Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images. - Jun Luo 010; Gene Kitamura; Emine Doganay; Dooman Arefan; Shandong Wu (Computer-Aided Diagnosis, 2021)

Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. - Jun Luo 010; Gene Kitamura; Dooman Arefan; Emine Doganay; Ashok Panigrahy; Shandong Wu (MLMI@MICCAI, 2021)

Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. - Jun Luo 010; Shandong Wu (IJCAI, 2022)

Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification. - Jun Luo 010; Shandong Wu (ISBI, 2022)

Deep curriculum learning in task space for multi-class based mammography diagnosis. - Jun Luo 010; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (Computer-Aided Diagnosis, 2022)

PGFed: Personalize Each Client's Global Objective for Federated Learning. - Jun Luo 010; Matías Mendieta; Chen Chen 001; Shandong Wu (ICCV, 2023)

FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. - Guangyu Sun 004; Matías Mendieta; Jun Luo 010; Shandong Wu; Chen Chen 001 (ICCV, 2023)

Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning. - Zhengbo Zhou; Jun Luo 010; Dooman Arefan; Gene Kitamura; Shandong Wu (ISBI, 2023)

Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models. - Jun Luo 010; Chen Chen 001; Shandong Wu (ICLR, 2025)