Scholar
Fangchen Yu
Google Scholar ID: fQtgwlgAAAAJ
Ph.D Candidate, The Chinese University of Hong Kong, Shenzhen
Citations & Impact
Citations
67
H-index
6
i10-index
2
Publications
16
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Published several academic papers, including 'UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance', 'A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective', and more. The paper 'Learning Sparse Binary Code for Maximum Inner Product Search' was a Best Short Paper Finalist.
Research Experience
- Published research on efficient similarity and distance learning in conferences such as NeurIPS, WWW, and UAI; currently working on physical reasoning for (Multimodal) Large Language Models.
Education
- Bachelor's degree in Physics from the University of Chinese Academy of Sciences (UCAS) in 2020; Ph.D. candidate at The Chinese University of Hong Kong, Shenzhen from September 2020 to October 2025, supervised by Prof. Jianfeng Mao and Prof. Wenye Li.
Background
- Ph.D. candidate in Computer and Information Engineering at The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), with research interests in AI for Science, (Multimodal) Large Language Models, and Statistics for AI.
Miscellany
- CV available on his homepage in both Chinese and English.
