Hancheng Min
Postdoctoral Researcher, Electrical and Systems Engineering, University of Pennsylvania
Email: hanchmin [at] seas [dot] upenn [dot] edu

I am a Postdoc Researcher at Center for Innovation in Data Engineering and Science (IDEAS), University of Pennsylvania, advised by Prof. René Vidal. My research centers around building mathematical principles that facilitates the interplay between machine learning and dynamical systems. Recently, I am mainly interested in analyzing gradient-based optimization algorithms on overparametrized neural networks from a dynamical system perspective.
Prior to entering Penn, I received Ph.D. degree from Johns Hopkins University, where I am fortunate to be advised by Prof. Enrique Mallada and Prof. René Vidal. Before Hopkins, I received Master’s degree in Systems Engineering from University of Pennsylvannia and Bachelor’s degree in Automation from Tongji Univerisity, Shanghai.
Recent Update
Recent publications
- Concept Lancet: Decomposing and Transplanting Representations for Diffusion-Based Image EditingConference on Computer Vision and Pattern Recognition (CVPR), 2025 Abs