The WHUTE System in NTCIR-9 RITE Task. - Han Ren; Chen Lv; Donghong Ji (NTCIR, 2011)

Semantic Labeling of Chinese Serial Verb Sentences Based on Feature Structure. - Bo Chen 024; Hongmiao Wu; Chen Lv; Hua Yang; Donghong Ji (CLSW, 2012)

Building a Chinese Semantic Resource Based on Feature Structure. - Bo Chen 024; Donghong Ji; Chen Lv (Int. J. Comput. Process. Orient. Lang., 2012)

The WHUTE System in NTCIR-10 RITE Task. - Han Ren; Hongmiao Wu; Chen Lv; Donghong Ji; Jing Wan (NTCIR, 2013)

APISynth: a new graph-based API recommender system. - Chen Lv; Wei Jiang; Yue Liu 006; Songlin Hu (ICSE Companion, 2014)

Research on control strategy of electric-hydraulic hybrid anti-lock braking system of an electric passenger car. - Zhongshi Zhang; Junzhi Zhang; Dong-Sheng Sun; Chen Lv (Intelligent Vehicles Symposium, 2015)

Swarm Intelligence-based Power Allocation and Relay Selection Algorithm for wireless cooperative network. - Yaxin Xing; Yueyun Chen; Chen Lv; Zheng Gong; Ling Xu (KSII Trans. Internet Inf. Syst., 2016)

MPC-based power management strategy for a series hybrid electric tracked bulldozer. - Hong Wang 014; Yanjun Huang; Amir Khajepour; Hongwen He; Chen Lv (ICIT, 2017)

Characterisation of driver neuromuscular dynamics for haptic take-over system design for automated vehicles. - Chen Lv; Huaji Wang; Dongpu Cao; Yifan Zhao 001; Daniel J. Auger; Mark Sullman; Rebecca Matthias; Lee Skrypchuk; Alexandros Mouzakitis (IECON, 2017)

Multi-point turn decision making framework for human-like automated driving. - Chun-Wei Chang; Chen Lv; Huaji Wang; Hong Wang 014; Dongpu Cao; Efstathios Velenis; Fei-Yue Wang 001 (ITSC, 2017)

Multi-resolution modelling method based on time-state-machine in complex distribution network. - Chen Lv; Wanxing Sheng; Ke-yan Liu; Weijie Dong; Xiaoli Meng (IET Cyper-Phys. Syst.: Theory & Appl., 2017)

Intelligent Control Circuit Integral with Pattern Recognition Techniques for High-Pressure Sodium Lamps. - Yuzhuo Pan; Chen Lv; Shanhe Su; Jincan Chen (J. Circuits Syst. Comput., 2017)

An Orientation Sensor-Based Head Tracking System for Driver Behaviour Monitoring. - Yifan Zhao 001; Lorenz Görne; Iek-Man Yuen; Dongpu Cao; Mark Sullman; Daniel J. Auger; Chen Lv; Huaji Wang; Rebecca Matthias; Lee Skrypchuk; Alexandros Mouzakitis (Sensors, 2017)

High-Precision Hydraulic Pressure Control Based on Linear Pressure-Drop Modulation in Valve Critical Equilibrium State. - Chen Lv; Hong Wang 014; Dongpu Cao (IEEE Trans. Ind. Electron., 2017)

A Novel Control Framework of Haptic Take-Over System for Automated Vehicles. - Chen Lv; Huaji Wang; Dongpu Cao; Yifan Zhao 001; Mark Sullman; Daniel J. Auger; James Brighton; Rebecca Matthias; Lee Skrypchuk; Alexandros Mouzakitis (Intelligent Vehicles Symposium, 2018)

End-to-End Driving Activities and Secondary Tasks Recognition Using Deep Convolutional Neural Network and Transfer Learning. - Yang Xing; Jianlin Tang; Hong Liu; Chen Lv; Dongpu Cao; Efstathios Velenis; Fei-Yue Wang 001 (Intelligent Vehicles Symposium, 2018)

Intelligent Synthesis of Driving Cycle for Advanced Design and Control of Powertrains. - Bolin Zhao; Theo Hofman; Chen Lv; Maarten Steinbuch (Intelligent Vehicles Symposium, 2018)

Vehicle dynamic state estimation: state of the art schemes and perspectives. - Hongyan Guo; Dongpu Cao; Hong Chen 003; Chen Lv; Huaji Wang; Siqi Yang (IEEE CAA J. Autom. Sinica, 2018)

Hazard-evaluation-oriented moving horizon parallel steering control for driver-automation collaboration during automated driving. - Hongyan Guo; Linhuan Song; Jun Liu; Fei-Yue Wang 001; Dongpu Cao; Hong Chen 003; Chen Lv; Patrick Chi-Kwong Luk (IEEE CAA J. Autom. Sinica, 2018)

Analysis of autopilot disengagements occurring during autonomous vehicle testing. - Chen Lv; Dongpu Cao; Yifan Zhao 001; Daniel J. Auger; Mark Sullman; Huaji Wang; Laura Millen Dutka; Lee Skrypchuk; Alexandros Mouzakitis (IEEE CAA J. Autom. Sinica, 2018)

Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision. - Yang Xing; Chen Lv; Long Chen 005; Huaji Wang; Hong Wang 014; Dongpu Cao; Efstathios Velenis; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2018)

Nonuniformity Correction of Single Infrared Images Based on Deep Filter Neural Network. - Xianzhong Jian; Chen Lv; Ruzhi Wang (Symmetry, 2018)

Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition. - Yang Xing; Chen Lv; Zhaozhong Zhang; Huaji Wang; Xiaoxiang Na; Dongpu Cao; Efstathios Velenis; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2018)

Simultaneous Observation of Hybrid States for Cyber-Physical Systems: A Case Study of Electric Vehicle Powertrain. - Chen Lv; Yahui Liu; Xiaosong Hu; Hongyan Guo; Dongpu Cao; Fei-Yue Wang 001 (IEEE Trans. Cybern., 2018)

