Chenlong Gao

Orcid: 0000-0001-8827-7271

According to our database1, Chenlong Gao authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

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

FedBone: Towards Large-Scale Federated Multi-Task Learning.
CoRR, 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
A Graph-Based Information Fusion Approach for ADHD Subtype Classification.
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
Deep unsupervised multi-modal fusion network for detecting driver distraction.
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
A Novel Feature Incremental Learning Method for Sensor-Based Activity Recognition.
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

A Driving Attention Detection Method Based on Head Pose.
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
A multistage collaborative filtering method for fall detection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017


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