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

Hi there, 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 coming to CMU, I earned my bachelor’s degree in Computer Science and Technology from IIIS, Tsinghua University (a.k.a. Yao Class), where I had the privilege of working with Prof. Yi Wu.

Along the way, I’ve been lucky to intern at several inspiring research labs: the MIT-IBM Watson AI Lab (with Prof. Joshua B. Tenenbaum and Prof. Chuang Gan), 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 🏃.