I’m a Ph.D. student in the School of Computer Science and Engineering at Sun Yat-sen University (SYSU). Before studying at SYSU, I received my B.S. (Computer Science and Engineering) degree at Shandong University in 2023. My research centers on graph machine learning, federated learning, and their intersection. I’ve dedicated efforts to modeling relational data, aiming to develop efficient and practical solutions. Feel free to reach out to me for any discussions or questions.

📝 Publication Highlights

(* denotes the equal contribution)

• OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning

  Xunkai Li *, Yinlin Zhu *, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang

  arXiv preprint (submitted to VLDB 2025)

• FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning

  Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li

  arXiv preprint (accepted by IJCAI 2024)

• FedGTA: Topology-aware Averaging for Federated Graph Learning

  Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Rong-Hua Li, Guoren Wang

  Proceedings of the VLDB Endowment (VLDB), 2024