Analysis on in-vehicle information security defense. - Yue Huang; Guihe Qin; Tong Liu; Rui Zhao 021; Bo Zhao 005 (J. Comput. Methods Sci. Eng., 2016)

A rectangle bin packing optimization approach to the signal scheduling problem in the FlexRay static segment. - Rui Zhao 021; Guihe Qin; Jia-qiao Liu (Frontiers Inf. Technol. Electron. Eng., 2016)

Recursive Bayesian echo state network with an adaptive inflation factor for temperature prediction. - Biaobing Huang; Guihe Qin; Rui Zhao 021; Qiong Wu; Alireza Shahriari (Neural Comput. Appl., 2018)

ConvCaps: Multi-input Capsule Network for Brain Tumor Classification. - Yiming Cheng; Guihe Qin; Rui Zhao 021; Yanhua Liang; Minghui Sun (ICONIP (1), 2019)

Mixpred: Video Prediction Beyond Optical Flow. - Jie Yan; Guihe Qin; Rui Zhao 021; Yanhua Liang; Qianyi Xu (IEEE Access, 2019)

Security-Aware Scheduling for TTEthernet-Based Real-Time Automotive Systems. - Rui Zhao 021; Guihe Qin; Ying Lyu; Jie Yan (IEEE Access, 2019)

Online Safety Verification of Autonomous Driving Decision-Making Based on Dynamic Reachability Analysis. - Fei Gao 020; Cheng Luo; Fangyuan Shi; Xianqing Chen; Zhenhai Gao; Rui Zhao 021 (IEEE Access, 2023)

Collision Risk Assessment for Intelligent Vehicles Considering Multi-Dimensional Uncertainties. - Zhenhai Gao; Mingxi Bao; Taisong Cui; Fangyuan Shi; Xianqing Chen; Wenhao Wen; Fei Gao 020; Rui Zhao 021 (IEEE Access, 2024)

Constraints Driven Safe Reinforcement Learning for Autonomous Driving Decision-Making. - Fei Gao 020; Xiaodong Wang; Yuze Fan; Zhenhai Gao; Rui Zhao 021 (IEEE Access, 2024)

An Enhanced Vehicle Trajectory Prediction Model Leveraging LSTM and Social-Attention Mechanisms. - Senyao Qiao; Fei Gao 020; Jianghang Wu; Rui Zhao 021 (IEEE Access, 2024)

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)

Human-like mechanism deep learning model for longitudinal motion control of autonomous vehicles. - Zhenhai Gao; Tong Yu; Fei Gao 020; Rui Zhao 021; Tianjun Sun (Eng. Appl. Artif. Intell., 2024)

Goal-Guided Graph Attention Network with Interactive State Refinement for Multi-Agent Trajectory Prediction. - Jianghang Wu; Senyao Qiao; Haocheng Li; Boyu Sun; Fei Gao 020; Hongyu Hu; Rui Zhao 021 (Sensors, 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)

Multi-Attack Intrusion Detection for In-Vehicle CAN-FD Messages. - Fei Gao 020; Jinshuo Liu; Yingqi Liu; Zhenhai Gao; Rui Zhao 021 (Sensors, 2024)

Multi-Agent Constrained Policy Optimization for Conflict-Free Management of Connected Autonomous Vehicles at Unsignalized Intersections. - Rui Zhao 021; Yun Li; Fei Gao 020; Zhenhai Gao; Tianyao Zhang (IEEE Trans. Intell. Transp. Syst., 2024)

Towards Robust Decision-Making for Autonomous Highway Driving Based on Safe Reinforcement Learning. - Rui Zhao 021; Ziguo Chen; Yuze Fan; Yun Li; Fei Gao 020 (Sensors, 2024)

DriveLLaVA: Human-Level Behavior Decisions via Vision Language Model. - Rui Zhao 021; Qirui Yuan; Jinyu Li; Yuze Fan; Yun Li; Fei Gao 020 (Sensors, 2024)

Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions. - Fei Gao 020; Xiaojun Ge; Jinyu Li; Yuze Fan; Yun Li; Rui Zhao 021 (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)

Sequence Decision Transformer for Adaptive Traffic Signal Control. - Rui Zhao 021; Haofeng Hu; Yun Li; Yuze Fan; Fei Gao 020; Zhenhai Gao (Sensors, 2024)

A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforcement Learning: Applications, Challenges, and Solutions. - Rui Zhao 021; Yun Li; Yuze Fan; Fei Gao 020; Manabu Tsukada; Zhenhai Gao (IEEE Trans. Intell. Transp. Syst., 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)

Signal-relationship-aware explainable intrusion detection in controller area networks using graph transformers. - Fei Gao 020; Jinshuo Liu; Chengzhe Li; Zhenhai Gao; Rui Zhao 021 (Knowl. Based Syst., 2025)

Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning. - Rui Zhao 021; Qirui Yuan; Jinyu Li; Haofeng Hu; Yun Li; Chengyuan Zheng; Fei Gao 020 (CoRR, 2025)

Constrained Reinforcement-Learning-Enabled Policies With Augmented Lagrangian for Cooperative Intersection Management. - Zhenhai Gao; Hesheng Hao; Fei Gao 020; Rui Zhao 021 (IEEE Internet Things J., 2025)

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy. - Rui Zhao 021; Yuze Fan; Ziguo Chen; Fei Gao 020; Zhenhai Gao (CoRR, 2025)

Multimodal Trajectory Prediction Coupled With Ego Vehicle Motion Trend Under Target Anchor-Driven Graph Attention Network. - Zhenhai Gao; Mingxi Bao; Fei Gao 020; Minghong Tang; Naixuan Zhu; Rui Zhao 021 (IEEE Internet Things J., 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)