An indirect reinforcement learning approach for ramp control under incident-induced congestion. - Chao Lu 006; Haibo Chen 002; Susan Grant-Muller (ITSC, 2013)

Speed and steering angle prediction for intelligent vehicles based on deep belief network. - Chunqing Zhao; Jianwei Gong; Chao Lu 006; Guangming Xiong; Weijie Mei (ITSC, 2017)

A learning model for personalized adaptive cruise control. - Xin Chen; Yong Zhai; Chao Lu 006; Jianwei Gong; Gang Wang (Intelligent Vehicles Symposium, 2017)

Transfer Learning for Driver Model Adaptation via Modified Local Procrustes Analysis. - Chao Lu 006; Fengqing Hu; Wenshuo Wang 001; Jianwei Gong; Zeliang Ding (Intelligent Vehicles Symposium, 2018)

Development and Evaluation of Two Learning-Based Personalized Driver Models for Pure Pursuit Path-Tracking Behaviors. - Zirui Li; Boyang Wang; Jianwei Gong; Tianyun Gao; Chao Lu 006; Gang Wang (Intelligent Vehicles Symposium, 2018)

Learning and Generalizing Motion Primitives From Driving Data for Path-Tracking Applications. - Boyang Wang; Zirui Li; Jianwei Gong; Yidi Liu; Huiyan Chen; Chao Lu 006 (Intelligent Vehicles Symposium, 2018)

Learning Driver-Specific Behavior for Overtaking: A Combined Learning Framework. - Chao Lu 006; Huaji Wang; Chen Lv; Jianwei Gong; Junqiang Xi; Dongpu Cao (IEEE Trans. Veh. Technol., 2018)

Hybrid-Learning-Based Classification and Quantitative Inference of Driver Braking Intensity of an Electrified Vehicle. - Chen Lv; Yang Xing; Chao Lu 006; Yahui Liu; Hongyan Guo; Hongbo Gao 001; Dongpu Cao (IEEE Trans. Veh. Technol., 2018)

A Comparative Study on Transferable Driver Behavior Learning Methods in the Lane-Changing Scenario. - Zirui Li; Chao Lu 006; Jianwei Gong; Fengqing Hu (ITSC, 2019)

Manifold Learning for Lane-changing Behavior Recognition in Urban Traffic. - Jinghang Li; Chao Lu 006; Youzhi Xu; Zhao Zhang; Jianwei Gong; Huijun Di (ITSC, 2019)

An Efficient Model for Driving Focus of Attention Prediction using Deep Learning. - Minghao Ning; Chao Lu 006; Jianwei Gong (ITSC, 2019)

Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario. - Zirui Li; Cheng Gong; Chao Lu 006; Jianwei Gong; Junyan Lu; Youzhi Xu; Fengqing Hu (IV, 2019)

A Personalized Behavior Learning System for Human-Like Longitudinal Speed Control of Autonomous Vehicles. - Chao Lu 006; Jianwei Gong; Chen Lv; Xin Chen; Dongpu Cao; Yimin Chen 003 (Sensors, 2019)

A Time-Efficient Approach for Decision-Making Style Recognition in Lane-Changing Behavior. - Sen Yang; Wenshuo Wang 001; Chao Lu 006; Jianwei Gong; Junqiang Xi (IEEE Trans. Hum. Mach. Syst., 2019)

Virtual-to-Real Knowledge Transfer for Driving Behavior Recognition: Framework and a Case Study. - Chao Lu 006; Fengqing Hu; Dongpu Cao; Jianwei Gong; Yang Xing; Zirui Li (IEEE Trans. Veh. Technol., 2019)

Hierarchical Reinforcement Learning Combined with Motion Primitives for Automated Overtaking. - Yang Yu; Chao Lu 006; Lei Yang; Zirui Li; Fengqing Hu; Jianwei Gong (IV, 2020)

