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Lu Yi (易璐)

Renmin University of China, Beijing, China
Email: yilu AT ruc.edu.cn

I am currently a 3rd-year Ph.D. candidate at Gaoling School of Artificial Intelligence, Renmin University of China, where I am fortunate to be advised by Prof. Zhewei Wei. Before my graduate studies, I received my B.E. degree in Computer Science and Technology at School of Computer Science, Beijing University of Posts and Telecommunications in June 2022.

My research interests lie in deep learning and data mining on graph data. In particular, I am interested in Dynamic Graph Neural Network, graph unlearning, and sub-linear time algorithms for large-scale graph analysis problem.

News

Feb 11, 2025 Two papers, ScaleGUN and TGB-Seq, have been accepted by ICLR2025! ScaleGUN has been selected for a Spotlight presentation. A huge thanks to all my co-authors! You can check out the code for ScaleGUN here and the website for TGB-Seq here.
Apr 15, 2024 My co-first authored paper, “Random-Walk Probability Estimation on Dynamic Weighted Graphs”, has been accepted by J-CRAD2024. Many thanks to Hanzhi! Check out the paper and code.
Mar 19, 2024 One paper “A survey of dynamic graph neural networks” has been accepted by FCS2024. Many thanks to Yanping!
May 17, 2023 One paper “Optimal Dynamic Subset Sampling: Theory and Applications” has been accepted by KDD2023.

Talks

Selected publications

    • Future Link Prediction Without Memory or Aggregation. [arXiv] [PDF] [Code]
      Lu Yi, Runli Lei, Fengran Mo, Yanping Zheng, Zhewei Wei, and Yuhang Ye
      Preprint, 2025
    • Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier. [arXiv] [PDF] [Code]
      Lu Yi and Zhewei Wei
      International Conference on Learning Representations (ICLR), 2025. (Spotlight, 5.1%)
    • TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics. [arXiv] [PDF] [Code]
      Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, and Zengfeng Huang
      International Conference on Learning Representations (ICLR), 2025
    • A Survey of Dynamic Graph Neural Networks. [URL] [PDF]
      Yanping Zheng, Lu Yi, and Zhewei Wei
      Frontiers of Computer Science (FCS), 2024
    • Optimal Dynamic Subset Sampling: Theory and Applications. [arXiv] [PDF] [Poster]
      Lu YiHanzhi Wang, and Zhewei Wei
      Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
    • Random-Walk Probability Computation on Dynamic Weighted Graphs. [URL] [PDF] [Code]
      Wang Hanzhi, Yi Lu, Wei Zhewei, Gan Junhao, Yuan Ye, Wen Jirong, and Du Xiaoyong
      Journal of Computer Research and Development (J-CRAD 2024), 2024