A Distributed Network QoE Measurement Framework for Smart Networks in Smart Cities. - Jielun Zhang; Feng Ye; Yi Qian 001 (ISC2, 2018)

Autonomous Model Update Scheme for Deep Learning Based Network Traffic Classifiers. - Jielun Zhang; Fuhao Li; Hongyu Wu; Feng Ye (GLOBECOM, 2019)

An Ensemble-based Network Intrusion Detection Scheme with Bayesian Deep Learning. - Jielun Zhang; Fuhao Li; Feng Ye (ICC, 2020)

Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update. - Jielun Zhang; Fuhao Li; Feng Ye; Hongyu Wu (INFOCOM, 2020)

Intelligent and Application-Aware Network Traffic Prediction in Smart Access Gateways. - Jielun Zhang; Feng Ye; Yi Qian 001 (IEEE Netw., 2020)

Improvement on a Traffic Data Generator for Networking AI Algorithm Development. - Khalil Alsulami; Jielun Zhang; Feng Ye (GLOBECOM, 2021)

A Real Application Enabled Traffic Generator for Networking AI Model Development. - Khalil Alsulami; Jielun Zhang; Feng Ye (ICC, 2021)

Towards Detection of Zero-Day Botnet Attack in IoT Networks Using Federated Learning. - Jielun Zhang; Shicong Liang; Feng Ye; Rose Qingyang Hu; Yi Qian 001 (ICC, 2023)

Sustaining the High Performance of AI-Based Network Traffic Classification Models. - Jielun Zhang; Fuhao Li; Feng Ye (IEEE/ACM Trans. Netw., 2023)

Seamless Wireless Communication Platform for Internet of Things Applications. - Venkataramani Kumar; Jiahui Yu; Fuhao Li; Jielun Zhang; Feng Ye; Sanjeevi Karri; Guru Subramanyam (IEEE Wirel. Commun., 2023)

Automatic Modulation Recognition Across SNR Variability Via Domain Adversary. - Mohammad Ali; Jielun Zhang (VTC Fall, 2024)

Reduced-Overhead CSI Feedback for Massive MIMO through Selective Component Processing. - Fuhao Li; Ifiok Udoidiok; Jielun Zhang (VTC Fall, 2024)

A Comprehensive Study on Lightweight Convolution Techniques for Malicious Traffic Synthesis in Diffusion Models. - Fuhao Li; Ifiok Udoidiok; Jielun Zhang (IEEE Access, 2025)