled learning with non-negative risk estimator R Kiryo, G Niu, MC Plessis, M Sugiyama NeurIPS 2017, 2017	120	2017
Convex formulation for learning from positive and unlabeled data MC du Plessis, G Niu, M Sugiyama ICML 2015, 2015	120	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	111*	2017
Analysis and improvement of policy gradient estimation T Zhao, H Hachiya, G Niu, M Sugiyama NeurIPS 2011, 2011	93	2011
Information-theoretic semi-supervised metric learning via entropy regularization G Niu, B Dai, M Yamada, M Sugiyama ICML 2012, 2012	79	2012
Theoretical comparisons of positive-unlabeled learning against positive-negative learning G Niu, MC du Plessis, T Sakai, Y Ma, M Sugiyama NeurIPS 2016, 2016	59	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	58	2018
Semi-supervised classification based on classification from positive and unlabeled data T Sakai, MC du Plessis, G Niu, M Sugiyama ICML 2017, 2017	54	2017
How does disagreement help generalization against label corruption? X Yu, B Han, J Yao, G Niu, IW Tsang, M Sugiyama ICML 2019, 2019	53*	2019
Does distributionally robust supervised learning give robust classifiers? W Hu, G Niu, I Sato, M Sugiyama ICML 2018, 2018	45	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	40	2013
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	34	2014
Learning from complementary labels T Ishida, G Niu, W Hu, M Sugiyama NeurIPS 2017, 2017	31	2017
Classification from pairwise similarity and unlabeled data H Bao, G Niu, M Sugiyama ICML 2018, 2018	27	2018
Semi-supervised AUC optimization based on positive-unlabeled learning T Sakai, G Niu, M Sugiyama Machine Learning 107 (4), 767--794, 2018	24	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
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	20	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	20	2019

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