πŸ‘‹ Welcome to Rui Li's Homepage

πŸ§‘β€πŸŽ“ About Me

My name is Rui Li. I am currently a second-year PhD candidate in Renmin University of China, supervised by Prof. Xu Chen. Before embarking on my PhD journey, I received my BSc and MSc degrees in Computer Science at Dalian University of Technology, under the guidance of Prof. Yanming Shen. My current research mainly focuses on Self-Evolving LLM Agents and Retrieval-Augmented Generation. I also maintain a strong interest in GNNs and Knowledge Graphs, particularly their interactions with LLM systems.

πŸ—žοΈ News

  • πŸŽ‰πŸŽ‰ Two papers about LLM memory have been accepted by NeurIPS 2025.
  • πŸŽ‰ One paper about RAG has been accepted by KDD 2025.
  • πŸŽ‰ One paper about KG has been accepted by ICML 2024.
  • πŸŽ‰ One paper about KG has been accepted by ACL 2023.
  • πŸŽ‰πŸŽ‰ Two papers about KG and GNN have been accepted by ICML 2022.

πŸ’‘I am currently seeking internship opportunities related to Self-Evolving Agent/RAG Systems. Please feel free to contact me if you are interested in my research or background.

πŸ§‘β€πŸ’» Internship Experiences

  • Huawei Noah’s Ark Lab (Aug. 2024 – Oct. 2025)
    Worked on LLM agentic memory and self-bootstrapping retrieval-augmented generation.

  • Microsoft Research Asia (Oct. 2021 – Apr. 2023)
    Worked on knowledge representation learning and joint training of GNNs & LMs.

πŸ“š Selected Publications

  • CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
    Rui Li, Zeyu Zhang, Xiaohe Bo, Zihang Tian, Xu Chen, Quanyu Dai, Zhenhua Dong, Ruiming Tang
    NeurIPS 2025
    πŸ“„ Paper Β· πŸ’» Code

  • KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
    Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
    KDD 2025
    πŸ“„ Paper Β· πŸ’» Code

  • Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
    Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen
    ICML 2024
    πŸ“„ Paper Β· πŸ’» Code

  • To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
    Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
    ACL 2023 Main Conference
    πŸ“„ Paper Β· πŸ’» Code

  • HousE: Knowledge Graph Embedding with Householder Parameterization
    Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
    ICML 2022
    πŸ“„ Paper Β· πŸ’» Code

  • A New Perspective on the Effects of Spectrum in Graph Neural Networks
    Mingqi Yang, Yanming Shen, Rui Li, Heng Qi, Qiang Zhang, Baocai Yin
    ICML 2022
    πŸ“„ Paper Β· πŸ’» Code

πŸ† Awards

  • Outstanding Innovative Talents Cultivation Programs, Renmin University of China, 2024
  • Outstanding Master’s Thesis in Liaoning Province, 2023.
  • National Scholarship for Postgraduate Students, 2022.
  • Outstanding Graduate Student, Dalian University of Technology, 2022.
  • Outstanding Undergraduate Graduate, Dalian University of Technology, 2020.
  • First-class Academic Scholarship, Dalian University of Technology, 2017-2019.