About Me
I am a Ph.D. student in Computer Science at the University of Virginia, advised by Prof. Aidong Zhang. Prior to this, I received my Bachelor’s degree in English Language from Tsinghua University. My research sits at the intersection of trustworthy AI, foundation models, and biomedical informatics, with an emphasis on building machine learning systems that are more reliable, interpretable, and useful in high-impact settings.
News
- Feb 2026: One paper is accepted to CVPR 2026!
- Jan 2026: One paper is accepted to ICLR 2026!
- Jan 2026: One paper is accepted to AISTATS 2026!
- Jan 2026: Our MedRAG toolkit reaches 500 stars on GitHub!
- Nov 2025: One paper is accepted to AAAI 2026!
- Aug 2025: One paper is accepted to EMNLP 2025!
- Jun 2025: One paper is accepted to ICCV 2025!
- May 2025: Start my applied scientist internship at Amazon!
- May 2025: Two papers are accepted to IJCAI 2025!
Research Interests
- Trustworthy AI: generalized additive models, prototype learning, concept learning, and sparse autoencoders. Representative papers: RAGLens, Neural Additive Experts, ProtoNAM.
- Foundation Models: retrieval-augmented generation, agents, process reward modeling, post-training, and in-context learning. Representative papers: CIRCLES, RAG-Gym, MedRAG.
- Biomedical Informatics: medical question answering, single-cell RNA-seq analysis, and LLM or VLM methods for healthcare. Representative papers: TruthHypo, DeepGSEA, ProtoCell4P.
For a complete list of papers, see the Publications page.