FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis.
CoRR, 2024
Toward Personalized Federated Node Classification in One-shot Communication.
CoRR, 2024
MH-pFLGB: Model Heterogeneous Personalized Federated Learning via Global Bypass for Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
TRLS: A Time Series Representation Learning Framework Via Spectrogram for Medical Signal Processing.
Proceedings of the IEEE International Conference on Acoustics, 2024
Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images.
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Proceedings of the Computer Vision - ECCV 2024, 2024
SHISRCNet: Super-Resolution and Classification Network for Low-Resolution Breast Cancer Histopathology Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
A Privacy Preserving Computer-aided Medical Diagnosis Framework with Outsourced Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
TC-SKNet with GridMask for Low-complexity Classification of Acoustic scene.
CoRR, 2022
Sparsely Overlapped Speech Training in the Time Domain: Joint Learning of Target Speech Separation and Personal VAD Benefits.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021
Rapid Separation of Enantiomeric Impurities in Chiral Molecules by a Self-Referential Weak Measurement System.
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Sensors, 2018