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Gang Niu, D.Eng.

Senior Research Scientist (indefinite-term),
Imperfect Information Learning Team,
RIKEN Center for Advanced Intelligence Project.

Nihonbashi 1-chome Mitsui Building, 15th floor,
1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan.

E-mail: gang.niu.ml at gmail.com
[ Google Scholar, Semantic Scholar, DBLP ]

Short Bio

Gang Niu is currently an indefinite-term senior research scientist at RIKEN Center for Advanced Intelligence Project. He received the PhD degree in computer science from Tokyo Institute of Technology in 2013. Before joining RIKEN, he was a senior software engineer at Baidu and then an assistant professor at the University of Tokyo. He joined RIKEN as a research scientist in 2018, and he was tenured in 2020 and promoted to senior research scientist in 2023. He has published more than 100 journal articles and conference papers, including 34 ICML, 25 NeurIPS (1 oral and 4 spotlights), and 14 ICLR (1 outstanding paper honorable mention, 3 orals, and 1 spotlight) papers. He has co-authored the book “Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach” (the MIT Press). On the other hand, he has served as an area chair/meta-reviewer 24 times and a senior area chair/senior meta-reviewer 2 times. He also serves/has served as an action editor of TMLR, an editorial board member of MLJ, and a guest editor of a special issue at MLJ. Moreover, he has served as a publication chair for ICML 2022, and has co-organized 12 workshops, 1 competition, and 3 tutorials.

News

2023/04/01: I am promoted to senior research scientist!
2022/08/23: Our book “Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach” was published by the MIT Press.
2022/04/20: Our paper “PiCO: Contrastive Label Disambiguation for Partial Label Learning” received an outstanding paper honorable mention at ICLR 2022.
2022/01/27: Serve as a publication chair for ICML 2022.
2020/10/01: I am tenured!

Research Interests

Weakly supervised learning (including but not limited to
semi-supervised learning, positive-unlabeled learning, and label-noise learning)
Adversarial training and adversarial robustness
Deep learning and representation learning

Job Experience

Senior Research Scientist, Since April 2023
RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.
Research Scientist, April 2018--March 2023 (Tenured in October 2020)
RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.
Visiting Scientist, September 2017--March 2018
RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.
Assistant Professor, September 2015--March 2018
Dept. of Complexity Science and Engineering, The University of Tokyo, Tokyo, Japan.
Senior Software Engineer, April 2014--July 2015
Dept. of Natural Language Processing, Baidu, Beijing, China.
Postdoctoral Fellow, October 2013--March 2014
Dept. of Computer Science, Tokyo Institute of Technology, Tokyo, Japan.

Education