Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
ICML 2025
Hi! Iโm Zhixiang Shen, a Ph.D. student in Computer Science at the University of Illinois Chicago, advised by Prof. Philip S. Yu.
My research interests include AI Agents, Large Language Models, and Graph Foundation Models. Previously, I worked on graph machine learning, including graph structure learning, heterogeneous graphs, and graph foundation models.
I received my B.Eng. degree in Computer Science from the University of Electronic Science and Technology of China (UESTC) in 2021โ2025, where I worked closely with Prof. Zhao Kang.
I am interested in building intelligent and efficient learning systems that can reason over structured information and interact with complex environments.
* indicates equal contribution.
ICML 2025
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025
NeurIPS 2024
ACM Multimedia 2024