About
I am a third-year Ph.D. student in the Epstein Department of Industrial and Systems Engineering at the University of Southern California. I am fortunate to be co-advised by Prof. Renyuan Xu and Prof. Meisam Razaviyayn. Before joining 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
- Jan 29, 2024: Our preprint Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization is available online.
- Jan 16, 2024: Our paper Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization is accepted by ICLR 2024 for poster presentation.
- Dec 15, 2023: I presented a poster titled Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization at NeurIPS 2023 Workshop on Diffusion Models.
- Oct 27, 2023, Our paper Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization is accepted by NeurIPS 2023 Workshop on Diffusion Models.
- Oct 15, 2023: I gave a talk titled Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization at INFORMS Annual 2023.
- Sep 27, 2023: Our paper Optimal Switching Policy for Batch Servers is available online.
- Sep 8, 2023: Our paper Optimal Switching Policy for Batch Servers is accepted by Operations Research Letters.
- Mar 22, 2023: Our paper Policy gradient converges to the globally optimal policy for nearly linear-quadratic regulators is submitted to SIAM Control and Optimization.
- Dec 14, 2022: Our paper Optimal Switching Policy for Batch Servers is submitted to Operations Research Letters.
- Dec 3, 2022: Poster at NeurIPS 2022 Workshop OPT 2022.
- Oct 19, 2022: I gave a talk at INFORMS Annual Meeting 2022.