A Study on Objective Evaluation of Vehicle Steering Comfort Based on Driver's Electromyogram and Movement Trajectory. - Yahui Liu; Qi Liu 007; Chen Lv; Minghui Zheng; Xuewu Ji (IEEE Trans. Hum. Mach. Syst., 2018)

Guest Editorial Special Section on Cyber-Physical Systems in Green Transportation. - Xiaosong Hu; Federico Baronti; Chengbin Ma; Chen Lv (IEEE Trans. Ind. Informatics, 2018)

Levenberg-Marquardt Backpropagation Training of Multilayer Neural Networks for State Estimation of a Safety-Critical Cyber-Physical System. - Chen Lv; Yang Xing; Junzhi Zhang; Xiaoxiang Na; Yutong Li; Teng Liu; Dongpu Cao; Fei-Yue Wang 001 (IEEE Trans. Ind. Informatics, 2018)

Efficient Dynamic Evolution of Service Composition. - Chen Lv; Wei Jiang; Songlin Hu; Jiye Wang; Guoliang Lu; Zhiyong Liu 002 (IEEE Trans. Serv. Comput., 2018)

Interactive Control Paradigm-Based Robust Lateral Stability Controller Design for Autonomous Automobile Path Tracking With Uncertain Disturbance: A Dynamic Game Approach. - Xuewu Ji; Yulong Liu; Xiangkun He; Kaiming Yang; Xiaoxiang Na; Chen Lv; Yahui Liu (IEEE Trans. Veh. Technol., 2018)

Retrieving Common Discretionary Lane Changing Characteristics From Trajectories. - Li Li 013; Chen Lv; Dongpu Cao; Jiajie Zhang (IEEE Trans. Veh. Technol., 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; Dongpu Cao (IEEE Trans. Veh. Technol., 2018)

How to Define the Passenger's Hazard Perception Level by Combining Subjective and Objective Measures? - Qianjing Hu; Gang Guo; Huaji Wang; Mingqing Tang; Chen Lv; Dongpu Cao (HCI (LBP), 2019)

A Novel Predictive Haptic Control Interface for Automation-to-Human Takeover of Automated Vehicles. - Yutong Li; Chen Lv; Junliang Xue (IV, 2019)

Secure Pose Estimation for Autonomous Vehicles under Cyber Attacks. - Qipeng Liu 002; Yilin Mo; Xiaoyu Mo; Chen Lv; Ehsan Mihankhah; Danwei Wang (IV, 2019)

Sparse Feature Learning With Label Information for Alzheimer's Disease Classification Based on Magnetic Resonance Imaging. - Lina Xu; Zhijun Yao; Jing Li 046; Chen Lv; Huaxiang Zhang 001; Bin Hu 001 (IEEE Access, 2019)

A Declarative Service-Based Method for Adaptive Aggregation of Sensor Streams. - Zhongmei Zhang; Chen Liu 007; Xiaohong Li 001; Yanbo Han; Chen Lv; Weilong Ding (IEEE Access, 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)

Occlusion-Free Road Segmentation Leveraging Semantics for Autonomous Vehicles. - Kewei Wang; Fuwu Yan; Bin Zou; Luqi Tang; Quan Yuan; Chen Lv (Sensors, 2019)

Shared Steering Torque Control for Lane Change Assistance: A Stochastic Game-Theoretic Approach. - Xuewu Ji; Kaiming Yang; Xiaoxiang Na; Chen Lv; Yahui Liu (IEEE Trans. Ind. Electron., 2019)

Driving-Style-Based Codesign Optimization of an Automated Electric Vehicle: A Cyber-Physical System Approach. - Chen Lv; Xiaosong Hu; Alberto L. Sangiovanni-Vincentelli; Yutong Li; Clara Marina Martinez; Dongpu Cao (IEEE Trans. Ind. Electron., 2019)

A Review of Estimation for Vehicle Tire-Road Interactions Toward Automated Driving. - Hongyan Guo; Zhenyu Yin; Dongpu Cao; Hong Chen 003; Chen Lv (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach. - Yang Xing; Chen Lv; Huaji Wang; Dongpu Cao; Efstathios Velenis; Fei-Yue Wang 001 (IEEE Trans. Veh. Technol., 2019)

Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges. - Yang Xing; Chen Lv; Huaji Wang; Hong Wang 014; Yunfeng Ai; Dongpu Cao; Efstathios Velenis; Fei-Yue Wang 001 (IEEE Trans. Veh. Technol., 2019)

Interaction-Aware Trajectory Prediction of Connected Vehicles using CNN-LSTM Networks. - Xiaoyu Mo; Yang Xing; Chen Lv (IECON, 2020)

LMI-based Nonlinear State Observer for Vehicle Motion Tracking in Lane Change Manoeuvre. - Chao Huang 006; Hailong Huang; Chen Lv (ITSC, 2020)

Driver-Automation Collaboration for Automated Vehicles: A Review of Human-Centered Shared Control. - Yang Xing; Chao Huang 006; Chen Lv (IV, 2020)

Reference-Free Human-Automation Shared Control for Obstacle Avoidance of Automated Vehicles. - Chao Huang 006; Peng Hang; Jingda Wu; Anh-Tu Nguyen; Chen Lv (SMC, 2020)

Human-Machine Shared Control for Semi-Autonomous Vehicles Using Level of Cooperativeness. - Anh-Tu Nguyen; Jagat Jyoti Rath; Chen Lv; Thierry-Marie Guerra (SMC, 2020)

Multi-Scale Driver Behaviors Reasoning System for Intelligent Vehicles Based on a Joint Deep Learning Framework. - Yang Xing; Zhongxu Hu; Zhiyu Huang; Chen Lv; Dongpu Cao; Efstathios Velenis (SMC, 2020)

