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]

Recent News

• [2025.03] Invited by Riot Games to give a talk on GraphRAG.
• [2024.02] Invited by Glasgow IR Group to give a talk on GraphLLM.
• [2025.01] LSCS was accepted to TMLR.
• [2024.11] Invited by Spanner Graph at Google to give a talk on GraphRAG
• [2024.07] New family member – I have an adorable kitten!!!
• [2023.06] Introduced Awesome-Graph-LLM , a collection of awesome things about graph-related large language models.

Selected Awards

• Google PhD Fellowship in machine intelligence, 2024
• Dean’s Graduate Research Excellence Award, NUS SoC, 2024

Professional Services

• Reviewer: ICML’22, NeurIPS’23, NeurIPS’24, ICLR’24, ICLR’25
• Organizer: LoG’24, LoG’25, WWW’25 Workshop

Teaching

• 2022/2023 Semester 2, Knowledge Discovery and Data Mining (CS5228)
• 2022/2023 Semester 1, Big Data Systems for Data Science (CS4225)