| 2025 | AAAI | Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint. | Juncheng Wang, Bingjie Yan, Yituo Liu |
| 2024 | CIKM | Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration. | Bingjie Yan, Qian Chen, Yiqiang Chen, Xinlong Jiang, Wuliang Huang, Bingyu Wang, Zhirui Wang, Chenlong Gao, Teng Zhang |
| 2024 | ICDE | Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare. | Qian Chen, Yiqiang Chen, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang, Wuliang Huang, Chenlong Gao, Lixin Fan, Qiang Yang |
| 2024 | ICPP | Im2col-Winograd: An Efficient and Flexible Fused-Winograd Convolution for NHWC Format on GPUs. | Zhiyi Zhang, Pengfei Zhang, Zhuopin Xu, Bingjie Yan, Qi Wang |
| 2023 | ICPADS | FedTAM: Decentralized Federated Learning with a Feature Attention Based Multi-teacher Knowledge Distillation for Healthcare. | Tingting Mou, Xinlong Jiang, Jie Li, Bingjie Yan, Qian Chen, Teng Zhang, Wuliang Huang, Chenlong Gao, Yiqiang Chen |
| 2023 | ICPADS | AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation. | Bingjie Yan, Xinlong Jiang, Yiqiang Chen, Chenlong Gao, Xuequn Liu |
| 2021 | HPCC | A Novel Optimized Asynchronous Federated Learning Framework. | Zhicheng Zhou, Hailong Chen, Kunhua Li, Fei Hu, Bingjie Yan, Jieren Cheng, Xuyan Wei, Bernie Liu, Xiulai Li, Fuwen Chen, Yongji Sui |
| 2021 | IJCNN | FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning. | Bingjie Yan, Boyi Liu, Lujia Wang, Yize Zhou, Zhixuan Liang, Ming Liu, Cheng-Zhong Xu |