Continuous Driver Steering Intention Prediction Considering Neuromuscular Dynamics and Driving Postures. - Yang Xing; Chen Lv; Yahui Liu; Yifan Zhao 001; Dongpu Cao (SMC, 2020)

Movable-Type Transfer and Stacking of van der Waals Heterostructures for Spintronics. - Yuan Cao; Xinhe Wang; Xiaoyang Lin; Wei Yang; Chen Lv; Yuan Lu; Youguang Zhang; Weisheng Zhao (IEEE Access, 2020)

An Improved Kinematic Model Predictive Control for High-Speed Path Tracking of Autonomous Vehicles. - Luqi Tang; Fuwu Yan; Bin Zou; Kewei Wang; Chen Lv (IEEE Access, 2020)

LiDAR-Based Multi-Task Road Perception Network for Autonomous Vehicles. - Fuwu Yan; Kewei Wang; Bin Zou; Luqi Tang; Wenbo Li 014; Chen Lv (IEEE Access, 2020)

Human-Machine Collaboration for Automated Vehicles via an Intelligent Two-Phase Haptic Interface. - Chen Lv; Yutong Li; Yang Xing; Chao Huang 006; Dongpu Cao; Yifan Zhao 001; Yahui Liu (CoRR, 2020)

A Unified Multi-scale and Multi-task Learning Framework for Driver Behaviors Reasoning. - Yang Xing; Chen Lv; Dongpu Cao; Efstathios Velenis (CoRR, 2020)

Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding. - Zhiyu Huang; Chen Lv; Yang Xing; Jingda Wu (CoRR, 2020)

Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning. - Zhiyu Huang; Chen Lv; Jingda Wu (CoRR, 2020)

ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction. - Xiaoyu Mo; Yang Xing; Chen Lv (CoRR, 2020)

Dynamic State Estimation for the Advanced Brake System of Electric Vehicles by Using Deep Recurrent Neural Networks. - Yang Xing; Chen Lv (IEEE Trans. Ind. Electron., 2020)

Distributed Training for Multi-Layer Neural Networks by Consensus. - Bo Liu 034; Zhengtao Ding; Chen Lv (IEEE Trans. Neural Networks Learn. Syst., 2020)

An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors. - Peng Hang; Chen Lv; Chao Huang 006; Jiacheng Cai; Zhongxu Hu; Yang Xing (IEEE Trans. Veh. Technol., 2020)

Ethical Decision-Making Platform in Autonomous Vehicles With Lexicographic Optimization Based Model Predictive Controller. - Hong Wang 014; Yanjun Huang; Amir Khajepour; Dongpu Cao; Chen Lv (IEEE Trans. Veh. Technol., 2020)

Cooperative Path Planning for Heterogeneous Unmanned Vehicles in a Search-and-Track Mission Aiming at an Underwater Target. - Yu Wu 009; Kin Huat Low; Chen Lv (IEEE Trans. Veh. Technol., 2020)

Personalized Vehicle Trajectory Prediction Based on Joint Time-Series Modeling for Connected Vehicles. - Yang Xing; Chen Lv; Dongpu Cao (IEEE Trans. Veh. Technol., 2020)

Cyber-Physical Vehicle Systems: Methodology and Applications - Chen Lv; Yang Xing; Junzhi Zhang; Dongpu Cao (Morgan & Claypool Publishers, 2020)

Digital Twin-enabled Reinforcement Learning for End-to-end Autonomous Driving. - Jingda Wu; Zhiyu Huang; Peng Hang; Chao Huang 015; Niels de Boer; Chen Lv (DTPI, 2021)

Graph and Recurrent Neural Network-based Vehicle Trajectory Prediction For Highway Driving. - Xiaoyu Mo; Yang Xing; Chen Lv (ITSC, 2021)

Human-Machine Collaboration for Automated Driving Using an Intelligent Two-Phase Haptic Interface. - Chen Lv; Yutong Li; Yang Xing; Chao Huang 006; Dongpu Cao; Yifan Zhao 001; Yahui Liu (Adv. Intell. Syst., 2021)

Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving. - Haochen Liu; Zhiyu Huang; Chen Lv (CoRR, 2021)

Human-Machine Adaptive Shared Control for Safe Automated Driving under Automation Degradation. - Chao Huang 006; Chen Lv; Peng Hang; Zhongxu Hu; Yang Xing (CoRR, 2021)

Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving. - Jingda Wu; Zhiyu Huang; Chao Huang 006; Zhongxu Hu; Peng Hang; Yang Xing; Chen Lv (CoRR, 2021)

Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction. - Xiaoyu Mo; Yang Xing; Chen Lv (CoRR, 2021)

Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving. - Jingda Wu; Zhiyu Huang; Chen Lv (CoRR, 2021)

Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving. - Jingda Wu; Zhiyu Huang; Wenhui Huang; Chen Lv (CoRR, 2021)

A sensorless state estimation for a safety-oriented cyber-physical system in urban driving: Deep learning approach. - Mohammad K. Al-Sharman; David Murdoch; Dongpu Cao; Chen Lv; Yahya H. Zweiri; Derek Rayside; William Melek (IEEE CAA J. Autom. Sinica, 2021)

Deep convolutional neural network-based Bernoulli heatmap for head pose estimation. - Zhongxu Hu; Yang Xing; Chen Lv; Peng Hang; Jie Liu 017 (Neurocomputing, 2021)

Human-Machine Shared Driving Control for Semi-Autonomous Vehicles Using Level of Cooperativeness. - Anh-Tu Nguyen; Jagat Jyoti Rath; Chen Lv; Thierry-Marie Guerra; Jimmy Lauber (Sensors, 2021)

