Published multiple papers including 'SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Models' (KDD 2025), 'DoseSurv: Predicting Personalized Survival Outcomes under Continuous-valued Treatments' (NeurIPS 2025), 'ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions' (CIKM 2025), etc.
Research Experience
Postdoctoral researcher at the Department of Engineering Science, University of Oxford, and previously conducted research at the Department of Electronic Engineering, Tsinghua University.
Education
Ph.D. degree (advised by Prof. Yong Li) in 2023 and B.Eng. degree in 2018, both from the Department of Electronic Engineering at Tsinghua University.
Background
Currently a postdoctoral researcher in the Department of Engineering Science, University of Oxford, working with Prof. Tingting Zhu. Also a Junior Research Fellow at Kellogg College, University of Oxford. Research interests span data mining, knowledge graphs, foundation models, multimodal learning and trustworthy AI, with applications in healthcare, biomedicine, urban computing and sustainable development.