About me
I’m a third-year Ph.D. student at Peking University (School of Computer Science). Previously, I received an Honors Degree in Computer Science from Beijing Institute of Technology.
Research interests: LLM agents and federated learning.
Feel free to contact me if you’d like to discuss ideas or collaborate.
Education
- 2023/09 - present: Peking University, School of Computer Science
- 2019/09 - 2023/06: Beijing Institute of Technology, XuTeLi School, Computer Science
Publications
* indicates equal contribution
FedSRD: Sparsify-Reconstruct-Decompose for Communication-Efficient Federated Large Language Models Fine-Tuning (WWW 2026 Oral)
Guochen Yan, Luyuan Xie, Qingni Shen, Yuejian Fang, Zhonghai Wu
Paper Code
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis (CVPR 2025)
Luyuan Xie, Tianyu Luan, Wenyuan Cai, Guochen Yan, Zhaoyu Chen, Nan Xi, Yuejian Fang, Qingni Shen, Zhonghai Wu, Junsong Yuan
Paper
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning (VLDB 2025)
Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang
Paper Code
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis (AAAI 2025)
Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu
Paper Code
NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention (SIGMOD 2024)
Wentao Zhang*, Guochen Yan*, Yu Shen, Yang Ling, Yangyu Tao, Bin Cui, Jian Tang
Paper Code
A novel open-set clustering algorithm (Information Sciences 2023)
Qi Li*, Guochen Yan*, Shuliang Wang, Boxiang Zhao
Paper Code
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 Fraser University), 2022/08 - 2022/11
- Direction: Data provenance tracking system
- Research intern on clustering algorithm (Supervisor: Dr. Qi Li and Prof. Shuliang Wang, Beijing Institute 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++
- Framework: Pytorch, PyG, transformers, trl, swift-megatron
- Tools: Git, LaTeX, Slurm