Currently, I am a Research Assistant Professor at City University of Hong Kong (2025-). I received Ph.D. (2021-2024) at Department of Data Science, City University of Hong Kong, supervised by Prof. Minghua Chen. I received B.Eng. (2016-2020) at School of Intelligent Systems Engineering, Sun Yat-sen University, supervised by Prof. Renxin Zhong.

I have been a member of DeepOPF, working with Prof. Steven Low, focusing on applying ML to power grid operation. I visited University of Cambridge, working with Prof. Srinivasan Keshav, focusing on power grid resilience under extreme weather. I contributed to AI for OPF tutorials in Climate Change AI summer school, working with Prof. Priya L. Donti.

I am working with DiDi, focusing on applying ML for improving efficiency of urban mobility-on-demand system. I worked as a research intern in MSRA (Beijing, 2022) and Huawei Noah's Ark Lab (Shenzhen, 2021), focusing on applying RL/ML to logistics and wireless optimization.

My research interests lie at the intersection of ML and Optimization, and applications in mobility and energy systems. I developed Homeomorphism methods as an elegant framework for efficient learning and optimization with hard constraints, including Homeomorphic Projection, Homeomorphic Optimization, and Gauge Flow Matching.

Homeomorphism

Slides for Homeomorphism Methods