FedCliP: Federated Learning with Client Pruning. - Beibei Li 002; Zerui Shao; Ao Liu 005; Peiran Wang (CoRR, 2023)

Energizing Federated Learning via Filter-Aware Attention. - Ziyuan Yang 001; Zerui Shao; Huijie Huangfu; Hui Yu; Andrew Beng Jin Teoh; Xiaoxiao Li; Hongming Shan; Yi Zhang 018 (CoRR, 2023)

Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach. - Beibei Li 002; Peiran Wang; Zerui Shao; Ao Liu 005; Yukun Jiang 001; Yizhou Li (Future Gener. Comput. Syst., 2023)

Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling on-the-Fly for Moving Object Detection. - Zerui Shao; Yifei Pu; Jiliu Zhou; Bihan Wen; Yi Zhang 018 (IEEE Trans. Multim., 2023)

FedUFD: Personalized Edge Computing Using Federated Uncertainty-Driven Feature Distillation. - Zerui Shao; Beibei Li 002; Zhibo Wang; Yanbing Yang; Peiran Wang; Jun Luo (INFOCOM, 2025)

FedRIR: Rethinking Information Representation in Federated Learning. - Yongqiang Huang 003; Zerui Shao; Ziyuan Yang 001; Zexin Lu; Yi Zhang 018 (WWW, 2025)

FedRIR: Rethinking Information Representation in Federated Learning. - Yongqiang Huang 003; Zerui Shao; Ziyuan Yang; Zexin Lu; Yi Zhang 018 (CoRR, 2025)

FedLoRE: Communication-Efficient and Personalized Edge Intelligence Framework via Federated Low-Rank Estimation. - Zerui Shao; Beibei Li 002; Peiran Wang; Yi Zhang 018; Kim-Kwang Raymond Choo (IEEE Trans. Parallel Distributed Syst., 2025)