About Me

Hello! Husky here! I'm an incoming student in the CMU MSML program. 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.

Within world modeling, I'm particularly(currently) interested in the following directions:

• How can we enable world models to operate effectively in long-sequence scenarios? This includes both looking ahead (simulating long trajectories) and looking back (designing effective memory mechanisms).
• How can we make world models real-time interactive? This is especially crucial for real world applications, and I find both the mathematical and ML systems perspectives fascinating.
• How can we make world models more physically grounded? I'm excited to explore data-driven approaches, RLHF, and other emerging methods.

I am now actively seeking internship opportunities in related fields. If you share similar research interests, I would be delighted to connect. I am always open to collaboration and eager to expand my expertise through impactful projects.