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. My research interests primary focus on deep learning on graphs.

Before joining NUS, I received my B.S. in the School of Computer Science at Fudan University, supervised by Prof. Yang Chen.

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
    • arXiv’24 [Paper|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]
  • Large-Scale Deep Learning Optimizations: A Comprehensive Survey
    • Xiaoxin He, Fuzhao Xue, Xiaozhe Ren, Yang You
    • arXiv’21 [Paper]

Recent News

  • [2024.05] Invited by ByteDance to give a talk on G-Retriever (hosted by Chen Cheng).
  • [2024.01] One paper accepted to ICLR 2024.
  • [2023.12] Our workshop on Graph Foundation Models got accepted at the WebConf 2024 as a full-day workshop.
  • [2023.06] Introduced Awesome-Graph-LLM , a collection of awesome things about graph-related large language models.


  • 2021.08 - Present, PhD student in the School of Computing, National University of Singapore, Singapore
  • 2017.09 - 2021.06, Undergraduate in the School of Computer Science, Fudan University, Shanghai, China


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