About

I am a Ph.D. student in the Department of Management Science and Engineering at the Stanford University. Before joining Stanford, I was a Ph.D. student in the Department of Finance and Risk Engineering at the New York University from 2024 - 2025 and in the Epstein Department of Industrial and Systems Engineering at the University of Southern California from 2021 - 2024. I am fortunate to be co-advised by Prof. Renyuan Xu (Stanford) and Prof. Meisam Razaviyayn (USC). I obtained my B.S. in Mathematics from the Chinese University of Hong Kong, Shenzhen, where I was advised by Prof. Zizhuo Wang. Please find my CV here.

News

• 08/2025: The code for our paper Stochastic Control for Fine-tuning Diffusion Models is available online.
• 08/2025: We are co-organizing a workshop on Generative AI in Finance at NeurIPS 2025 in San Diego (Dec 6-7, 2025).
• 07/2025: I gave talks on stochastic control for fine-tuning diffusion models at INFORMS Applied Probability Society Conference, International Conference on Machine Learning and International Conference on Continuous Optimization.
• 05/2025: Our paper Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity and Convergence is accepted by ICML 2025 for poster presentation.
• 04/2025: Our paper Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators is accepted by SIAM Journal on Control and Optimization.
• 12/2024: Our preprint Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity and Convergence is available online.