Pei Liu

I am a final-year Ph.D. Candidate advised by Prof. Luping Ji at University of Electronic Science and Technology of China (UESTC). Prior to starting my Ph.D., I obtained my B.E./M.S. in computer science at UESTC in 2017/2020.

Research Interest: My research interests cover many aspects of machine learning and its applications in healthcare.

• Machine Learning: 1) Multiple Instance Learning (MIL), particularly the new issues posed by weak supervision; 2) Bayesian inference and uncertainty modeling, with more focus on NN-based approaches; and 3) Survival analysis, mainly in unbiased modeling for censored individuals.
• Computational Pathology (CPATH): utilizing efficient deep learning methods and explainable tools to unlock the potiential of Whole-Slide Image (WSI) for precise and personalized cancer diagnosis, prognosis, and treatment. I would like to devote myself to this direction for long-term and focus on cutting-edge research.

Publication & Activities: Most of my research papers have been published in interdisciplinary journals and computer science conferences, such as ICML, IEEE TMI, and MedIA. A full publication list can be found at google scholar or here. I also serve as reviewer in

• conferences: ICLR (2025), NeurIPS (2024), AISTATS (2025);
• journals: IEEE TNNLS, MedIA, IEEE JBHI, ESWA, Computers in Biology and Medicine.

More Things: I am on job market now and expect to graduate in June 2025.