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All papers authored by Jingda Wu

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2024 Haohan Yang

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, Jingda Wu

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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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Dong Hu, Chao Huang

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, Guodong Yin, Yangmin Li

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, Yue Huang, Hailong Huang

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, Jingda Wu

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, Wenfei Li, Hui Xie

A transfer-based reinforcement learning collaborative energy management strategy for extended-range electric buses with cabin temperature comfort consideration

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Jingda Wu

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, Hailong Huang

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Confidence-aware reinforcement learning for energy management of electrified vehicles

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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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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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Zhiyu Huang

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, Jingda Wu

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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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Menglin Li, Haoran Liu, Mei Yan

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, Jingda Wu

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, Lisheng Jin, Hongwen He

Data-driven bi-level predictive energy management strategy for fuel cell buses with algorithmics fusion

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Zhiyu Huang

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, Jingda Wu

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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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Jingda Wu

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, Zhiyu Huang, Zhongxu Hu, Chen Lv

Toward Human-in-the-Loop AI: Enhancing Deep Reinforcement Learning via Real-Time Human Guidance for Autonomous Driving

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Yiying Zhang

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, Chao Huang, Hailong Huang

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, Jingda Wu

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Multiple learning neural network algorithm for parameter estimation of proton exchange membrane fuel cell models

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Zhiyu Huang

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, Jingda Wu

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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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Jiankun Peng

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, Jiaxuan Zhou, Jun Chen

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, Dawei Pi

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, Jingda Wu

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, Hongliang Wang

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, Fan Ding

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Multiple Electric Components Health-Aware Eco-Driving Strategy for Fuel Cell Hybrid Electric Vehicle Based on Soft Actor-Critic Algorithm

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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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, Jingda Wu

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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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, Jingda Wu

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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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2022 Jingda Wu

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, Niels de Boer, Yanghui Mo, Xiangkun He, Chen Lv

Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning

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Zhiyu Huang, Jingda Wu

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, Chen Lv

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Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement Learning

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Zhongbao Wei

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, Jingda Wu

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, Yang Li

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, Josep Pou, Hao Zhong

Deep Deterministic Policy Gradient-DRL Enabled Multiphysics-Constrained Fast Charging of Lithium-Ion Battery

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Jingda Wu

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, Chen Lv

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Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving

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