Prediction of Pedestrian Risky Level for Intelligent Vehicles. - Zheyu Zhang 003; Chao Lu 006; Jinghang Li; Youzhi Xu; Junyan Lu; Zirui Li (IV, 2020)

Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis. - Zirui Li; Chao Lu 006; Cheng Gong; Jianwei Gong; Jinghang Li; Lianzhen Wei (CoRR, 2020)

A Cooperative Driving Strategy Based on Velocity Prediction for Connected Vehicles With Robust Path-Following Control. - Yimin Chen 003; Chao Lu 006; Wenbo Chu (IEEE Internet Things J., 2020)

Transfer Learning for Driver Model Adaptation in Lane-Changing Scenarios Using Manifold Alignment. - Chao Lu 006; Fengqing Hu; Dongpu Cao; Jianwei Gong; Yang Xing; Zirui Li (IEEE Trans. Intell. Transp. Syst., 2020)

Importance Weighted Gaussian Process Regression for Transferable Driver Behaviour Learning in the Lane Change Scenario. - Zirui Li; Jianwei Gong; Chao Lu 006; Junqiang Xi (IEEE Trans. Veh. Technol., 2020)

Early Recognition of Driving Intention for Lane Change Based on Recurrent Hidden Semi-Markov Model. - Qingxiao Liu; Shaohang Xu; Chao Lu 006; Hui Yao; Huiyan Chen (IEEE Trans. Veh. Technol., 2020)

Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle. - Cheng Gong; Jianwei Gong; Chao Lu 006; Zhe Liu; Zirui Li (CoRR, 2021)

Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent Vehicles: A Data-driven Approach. - Zheyu Zhang 003; Boyang Wang; Chao Lu 006; Jinghang Li; Cheng Gong; Jianwei Gong (CoRR, 2021)

Lateral and Longitudinal Driving Behavior Prediction Based on Improved Deep Belief Network. - Lei Yang; Chunqing Zhao; Chao Lu 006; Lianzhen Wei; Jianwei Gong (Sensors, 2021)

Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery. - Xianqi He; Lin Yang; Chao Lu 006; Zirui Li; Jianwei Gong (ITSC, 2022)

An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios. - Zirui Li; Yunlong Lin; Cheng Gong; Xinwei Wang 006; Qi Liu 020; Jianwei Gong; Chao Lu 006 (IV, 2022)

Personalized Driver Braking Behavior Modeling in the Car-Following Scenario: An Importance-Weight-Based Transfer Learning Approach. - Zirui Li; Jianwei Gong; Chao Lu 006; Jinghang Li (IEEE Trans. Ind. Electron., 2022)

Integrated Path Planning for Unmanned Differential Steering Vehicles in Off-Road Environment With 3D Terrains and Obstacles. - Jiaming Hu; Yuhui Hu; Chao Lu 006; Jianwei Gong; Huiyan Chen (IEEE Trans. Intell. Transp. Syst., 2022)

A Hierarchical Framework for Interactive Behaviour Prediction of Heterogeneous Traffic Participants Based on Graph Neural Network. - Zirui Li; Chao Lu 006; Yangtian Yi; Jianwei Gong (IEEE Trans. Intell. Transp. Syst., 2022)

Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains. - Chao Lu 006; Chen Lv; Jianwei Gong; Wenshuo Wang 001; Dongpu Cao; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Towards Online Risk Assessment for Human-Robot Interaction: A Data-Driven Hamilton-Jacobi-Isaacs Reachability Approach. - Hailong Gong; Zirui Li; Chao Lu 006; Jianwei Gong (ITSC, 2023)

A Learning-Based Controller for Trajectory Tracking of Autonomous Vehicles in Complex and Uncertain Scenarios. - Cheng Gong; Runqi Qiu; Yunlong Lin; Zirui Li; Jianwei Gong; Chao Lu 006 (ITSC, 2023)

