A novel open-set clustering algorithm. - Qi Li 022; Guochen Yan; Shuliang Wang 001; Boxiang Zhao (Inf. Sci., 2023)

NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. - Wentao Zhang 001; Guochen Yan; Yu Shen 003; Ling Yang 006; Yangyu Tao; Bin Cui 001; Jian Tang 005 (SIGMOD Conference Companion, 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 001; Rong-Hua Li; Guoren Wang (CoRR, 2024)

Toward Personalized Federated Node Classification in One-shot Communication. - Guochen Yan; Xunkai Li; Luyuan Xie; Wentao Zhang 001; Qingni Shen; Yuejian Fang; Zhonghai Wu (CoRR, 2024)

FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis. - Guochen Yan; Luyuan Xie; Xinyi Gao 001; Wentao Zhang 001; Qingni Shen; Yuejian Fang; Zhonghai Wu (AAAI, 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 001 (CVPR, 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 001; Ronghua Li; Guoren Wang (Proc. VLDB Endow., 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, 2025)