FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device. - Zhengyi Zhong; Weidong Bao 001; Ji Wang 002; Xiaomin Zhu 001; Xiongtao Zhang (ACM Trans. Intell. Syst. Technol., 2022)

Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter. - Zhengyi Zhong; Weidong Bao 001; Ji Wang 002; Shuai Zhang 004; Jingxuan Zhou; Lingjuan Lyu; Wei Yang Bryan Lim (CVPR, 2025)

The Design, Implementation and Analysis of the Digital-Cloud Intangible Cultural Heritage System. - Yansha Guo; Zihan Chen; Yuanbo Wang; Jingjing Meng; Zhengyi Zhong; Linran Zhang (ICEIT, 2025)

CUT: Pruning Pre-trained Multi-task Models into Compact Models for Edge Devices. - Jingxuan Zhou; Weidong Bao 001; Ji Wang 002; Zhengyi Zhong (ICIC (17), 2025)

Efficient Multi-Task Modeling through Automated Fusion of Trained Models. - Jingxuan Zhou; Weidong Bao 001; Ji Wang 002; Zhengyi Zhong; Dayu Zhang (CoRR, 2025)

SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices. - Zhengyi Zhong; Weidong Bao 001; Ji Wang 002; Jianguo Chen; Lingjuan Lyu; Wei Yang Bryan Lim (CoRR, 2025)