Gang Niu (Research Scientist at RIKEN-AIP)


[ Short Bio, News, Research Interests, Job Experience, Education ]

Gang Niu

Gang Niu, D.Eng.

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

Adjunct Professor,
School of Computer Science and Engineering,
Southeast University.

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

E-mail: at
[ Google Scholar, Semantic Scholar, DBLP ]

Short Bio

Gang Niu is currently an indefinite-term 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 as a research scientist, he was a senior software engineer at Baidu and then an assistant professor at the University of Tokyo. He has published more than 90 journal articles and conference papers, including 31 ICML, 17 NeurIPS (1 oral and 3 spotlights), and 11 ICLR (1 outstanding paper honorable mention, 2 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 18 times, including ICLR 2021--2022, ICML 2019--2022, and NeurIPS 2019--2022. He also serves/has served as an action editor of TMLR 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 9 workshops, 1 competition, and 2 tutorials.


  • 2022/05/15: 3 papers accepted to ICML 2022.

  • 2022/04/20: Our paper “PiCO: Contrastive Label Disambiguation for Partial Label Learning” received an Outstanding Paper Honorable Mention at ICLR 2022.

  • 2022/01/29: 9 papers (1 oral, 1 spotlight) accepted to ICLR 2022.

  • 2022/01/27: Serve as a publication chair for ICML 2022.

  • 2021/09/29: 3 papers accepted to NeurIPS 2021.

  • 2021/05/08: 11 papers accepted to ICML 2021.

  • 2021/01/13: 1 paper (oral) accepted to ICLR 2021.

  • 2020/10/01: I am tenured!

  • 2020/09/26: 4 papers (2 spotlights) accepted to NeurIPS 2020.

  • 2020/06/01: 7 papers accepted to ICML 2020.

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

  • Research Scientist, Since April 2018 (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.


  • Doctor of Engineering, September 2013
    Dept. of Computer Science, Tokyo Institute of Technology, Tokyo, Japan.
    Supervised by Prof. Masashi Sugiyama.

  • Master of Engineering, July 2010
    Dept. of Computer Science and Technology, Nanjing University, Nanjing, China.
    Supervised by Prof. Lin Shang.

  • Bachelor of Science, July 2007
    Dept. of Mathematics, Southeast University, Nanjing, China.