Rethinking Trajectory Prediction in Real-World Applications: An Online Task-Free Continual Learning Perspective. - Yunlong Lin; Zirui Li; Cheng Gong; Qi Liu 020; Chao Lu 006; Jianwei Gong (ITSC, 2023)

Driver-Specific Risk Recognition in Interactive Driving Scenarios Using Graph Representation. - Jinghang Li; Chao Lu 006; Penghui Li; Zheyu Zhang 003; Cheng Gong; Jianwei Gong (IEEE Trans. Veh. Technol., 2023)

Fusion of Gaze and Scene Information for Driving Behaviour Recognition: A Graph-Neural-Network- Based Framework. - Yangtian Yi; Chao Lu 006; Boyang Wang; Long Cheng 006; Zirui Li; Jianwei Gong (IEEE Trans. Intell. Transp. Syst., 2023)

A Hippocampus-Inspired Dynamic Planning Method for Overtaking Scenes via Predictive Map. - Yupei Liu; Danni Chen; Chao Lu 006; Hongliang Lu; Meixin Zhu (ITSC, 2024)

Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach. - Yunlong Lin; Zirui Li; Cheng Gong; Chao Lu 006; Xinwei Wang 006; Jianwei Gong (IEEE Trans. Intell. Transp. Syst., 2024)

Leveraging Multi-Stream Information Fusion for Trajectory Prediction in Low-Illumination Scenarios: A Multi-Channel Graph Convolutional Approach. - Hailong Gong; Zirui Li; Chao Lu 006; Guodong Du 006; Jianwei Gong (IEEE Trans. Intell. Transp. Syst., 2024)

Object-Level Attention Prediction for Drivers in the Information-Rich Traffic Environment. - Qingxiao Liu; Hui Yao; Chao Lu 006; Haiou Liu; Yangtian Yi; Huiyan Chen (IEEE Trans. Ind. Electron., 2024)

Prediction of Pedestrian Spatial-Temporal Risk Levels for Intelligent Vehicles: A Data- Driven Approach. - Zheyu Zhang 003; Chao Lu 006; Gege Cui; Xianghao Meng; Cheng Gong; Jianwei Gong (IEEE Trans. Veh. Technol., 2024)

Beyond Imitation: A Life-Long Policy Learning Framework for Path Tracking Control of Autonomous Driving. - Cheng Gong; Chao Lu 006; Zirui Li; Zhe Liu; Jianwei Gong; Xuemei Chen (IEEE Trans. Veh. Technol., 2024)

Interactive Behavior Modeling for Vulnerable Road Users With Risk-Taking Styles in Urban Scenarios: A Heterogeneous Graph Learning Approach. - Zirui Li; Jianwei Gong; Zheyu Zhang 003; Chao Lu 006; Victor L. Knoop; Meng Wang 020 (IEEE Trans. Intell. Transp. Syst., 2024)

Enhancing Interpretability of Autonomous Driving via Human-Like Cognitive Maps: A Case Study on Lane Change. - Hongliang Lu; Yupei Liu; Meixin Zhu; Chao Lu 006; Hai Yang 003; Yinhai Wang (IEEE Trans. Intell. Veh., 2024)

Cross-cultural Deployment of Autonomous Vehicles Using Data-light Inverse Reinforcement Learning. - Hongliang Lu; Shuqi Shen; Junjie Yang; Chao Lu 006; Xinhu Zheng; Hai Yang 003 (CoRR, 2025)

Risk Assessment of Cyclists in the Mixed Traffic Based on Multilevel Graph Representation. - Gege Cui; Chao Lu 006; Yupei Liu; Junbin Wang; Xianghao Meng; Jianwei Gong (IEEE Trans. Intell. Transp. Syst., 2025)

Policy-Oriented Cognitive Risk Map Modeling for Lane Change via Deep Successor Representation. - Danni Chen; Chao Lu 006; Yupei Liu; Xianghao Meng; Jianwei Gong (IEEE Trans. Intell. Transp. Syst., 2025)