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. |
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| 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
- Temporal Graph Learning Reading Group, Apr. 24, 2025, TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics. [Video] [Slide]