FLOWGAN: Unbalanced Network Encrypted Traffic Identification Method Based on GAN. - Zixuan Wang 007; Pan Wang 001; Xiaokang Zhou; Shuhang Li; Moxuan Zhang (ISPA/BDCloud/SocialCom/SustainCom, 2019)

PacketCGAN: Exploratory Study of Class Imbalance for Encrypted Traffic Classification Using CGAN. - Pan Wang 001; Shuhang Li; Feng Ye; Zixuan Wang 007; Moxuan Zhang (ICC, 2020)

Evaluation of feature selection on network traffic classification. - Yun Wang; Pan Wang 001; Zixuan Wang 007; Kailin Wu (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Convolutional One-Dimensional Variational Autoencoder Based Intrusion detection. - Kailin Wu; MengTing Cao; Pan Wang 001; Zixuan Wang 007 (DASC/PiCom/CBDCom/CyberSciTech, 2021)

An Explainable Intrusion Detection System. - Yun Wang; Pan Wang 001; Zixuan Wang 007; MengTing Cao (HPCC/DSS/SmartCity/DependSys, 2021)

Few-shot malicious traffic classification based on Siamese Neural Network. - Kailin Wu; Pan Wang 001; Zixuan Wang 007 (HPCC/DSS/SmartCity/DependSys, 2021)

ByteSGAN: A semi-supervised Generative Adversarial Network for encrypted traffic classification in SDN Edge Gateway. - Pan Wang 001; Zixuan Wang 007; Feng Ye; Xuejiao Chen (Comput. Networks, 2021)

ByteSGAN: A Semi-supervised Generative Adversarial Network for Encrypted Traffic Classification of SDN Edge Gateway in Green Communication Network. - Pan Wang 001; Zixuan Wang 007; Feng Ye; Xuejiao Chen (CoRR, 2021)

A Trusted Classification Method of Encrypted Traffic Based on Attention Mechanism. - Cheng Miao; Pan Wang 001; Zixuan Wang 007; Zeyi Li (DASC/PiCom/CBDCom/CyberSciTech, 2022)

A Survey of Quantitative Comparative Research on Intrusion Detection Algorithms in Wireless Sensor Networks. - Yahong Yang; Pan Wang 001; Zixuan Wang 007; Zeyi Li (DASC/PiCom/CBDCom/CyberSciTech, 2022)

SDN traffic anomaly detection method based on convolutional autoencoder and federated learning. - Zixuan Wang 007; Pan Wang 001; Zhixin Sun (GLOBECOM, 2022)

Deep Learning for Network Traffic Prediction: An Overview. - Mengyi Fu; Pan Wang 001; Zixuan Wang 007; Zeyi Li (DASC/PiCom/CBDCom/CyberSciTech, 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 007; 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 007; Minyao Liu; Mengyi Fu; Pan Wang 001 (PeerJ Comput. Sci., 2023)

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 007; Xuejiao Chen (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2024)

Network traffic classification based on federated semi-supervised learning. - Zixuan Wang 007; Zeyi Li; Mengyi Fu; Yingchun Ye; Pan Wang 001 (J. Syst. Archit., 2024)

Explainable Deep Learning-Based Feature Selection and Intrusion Detection Method on the Internet of Things. - Xuejiao Chen; Minyao Liu; Zixuan Wang 007; Yun Wang (Sensors, 2024)

Explainable Dual-Branch Combination Network With Key Words Embedding and Position Attention for Sentimental Analytics of Social Media Short Comments. - Zixuan Wang 007; Pan Wang 001; Lianyong Qi; Zhixin Sun; Xiaokang Zhou (IEEE Trans. Comput. Soc. Syst., 2025)

Two-Stage Energy Prediction With Prior Estimation and Dynamic Adaptation for Symbiotic IOV. - Zixuan Wang 007; Jingru Lu; Pan Wang 001; Jiyue Li; Xiaokang Zhou (IEEE Internet Things J., 2025)