I am a postdoctoral researcher in the School of Artificial Intelligence Jilin University, selected as a Dingxin Scholar Postdoctoral Fellow, supervised by Professor Yi Chang. My current research focuses on the integration of large language models (LLMs) with graph neural networks (GNNs) to enhance scalability, robustness, and generalization in graph-based 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. I obtained my Ph.D. in Artificial Intelligence from Jilin University, under the supervision of Associate Professor Xin Wang, with research focusing on large-scale graph representation learning.

My research broadly focuses on graph representation learning, out-of-distribution generalization, and the integration of LLMs with GNNs. I aim to develop scalable and trustworthy AI algorithms for complex graph-structured data, with applications spanning from scientific discovery to intelligent systems.

News

2025-08: Two papers accepted by EMNLP 2025.

2025-05: One Paper accepted by TPAMI.

2025-04: One Paper accepted by IJCAI 2025.

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.