About

I am a Ph.D. candidate in the Department of Electrical and Computer Engineering at the University of Virginia, where I am fortunately advised by Prof. Jundong Li. Prior to that, I obtained my B.S. in mathematics and applied mathematics from the University of Chinese Academy of Sciences.

[Open for Collaborations]: I am happy to collaborate! Please feel free to email me.

Research Summary: My current research interest mainly lies in advancing interpretability of large language models. I have published conference and journal papers in top venues [see full list]:

• Explainability: Mechanistic Interpretability; Counterfactual Explanation;
• Graph Machine Learning: Efficient GNN; Safety in Graph Learning;
• Network Science: Network Epidemiology;
• Causal Inference: Causal Inference with Latent Variables;

News

• May. 2025: One paper accepted by KDD.
• May. 2025: One paper accepted by ICML.
• Mar. 2025: One paper accepted by TMLR.
• Jan. 2025: Will join LinkedIn as a PhD Intern in May, 2025.
• Jan. 2025: Two papers acepted by ICLR.
• Dec. 2024: One paper accepted by AAAI.
• Oct. 2024: One paper accepted by WSDM.
• Sept. 2024: One paper accepted by EMNLP.
• May 2024: One paper accepted by SIGKDD Survey Track.
• Feb. 2024: Qualification Exam passed.

…

Services

• Invited Reviewer & External Reviewer: SIGKDD, SIGIR, AAAI, ICML, WWW, ICLR, ICML, NeurIPS, CIKM, WSDM etc.