Chao Lu - RankMe

59 papers B 4C 4Journal 41Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Complementary Learning System Empowers Online Continual Learning of Vehicle Motion Forecasting in Smart Cities. CoRR Zirui Li, Yunlong Lin, Guodong Du, Xiaocong Zhao, Cheng Gong, Chen Lv, Chao Lu, Jianwei Gong
2025	J	`jnl`	Cross-cultural Deployment of Autonomous Vehicles Using Data-light Inverse Reinforcement Learning. CoRR Hongliang Lu, Shuqi Shen, Junjie Yang, Chao Lu, Xinhu Zheng, Hai Yang
2025	J	`jnl`	Escaping Stability-Plasticity Dilemma in Online Continual Learning for Motion Forecasting via Synergetic Memory Rehearsal. CoRR Yunlong Lin, Chao Lu, Tongshuai Wu, Xiaocong Zhao, Guodong Du, Yanwei Sun, Zirui Li, Jianwei Gong
2025	J	`jnl`	H2C: Hippocampal Circuit-inspired Continual Learning for Lifelong Trajectory Prediction in Autonomous Driving. CoRR Yunlong Lin, Zirui Li, Guodong Du, Xiaocong Zhao, Cheng Gong, Xinwei Wang, Chao Lu, Jianwei Gong
2025	J	`jnl`	LT-Gaussian: Long-Term Map Update Using 3D Gaussian Splatting for Autonomous Driving. CoRR Luqi Cheng, Zhangshuo Qi, Zijie Zhou, Chao Lu, Guangming Xiong
2025	J	`jnl`	Policy-Oriented Cognitive Risk Map Modeling for Lane Change via Deep Successor Representation. IEEE Trans. Intell. Transp. Syst. Danni Chen, Chao Lu, Yupei Liu, Xianghao Meng, Jianwei Gong
2025	J	`jnl`	Risk Assessment of Cyclists in the Mixed Traffic Based on Multilevel Graph Representation. IEEE Trans. Intell. Transp. Syst. Gege Cui, Chao Lu, Yupei Liu, Junbin Wang, Xianghao Meng, Jianwei Gong
2025	J	`jnl`	Traffic-Knowledge-Augmented Path Planning for Autonomous Vehicles in Internet of Things. IEEE Internet Things J. Danni Chen, Chao Lu, Shijie Wu, Xuemei Chen, Jianwei Gong
2024	—	`conf`	A Hippocampus-Inspired Dynamic Planning Method for Overtaking Scenes via Predictive Map. ITSC Yupei Liu, Danni Chen, Chao Lu, Hongliang Lu, Meixin Zhu
2024	J	`jnl`	Beyond Imitation: A Life-Long Policy Learning Framework for Path Tracking Control of Autonomous Driving. IEEE Trans. Veh. Technol. Cheng Gong, Chao Lu, Zirui Li, Zhe Liu, Jianwei Gong, Xuemei Chen
2024	J	`jnl`	Beyond Imitation: A Life-long Policy Learning Framework for Path Tracking Control of Autonomous Driving. CoRR Cheng Gong, Chao Lu, Zirui Li, Zhe Liu, Jianwei Gong, Xuemei Chen
2024	J	`jnl`	Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach. IEEE Trans. Intell. Transp. Syst. Yunlong Lin, Zirui Li, Cheng Gong, Chao Lu, Xinwei Wang, Jianwei Gong
2024	J	`jnl`	Enhancing Interpretability of Autonomous Driving via Human-Like Cognitive Maps: A Case Study on Lane Change. IEEE Trans. Intell. Veh. Hongliang Lu, Yupei Liu, Meixin Zhu, Chao Lu, Hai Yang, Yinhai Wang
2024	J	`jnl`	Interactive Behavior Modeling for Vulnerable Road Users With Risk-Taking Styles in Urban Scenarios: A Heterogeneous Graph Learning Approach. IEEE Trans. Intell. Transp. Syst. Zirui Li, Jianwei Gong, Zheyu Zhang, Chao Lu, Victor L. Knoop, Meng Wang
2024	J	`jnl`	Leveraging Multi-Stream Information Fusion for Trajectory Prediction in Low-Illumination Scenarios: A Multi-Channel Graph Convolutional Approach. IEEE Trans. Intell. Transp. Syst. Hailong Gong, Zirui Li, Chao Lu, Guodong Du, Jianwei Gong
2024	J	`jnl`	Object-Level Attention Prediction for Drivers in the Information-Rich Traffic Environment. IEEE Trans. Ind. Electron. Qingxiao Liu, Hui Yao, Chao Lu, Haiou Liu, Yangtian Yi, Huiyan Chen
2024	J	`jnl`	Prediction of Pedestrian Spatial-Temporal Risk Levels for Intelligent Vehicles: A Data- Driven Approach. IEEE Trans. Veh. Technol. Zheyu Zhang, Chao Lu, Gege Cui, Xianghao Meng, Cheng Gong, Jianwei Gong
2023	—	`conf`	A Learning-Based Controller for Trajectory Tracking of Autonomous Vehicles in Complex and Uncertain Scenarios. ITSC Cheng Gong, Runqi Qiu, Yunlong Lin, Zirui Li, Jianwei Gong, Chao Lu
