Jun Luo

According to our database, Jun Luo authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning.

Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning.

Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PGFed: Personalize Each Client's Global Objective for Federated Learning.

Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep curriculum learning in task space for multi-class based mammography diagnosis.

Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification.

Jun Luo, Shandong Wu

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning.

Jun Luo, Shandong Wu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification.

Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images.

Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021