I’m now a second-year PhD student in Peking University. Before that, I got an Honors Degree in Computer Science from Beijing Institute of Technology. I have a broad research interests including Trustworthy ML and Graph models.

Feel free to contact me if interested to discuss ideas and work together.

Email: guochen_yan@outlook.com

Education

• 2023/09 - present: Peking University, School of Computer Science
• 2019/09 - 2023/06: Beijing Institute of Technology, school of XuTeLi, majoring in computer science

Publications

* indicates equal contribution

• OpenFGL: A Comprehensive Benchmark for Federated Graph Learning. VLDB 2025 [paper] [code]

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

• FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis. AAAI 2025 [paper] [code]

  Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu

• NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. SIGMOD 2024 [paper][code]

  Wentao Zhang*, Guochen Yan*, Yu Shen, Yang Ling, Yangyu Tao, Bin Cui, Jian Tang

• A novel open-set clustering algorithm. Information Sciences 2023 [paper] [code]

  Qi Li*, Guochen Yan*, Shuliang Wang, Boxiang Zhao

Research

• Research intern in PKU-DAIR Lab (Supervisor: Dr. Wentao Zhang and Prof. Bin Cui, Peking University), 2023 - Now
  • Direction: Data-centric Large Language Models
• Research intern in PKU-DAIR Lab (Supervisor: Dr. Wentao Zhang and Prof. Bin Cui, Peking University), 2022 - 2023
  • Direction: Scalable Graph Neural Networks
• Mitacs research intern in Database System Lab (Supervisor: Prof. Jiannan Wang, Simon Farser University), 2022/08 - 2022/11
  • Direction: Data provenance tracking system
• Research intern on clustering algorithm (Supervisor: Dr. Qi Li and Prof. Shuliang Wang, Beijing Institution of Technology), 2021/09-2022/05
  • Direction: Robust and efficient clustering, outliers detection

Awards

• National Scholarship, 2020
• Excellent Graduates, 2023
• Multiple Academic Scholarship during 2020-2022
• Excellent Student during 2020-2022

Skills

• Programming language: Python, C/C++, Java
• Framework: Pytorch
• Tools: Git, LaTeX, Slurm