About Me

I am a Ph.D. student in the School of Computing at National University of Singapore (NUS), jointly advised by Prof. Bryan Hooi and Prof. Xavier Bresson. Before joining NUS, I received my B.S. in the School of Computer Science at Fudan University.

My research interests primary focus on graph learning and large language models (LLMs). I am currently working on topics related to LLMs, such as Retrieval-Augmented Generation and multimodal (graph) reasoning. My research is supported by the Google PhD Fellowship.

Selected Publications

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
- Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
- NeurIPS’24 [Paper|Poster|Blog|Code]
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
- Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi
- ICLR’24 [Paper|Poster|Code]
A Generalization of ViT/MLP-Mixer to Graphs
- Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
- ICML’23 [Paper|Poster|Code]