About Me
I am currently a fourth-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. My current research focuses on reward models for video generation and reinforcement learning for diffusion models.
News
- [2026-11] New! Exploring how to build verifiers (rewards) for video generation in real-world production settings. Prompt-Aware Rubrics for Video Generation: A Verifier (Reward) Framework Inspired by Human Evaluation. Slides (PDF).
- [2026-11] New! SkillRubric: Co-Evolving Actor Guidance and Evaluator Rubrics for Multimodal Agents has been selected for an oral presentation at the EvoRobust Workshop @ NeurIPS 2026.
- [2026-01] Two papers on Self-Improvement of unified MLLM and Vision MoE are accepted to ICLR’26.
- [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, 2026; ICLR 2025, 2026; NeurIPS 2024 (Top Reviewers Award), 2025; CVPR 2026; ECCV 2026; AISTATS 2023, 2025; AAAI 2025.
- Conference/Workshop Area Chair: FoGen , ICML 2026; DeLTa, ICLR 2026.
- Journal Reviewer: TMLR, JASA.
- 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).
- Interns: Seedance, ByteDance; Wan, Alibaba; Shanghai AI Lab; Noah’s Ark Lab, etc.