Bingjie Yan
Orcid: 0000-0002-8810-9689
According to our database1,
Bingjie Yan
authored at least 25 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat.
CoRR, May, 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks.
CoRR, April, 2025
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching.
IEEE Trans. Knowl. Data Eng., December, 2024
FedEYE: A scalable and flexible end-to-end federated learning platform for ophthalmology.
Patterns, 2024
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint.
CoRR, 2024
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application.
CoRR, 2024
Correlation-Driven Multi-Modality Graph Decomposition for Cross-Subject Emotion Recognition.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Im2col-Winograd: An Efficient and Flexible Fused-Winograd Convolution for NHWC Format on GPUs.
Proceedings of the 53rd International Conference on Parallel Processing, 2024
Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
EyeGraphGPT: Knowledge Graph Enhanced Multimodal Large Language Model for Ophthalmic Report Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
FedTAM: Decentralized Federated Learning with a Feature Attention Based Multi-teacher Knowledge Distillation for Healthcare.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
2021
Design and Implementation of A Novel Internet of Things Irrigation System With A Precision Irrigation Robot.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
2020
CoRR, 2020
Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020
2019
Temporal-Difference Learning-Based Stochastic Energy Management for Plug-in Hybrid Electric Buses.
IEEE Trans. Intell. Transp. Syst., 2019
2016
Application-Oriented Stochastic Energy Management for Plug-in Hybrid Electric Bus With AMT.
IEEE Trans. Veh. Technol., 2016
Multimode Energy Management for Plug-In Hybrid Electric Buses Based on Driving Cycles Prediction.
IEEE Trans. Intell. Transp. Syst., 2016