Latency Prediction for Delay-sensitive V2X Applications in Mobile Cloud/Edge Computing Systems. - Wenhan Zhang 003; Mingjie Feng; Marwan Krunz; Haris Volos 002 (GLOBECOM, 2020)

Task Partitioning and User Association for Latency Minimization in Mobile Edge Computing Networks. - Mingjie Feng; Marwan Krunz; Wenhan Zhang 003 (INFOCOM Workshops, 2021)

Signal Detection and Classification in Shared Spectrum: A Deep Learning Approach. - Wenhan Zhang 003; Mingjie Feng; Marwan Krunz; Amirhossein Yazdani Abyaneh (INFOCOM, 2021)

Intelligent Jamming of Deep Neural Network Based Signal Classification for Shared Spectrum. - Wenhan Zhang 003; Marwan Krunz; Gregory Ditzler (MILCOM, 2021)

Joint Task Partitioning and User Association for Latency Minimization in Mobile Edge Computing Networks. - Mingjie Feng; Marwan Krunz; Wenhan Zhang 003 (IEEE Trans. Veh. Technol., 2021)

Machine Learning Based Protocol Classification in Unlicensed 5 GHz Bands. - Wenhan Zhang 003; Marwan Krunz (ICC Workshops, 2022)

Dynamic Spectrum Access in Non-stationary Environments: A DRL-LSTM Integrated Approach. - Mingjie Feng; Wenhan Zhang 003; Marwan Krunz (ICNC, 2023)

CyPA: A Cyclic Prefix Assisted DNN for Protocol Classification in Shared Spectrum. - Wenhan Zhang 003; Marwan Krunz; Md. Rabiul Hossain (ICNC, 2024)

DL-SIC: Deep Learning Aided Successive Interference Cancellation in Shared Spectrum. - Zhiwu Guo; Wenhan Zhang 003; Ming Li 003; Marwan Krunz; Mohammad Hossein Manshaei (ICNC, 2024)

Filtered Randomized Smoothing: A New Defense for Robust Modulation Classification. - Wenhan Zhang 003; Meiyu Zhong; Ravi Tandon; Marwan Krunz (MILCOM, 2024)

Secure Machine Learning Based RF Signal Classification for Wireless Systems. - Wenhan Zhang 003 (2024)

Latency Estimation and Computational Task Offloading in Vehicular Mobile Edge Computing Applications. - Wenhan Zhang 003; Mingjie Feng; Marwan Krunz (IEEE Trans. Veh. Technol., 2024)