Improved Short-Term Speed Prediction Using Spatiotemporal-Vision-Based Deep Neural Network for Intelligent Fuel Cell Vehicles. - Yuanzhi Zhang; Zhiyu Huang; Caizhi Z. Zhang; Chen Lv; Chenghao Deng; Dong Hao; Jinrui Chen; Hongxu Ran (IEEE Trans. Ind. Informatics, 2021)

Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach. - Peng Hang; Chen Lv; Yang Xing; Chao Huang 006; Zhongxu Hu (IEEE Trans. Intell. Transp. Syst., 2021)

Toward Safe and Smart Mobility: Energy-Aware Deep Learning for Driving Behavior Analysis and Prediction of Connected Vehicles. - Yang Xing; Chen Lv; Xiaoyu Mo; Zhongxu Hu; Chao Huang 006; Peng Hang (IEEE Trans. Intell. Transp. Syst., 2021)

Decision Making of Connected Automated Vehicles at an Unsignalized Roundabout Considering Personalized Driving Behaviours. - Peng Hang; Chao Huang 006; Zhongxu Hu; Yang Xing; Chen Lv (IEEE Trans. Veh. Technol., 2021)

Personalized Trajectory Planning and Control of Lane-Change Maneuvers for Autonomous Driving. - Chao Huang 006; Hailong Huang; Peng Hang; Hongbo Gao; Jingda Wu; Zhiyu Huang; Chen Lv (IEEE Trans. Veh. Technol., 2021)

Collision-Probability-Aware Human-Machine Cooperative Planning for Safe Automated Driving. - Chao Huang 006; Peng Hang; Zhongxu Hu; Chen Lv (IEEE Trans. Veh. Technol., 2021)

Secure Estimation and Attack Isolation for Connected and Automated Driving in the Presence of Malicious Vehicles. - Tianci Yang; Chen Lv (IEEE Trans. Veh. Technol., 2021)

Real-Time Optimization of Energy Management Strategy for Fuel Cell Vehicles Using Inflated 3D Inception Long Short-Term Memory Network-Based Speed Prediction. - Caizhi Z. Zhang; Yuanzhi Zhang; Zhiyu Huang; Chen Lv; Dong Hao; Chen Liang; Chenghao Deng; Jinrui Chen (IEEE Trans. Veh. Technol., 2021)

Potential Hazard-Aware Adaptive Shared Control for Human-Robot Cooperative Driving in Unstructured Environment. - Wenhui Huang; Yanxin Zhou; Jianhuang Li; Chen Lv (ICARCV, 2022)

Multi-objective Model Predictive Control for Trajectory Tracking of Intelligent Electric Vehicles. - Tianchu Su; Hao Chen; Chen Lv (ICARCV, 2022)

Human-Guided Safe and Efficient Trajectory Replanning for Unmanned Aerial Vehicles. - Zezhong Zhang; Hao Chen; Sun Woh Lye; Chen Lv (ICCAD, 2022)

Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving. - Zhiyu Huang; Xiaoyu Mo; Chen Lv (ICRA, 2022)

LA-vIOMMU: An Efficient Hardware-Software Co-design of IOMMU Virtualization. - Chen Lv; Fuxin Zhang; Xiang Gao; Chen Zhu (ISPA/BDCloud/SocialCom/SustainCom, 2022)

ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application. - Zhiyu Huang; Xiaoyu Mo; Chen Lv (ITSC, 2022)

Stochastic Multimodal Interaction Prediction for Urban Driving. - Xiaoyu Mo; Zhiyu Huang; Chen Lv (ITSC, 2022)

Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning. - Jingda Wu; Wenhui Huang; Niels de Boer; Yanghui Mo; Xiangkun He; Chen Lv (ITSC, 2022)

SIND: A Drone Dataset at Signalized Intersection in China. - Yanchao Xu; Wenbo Shao; Jun Li 082; Kai Yang; Weida Wang; Hua Huang; Chen Lv; Hong Wang 014 (ITSC, 2022)

Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving. - Haochen Liu; Zhiyu Huang; Jingda Wu; Chen Lv (IV, 2022)

Human-Like Interactive Behavior Generation for Autonomous Vehicles: A Bayesian Game-Theoretic Approach with Turing Test. - Yiran Zhang; Peng Hang; Chao Huang 006; Chen Lv (Adv. Intell. Syst., 2022)

Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach. - Peng Hang; Chao Huang 006; Zhongxu Hu; Chen Lv (CoRR, 2022)

Brain-Inspired Modelling and Decision-making for Human-Like Autonomous Driving in Mixed Traffic Environment. - Peng Hang; Yiran Zhang; Chen Lv (CoRR, 2022)

Single UHD Image Dehazing via Interpretable Pyramid Network. - Boxue Xiao; Zhuoran Zheng; Xiang Chen; Chen Lv; Yunliang Zhuang; Tao Wang (CoRR, 2022)

Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration. - Wenhui Huang; Cong Zhang; Jingda Wu; Xiangkun He; Jie Zhang; Chen Lv (CoRR, 2022)

Multi-task Driver Steering Behaviour Modeling Using Time-Series Transformer. - Yang Xing; Wenbo Li 003; Xiaoyu Mo; Chen Lv (CoRR, 2022)

Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving. - Zhiyu Huang; Haochen Liu; Jingda Wu; Chen Lv (CoRR, 2022)

STrajNet: Occupancy Flow Prediction via Multi-modal Swin Transformer. - Haochen Liu; Zhiyu Huang; Chen Lv (CoRR, 2022)

On Joint Reconstruction of State and Input-Output Injection Attacks for Nonlinear Systems. - Tianci Yang; Carlos Murguia; Chen Lv; Dragan Nesic; Chao Huang 006 (IEEE Control. Syst. Lett., 2022)

Xsickness in Intelligent Mobile Spaces and Metaverses. - Ruichen Tan; Ruiyang Gao; Wenbo Li 003; Kai Cao; Ying Li; Chen Lv; Fei-Yue Wang 001; Dongpu Cao (IEEE Intell. Syst., 2022)