2023	J	`jnl`	Driver-Specific Risk Recognition in Interactive Driving Scenarios Using Graph Representation. IEEE Trans. Veh. Technol. Jinghang Li, Chao Lu, Penghui Li, Zheyu Zhang, Cheng Gong, Jianwei Gong
2023	J	`jnl`	Fusion of Gaze and Scene Information for Driving Behaviour Recognition: A Graph-Neural-Network- Based Framework. IEEE Trans. Intell. Transp. Syst. Yangtian Yi, Chao Lu, Boyang Wang, Long Cheng, Zirui Li, Jianwei Gong
2023	—	`conf`	Rethinking Trajectory Prediction in Real-World Applications: An Online Task-Free Continual Learning Perspective. ITSC Yunlong Lin, Zirui Li, Cheng Gong, Qi Liu, Chao Lu, Jianwei Gong
2023	—	`conf`	Towards Online Risk Assessment for Human-Robot Interaction: A Data-Driven Hamilton-Jacobi-Isaacs Reachability Approach. ITSC Hailong Gong, Zirui Li, Chao Lu, Jianwei Gong
2022	J	`jnl`	A Hierarchical Framework for Interactive Behaviour Prediction of Heterogeneous Traffic Participants Based on Graph Neural Network. IEEE Trans. Intell. Transp. Syst. Zirui Li, Chao Lu, Yangtian Yi, Jianwei Gong
2022	—	`conf`	Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery. ITSC Xianqi He, Lin Yang, Chao Lu, Zirui Li, Jianwei Gong
2022	J	`jnl`	Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery. CoRR Xianqi He, Lin Yang, Chao Lu, Zirui Li, Jianwei Gong
2022	C	`conf`	An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios. IV Zirui Li, Yunlong Lin, Cheng Gong, Xinwei Wang, Qi Liu, Jianwei Gong, Chao Lu
2022	J	`jnl`	An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios. CoRR Zirui Li, Yunlong Lin, Cheng Gong, Xinwei Wang, Qi Liu, Jianwei Gong, Chao Lu
2022	J	`jnl`	Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach. CoRR Yunlong Lin, Zirui Li, Cheng Gong, Chao Lu, Xinwei Wang, Jianwei Gong
2022	J	`jnl`	Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains. IEEE Trans. Intell. Transp. Syst. Chao Lu, Chen Lv, Jianwei Gong, Wenshuo Wang, Dongpu Cao, Fei-Yue Wang
2022	J	`jnl`	Integrated Path Planning for Unmanned Differential Steering Vehicles in Off-Road Environment With 3D Terrains and Obstacles. IEEE Trans. Intell. Transp. Syst. Jiaming Hu, Yuhui Hu, Chao Lu, Jianwei Gong, Huiyan Chen
2022	J	`jnl`	Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional Approach. CoRR Hailong Gong, Zirui Li, Chao Lu, Guodong Du, Jianwei Gong
2022	J	`jnl`	Personalized Driver Braking Behavior Modeling in the Car-Following Scenario: An Importance-Weight-Based Transfer Learning Approach. IEEE Trans. Ind. Electron. Zirui Li, Jianwei Gong, Chao Lu, Jinghang Li
2021	J	`jnl`	Driver-Specific Risk Recognition in Interactive Driving Scenarios using Graph Representation. CoRR Jinghang Li, Chao Lu, Penghui Li, Zheyu Zhang, Cheng Gong, Jianwei Gong
2021	J	`jnl`	Lateral and Longitudinal Driving Behavior Prediction Based on Improved Deep Belief Network. Sensors Lei Yang, Chunqing Zhao, Chao Lu, Lianzhen Wei, Jianwei Gong
2021	J	`jnl`	Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle. CoRR Cheng Gong, Jianwei Gong, Chao Lu, Zhe Liu, Zirui Li
2021	J	`jnl`	Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent Vehicles: A Data-driven Approach. CoRR Zheyu Zhang, Boyang Wang, Chao Lu, Jinghang Li, Cheng Gong, Jianwei Gong
2020	J	`jnl`	A Cooperative Driving Strategy Based on Velocity Prediction for Connected Vehicles With Robust Path-Following Control. IEEE Internet Things J. Yimin Chen, Chao Lu, Wenbo Chu
2020	J	`jnl`	Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis. CoRR Zirui Li, Chao Lu, Cheng Gong, Jianwei Gong, Jinghang Li, Lianzhen Wei
2020	J	`jnl`	Early Recognition of Driving Intention for Lane Change Based on Recurrent Hidden Semi-Markov Model. IEEE Trans. Veh. Technol. Qingxiao Liu, Shaohang Xu, Chao Lu, Hui Yao, Huiyan Chen
