Exploiting Ensemble Learning for Edge-assisted Anomaly Detection Scheme in e-healthcare System. - Wei Yao 016; Kuan Zhang 001; Chong Yu; Hai Zhao 002 (GLOBECOM, 2021)

Deep Transfer Learning for IoT Intrusion Detection. - Bing Xue; Hai Zhao 002; Wei Yao 016 (CNIOT, 2022)

A transfer fusion framework for body sensor networks (BSNs): Dynamic domain adaptation from distribution evaluation to domain evaluation. - Han Shi; Hai Zhao 002; Wei Yao 016 (Inf. Fusion, 2023)

Scalable anomaly-based intrusion detection for secure Internet of Things using generative adversarial networks in fog environment. - Wei Yao 016; Han Shi; Hai Zhao 002 (J. Netw. Comput. Appl., 2023)

Privacy-Preserving Collaborative Intrusion Detection in Edge of Internet of Things: A Robust and Efficient Deep Generative Learning Approach. - Wei Yao 016; Hai Zhao 002; Han Shi (IEEE Internet Things J., 2024)

Modeling Realistic Adversarial Traffic Against Deep-Learning-Based Intrusion Detection System in Industrial IoT. - Wei Yao 016; Haixia Peng; Qihao Li; Xuemin Shen (IEEE Internet Things J., 2025)