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 primary research revolves around Uncertainty Quantification (UQ), with a strong focus on Conformal Prediction (CP). I am particularly interested in enhancing the adaptiveness of CP, especially under distribution shifts, to ensure reliable uncertainty estimation in dynamic and evolving data environments.

Additionally, I am exploring the integration of CP with diverse data modalities, including natural language, images, and multi-modal datasets, aiming to expand its applicability across various domains. I am also actively engaged in real-world applications of CP, collaborating with hospitals and industry partners to develop robust CP techniques tailored for multi-center scenarios, ensuring reliability and fairness in practical deployments.

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.