I am a tenure-track Assistant Professor in the Department of Computer & Data Sciences at Case Western Reserve University (CWRU). Before that, I obtained my Ph.D. in the Department of Computer Science at University of Virginia (UVA) in 2023 summer, working with Prof. Jundong Li and Prof. Aidong Zhang. I obtained my master's degree and bachelor's degree at Shanghai Jiao Tong University (SJTU).
Research Interest: I am broadly interested in machine learning and data mining. My current research mainly focuses on trustworthy AI (generalization, explanation, fairness, robustness, etc.), causal machine learning, graph mining, AI for social good, and recently large language model.
I am actively looking for self-motivated PhD/Master/intern students. Please feel free to send me an email with your CV if you are interested!
News
[2024.03] One demo paper has been accepted by WWW 2024
[2024.01] Invited to serve as a PC member for BigData 2024
[2024.01] One paper has been accepted by PAKDD 2024
[2024.01] Invited to serve as a reviewer for UAI 2024
[2023.11] Selected for the AAAI 2024 New Faculty Highlights Program
[2023.10] One paper has been accepted by TKDD
[2023.09] Appoined as the Timothy E. and Allison L. Schroeder Assistant Professor at CWRU
[2023.08] Joined CWRU as an Assistant Professor
[2023.07] One paper has been accepted by ECAI 2023
[2023.06] One paper has been accepted by IJCAI 2023
[2023.05] Finished my Ph.D. dissertation defense
[2023.05] Three papers have been accepted by KDD 2023
[2023.05] Invited to serve as a PC member for ACL 2023
[2023.05] Received the John A. Stankovic Graduate Research Award at UVA
[2023.03] Invited to serve as a PC member for IJCAI 2023
[2023.02] Invited to serve as a PC member for KDD 2023
[2022.10] Our tutorial "Machine Learning for Causal Inference" has been accepted by AAAI 2023
[2022.10] Received the L. William Ballard, Jr. Endowed Fellowship at UVA
[2022.09] One paper has been accepted by NeurIPS 2022
[2022.09] Invited to serve as a PC member for SDM 2023
[2022.08] Our tutorial "Fairness in Graph Mining: Metrics, Algorithms, and Applications" has been accepted by ICDM 2022
