FedEdge AI-TC: A Semi-supervised Traffic Classification Method based on Trusted Federated Deep Learning for Mobile Edge Computing. - Pan Wang 001; Zeyi Li; Mengyi Fu; Zixuan Wang; Ze Zhang; Minyao Liu (CoRR, 2023)

A remaining useful life estimation method based on long short-term memory and federated learning for electric vehicles in smart cities. - Xuejiao Chen; Zhaonan Chen; Mu Zhang 010; Zixuan Wang; Minyao Liu; Mengyi Fu; Pan Wang 001 (PeerJ Comput. Sci., 2023)

Model Uncertainty Based Unsupervised Real-Time Drift Detection in Network Traffic Classification. - Minyao Liu; Pan Wang; Yingchun Ye; Xuejiao Chen (CyberSciTech, 2024)

Unsupervised Real-Time Flow Data Drift Detection Based on Model Logits for Internet of Things Network Traffic Classification. - Pan Wang 001; Minyao Liu; Zeyi Li; Zixuan Wang; Xuejiao Chen (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2024)

Resource-Constraint Deep Forest-Based Intrusion Detection Method in Internet of Things for Consumer Electronic. - Xuejiao Chen; Pan Wang 001; Yahong Yang; Minyao Liu (IEEE Trans. Consumer Electron., 2024)

Explainable Deep Learning-Based Feature Selection and Intrusion Detection Method on the Internet of Things. - Xuejiao Chen; Minyao Liu; Zixuan Wang; Yun Wang (Sensors, 2024)

Multi-ARCL: Multimodal adaptive relay-based distributed continual learning for encrypted traffic classification. - Zeyi Li; Minyao Liu; Pan Wang 001; Wangyu Su; Tianshui Chang; Xuejiao Chen; Xiaokang Zhou (J. Parallel Distributed Comput., 2025)

Trustworthy Generative Few-Shot Learning-Based Intrusion Detection Method in Internet of Things. - Ze Zhang; Pan Wang 001; Tianqi Zhang; Minyao Liu; Xiaokang Zhou (IEEE Trans. Consumer Electron., 2025)

IoV-BERT-IDS: Hybrid Network Intrusion Detection System in IoV Using Large Language Models. - Mengyi Fu; Pan Wang 001; Minyao Liu; Ze Zhang; Xiaokang Zhou (IEEE Trans. Veh. Technol., 2025)