Hello! Husky here! I'm a MSML student at CMU Locus Lab. Throughout my research journey, I've explored a variety of topics. Currently, my primary focus is on generative world modeling, where I have been fortunate to work closely with Professor Zhiting Hu and Professor Yilun Du on advancing the capabilities of world models. Previously, I collaborated with my amazing advisor Jiaqi W. Ma at the TRAIS Lab, focusing on dataset curation using LLM agents. I also gained valuable research experience in AI interpretability under Professor Quanshi Zhang's XAI Lab.
My primary research goal is to build autonomous AI agents with human-level reasoning, planning, and memory that can flexibly allocate computation under varying budget constraints and adapt to evolving environments through closed-loop interaction. Currently, I am particularly interested in:
- Scalable Reasoning - methods that improve both capability and efficiency.
- World Modeling - video generative models for long horizon prediction, control, and planning.
News
- 2026/04
- Two papers (EqR and FloWM) are accepted to ICML 2026. See you in Seoul!
- Awesome Loop Models is released: a curated list and interactive browser for loop-model papers and technical blogs.
- 2026/01The code of Flow Equivariant World Models is released.
- 2025/11Tech report of PAN World Model is released.
- 2025/07Magica, a Generative World Engine, is now available online.
- 2025/05DCA-Bench has been accepted to KDD 2025 DB-Track as an oral paper.
Selected Works
See the Research page for the complete list.
PAN: A World Model for General, Interactable, and Long-Horizon World Simulation
PAN brings imagination to life — fusing language, action, and vision to simulate the world's evolution with stunning realism and consistency.



