Weihua Du 杜伟桦 (read as /ˈweɪˌhwɑː duː/)

Hi! I’m a second-year Ph.D. student at Language Technologies Institute, Carnegie Mellon University, where I’m fortunate to be co-advised by Prof. Yiming Yang and Prof. Sean Welleck. Before CMU, I earned my bachelor’s degree in Computer Science and Technology from IIIS, Tsinghua University (Yao Class), where I had the opportunity to work with Prof. Yi Wu. As an undergrad, I also visited MIT and worked with Prof. Joshua B. Tenenbaum and Prof. Chuang Gan.

Along the way, I’ve been lucky to intern at MIT-IBM Computing Research Lab (with Dr. Dan Gutfreund), Shanghai AI Lab (with Dr. Kai Chen and Dr. Wenwei Zhang), and Seed (with Dr. Jiecao Chen).

My long-term research interests center on applying AI in the wild — that is, moving beyond idealized experimental settings to ground AI systems in real-world scenarios, building technologies that assist people in everyday life ([1][2]) and work ([3][4]).

Recently, my research has focused on LLM-based agents, a promising direction that aligns closely with my interests, including improving robustness and capacity of agents ([5][6]), designing effective inference-time algorithms ([7]), and developing methods for long-context management towards complex tasks ([8]).

Beyond my professional pursuits, I enjoy sports, especially volleyball 🏐, badminton 🏸, and running 🏃.