Leveraging Monte Carlo Dropout for Uncertainty Quantification in Real-Time Object Detection of Autonomous Vehicles. - Rui Zhao 021; Kui Wang 003; Yang Xiao; Fei Gao 020; Zhenhai Gao (IEEE Access, 2024)

Adaptive Cruise Control Based on Safe Deep Reinforcement Learning. - Rui Zhao 021; Kui Wang 003; Wenbo Che; Yun Li; Yuze Fan; Fei Gao 020 (Sensors, 2024)

Constraint-Guided Behavior Transformer for Centralized Coordination of Connected and Automated Vehicles at Intersections. - Rui Zhao 021; Yuze Fan; Yun Li; Kui Wang 003; Fei Gao 020; Zhenhai Gao (Sensors, 2024)

Centralized Cooperation for Connected Autonomous Vehicles at Intersections by Safe Deep Reinforcement Learning. - Rui Zhao 021; Yun Li; Kui Wang 003; Yuze Fan; Fei Gao 020; Zhenhai Gao (IEEE Trans. Mob. Comput., 2024)

Centralized cooperative control for autonomous vehicles at unsignalized all-directional intersections: A multi-agent projection-based constrained policy optimization approach. - Rui Zhao 021; Kui Wang 003; Yun Li; Yuze Fan; Fei Gao 020; Zhenhai Gao (Expert Syst. Appl., 2025)

Bi-Level Optimization for Closed-Loop Model Reference Adaptive Vibration Control in Wheeled-Legged Multimode Vehicles. - Yechen Qin; Zhewei Zhu; Yunping Zhou; Guangyu Bai; Kui Wang 003; Tao Xu (IEEE Trans. Ind. Electron., 2025)

Safe Multi-Agent Deep Reinforcement Learning for the Management of Autonomous Connected Vehicles at Future Intersections. - Rui Zhao 021; Kui Wang 003; Yun Li; Yuze Fan; Fei Gao 020; Zhenhai Gao (IEEE Trans. Parallel Distributed Syst., 2025)