Artykuły udostępnione publicznie: - Jun LuoWięcej informacji
Dostępne w jakimś miejscu: 8
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning
J Luo, S Wu
Proceedings of IJCAI 2022, 2166--2173, 2022
Upoważnienia: US National Science Foundation, US National Institutes of Health
Fedsld: Federated learning with shared label distribution for medical image classification
J Luo, S Wu
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
Upoważnienia: US National Science Foundation, US National Institutes of Health
Fedperfix: Towards partial model personalization of vision transformers in federated learning
G Sun, M Mendieta, J Luo, S Wu, C Chen
Proceedings of the IEEE/CVF international conference on computer vision …, 2023
Upoważnienia: US National Science Foundation
Pgfed: Personalize each client's global objective for federated learning
J Luo, M Mendieta, C Chen, S Wu
Proceedings of the IEEE/CVF international conference on computer vision …, 2023
Upoważnienia: US National Science Foundation, US National Institutes of Health
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification
J Luo, G Kitamura, D Arefan, E Doganay, A Panigrahy, S Wu
MICCAI 2021 Workshop on Machine Learning in Medical Imaging, 555-564, 2021
Upoważnienia: US National Institutes of Health
Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images
J Luo, G Kitamura, E Doganay, D Arefan, S Wu
Medical Imaging 2021: Computer-Aided Diagnosis 11597, 247-252, 2021
Upoważnienia: US National Science Foundation, US National Institutes of Health
Human not in the loop: Objective sample difficulty measures for curriculum learning
Z Zhou, J Luo, D Arefan, G Kitamura, S Wu
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
Upoważnienia: US National Science Foundation, US National Institutes of Health
Deep curriculum learning in task space for multi-class based mammography diagnosis
J Luo, D Arefan, M Zuley, J Sumkin, S Wu
Medical Imaging 2022: Computer-Aided Diagnosis 12033, 85-90, 2022
Upoważnienia: US National Science Foundation, US National Institutes of Health
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