About Me

I am currently a second-year Ph.D. candidate in Computer Science at the University of Hong Kong (HKU), where I have the privilege of being supervised by Prof.Difan Zou. Before joining HKU, I obtained my Master’s degree from Yale University, where I was fortunate to be mentored by Prof.Leying Guan and collaborating closely with Prof.Sten H. Vermund. I also hold a Bachelor’s degree from Renmin University of China (RUC). Here is my CV.

I’m deeply curious about challenging problems in generative modeling, especially image and video generation, and I explore them with the goal of offering insights and proposing principled methods that benefit the public. Recently, my work has focused on understanding and advancing unified multimodal LLMs.

News

• [2025-05] Two papers on diffusion models-inter-feature rules and MAETok (spotlight)-are accepted to ICML’25.
• [2025-02] One paper on efficient autoregressive generation, is accepted to CVPR’25 as a highlight.
• [2025-01] One paper on interpretability of LLMs, is accepted to ICLR’25.
• [2024-09] One paper on noised diffusion models, is accepted to NeurIPS’24 as a spotlight.
• [2024-05] One paper on mitigationg spurious correlations, is accepted to ICML’24.
• [2024-01] One paper on efficient comfromal predicticion, is accepted to AISTATS’24.
• [2023-09] I commenced my doctoral journey at HKU under the guidance of Prof.Difan Zou.

Services

• Conference Reviewer: ICML 2025; ICLR 2025; NeurIPS 2024 (Top Reviewers Award), 2025; AISTATS 2023, 2025; AAAI 2025.
• Journal Reviewer: TMLR.
• Teaching Experience: COMP3354 Statistical Learning (Fall 2024/2025, HKU); CCST9047 The Age of Big Data (Spring 2023, HKU); BIS620 Data Science Software Systems (Fall 2022, Yale).