Chenlong Gao
Orcid: 0000-0001-8827-7271
According to our database1,
Chenlong Gao
authored at least 19 papers
between 2017 and 2024.
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Bibliography
2024
FedEYE: A scalable and flexible end-to-end federated learning platform for ophthalmology.
Patterns, 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
MixPrompt: Enhancing Generalizability and Adversarial Robustness for Vision-Language Models via Prompt Fusion.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 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
2023
Bi-STAN: bilinear spatial-temporal attention network for wearable human activity recognition.
Int. J. Mach. Learn. Cybern., July, 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
2022
Proceedings of the IEEE Smartworld, 2022
ProtoPLSTM: An Interpretable Deep Learning Approach for Wearable Fine-Grained Fall Detection.
Proceedings of the IEEE Smartworld, 2022
2021
Neurocomputing, 2021
2020
WeDA: Designing and Evaluating A Scale-driven Wearable Diagnostic Assessment System for Children with ADHD.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020
2019
IEEE Trans. Knowl. Data Eng., 2019
An Effective Deep Learning Approach for Dialogue Emotion Recognition in Car-Hailing Platform.
Proceedings of the 2019 IEEE SmartWorld, 2019
Proceedings of the 2019 IEEE SmartWorld, 2019
Poster Abstract: A Wearable Diagnostic Assessment System for Attention Deficit Hyperactivity Disorder.
Proceedings of the 4th IEEE/ACM International Conference on Connected Health: Applications, 2019
2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017