Human-Machine Telecollaboration Accelerates the Safe Deployment of Large-Scale Autonomous Robots During the COVID-19 Pandemic. - Zhongxu Hu; Yiran Zhang; Qinghua Li; Chen Lv (Frontiers Robotics AI, 2022)

Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs. - Linyao Yang; Chen Lv; Xiao Wang 002; Ji Qiao; Weiping Ding 001; Jun Zhang 040; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2022)

Grid-based lane identification with roadside LiDAR data. - Jianqing Wu; Chen Lv; Hongya Yue (Int. J. Sens. Networks, 2022)

A Secure Sensor Fusion Framework for Connected and Automated Vehicles Under Sensor Attacks. - Tianci Yang; Chen Lv (IEEE Internet Things J., 2022)

Human-Machine Adaptive Shared Control for Safe Driving Under Automation Degradation. - Chao Huang 006; Chen Lv; Peng Hang; Zhongxu Hu; Yang Xing (IEEE Intell. Transp. Syst. Mag., 2022)

Special Section on Safety of Automated Driving in Intelligent Transportation Systems [Guest Editorial]. - Hong Wang 014; Chen Lv; Xiaosong Hu; Yisheng Lv; Lingxi Li; Ehsan Hashemi; Meng Wang 020 (IEEE Intell. Transp. Syst. Mag., 2022)

Template-Based Category-Agnostic Instance Detection for Robotic Manipulation. - Zhongxu Hu; Runjia Tan; Yanxin Zhou; Junyang Woon; Chen Lv (IEEE Robotics Autom. Lett., 2022)

Nonlinear Predictive Motion Control for Autonomous Mobile Robots Considering Active Fault-Tolerant Control and Regenerative Braking. - Peng Hang; Baichuan Lou; Chen Lv (Sensors, 2022)

An Integrated Framework for Multi-State Driver Monitoring Using Heterogeneous Loss and Attention-Based Feature Decoupling. - Zhongxu Hu; Yiran Zhang; Yang Xing; Qinghua Li; Chen Lv (Sensors, 2022)

Advanced Sensing and Control for Connected and Automated Vehicles. - Chao Huang 006; Haiping Du; Wanzhong Zhao; Yifan Zhao 001; Fuwu Yan; Chen Lv (Sensors, 2022)

The Identification of Non-Driving Activities with Associated Implication on the Take-Over Process. - Lichao Yang; Mahdi Babayi Semiromi; Yang Xing; Chen Lv; James Brighton; Yifan Zhao 001 (Sensors, 2022)

Risk Assessment and Mitigation in Local Path Planning for Autonomous Vehicles With LSTM Based Predictive Model. - Hong Wang 014; Bing Lu; Jun Li 082; Teng Liu; Yang Xing; Chen Lv; Dongpu Cao; Jingxuan Li; Jinwei Zhang; Ehsan Hashemi (IEEE Trans Autom. Sci. Eng., 2022)

Light-Guided and Cross-Fusion U-Net for Anti-Illumination Image Super-Resolution. - Deqiang Cheng; Liangliang Chen; Chen Lv; Lin Guo; Qiqi Kou (IEEE Trans. Circuits Syst. Video Technol., 2022)

A Structure Constraint Matrix Factorization Framework for Human Behavior Segmentation. - Hongbo Gao; Chen Lv; Tong Zhang 015; Hongfei Zhao; Lei Jiang; Junjie Zhou; Yuchao Liu; Yi Huang; Chao Han (IEEE Trans. Cybern., 2022)

Data-Driven Estimation of Driver Attention Using Calibration-Free Eye Gaze and Scene Features. - Zhongxu Hu; Chen Lv; Peng Hang; Chao Huang 006; Yang Xing (IEEE Trans. Ind. Electron., 2022)

An Integrated Scheme for Coefficient Estimation of Tire-Road Friction With Mass Parameter Mismatch Under Complex Driving Scenarios. - Yan Wang 079; Chen Lv; Yongjun Yan; Pai Peng; Faan Wang; Liwei Xu; Guodong Yin (IEEE Trans. Ind. Electron., 2022)

Hybrid-Learning-Based Driver Steering Intention Prediction Using Neuromuscular Dynamics. - Yang Xing; Chen Lv; Yahui Liu; Yifan Zhao 001; Dongpu Cao; Sadahiro Kawahara (IEEE Trans. Ind. Electron., 2022)

Learning Spatio-Temporal Representations With a Dual-Stream 3-D Residual Network for Nondriving Activity Recognition. - Lichao Yang; Xiaocai Shan; Chen Lv; James Brighton; Yifan Zhao 001 (IEEE Trans. Ind. Electron., 2022)

Decision Making for Connected Automated Vehicles at Urban Intersections Considering Social and Individual Benefits. - Peng Hang; Chao Huang 006; Zhongxu Hu; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2022)

Cooperative Decision Making of Connected Automated Vehicles at Multi-Lane Merging Zone: A Coalitional Game Approach. - Peng Hang; Chen Lv; Chao Huang 006; Yang Xing; Zhongxu Hu (IEEE Trans. Intell. Transp. Syst., 2022)

A Novel Heterogeneous Network for Modeling Driver Attention With Multi-Level Visual Content. - Zhongxu Hu; Yiran Zhang; Qinghua Li; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2022)

Human-Machine Cooperative Trajectory Planning and Tracking for Safe Automated Driving. - Chao Huang 006; Hailong Huang; Junzhi Zhang; Peng Hang; Zhongxu Hu; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2022)

Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement Learning. - Zhiyu Huang; Jingda Wu; Chen Lv (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; Dongpu Cao; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network. - Xiaoyu Mo; Zhiyu Huang; Yang Xing; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2022)

