I am a Ph.D. candidate 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 Sep 2024 - Sep 2025 and in the Epstein Department of Industrial and Systems Engineering at the University of Southern California from Aug 2021 - Aug 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
- 06/26: I presented our work Diffusion Models for Adaptive Sequential Data Generation at SIAM Conference on Optimization (OP26) in Edinburgh, Jun 2 - 5.
- 05/26: I passed the PhD Area Qualification Exam at Stanford and advanced to PhD candidacy. 🎉
- 03/26: I presented our work Diffusion Models for Adaptive Sequential Data Generation at INFORMS Optimization Society Conference in Atlanta, Mar 20 - 22.
- 03/26: I presented our work Diffusion Models for Adaptive Sequential Data Generation at AFTLab PhD Student Workshop at Stanford, Mar 16.
- 12/25: I presented workshop posters Diffusion Models for Adapted Sequential Data Generation and Inexact Moreau Envelope Augmented Lagrangian Method for Nonconvex Robust Constrained Optimization at NeurIPS workshop 2025, Dec 6 - 7.
- 12/25: I co-organized a workshop on Generative AI in Finance at NeurIPS 2025 in San Diego, Dec 6.
- 10/25: I gave a talk on Diffusion Models for Adapted Sequential Data Generation at INFORMS Annual Meeting in Atlanta.
- 09/25: Our paper Inexact Moreau Envelope Augmented Lagrangian Method for Nonconvex Robust Constrained Optimization is accepted by NeurIPS 2025 Workshop on Constrained Optimization for Machine Learning.
- 09/25: Our paper Diffusion Models for Adapted Sequential Data Generation is accepted by NeurIPS 2025 Workshop MLxOR.
- 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.
- 10/2024: I gave a talk titled Fine-tuning diffusion models: A stochastic control perspective at INFORMS Annual 2024, Seattle.
- 10/2024: I presented a poster at the Yale Sampling Conference, New Haven.
- 08/2024: I joined NYU Tandon and started a new journey here!
- 05/2024: I started my Research Scientist Intern at Meta, Sunnyvale.
- 05/2024: I presented a poster titled Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization at ICLR 2024, Vienna.
- 03/2024: I co-chaired a session with Meisam Razaviyayn and gave a talk titled Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization at INFORMS Optimization Society Conference.
- 01/2024: Our preprint Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization is available online.
- 01/2024: Our paper Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization is accepted by ICLR 2024 for poster presentation.
- 12/2023: I presented a poster titled Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization at NeurIPS 2023 Workshop on Diffusion Models.
- 10/2023: Our paper Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization is accepted by NeurIPS 2023 Workshop on Diffusion Models.
- 10/2023: I gave a talk titled Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization at INFORMS Annual 2023.
- 09/2023: Our paper Optimal Switching Policy for Batch Servers is available online.
- 09/2023: Our paper Optimal Switching Policy for Batch Servers is accepted by Operations Research Letters.
- 03/2023: Our paper Policy gradient converges to the globally optimal policy for nearly linear-quadratic regulators is submitted to SIAM Control and Optimization.
- 12/2022: Poster at NeurIPS 2022 Workshop OPT 2022.
- 10/2022: I gave a talk at INFORMS Annual Meeting 2022.