Modeling Global Distribution for Federated Learning with Label Distribution Skew. - Tao Sheng; Chengchao Shen; Yuan Liu 038; Yeyu Ou; Zhe Qu; Jianxin Wang 001 (CoRR, 2022)

Personalized federated adaptive regularization for heterogeneous medical image classification: COVID-19 CT results. - Yuan Liu 038; Zhe Qu; Shu Wang; Tao Sheng; Xiaoqing Yu; Jian-xin Wang 001 (BIBM, 2023)

Modeling global distribution for federated learning with label distribution skew. - Tao Sheng; Chengchao Shen; Yuan Liu 038; Yeyu Ou; Zhe Qu; Yixiong Liang; Jianxin Wang 001 (Pattern Recognit., 2023)

FedGCA: Global Consistent Augmentation Based Single-Source Federated Domain Generalization. - Yuan Liu 038; Shu Wang; Zhe Qu; Xingyu Li; Shichao Kan; Jianxin Wang 001 (ICME, 2024)

FedMMR: Multi-Modal Federated Learning via Missing Modality Reconstruction. - Shu Wang; Zhe Qu; Yuan Liu 038; Shichao Kan; Yixiong Liang; Jianxin Wang 001 (ICME, 2024)

A Multimodal Federated Learning Framework for Modality Incomplete Scenarios in Healthcare. - Ying An; Yaqi Bai; Yuan Liu 038; Lin Guo 014; Xianlai Chen (ISBRA (2), 2024)

Feddaw: Dual Adaptive Weighted Federated Learning for Non-IID Medical Data. - Linan Ren; Kaixin Li; Ying An; Yuan Liu 038; Xianlai Chen (ISBRA (3), 2024)

A unified Personalized Federated Learning framework ensuring Domain Generalization. - Yuan Liu 038; Zhe Qu; Shu Wang; Chengchao Shen; Yixiong Liang; Jianxin Wang 001 (Expert Syst. Appl., 2025)

Compressed Hierarchical Federated Learning for Edge-Level Imbalanced Wireless Networks. - Yuan Liu 038; Zhe Qu; Jianxin Wang 001 (IEEE Trans. Comput. Soc. Syst., 2025)