Detection and Isolation of Sensor Attacks for Autonomous Vehicles: Framework, Algorithms, and Validation. - Yuanzhe Wang; Qipeng Liu 002; Ehsan Mihankhah; Chen Lv; Danwei Wang (IEEE Trans. Intell. Transp. Syst., 2022)

Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives. - Dongpu Cao; Xiao Wang 002; Lingxi Li; Chen Lv; Xiaoxiang Na; Yang Xing; Xuan Li; Ying Li 036; Yuanyuan Chen; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2022)

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles. - Zhongxu Hu; Shanhe Lou; Yang Xing; Xiao Wang 002; Dongpu Cao; Chen Lv (IEEE Trans. Intell. Veh., 2022)

RHONN Modelling-Enabled Nonlinear Predictive Control for Lateral Dynamics Stabilization of an In-Wheel Motor Driven Vehicle. - Hao Chen; Junzhi Zhang; Chen Lv (IEEE Trans. Veh. Technol., 2022)

An Integrated Decision-Making Framework for Highway Autonomous Driving Using Combined Learning and Rule-Based Algorithm. - Can Xu; Wanzhong Zhao; Jinqiang Liu; Chunyan Wang 013; Chen Lv (IEEE Trans. Veh. Technol., 2022)

Toward Human-Centered Automated Driving: A Novel Spatiotemporal Vision Transformer-Enabled Head Tracker. - Zhongxu Hu; Yiran Zhang; Yang Xing; Yifan Zhao 001; Dongpu Cao; Chen Lv (IEEE Veh. Technol. Mag., 2022)

Vision-Based Human Activity Recognition - Artificial Intelligence, Multiagent Systems, and Cognitive Robotics - Zhongxu Hu; Chen Lv (Springer, 2022)

Human-robot interactive disassembly planning in Industry 5.0*. - Shanhe Lou; Runjia Tan; Yiran Zhang; Chen Lv (AIM, 2023)

A Novel Human-Machine Collaboration Approach for Autonomous Driving with Hand Gesture-based Guidance. - Yiran Zhang; Zhongxu Hu; Chen Lv (AIM, 2023)

GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving. - Zhiyu Huang; Haochen Liu; Chen Lv (ICCV, 2023)

Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving. - Haochen Liu; Zhiyu Huang; Chen Lv (ICRA, 2023)

Automatic Spatial Radar Camera Calibration via Geometric Constraints with Doppler-Optical Flow Fusion. - Jintian Ge; Yanxin Zhou; Baichuan Lou; Chen Lv (IROS, 2023)

Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving. - Zhiyu Huang; Haochen Liu; Jingda Wu; Wenhui Huang; Chen Lv (ITSC, 2023)

Occupancy Prediction-Guided Neural Planner for Autonomous Driving. - Haochen Liu; Zhiyu Huang; Chen Lv (ITSC, 2023)

Designing Human-machine Collaboration Interface Through Multimodal Combination Optimization to Improve Takeover Performance in Highly Automated Driving. - Jieyu Zhu; Yiran Zhang; Yanli Ma; Chen Lv; Yaping Zhang (ITSC, 2023)

KSRE-CNER: A Knowledge and Semantic Relation Enhancement Framework for Chinese NER. - Jikun Dong; Kaifang Long; Jiran Zhu; Hui Yu 010; Chen Lv; Zengzhen Shao; Weizhi Xu 001 (PRICAI (2), 2023)

Advertising Image Saliency Prediction Method Based on Score Level Fusion. - Qiqi Kou; Ruihang Liu; Chen Lv; He Jiang; Deqiang Cheng (IEEE Access, 2023)

How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction? - Wenbo Shao; Yanchao Xu; Jun Li 082; Chen Lv; Weida Wang; Hong Wang 014 (CoRR, 2023)

Evolving Testing Scenario Generation Method and Intelligence Evaluation Framework for Automated Vehicles. - Yining Ma; Wei Jiang; Lingtong Zhang; Junyi Chen; Hong Wang; Chen Lv; Xuesong Wang; Lu Xiong (CoRR, 2023)

DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving. - Zhiyu Huang; Péter Karkus; Boris Ivanovic; Yuxiao Chen 008; Marco Pavone 001; Chen Lv (CoRR, 2023)

Conditional Predictive Behavior Planning With Inverse Reinforcement Learning for Human-Like Autonomous Driving. - Zhiyu Huang; Haochen Liu; Jingda Wu; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2023)

Distributed Finite-Time Safety Consensus Control of Vehicle Platoon With Senor and Actuator Failures. - Jinheng Han; Junzhi Zhang; Chengkun He; Chen Lv; Xiaohui Hou; Yuan Ji (IEEE Trans. Veh. Technol., 2023)

Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach. - Xiangkun He; Haohan Yang; Zhongxu Hu; Chen Lv (IEEE Trans. Intell. Veh., 2023)

Driver Anomaly Quantification for Intelligent Vehicles: A Contrastive Learning Approach With Representation Clustering. - Zhongxu Hu; Yang Xing; Weihao Gu; Dongpu Cao; Chen Lv (IEEE Trans. Intell. Veh., 2023)

Uncertainty-Aware Model-Based Reinforcement Learning: Methodology and Application in Autonomous Driving. - Jingda Wu; Zhiyu Huang; Chen Lv (IEEE Trans. Intell. Veh., 2023)

Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys. - Long Chen 005; Yuchen Li 004; Chao Huang 006; Bai Li 002; Yang Xing; Daxin Tian; Li Li 013; Zhongxu Hu; Xiaoxiang Na; Zixuan Li; Siyu Teng; Chen Lv; et al. (IEEE Trans. Intell. Veh., 2023)

Predictive Neural Motion Planner for Autonomous Driving Using Graph Networks. - Xiaoyu Mo; Chen Lv (IEEE Trans. Intell. Veh., 2023)

