I am a Ph.D. candidate in the School of Artificial Intelligence at Jilin University, supervised by Associate Professor Xin Wang, focusing on large-scale graph representation learning. Previously, I participated in a CSC joint training program at Griffith University(2023.11–2024.11), collaborating with Professor Shirui Pan (ARC Future Fellow) on out-of-distribution graph detection and graph prompt learning. Currently, I am in the final stages of completing my Ph.D.

My research encompasses large-scale node classification, molecular graph classification, and graph OOD detection and generalization. I specialize in techniques such as contrastive learning, sharpness-aware minimization, information bottleneck, adversarial learning, prompt learning, and diffusion models. I aim to develop scalable and robust machine-learning algorithms to address complex challenges in graph-based applications.

News

2025-02: One Paper accepted by Neural Networks(J).

2025-02: One Paper accepted by PAKDD 2025.

2025-01: One Paper accepted by ICLR 2025.

2024-09: One Paper accepted by EMNLP 2024.

2024-06: One paper accepted by ESWA.

2024-05: One paper accepted by KDD Research Track 2024.

2024-05: One paper accepted by ICML 2024.

2024-01: One paper accepted by ICLR 2024.

2023-11: Join the Griffith University TrustAGI Lab as a Visiting Ph.D.

2022-08: One paper accepted by CIKM 2022.