Rui‘s Homepage

Hello! I am Rui Xu, a first-year Ph.D. student at the Hong Kong University of Science and Technology (Guangzhou) in the Artificial Intelligence Hub, advised by Sihong XIE and funded by Postgraduate Studentship Award.

Current Research Interests

My current research interests focus on uncertainty quantification and explainability for large language models (LLMs). In particular, I study two main directions: (1) robust uncertainty quantification under distribution shift, including conformal prediction and calibration for non-i.i.d. environments, and (2) mechanism-based understanding of LLM reliability through representation geometry and information flow analysis. My goal is to develop trustworthy LLM systems that are reliable, interpretable, and practically deployable in real-world applications.

Education

I obtained my B.S. in Mechanical Engineering at the University of Pittsburgh and Sichuan University honored on Dean’s List.
I pursued an M.Eng at the University of California, Berkeley, concentrating on Modeling and Simulation for Advanced Manufacturing, advised by Tarek I. Zohdi.