- Spectral Policy Optimization: Coloring your Incorrect Reasoning in GRPO, with Peter L. Chen, Ziniu Li, Xi Chen and Tianyi Lin, 2025
- Global convergence of gradient descent for phase retrieval, with Théodore Fougereux and Cédric Josz, 2024
- Proximal random reshuffling under local Lipschitz continuity, with Cédric Josz and Lexiao Lai, 2024
Journals:
- Singular perturbation in heavy ball dynamics, with Cédric Josz, Journal of Dynamics and Differential Equations, 2024
- Convergence of the momentum method for semi-algebraic functions with locally Lipschitz gradients, with Cédric Josz and Lexiao Lai, SIAM Journal on Optimization, 2023
- Certifying the absence of spurious local minima at infinity, with Cédric Josz, SIAM Journal on Optimization, 2023
Research Experience
Position: Assistant Professor
Affiliation: School of Artificial Intelligence (SAI), The Chinese University of Hong Kong, Shenzhen
Education
Ph.D. Advisor: Professor Cédric Josz
Background
Research interest lies in nonconvex optimization, differential equations, semi-algebraic geometry, with applications in low rank matrix recovery, deep neural networks, and large language model reasoning.
Miscellany
I am actively recruiting PhD students who are interested in optimization for machine learning, nonconvex/nonsmooth optimization, or LLM reasoning. Strong mathematical background and solid programming skills are important; prior research experience is a plus.