Jun Luo

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 9

Top Topics

Multiclass Classification

Image Classification

Learning Process

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. CoRR (2023)
Zhengbo Zhou, Jun Luo, Gene Kitamura, Shandong Wu
Human not in the loop: objective sample difficulty measures for Curriculum Learning. CoRR (2023)
Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. ICCV (2023)
Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu
Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning. ISBI (2023)
Jun Luo, Shandong Wu
Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification. ISBI (2022)
Jun Luo, Shandong Wu
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. IJCAI (2022)
Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
Deep curriculum learning in task space for multi-class based mammography diagnosis. Medical Imaging: Computer-Aided Diagnosis (2022)
Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu
PGFed: Personalize Each Client's Global Objective for Federated Learning. CoRR (2022)
Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu
Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images. Medical Imaging: Computer-Aided Diagnosis (2021)