Scholar
Hancheng Min
Google Scholar ID: XgQjPZIAAAAJ
Shanghai Jiao Tong University
Citations & Impact
Citations
239
H-index
9
i10-index
9
Publications
20
Co-authors
17
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Several papers accepted to NeurIPS 2025, CDC 2025, ICCV 2025, etc. Will serve as an Area Chair for ICLR 2026 and AISTATS 2026.
Research Experience
- Currently, an associate professor at INS and SMS, Shanghai Jiao Tong University. Previously, a postdoctoral researcher at IDEAS, UPenn.
Education
- From 2023 to 2025, was a Postdoc Researcher at the Center for Innovation in Data Engineering and Science (IDEAS), University of Pennsylvania, advised by Prof. René Vidal. Received Ph.D. degree from Johns Hopkins University, where he was fortunate to be advised by Prof. Enrique Mallada and Prof. René Vidal. Before Hopkins, received Master’s degree in Systems Engineering from the University of Pennsylvania and Bachelor’s degree in Automation from Tongji University, Shanghai.
Background
- Currently, a Tenure-track Associate Professor at the Institute of Natural Sciences (INS) and the School of Mathematical Sciences (SMS), Shanghai Jiao Tong University. Research focuses on building mathematical principles that facilitate the interplay between machine learning and dynamical systems. Recently, mainly interested in analyzing gradient-based optimization algorithms on overparametrized neural networks from a dynamical system perspective.
