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All papers authored by Chen Lv

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2024 Haohan Yang

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, Chen Lv

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Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion

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Haohan Yang

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, Anh-Tu Nguyen

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, Thierry-Marie Guerra, Chen Lv

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Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach

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Zhongxu Hu

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, Qinghua Li, Kui Su, Chen Lv

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Context-Aware Driver Attention Estimation Using Multi-Hierarchy Saliency Fusion With Gaze Tracking

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Shanhe Lou

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, Chen Lv

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Human-Cyber-Physical System for Industry 5.0: A Review From a Human-Centric Perspective

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Jingda Wu

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, Chen Lv

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Transformer-Based Traffic-Aware Predictive Energy Management of a Fuel Cell Electric Vehicle

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Lie Yang

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, Chen Lv

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Video-Based Driver Drowsiness Detection With Optimised Utilization of Key Facial Features

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Xiaoyu Mo

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, Chen Lv

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Map-Adaptive Multimodal Trajectory Prediction via Intention-Aware Unimodal Trajectory Predictors

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2023 Jingda Wu

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, Chen Lv

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Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation

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Xiangkun He

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, Chen Lv

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Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees

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Zhiyu Huang

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, Chen Lv

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Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous Driving

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Zhiyu Huang

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, Chen Lv

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Conditional Predictive Behavior Planning With Inverse Reinforcement Learning for Human-Like Autonomous Driving

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Xiaoyu Mo

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, Chen Lv

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Map-Adaptive Multimodal Trajectory Prediction Using Hierarchical Graph Neural Networks

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Yan Wang

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, Shanhe Lou, Chen Lv

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Interacting multiple model-based ETUKF for efficient state estimation of connected vehicles with V2V communication

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Zhiyu Huang

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, Chen Lv

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Differentiable Integrated Motion Prediction and Planning With Learnable Cost Function for Autonomous Driving

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Wenhui Huang

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, Yanxin Zhou, Xiangkun He

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, Chen Lv

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Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation

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Xiangkun He

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, Chen Lv

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Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach

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Jingda Wu

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, Ziyou Song, Chen Lv

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Deep Reinforcement Learning based Energy-efficient Decision-making for Autonomous Electric Vehicle in Dynamic Traffic Environments

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Xiangkun He

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, Jun Wang

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, Alberto Sangiovanni-Vincentelli

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, Chen Lv

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Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving

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Wenhui Huang

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, Jie Zhang, Chen Lv

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Sampling Efficient Deep Reinforcement Learning Through Preference-Guided Stochastic Exploration

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Jingda Wu

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, Chen Lv

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Uncertainty-Aware Model-Based Reinforcement Learning: Methodology and Application in Autonomous Driving

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