Zero-day Vulnerability Inspired Hazard Assessment for Autonomous Driving Vehicles. - Zhonglin Hou; Hong Liu 006; Yan Zhang 002 (ICCT, 2019)

Attributes Based Bayesian Unknown Hazards Assessment for Digital Twin Empowered Autonomous Driving. - Zhonglin Hou; Hong Liu 006; Yan Zhang 002 (HPCC/DSS/SmartCity/DependSys, 2021)

Driver-TRN: An Approach to Driver Behavior Detection Enhanced SOTIF in Automated Vehicles. - Zhonglin Hou; Yongle Fu; Shouwei Wang; Dong Liu; Hong Liu; Yanzhao Yang (VTC Fall, 2023)

Large Language Model and Behaviour Tree Based Real-World Test Scenario Generation for Autonomous Vehicles. - Yuliang Li; Zhonglin Hou; Hong Liu (TrustCom, 2024)

Twin Scenarios Establishment for Autonomous Vehicle Digital Twin Empowered SOTIF Assessment. - Zhonglin Hou; Shouwei Wang; Hong Liu 006; Yanzhao Yang; Yan Zhang 002 (IEEE Trans. Intell. Veh., 2024)

Assessing Unknown Hazards for SOTIF Based on Twin Scenarios Empowered Autonomous Driving. - Zhonglin Hou; Dong Liu; Yanzhao Yang; Hong Liu 006 (IEEE Internet Things J., 2024)