2020	C	`conf`	Hierarchical Reinforcement Learning Combined with Motion Primitives for Automated Overtaking. IV Yang Yu, Chao Lu, Lei Yang, Zirui Li, Fengqing Hu, Jianwei Gong
2020	J	`jnl`	Importance Weighted Gaussian Process Regression for Transferable Driver Behaviour Learning in the Lane Change Scenario. IEEE Trans. Veh. Technol. Zirui Li, Jianwei Gong, Chao Lu, Junqiang Xi
2020	C	`conf`	Prediction of Pedestrian Risky Level for Intelligent Vehicles. IV Zheyu Zhang, Chao Lu, Jinghang Li, Youzhi Xu, Junyan Lu, Zirui Li
2020	J	`jnl`	Transfer Learning for Driver Model Adaptation in Lane-Changing Scenarios Using Manifold Alignment. IEEE Trans. Intell. Transp. Syst. Chao Lu, Fengqing Hu, Dongpu Cao, Jianwei Gong, Yang Xing, Zirui Li
2019	—	`conf`	A Comparative Study on Transferable Driver Behavior Learning Methods in the Lane-Changing Scenario. ITSC Zirui Li, Chao Lu, Jianwei Gong, Fengqing Hu
2019	J	`jnl`	A Personalized Behavior Learning System for Human-Like Longitudinal Speed Control of Autonomous Vehicles. Sensors Chao Lu, Jianwei Gong, Chen Lv, Xin Chen, Dongpu Cao, Yimin Chen
2019	J	`jnl`	A Time-Efficient Approach for Decision-Making Style Recognition in Lane-Changing Behavior. IEEE Trans. Hum. Mach. Syst. Sen Yang, Wenshuo Wang, Chao Lu, Jianwei Gong, Junqiang Xi
2019	—	`conf`	An Efficient Model for Driving Focus of Attention Prediction using Deep Learning. ITSC Minghao Ning, Chao Lu, Jianwei Gong
2019	—	`conf`	Manifold Learning for Lane-changing Behavior Recognition in Urban Traffic. ITSC Jinghang Li, Chao Lu, Youzhi Xu, Zhao Zhang, Jianwei Gong, Huijun Di
2019	C	`conf`	Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario. IV Zirui Li, Cheng Gong, Chao Lu, Jianwei Gong, Junyan Lu, Youzhi Xu, Fengqing Hu
2019	J	`jnl`	Virtual-to-Real Knowledge Transfer for Driving Behavior Recognition: Framework and a Case Study. IEEE Trans. Veh. Technol. Chao Lu, Fengqing Hu, Dongpu Cao, Jianwei Gong, Yang Xing, Zirui Li
2018	B	`conf`	Development and Evaluation of Two Learning-Based Personalized Driver Models for Pure Pursuit Path-Tracking Behaviors. Intelligent Vehicles Symposium Zirui Li, Boyang Wang, Jianwei Gong, Tianyun Gao, Chao Lu, Gang Wang
2018	J	`jnl`	Hybrid-Learning-Based Classification and Quantitative Inference of Driver Braking Intensity of an Electrified Vehicle. IEEE Trans. Veh. Technol. Chen Lv, Yang Xing, Chao Lu, Yahui Liu, Hongyan Guo, Hongbo Gao, Dongpu Cao
2018	J	`jnl`	Learning Driver-Specific Behavior for Overtaking: A Combined Learning Framework. IEEE Trans. Veh. Technol. Chao Lu, Huaji Wang, Chen Lv, Jianwei Gong, Junqiang Xi, Dongpu Cao
2018	B	`conf`	Learning and Generalizing Motion Primitives From Driving Data for Path-Tracking Applications. Intelligent Vehicles Symposium Boyang Wang, Zirui Li, Jianwei Gong, Yidi Liu, Huiyan Chen, Chao Lu
2018	J	`jnl`	Learning and Generalizing Motion Primitives from Driving Data for Path-Tracking Applications. CoRR Boyang Wang, Zirui Li, Jianwei Gong, Yidi Liu, Huiyan Chen, Chao Lu
2018	B	`conf`	Transfer Learning for Driver Model Adaptation via Modified Local Procrustes Analysis. Intelligent Vehicles Symposium Chao Lu, Fengqing Hu, Wenshuo Wang, Jianwei Gong, Zeliang Ding
2017	B	`conf`	A learning model for personalized adaptive cruise control. Intelligent Vehicles Symposium Xin Chen, Yong Zhai, Chao Lu, Jianwei Gong, Gang Wang
2017	—	`conf`	Speed and steering angle prediction for intelligent vehicles based on deep belief network. ITSC Chunqing Zhao, Jianwei Gong, Chao Lu, Guangming Xiong, Weijie Mei
2013	—	`conf`	An indirect reinforcement learning approach for ramp control under incident-induced congestion. ITSC Chao Lu, Haibo Chen, Susan Grant-Muller