Mufei Li (李牧非)'s Homepage

PhD Student @ Georgia Institute of Technology

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I’m a second-year PhD student in machine learning at Georgia Institute of Technology, advised by Prof. Pan Li. My current research interests include retrieval-augmented generation (RAG) and graph generative models.

Prior to that, I was a software development engineer (SDE) at Amazon Web Services (AWS) Shanghai AI Lab. I received my bachelor’s degree in Honors Math from NYU Shanghai.

News

Feb 11, 2025 LayerDAG was selected as Spotlight (top 5.1%) at ICLR 2025!
Jan 26, 2025 SubgraphRAG, LayerDAG, and KGExplainer have been accepted by ICLR 2025! Congratulations to Siqi, Tengfei, and all the co-authors!
Dec 27, 2024 I will be a Research Scientist Intern at Meta Ranking and Foundational AI for Summer 2025, working with Dongqi Fu.
Dec 14, 2024 Check our new paper on LLM unlearning, Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning, a great effort led by Rongzhe and Eli!
Nov 12, 2024 Check our new paper on SubgraphRAG, a simple yet flexible and effective approach for knowledge-graph-based retrieval-augmented generation!

Selected Publications

  1. ICLR
    Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
    Mufei Li, Siqi Miao, and Pan Li
    In International Conference on Learning Representations, 2025
    Mufei Li and Siqi Miao contributed equally to this work.
  2. ICLR Spotlight
    LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
    Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas Sridharan, Ying Zhang, Tushar Krishna, and Pan Li
    In International Conference on Learning Representations, 2025
  3. TMLR
    GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
    Mufei Li, Eleonora Kreačić, Vamsi K. Potluru, and Pan Li
    Transactions on Machine Learning Research, 2024
  4. ACS Omega
    DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science
    Mufei Li, Jinjing Zhou, Jiajing Hu, Wenxuan Fan, Yangkang Zhang, Yaxin Gu, and George Karypis
    ACS Omega, 2021
  5. arXiv
    Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
    Minjie Wang, Da Zheng, Zihao Ye, Quan Gan, Mufei Li, Xiang Song, Jinjing Zhou, Chao Ma, Lingfan Yu, Yu Gai, Tianjun Xiao, Tong He, George Karypis, Jinyang Li, and Zheng Zhang
    arXiv preprint arXiv:1909.01315, 2019