Guochen Yan

According to our database, Guochen Yan authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Comprehensive Data-centric Overview of Federated Graph Learning.

Zhengyu Wu, Xunkai Li, Yinlin Zhu, Zekai Chen, Guochen Yan, Yanyu Yan, Hao Zhang, Yuming Ai, Xinmo Jin, Rong-Hua Li, Guoren Wang

CoRR, July, 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, Ronghua Li, Guoren Wang

Proc. VLDB Endow., January, 2025

dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis.

Luyuan Xie, Tianyu Luan, Wenyuan Cai, Guochen Yan, Zhaoyu Chen, Nan Xi, Yuejian Fang, Qingni Shen, Zhonghai Wu, Junsong Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis.

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Toward Personalized Federated Node Classification in One-shot Communication.

Guochen Yan, Xunkai Li, Luyuan Xie, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu

CoRR, 2024

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

CoRR, 2024

NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention.

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

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2023

A novel open-set clustering algorithm.

Qi Li, Guochen Yan, Shuliang Wang, Boxiang Zhao

Inf. Sci., November, 2023