Scholar
Wei Huang
Google Scholar ID: RZfDh4MAAAAJ
Research Scientist, RIKEN AIP
Citations & Impact
Citations
909
H-index
17
i10-index
29
Publications
20
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- - Publications: Multiple papers accepted at NeurIPS 2025, ICML 2025, etc.
- - Awards: ICLR 2025 Notable Reviewer
- - Organized Events: Organizer of the Deep Learning Theory 2025 Workshop
- - Service: Area Chair for ICLR 2026 and AISTATS 2026, Senior Program Committee for AAAI 2026
Research Experience
- - Research Scientist (Assistant Professor-level position) in the Deep Learning Theory Team at RIKEN Center for Advanced Intelligence Project (AIP), working with Prof. Taiji Suzuki
- - Former Postdoctoral Researcher in the same team
- - Research Associate at UNSW, advised by Dr. Xin Cao
- - Worked on graph neural networks at USYD with A/Prof. Jie Yin
Education
- - Ph.D., Faculty of Engineering and Information Technology, University of Technology Sydney, Advisor: Prof. Richard Xu
- - Master's degree, Department of Modern Physics, University of Science and Technology of China, Advisor: Prof. Youjin Deng
Background
- Research Interest: Theoretically understanding foundation modals from deep learning theory, statistical physics, and statistical learning perspectives; Feature Learning; Implicit Regularization/Bias; Neural Tangent Kernel. Applications powered by deep learning theory: Foundation Models, Graph Neural Networks; Computer Vision.
Miscellany
- Maintains a comprehensive and popular blog on the latest Deep Learning Theory works on Zhihu
- Other Interests: Welcomes motivated research assistant and intern students with backgrounds in machine learning, statistical physics, or mathematics to apply
