Gang Niu (Senior Research Scientist at RIKEN)
Home
[ Short Bio,
News,
Research Interests,
Job Experience,
Education ]
|
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.
Gang published more than 120 journal articles and conference papers, including 39 ICML, 25 NeurIPS, and 14 ICLR (1 outstanding paper honorable mention) papers.
He co-authored the book “Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach” (the MIT Press).
On the other hand, he served as a senior area chair/senior meta-reviewer 3 times and an area chair/meta-reviewer 25 times.
He is also serving as an associate/action editor of IEEE TPAMI, MLJ, and TMLR.
Moreover, he served as a publication chair for ICML 2022, and co-organized 14 workshops, 1 competition, and 3 tutorials.
Last but not least, he is currently an IEEE senior member.
News
2024/09/28: Serve as an action editor of Machine Learning (Springer Nature).
2024/06/10: Serve as an associate editor of IEEE Transactions on Pattern Analysis and Machine Intelligence.
2024/05/22: Serve as a senior area chair for NeurIPS 2024.
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.
2022/03/24: Serve as an action editor of Transactions on Machine Learning Research.
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)
In-context learning and test-time adaptation
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
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.
|