Driving Behavior Modeling and Characteristic Learning for Human-like Decision-Making in Highway. - Can Xu; Wanzhong Zhao; Chunyan Wang 013; Taowen Cui; Chen Lv (IEEE Trans. Intell. Veh., 2023)

Prescribed-Time Performance Recovery Fault Tolerant Control of Platoon With Nominal Constraints Guarantee. - Jinheng Han; Junzhi Zhang; Chengkun He; Chen Lv; Chao Li 036; Yuan Ji; Xiaohui Hou (IEEE Trans. Intell. Transp. Syst., 2023)

Robust Decision Making for Autonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement Learning Approach. - Xiangkun He; Baichuan Lou; Haohan Yang; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2023)

Online Learning-Informed Feedforward-Feedback Controller Synthesis for Path Tracking of Autonomous Vehicles. - Hao Chen; Chen Lv (IEEE Trans. Intell. Veh., 2023)

A New Era of Intelligent Vehicles and Intelligent Transportation Systems: Digital Twins and Parallel Intelligence. - Ziran Wang; Chen Lv; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2023)

Towards Energy-Efficient Autonomous Driving: A Multi-Objective Reinforcement Learning Approach. - Xiangkun He; Chen Lv (IEEE CAA J. Autom. Sinica, 2023)

Map-Adaptive Multimodal Trajectory Prediction Using Hierarchical Graph Neural Networks. - Xiaoyu Mo; Yang Xing; Haochen Liu; Chen Lv (IEEE Robotics Autom. Lett., 2023)

Takeover quality prediction based on driver physiological state of different cognitive tasks in conditionally automated driving. - Jieyu Zhu; Yanli Ma; Yiran Zhang; Yaping Zhang; Chen Lv (Adv. Eng. Informatics, 2023)

FPattNet: A Multi-Scale Feature Fusion Network with Occlusion Awareness for Depth Estimation of Light Field Images. - Min Xiao; Chen Lv; Xiaomin Liu (Sensors, 2023)

Milestones in Autonomous Driving and Intelligent Vehicles - Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors. - Long Chen 005; Yuchen Li 004; Chao Huang 006; Yang Xing; Daxin Tian; Li Li 013; Zhongxu Hu; Siyu Teng; Chen Lv; Jinjun Wang; Dongpu Cao; Nanning Zheng 001; et al. (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A Robust CACC Scheme Against Cyberattacks via Multiple Vehicle-to-Vehicle Networks. - Tianci Yang; Carlos Murguia; Dragan Nesic; Chen Lv (IEEE Trans. Veh. Technol., 2023)

Toward Intelligent Connected E-Mobility: Energy-Aware Cooperative Driving With Deep Multiagent Reinforcement Learning. - Xiangkun He; Chen Lv (IEEE Veh. Technol. Mag., 2023)

Brain-Inspired Modeling and Decision-Making for Human-Like Autonomous Driving in Mixed Traffic Environment. - Peng Hang; Yiran Zhang; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2023)

How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction? - Wenbo Shao; Yanchao Xu; Jun Li; Chen Lv; Weida Wang; Hong Wang 014 (IEEE Trans. Intell. Transp. Syst., 2023)

Foundation Vehicles: From Foundation Intelligence to Foundation Transportation for Future Mobility. - Fei-Yue Wang 001; Chen Lv (IEEE Trans. Intell. Veh., 2023)

Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous Driving. - Zhiyu Huang; Jingda Wu; Chen Lv (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Game Theoretical Chassis Domain Approach to Trajectory Tracking for Automated Vehicles. - Shuo Cheng; Hao Chen; Zheng Wang 039; Bo Yang 044; Chen Lv; Kimihiko Nakano (IEEE Trans. Veh. Technol., 2023)

Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation. - Jingda Wu; Yanxin Zhou; Haohan Yang; Zhiyu Huang; Chen Lv (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Optimal Path Tracking Control Based on Online Modeling for Autonomous Vehicle With Completely Unknown Parameters. - Yuan Ji; Junzhi Zhang; Chen Lv; Chengkun He; Hao Chen; Jinheng Han; Xiaohui Hou (IEEE Trans. Intell. Transp. Syst., 2023)

Risk Assessment for Connected Vehicles Under Stealthy Attacks on Vehicle-to-Vehicle Networks. - Tianci Yang; Carlos Murguia; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2023)

A Robust Driver Emotion Recognition Method Based on High-Purity Feature Separation. - Lie Yang; Haohan Yang; Bin-Bin Hu; Yan Wang; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2023)

Fault-Tolerant Vehicle Stability Control Based on Active Steering and Direct Yaw Moment With Finite-Time Constraint Performance Recovery. - Yuan Ji; Junzhi Zhang; Chen Lv; Chengkun He; Xiaohui Hou; Jinheng Han (IEEE Trans. Veh. Technol., 2023)

Model-Based Design of an Active Suspension for the Improvement of In-Wheel Motor Drive Electric Vehicle. - Haolun Xu; Jianjian Liu; Tongqiang Luo; Yifan Yao; Chen Lv (IEEE Access, 2024)

Lane changing maneuver prediction by using driver's spatio-temporal gaze attention inputs for naturalistic driving. - Jingyuan Li; Titong Jiang; He Liu; Yingbo Sun; Chen Lv; Qingkun Li; Guodong Yin; Yahui Liu (Adv. Eng. Informatics, 2024)

Ordering-Flexible Multi-Robot Coordination for MovingTarget Convoying Using Long-TermTask Execution. - Bin-Bin Hu; Yanxin Zhou; Henglai Wei; Yan Wang; Chen Lv (CoRR, 2024)

Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving. - Zhiyu Huang; Chen Tang; Chen Lv; Masayoshi Tomizuka; Wei Zhan (CoRR, 2024)

Hybrid-Prediction Integrated Planning for Autonomous Driving. - Haochen Liu; Zhiyu Huang; Wenhui Huang; Haohan Yang; Xiaoyu Mo; Chen Lv (CoRR, 2024)

