About
I am a PhD student at the School of Computer Science, Wuhan University, advised by Prof. Jiawei Jiang and Prof. Xiao Yan. Prior to this, I obtained my Master's degree from Hangzhou Dianzi University in 2025, advised by Prof. Pengfei Jiao, and my Bachelor's degree from Zhengzhou University in 2021.
My current research focuses on Large Language Models, including Retrieval-Augmented Generation (RAG) and Graph-enhanced LLMs (Graph4LLM). I am also interested in Generative Recommendation, with a focus on end-to-end generative recommendation algorithms and Semantic ID construction.
News
🔬 Released UniSID: A unified SID generation method for generative ad recommendation.
🎉 One paper has been accepted at AAAI 2026.
🚀 Started research internship at Tencent.
🌟 Started my PhD at Wuhan University.
🎖️ Honored as Outstanding Master's Graduate of Zhejiang Province.
🎉 One paper has been accepted by IEEE TNNLS.
🎉 One paper has been accepted at IEEE ICDM 2024.
🎉 One paper has been accepted by IEEE TIFS.
🎉 One paper has been accepted by Information Sciences.
Selected Publications
View All →Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning
Xinxun Zhang, Pengfei Jiao, Mengzhou Gao, Tianpeng Li, Xuan Guo
Proceedings of the AAAI Conference on Artificial Intelligence
CCF-AVGGM: Variational Graph Gaussian Mixture Model for Unsupervised Change Point Detection in Dynamic Networks
Xinxun Zhang, Pengfei Jiao, Mengzhou Gao, Tianpeng Li, Yiming Wu, Huaming Wu, Zhidong Zhao
IEEE Transactions on Information Forensics and Security
CCF-AInternship
Tencent
Reserach Intern
Generative Recommendation for Ad
Tencent
Reserach Intern
Generative Recommendation Infra