I’m a Ph.D. student in the School of Computer Science and Engineering at Sun Yat-sen University (SYSU), supervised by Prof. Di Wu. 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!

🔥 News

  • 2026.07 Three papers are accepted by ACM MM 2026! 🎉
  • 2026.05 One paper is accepted by KDD 2026!
  • 2025.11 Two papers are accepted by AAAI 2026!
  • 2025.09 One paper is accepted by NeurIPS 2025!
  • 2025.08 One paper is accepted by CIKM 2025!
  • 2025.05 One paper is accepted by KDD 2025!
  • 2025.04 One paper is accepted by IJCAI 2025!

📝 Publications

(* denotes the equal contribution)

ACM MM 2026

Compose, Route, Complete: Text-Routed Vision Prototypes for Multimodal Point Cloud Completion

Wang Luo, Di Wu, Hengyuan Na, Yinlin Zhu, Shenghao Ye, Miao Hu, Guocong Quan

ACM MM 2026

MM-OpenFGL: A Comprehensive Benchmark for Multimodal Federated Graph Learning

Xunkai Li, Yuming Ai, Yinlin Zhu, Haodong Lu, Yi Zhang, Guohao Fu, Bowen Fan, Qiangqiang Dai, Rong-Hua Li, Guoren Wang

ACM MM 2026

TMTE: Effective Multimodal Graph Learning with Task-aware Modality and Topology Co-evolution

Yinlin Zhu, Xunkai Li, Di Wu, Wang Luo, Miao Hu, Di Wu

AAAI 2026

Rethinking Multimodal Point Cloud Completion: A Completion-by-Correction Perspective

Wang Luo, Di Wu, Hengyuan Na, Yinlin Zhu, Miao Hu, Guocong Quan

AAAI 2026

PAGE: A Unified Approach for Federated Graph Unlearning

Yuming Ai, Xunkai Li, Jiaqi Chao, Bowen Fan, Zhengyu Wu, Yinlin Zhu, Rong-Hua Li, Guoren Wang

NeurIPS 2025

Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement

Yinlin Zhu*, Xunkai Li*, Jishuo Jia, Miao Hu, Di Wu, Meikang Qiu

KDD 2025

Federated Continual Graph Learning

Yinlin Zhu, Miao Hu, Di Wu

IJCAI 2025

Rethinking Federated Graph Learning: A Data Condensation Perspective

Hao Zhang, Xunkai Li, Yinlin Zhu, Lianglin Hu

VLDB 2025

OpenFGL: A Comprehensive Benchmark 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

IJCAI 2024

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

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

VLDB 2024

FedGTA: Topology-aware Averaging for Federated Graph Learning

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

🎓 Educations

Sun Yat-sen University (SYSU), Guangzhou, China
Ph.D. Student, School of Computer Science and Engineering · Advisor: Prof. Di Wu
2023.09 – Present
Shandong University (SDU)
B.S. in Computer Science and Engineering
2019.09 – 2023.06

🏆 Honors and Awards

  • TBD To be updated.

💬 Academic Services

  • 🧑‍💻 Conference Reviewer: to be updated
  • 📖 Journal Reviewer: to be updated