孙笠 Li Sun

孙笠 Li Sun

Associate Professor

About Me

Dr. Sun, Li is currently an Associate Professor at Beijing University of Posts and Telecommunications, Beijing, China. Before joining BUPT, I have been an assistant professor (2021-2023), and associate professor (2024-2025) at North China Electric Power University (NCEPU), Beijing.

My research areas are foundation models and machine learning with special attentions to Riemannian geometry. I have published over 60 refereed top conference and journal papers, including ICML, NeurIPS, KDD, WWW, AAAI, IJCAI, WSDM, ICDM, CIKM, TOIS, TKDE, TWEB, TIST, TNSE, etc., amassing over 2200 citations on Google Scholar in the past 5 years. I routinely served as program committee member of flagship conferences and reviewer of IEEE/ACM transactions. He is the recipient of ACM CIKM 2022 best paper winners. I have been on the organization committee of IEEE DSS’24 and IEEE SocialCom’23. I have been a Guest Editor for the Springer JMLC and currently serve as a Guest Editor of IEEE TKDE Special Issue on Graph Foundation Models.

News

  • Benchmark LIFEBENCH (Evaluating Length Instruction Following in Large Language Models) has been accepted by NeurIPS 2025.

Selected Publications

  1. Li Sun, Zhenhao Huang, Ming Zhang, et. al. Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models, NeurIPS 2025. (CCF-A)
  2. Longzhu He, Chaozhuo Li, Peng Tang, Li Sun*, Sen Su*, Philip S. Yu, Devil’s Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols. KDD 2026. (CCF-A)
  3. Li Sun, Zhenhao Huang, Suyang Zhou, et. al. RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry, ACM TheWebConf 2025 (WWW), Oral. (CCF-A)
  4. Li Sun, Zhenhao Huang, Hao Peng, et. al. LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering, ICML 2024, Oral. (CCF-A)
  5. Li Sun, Zhenhao Huang, Qiqi Wan, et. al. Spiking Graph Neural Network on Riemannian Manifolds, NeurIPS 2024. (CCF-A )
  6. Li Sun, Jingbin Hu, Suyang Zhou, et. al. RicciNet: Deep Clustering via A Riemannian Generative Model, ACM TheWebConf 2024 (WWW). (CCF-A )
  7. Li Sun, Zhenhao Huang, Zixi Wang, et. al. Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning, AAAI 2024, Oral. (CCF-A )
  8. Li Sun, Zhongbao Zhang, Feiyang Wang, et. al. Aligning Dynamic Social Networks: An Optimization over Dynamic Graph Autoencoder, IEEE TKDE, 2023, 35(6): 5597-5611. (CCF-A)
  9. Li Sun, Feiyang Wang, Junda Ye, et. al. Congregate: Contrastive Graph Clustering in Curvature Spaces, IJCAI 2023. (CCF-A )
  10. Li Sun, Junda Ye, Hao Peng, et. al. A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning, CIKM 2022, pp. 1827-1836. Best Paper Winners (Honorable Mention, 6/283). (CCF-B, Best Paper Candidate)