A D2D Based Clustering Scheme for Public Safety Communications. - Sohan Gyawali; Shengjie Xu; Feng Ye; Rose Qingyang Hu; Yi Qian 001 (VTC Spring, 2018)

Resource Allocation in Vehicular Communications Using Graph and Deep Reinforcement Learning. - Sohan Gyawali; Yi Qian 001; Rose Qingyang Hu (GLOBECOM, 2019)

Misbehavior Detection using Machine Learning in Vehicular Communication Networks. - Sohan Gyawali; Yi Qian 001 (ICC, 2019)

Machine Learning and Reputation Based Misbehavior Detection in Vehicular Communication Networks. - Sohan Gyawali; Yi Qian 001; Rose Qingyang Hu (IEEE Trans. Veh. Technol., 2020)

Challenges and Solutions for Cellular Based V2X Communications. - Sohan Gyawali; Shengjie Xu; Yi Qian 001; Rose Qingyang Hu (IEEE Commun. Surv. Tutorials, 2021)

Deep Reinforcement Learning Based Dynamic Reputation Policy in 5G Based Vehicular Communication Networks. - Sohan Gyawali; Yi Qian 001; Rose Qingyang Hu (IEEE Trans. Veh. Technol., 2021)

A Privacy-Preserving Misbehavior Detection System in Vehicular Communication Networks. - Sohan Gyawali; Yi Qian 001; Rose Qingyang Hu (IEEE Trans. Veh. Technol., 2021)

A Multi-objective Model for Misbehavior Detection in IoV. - Jiaqi Huang; Jiahuan Lv; Zhiguo Zhou; Sohan Gyawali; Yi Qian 001 (GLOBECOM, 2022)

Cyber Attacks Detection using Machine Learning in Smart Grid Systems. - Sohan Gyawali; Omar Beg (INFOCOM Workshops, 2022)

Local perception and BSM based misbehavior detection in Intelligent Transportation System. - Sohan Gyawali; Takayuki Shimizu; Hongsheng Lu; Michael Clifford; John B. Kenney; Yi Qian 001 (VTC Fall, 2022)

Distributed Neural Network-Based DDoS Detection in Vehicular Communication Systems. - Nicholas Jaton; Sohan Gyawali; Yi Qian 001 (ICSPCS, 2023)

Enhanced and Explainable Deep Learning-Based Intrusion Detection in IoT Networks. - Sohan Gyawali; Kamran Sartipi; Benjamin Van Ravesteyn; Jiaqi Huang; Yili Jiang (MILCOM, 2023)

Poster: Machine Learning Based False Position Detection Using Data-to-Image Transformation. - Xian Chen; Yili Jiang; Jiaqi Huan; Sohan Gyawali (MOST, 2024)

Leveraging Explainable AI for Actionable Insights in IoT Intrusion Detection. - Sohan Gyawali; Jiaqi Huang; Yili Jiang (SOSE, 2024)

Enhancing Phishing Detection with AI: A Novel Dataset and Comprehensive Analysis Using Machine Learning and Large Language Models. - Robin Chataut; Yusuf Usman; Chowdhury Mohammad Abid Rahman; Sohan Gyawali; Prashnna K. Gyawali (UEMCON, 2024)

The Dark Side of AI: Large Language Models as Tools for Cyber Attacks on Vehicle Systems. - Yusuf Usman; Prashnna K. Gyawali; Sohan Gyawali; Robin Chataut (UEMCON, 2024)

Semi-supervised Federated Learning for Misbehavior Detection of BSMs in Vehicular Networks. - Jiaqi Huang; Yili Jiang; Sohan Gyawali; Zhiguo Zhou; Fangtian Zhong (VTC Fall, 2024)

In-Progress: Augmenting Explainable AI with LLMs to Enhance User Trust in Intelligent Transportation Systems. - Sohan Gyawali; Yili Jiang; Jiaqi Huang (SP (Workshops), 2025)

Detecting Backdoor Attacks via Similarity in Semantic Communication Systems. - Ziyang Wei; Yili Jiang; Jiaqi Huang; Fangtian Zhong; Sohan Gyawali (CoRR, 2025)