I got the Ph.D. degree from Zhejiang University, advised by Prof. Siliang Tang (汤斯亮). My research centers on two primary areas: (1) Graph-related studies, including Self-Supervised Graph Representation Learning and Graph Foundation Models, and (2) LLM-related studies, encompassing Efference Inference, Post-Training, and GraphRAG. Additionally, I explore integrating the strengths of these fields to advance model reasoning, with a particular emphasis on GraphRAG and text-attributed graph foundation models.

Specifically, we recently published the first comprehensive survey on GraphRAG, which formalizes the GraphRAG workflow. Moreover, we introduced a novel Graph Foundation Model, leveraging LLMs to achieve remarkable cross-domain and cross-task transferability.

Soon, I will join the Shanghai AI Lab as a Junior Researcher, under the mentorship of Dr. Lijun Wu.