Deep Learning for Network Traffic Prediction: An Overview. - Mengyi Fu; Pan Wang 001; Zixuan Wang; Zeyi Li (DASC/PiCom/CBDCom/CyberSciTech, 2023)

A novel network flow feature scaling method based on cloud-edge collaboration. - Zeyi Li; Ze Zhang; Mengyi Fu; Pan Wang 001 (TrustCom, 2023)

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)

Network traffic classification based on federated semi-supervised learning. - Zixuan Wang; Zeyi Li; Mengyi Fu; Yingchun Ye; Pan Wang 001 (J. Syst. Archit., 2024)

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)

FIR-GNN: A Graph Neural Network Using Flow Interaction Relationships for Intrusion Detection of Consumer Electronics in Smart Home Network. - Mengyi Fu; Pan Wang 001; Shidong Liu; Xuejiao Chen; Xiaokang Zhou (IEEE Trans. Consumer Electron., 2025)