Multimode Energy Management for Plug-In Hybrid Electric Buses Based on Driving Cycles Prediction. - Zheng Chen 013; Liang Li 004; Bingjie Yan; Chao Yang 006; Clara Marina Martinez; Dongpu Cao (IEEE Trans. Intell. Transp. Syst., 2016)

Application-Oriented Stochastic Energy Management for Plug-in Hybrid Electric Bus With AMT. - Liang Li 004; Bingjie Yan; Chao Yang 006; Yuanbo Zhang; Zheng Chen 013; Guirong Jiang (IEEE Trans. Veh. Technol., 2016)

Temporal-Difference Learning-Based Stochastic Energy Management for Plug-in Hybrid Electric Buses. - Zheng Chen 013; Liang Li 004; Xiaosong Hu; Bingjie Yan; Chao Yang 006 (IEEE Trans. Intell. Transp. Syst., 2019)

Encryption Algorithm for TCP Session Hijacking. - Minghan Chen; Fangyan Dai; Bingjie Yan; Jieren Cheng (ICAIS (2), 2020)

Encryption Algorithm for TCP Session Hijacking. - Minghan Chen; Fangyan Dai; Bingjie Yan; Jieren Cheng; Longjuan Wang (CoRR, 2020)

Experiments of Federated Learning for COVID-19 Chest X-ray Images. - Boyi Liu; Bingjie Yan; Yize Zhou; Yifan Yang; Yixian Zhang (CoRR, 2020)

A Real-time Contribution Measurement Method for Participants in Federated Learning. - Boyi Liu; Bingjie Yan; Yize Zhou; Jun Wang; Li Liu; Yuhan Zhang; Xiaolan Nie (CoRR, 2020)

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 (HPCC/DSS/SmartCity/DependSys, 2021)

FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning. - Bingjie Yan; Boyi Liu; Lujia Wang 001; Yize Zhou; Zhixuan Liang; Ming Liu 001; Cheng-Zhong Xu 001 (IJCNN, 2021)

Design and Implementation of A Novel Internet of Things Irrigation System With A Precision Irrigation Robot. - Minghan Chen; Yilong Sun; Boyi Liu; Bingjie Yan; Xiulai Li; Kai Lu; Tenglong Ren; Bin Ma 026; Yangyang Tian (RCAR, 2021)

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 001 (ICPADS, 2023)

AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation. - Bingjie Yan; Xinlong Jiang; Yiqiang Chen 001; Chenlong Gao; Xuequn Liu (ICPADS, 2023)

UbiMeta: A Ubiquitous Operating System Model for Metaverse. - Yiqiang Chen 001; Wuliang Huang; Xinlong Jiang; Teng Zhang; Yi Wang; Bingjie Yan; Zhirui Wang; Qian Chen; Yunbing Xing; Dong Li; Guodong Long (Int. J. Crowd Sci., 2023)

EyeGraphGPT: Knowledge Graph Enhanced Multimodal Large Language Model for Ophthalmic Report Generation. - Zhirui Wang; Xinlong Jiang; Chenlong Gao; Fan Dong; Weiwei Dai; Bingyu Wang; Bingjie Yan; Qian Chen; Wuliang Huang; Teng Zhang; Yiqiang Chen (BIBM, 2024)

Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration. - Bingjie Yan; Qian Chen; Yiqiang Chen 001; Xinlong Jiang; Wuliang Huang; Bingyu Wang; Zhirui Wang; Chenlong Gao; Teng Zhang (CIKM, 2024)

Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare. - Qian Chen; Yiqiang Chen 001; Bingjie Yan; Xinlong Jiang; Xiaojin Zhang 002; Yan Kang 001; Teng Zhang; Wuliang Huang; Chenlong Gao; Lixin Fan; Qiang Yang 001 (ICDE, 2024)

Im2col-Winograd: An Efficient and Flexible Fused-Winograd Convolution for NHWC Format on GPUs. - Zhiyi Zhang; Pengfei Zhang; Zhuopin Xu; Bingjie Yan; Qi Wang (ICPP, 2024)

Correlation-Driven Multi-Modality Graph Decomposition for Cross-Subject Emotion Recognition. - Wuliang Huang; Yiqiang Chen 001; Xinlong Jiang; Chenlong Gao; Qian Chen; Teng Zhang; Bingjie Yan; Yifan Wang; Jianrong Yang (ACM Multimedia, 2024)

Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application. - Chuanpeng Yang; Wang Lu; Yao Zhu; Yidong Wang; Qian Chen; Chenlong Gao; Bingjie Yan; Yiqiang Chen 001 (CoRR, 2024)

Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint. - Juncheng Wang; Bingjie Yan; Yituo Liu (CoRR, 2024)

FedEYE: A scalable and flexible end-to-end federated learning platform for ophthalmology. - Bingjie Yan; Danmin Cao; Xinlong Jiang; Yiqiang Chen 001; Weiwei Dai; Fan Dong; Wuliang Huang; Teng Zhang; Chenlong Gao; Qian Chen; Zhen Yan; Zhirui Wang (Patterns, 2024)

PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching. - Qian Chen; Yiqiang Chen 001; Xinlong Jiang; Teng Zhang; Weiwei Dai; Wuliang Huang; Bingjie Yan; Zhen Yan; Wang Lu; Bo Ye (IEEE Trans. Knowl. Data Eng., 2024)

Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint. - Juncheng Wang 001; Bingjie Yan; Yituo Liu (AAAI, 2025)

Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks. - Yang Liu 165; Bingjie Yan; Tianyuan Zou; Jianqing Zhang; Zixuan Gu; Jianbing Ding; Xidong Wang; Jingyi Li; Xiaozhou Ye; Ye Ouyang; Qiang Yang 001; Ya-Qin Zhang (CoRR, 2025)

Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat. - Pusheng Xu; Xia Gong; Xiaolan Chen; Weiyi Zhang 004; Jiancheng Yang; Bingjie Yan; Meng Yuan; Yalin Zheng; Mingguang He; Danli Shi (CoRR, 2025)