Accurate Differentially Private Deep Learning on the Edge. - Rui Han 001; Dong Li; Junyan Ouyang; Chi Harold Liu; Guoren Wang; Dapeng Wu 001; Lydia Y. Chen (IEEE Trans. Parallel Distributed Syst., 2021)

Evaluating Differential Privacy in Federated Continual Learning. - Junyan Ouyang; Rui Han 001; Chi Harold Liu (VTC Fall, 2023)

RobustDA: Lightweight Robust Domain Adaptation for Evolving Data at Edge. - Xinyu Guo; Xiaojiang Zuo; Rui Han 001; Junyan Ouyang; Jing Xie; Chi Harold Liu; Qinglong Zhang; Ying Guo; Jing Chen 030; Lydia Y. Chen (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

Adaptive ensemble optimization for memory-related hyperparameters in retraining DNN at edge. - Yidong Xu; Rui Han 001; Xiaojiang Zuo; Junyan Ouyang; Chi Harold Liu; Lydia Y. Chen (Future Gener. Comput. Syst., 2025)

Accuracy-aware differential privacy in federated learning of large transformer models. - Junyan Ouyang; Rui Han 001; Xiaojiang Zuo; Yunlai Cheng; Chi Harold Liu (J. Inf. Secur. Appl., 2025)