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 project, 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 (the largest ride-sourcing platform in China), 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
💼 We have funding for RAs, PhDs, and Postdocs (at CityU or CUHK-SZ). Please mail me with CV if interested in research opportunities
Learning and Optimization with Constraints
also presented at ICLR 2025 DeLTa Workshop.
Outstanding Short Paper Award.
conference version presented at ICML 2023.
Learning & Optimization Theory
Learning for Decision-Making
Tested in DiDi (largest ride-sourcing platform in China).
Ride-Sourcing Optimization
Solo, 2nd Place.
Tested in DiDi (largest ride-sourcing platform in China).
Tested in DiDi (largest ride-sourcing platform in China).
Power Grid Operation