Boosting Long-Delayed Reinforcement Learning with Auxiliary Short-Delayed Task. - Qingyuan Wu; Simon Sinong Zhan; Yixuan Wang 001; Chung-Wei Lin; Chen Lv; Qi Zhu; Chao Huang 015 (CoRR, 2024)

Abductive Ego-View Accident Video Understanding for Safe Driving Perception. - Jianwu Fang; Lei-Lei Li; Junfei Zhou; Junbin Xiao; Hongkai Yu; Chen Lv; Jianru Xue; Tat-Seng Chua (CoRR, 2024)

Versatile Scene-Consistent Traffic Scenario Generation as Optimization with Diffusion. - Zhiyu Huang; Zixu Zhang; Ameya Vaidya; Yuxiao Chen 008; Chen Lv; Jaime Fernández Fisac (CoRR, 2024)

Deep Koopman Operator-Informed Safety Command Governor for Autonomous Vehicles. - Hao Chen; Xiangkun He; Shuo Cheng; Chen Lv (CoRR, 2024)

Incorporating ESO into Deep Koopman Operator Modelling for Control of Autonomous Vehicles. - Hao Chen; Chen Lv (CoRR, 2024)

Variational Delayed Policy Optimization. - Qingyuan Wu; Simon Sinong Zhan; Yixuan Wang 001; Yuhui Wang; Chung-Wei Lin; Chen Lv; Qi Zhu 002; Chao Huang 015 (CoRR, 2024)

Impact of user engagement on virtual reality behavioral response from the human-computer interaction perspective toward a service context: A hybrid statistics and machine learning approach. - Zhiqi Yan; Chen Lv; Qi Chen; Dawei Shang (Expert Syst. Appl., 2024)

MMAIndoor: Patched MLP and multi-dimensional cross attention based self-supervised indoor depth estimation. - Chen Lv; Chenggong Han; Tianshu Song; He Jiang; Qiqi Kou; Jiansheng Qian; Deqiang Cheng (Neurocomputing, 2024)

Personalized robotic control via constrained multi-objective reinforcement learning. - Xiangkun He; Zhongxu Hu; Haohan Yang; Chen Lv (Neurocomputing, 2024)

Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving. - Xiangkun He; Jingda Wu; Zhiyu Huang; Zhongxu Hu; Jun Wang 012; Alberto L. Sangiovanni-Vincentelli; Chen Lv (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Robotic Control in Adversarial and Sparse Reward Environments: A Robust Goal-Conditioned Reinforcement Learning Approach. - Xiangkun He; Chen Lv (IEEE Trans. Artif. Intell., 2024)

Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving. - Jingda Wu; Zhiyu Huang; Wenhui Huang; Chen Lv (IEEE Trans. Neural Networks Learn. Syst., 2024)

Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation. - Wenhui Huang; Yanxin Zhou; Xiangkun He; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2024)

Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach. - Haohan Yang; Haochen Liu; Zhongxu Hu; Anh-Tu Nguyen; Thierry-Marie Guerra; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2024)

Autonomous Navigation for eVTOL: Review and Future Perspectives. - Henglai Wei; Baichuan Lou; Zezhong Zhang; Bohang Liang; Fei-Yue Wang 001; Chen Lv (IEEE Trans. Intell. Veh., 2024)

Learning From the Dark Side: A Parallel Time Series Modelling Framework for Forecasting and Fault Detection on Intelligent Vehicles. - Yang Xing; Zhongxu Hu; Peng Hang; Chen Lv (IEEE Trans. Intell. Veh., 2024)

Using full-scale feature fusion for self-supervised indoor depth estimation. - Deqiang Cheng; Junhui Chen; Chen Lv; Chenggong Han; He Jiang (Multim. Tools Appl., 2024)

Social Radars for Social Vision of Intelligent Vehicles: A New Direction for Vehicle Research and Development. - Lili Fan; Xingxia Wang; Jing Yang; Yuhang Liu; Chen Lv; Hui Yu 001; Jiaqi Ma 003; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2024)

Augmenting Reinforcement Learning With Transformer-Based Scene Representation Learning for Decision-Making of Autonomous Driving. - Haochen Liu; Zhiyu Huang; Xiaoyu Mo; Chen Lv (IEEE Trans. Intell. Veh., 2024)

Scalable and Constrained Consensus in Multiagent Systems: Distributed Model Predictive Control-Based Approaches. - Henglai Wei; Bin-Bin Hu; Yan Wang; Chen Lv (IEEE Trans. Ind. Informatics, 2024)

Transformer-Based Traffic-Aware Predictive Energy Management of a Fuel Cell Electric Vehicle. - Jingda Wu; Zhiyu Huang; Chen Lv (IEEE Trans. Veh. Technol., 2024)

Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion. - Haohan Yang; Jingda Wu; Zhongxu Hu; Chen Lv (IEEE Trans. Ind. Electron., 2024)

A human-cyber-physical system enabled sequential disassembly planning approach for a human-robot collaboration cell in Industry 5.0. - Shanhe Lou; Yiran Zhang; Runjia Tan; Chen Lv (Robotics Comput. Integr. Manuf., 2024)

Map-Adaptive Multimodal Trajectory Prediction via Intention-Aware Unimodal Trajectory Predictors. - Xiaoyu Mo; Haochen Liu; Zhiyu Huang; Xiuxian Li; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2024)

Adaptive Leading Cruise Control in Mixed Traffic Considering Human Behavioral Diversity. - Qun Wang; Haoxuan Dong; Fei Ju; Weichao Zhuang; Chen Lv; Liangmo Wang; Ziyou Song (IEEE Trans. Intell. Transp. Syst., 2024)

A Hierarchical Distributed Coordination Framework for Flexible and Resilient Vehicle Platooning. - Henglai Wei; Vimal Rau Aparow; Bin-Bin Hu; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2024)