Research Assistant Professor, City University of Hong Kong
I am a Research Assistant Professor at City University of Hong Kong (2025-). I received my Ph.D. (2021-2024) from the Department of Data Science, City University of Hong Kong, supervised by Prof. Minghua Chen. I received my B.Eng. (2016-2020) from the School of Intelligent Systems Engineering, Sun Yat-sen University, supervised by Prof. Renxin Zhong.
I have been a member of the DeepOPF project, working with Prof. Steven Low, focusing on applying machine learning to power grid operation. I also visited the University of Cambridge, working with Prof. Srinivasan Keshav on power grid resilience under extreme weather, and contributed to AI for OPF tutorials in the Climate Change AI summer school with Prof. Priya L. Donti.
I am also working with DiDi, focusing on machine learning for improving urban mobility-on-demand systems. I previously worked as a research intern at MSRA (Beijing, 2022) and Huawei Noah's Ark Lab (Shenzhen, 2021), focusing on RL and ML for logistics and wireless optimization.
My research lies at the intersection of machine learning and optimization, with applications in mobility and energy systems. I developed Homeomorphism methods as a framework for efficient learning and optimization with hard constraints, including Homeomorphic Projection, Homeomorphic Optimization, and Gauge Flow Matching.
Homeomorphism
Please feel free to contact me if you want to discuss possible collaborations or research directions.
