Dynamic online convex optimization with long-term constraints via virtual queue. - Xiaofeng Ding 001; Lin Chen 033; Pan Zhou 001; Zichuan Xu; Shiping Wen 001; John C. S. Lui; Hai Jin 001 (Inf. Sci., 2021)

Differentially Private Deep Learning with Iterative Gradient Descent Optimization. - Xiaofeng Ding 001; Lin Chen 033; Pan Zhou 001; Wenbin Jiang 001; Hai Jin 001 (Trans. Data Sci., 2021)

VFLH: A Following-the-Leader-History Based Algorithm for Adaptive Online Convex Optimization with Stochastic Constraints. - Yifan Yang; Lin Chen 033; Pan Zhou 001; Xiaofeng Ding 001 (ICTAI, 2023)

Differentially Private Deep Learning With Dynamic Privacy Budget Allocation and Adaptive Optimization. - Lin Chen 033; Danyang Yue; Xiaofeng Ding 001; Zuan Wang; Kim-Kwang Raymond Choo; Hai Jin 001 (IEEE Trans. Inf. Forensics Secur., 2023)

Distributed dynamic online learning with differential privacy via path-length measurement. - Lin Chen 033; Xiaofeng Ding 001; Pan Zhou 001; Hai Jin 001 (Inf. Sci., 2023)

Differentially Private Federated Learning With Importance Client Sampling. - Lin Chen 033; Xiaofeng Ding 001; Mengqi Li; Hai Jin 001 (IEEE Trans. Consumer Electron., 2024)

Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization. - Lin Chen 033; Xiaofeng Ding 001; Zhifeng Bao; Pan Zhou 001; Hai Jin 001 (IEEE Trans. Knowl. Data Eng., 2024)

Privacy-preserving federated learning with intermediate-level model sharing. - Hashan Ratnayake; Lin Chen 033; Xiaofeng Ding 001 (Expert Syst. Appl., 2025)

Efficient and Secure Content-Based Image Retrieval in Cloud-Assisted Internet of Things. - Lin Chen 033; Yiwei Yang 003; Li Yang 005; Chao Xu; Yinbin Miao; Zhiquan Liu; Ximeng Liu; Kim-Kwang Raymond Choo; Zhihong Liang; Chao Hong (IEEE Internet Things J., 2025)