FedCAT: Towards Accurate Federated Learning via Device Concatenation. - Ming Hu 003; Tian Liu 005; Zhiwei Ling; Zhihao Yue; Mingsong Chen 001 (CoRR, 2022)

Model-Contrastive Learning for Backdoor Defense. - Zhihao Yue; Jun Xia 003; Zhiwei Ling; Ming Hu 003; Ting Wang 001; Xian Wei; Mingsong Chen 001 (CoRR, 2022)

FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment. - Zhiwei Ling; Zhihao Yue; Jun Xia 003; Ming Hu 003; Ting Wang 001; Mingsong Chen 001 (CoRR, 2022)

FedMR: Fedreated Learning via Model Recombination. - Ming Hu 003; Zhihao Yue; Zhiwei Ling; Xian Wei; Mingsong Chen 001 (CoRR, 2022)

FedCross: Towards Accurate Federated Learning via Multi-Model Cross Aggregation. - Ming Hu 003; Peiheng Zhou; Zhihao Yue; Zhiwei Ling; Yihao Huang 001; Yang Liu 003; Mingsong Chen 001 (CoRR, 2022)

GitFL: Adaptive Asynchronous Federated Learning using Version Control. - Ming Hu 003; Zeke Xia; Zhihao Yue; Jun Xia 003; Yihao Huang 001; Yang Liu 003; Mingsong Chen 001 (CoRR, 2022)

HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation. - Jun Xia 003; Yi Zhang; Zhihao Yue; Ming Hu 003; Xian Wei; Mingsong Chen 001 (CoRR, 2022)

FedEntropy: Efficient Federated Learning for Non-IID Scenarios Using Maximum Entropy Judgment-based Client Selection. - Zhiwei Ling; Zhihao Yue; Jun Xia 003; Ting Wang 001; Mingsong Chen 001; Xiang Lian 001 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Model-Contrastive Learning for Backdoor Elimination. - Zhihao Yue; Jun Xia 003; Zhiwei Ling; Ming Hu 003; Ting Wang 001; Xian Wei; Mingsong Chen 001 (ACM Multimedia, 2023)

GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning Using Version Control. - Ming Hu 003; Zeke Xia; Dengke Yan; Zhihao Yue; Jun Xia 003; Yihao Huang 001; Yang Liu 003; Mingsong Chen 001 (RTSS, 2023)

FedMR: Federated Learning via Model Recombination. - Ming Hu 003; Zhihao Yue; Zhiwei Ling; Yihao Huang 001; Cheng Chen 015; Xian Wei; Yang Liu 003; Mingsong Chen 001 (CoRR, 2023)

EqGAN: Feature Equalization Fusion for Few-shot Image Generation. - Yingbo Zhou; Zhihao Yue; Yutong Ye 001; Pengyu Zhang; Xian Wei; Mingsong Chen 001 (CoRR, 2023)

WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks. - Jun Xia 003; Zhihao Yue; Yingbo Zhou; Zhiwei Ling; Xian Wei; Mingsong Chen 001 (CoRR, 2023)

FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation. - Ming Hu 003; Peiheng Zhou; Zhihao Yue; Zhiwei Ling; Yihao Huang 001; Anran Li 001; Yang Liu 003; Xiang Lian 001; Mingsong Chen 001 (ICDE, 2024)

Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination. - Ming Hu 003; Zhihao Yue; Xiaofei Xie; Cheng Chen 015; Yihao Huang 001; Xian Wei; Xiang Lian 001; Yang Liu 003; Mingsong Chen 001 (KDD, 2024)

WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks. - Jun Xia 003; Zhihao Yue; Yingbo Zhou; Zhiwei Ling; Yiyu Shi 001; Xian Wei; Mingsong Chen 001 (NeurIPS, 2024)

EqGAN: Reformation-based Feature Equalization Fusion for Few-shot Image Generation. - Yingbo Zhou; Zhihao Yue; Yutong Ye 001; Pengyu Zhang; Xian Wei; Mingsong Chen 001 (ICASSP, 2025)

FiTGAN: Content Fusion with Style Transformation for Few-shot Image Generation. - Yingbo Zhou; Pengyu Zhang; Yutong Ye 001; Zhihao Yue; Xian Wei; Mingsong Chen 001 (ICASSP, 2025)