Sign in
Jingda Wu
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 33
Top Topics
Grand Challenge
Policy Gradient
Autonomous Driving
Energy Management
Top Venues
CoRR
ITSC
IEEE Trans. Neural Networks Learn. Syst.
IEEE Trans. Veh. Technol.
</>
Publications
</>
Haohan Yang
,
Jingda Wu
,
Zhongxu Hu
,
Chen Lv
Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion.
IEEE Trans. Ind. Electron.
71 (5) (2024)
Jingda Wu
,
Zhiyu Huang
,
Wenhui Huang
,
Chen Lv
Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving.
IEEE Trans. Neural Networks Learn. Syst.
35 (1) (2024)
Xiangkun He
,
Jingda Wu
,
Zhiyu Huang
,
Zhongxu Hu
,
Jun Wang
,
Alberto L. Sangiovanni-Vincentelli
,
Chen Lv
Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving.
IEEE Trans. Pattern Anal. Mach. Intell.
46 (1) (2024)
Zhiyu Huang
,
Haochen Liu
,
Jingda Wu
,
Chen Lv
Conditional Predictive Behavior Planning With Inverse Reinforcement Learning for Human-Like Autonomous Driving.
IEEE Trans. Intell. Transp. Syst.
24 (7) (2023)
Zhiyu Huang
,
Haochen Liu
,
Jingda Wu
,
Wenhui Huang
,
Chen Lv
Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving.
ITSC
(2023)
Zhiyu Huang
,
Jingda Wu
,
Chen Lv
Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous Driving.
IEEE Trans. Neural Networks Learn. Syst.
34 (10) (2023)
Jingda Wu
,
Zhiyu Huang
,
Chen Lv
Uncertainty-Aware Model-Based Reinforcement Learning: Methodology and Application in Autonomous Driving.
IEEE Trans. Intell. Veh.
8 (1) (2023)
Jingda Wu
,
Yanxin Zhou
,
Haohan Yang
,
Zhiyu Huang
,
Chen Lv
Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation.
IEEE Trans. Pattern Anal. Mach. Intell.
45 (12) (2023)
Zhiyu Huang
,
Haochen Liu
,
Jingda Wu
,
Wenhui Huang
,
Chen Lv
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving.
CoRR
(2023)
Haochen Liu
,
Zhiyu Huang
,
Jingda Wu
,
Chen Lv
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving.
IV
(2022)
Qi Liu
,
Xueyuan Li
,
Zirui Li
,
Jingda Wu
,
Guodong Du
,
Xin Gao
,
Fan Yang
,
Shihua Yuan
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges.
CoRR
(2022)
Zhiyu Huang
,
Jingda Wu
,
Chen Lv
Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst.
23 (8) (2022)
Zhiyu Huang
,
Haochen Liu
,
Jingda Wu
,
Chen Lv
Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving.
CoRR
(2022)
Jingda Wu
,
Wenhui Huang
,
Niels de Boer
,
Yanghui Mo
,
Xiangkun He
,
Chen Lv
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning.
ITSC
(2022)
Wenhui Huang
,
Cong Zhang
,
Jingda Wu
,
Xiangkun He
,
Jie Zhang
,
Chen Lv
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration.
CoRR
(2022)
Zhiyu Huang
,
Haochen Liu
,
Jingda Wu
,
Chen Lv
Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving.
CoRR
(2022)
Zhongbao Wei
,
Zhongyi Quan
,
Jingda Wu
,
Yang Li
,
Josep Pou
,
Hao Zhong
Deep Deterministic Policy Gradient-DRL Enabled Multiphysics-Constrained Fast Charging of Lithium-Ion Battery.
IEEE Trans. Ind. Electron.
69 (3) (2022)
Qi Liu
,
Zirui Li
,
Xueyuan Li
,
Jingda Wu
,
Shihua Yuan
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios.
ITSC
(2022)
Jingda Wu
,
Wenhui Huang
,
Niels de Boer
,
Yanghui Mo
,
Xiangkun He
,
Chen Lv
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning.
CoRR
(2022)
Qi Liu
,
Zirui Li
,
Xueyuan Li
,
Jingda Wu
,
Shihua Yuan
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments.
CoRR
(2022)
Jingda Wu
,
Zhiyu Huang
,
Chen Lv
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving.
CoRR
(2021)
Zhiyu Huang
,
Jingda Wu
,
Chen Lv
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving.
CoRR
(2021)
Jingda Wu
,
Zhongbao Wei
,
Weihan Li
,
Yu Wang
,
Yunwei Li
,
Dirk Uwe Sauer
Battery Thermal- and Health-Constrained Energy Management for Hybrid Electric Bus Based on Soft Actor-Critic DRL Algorithm.
IEEE Trans. Ind. Informatics
17 (6) (2021)
Jingda Wu
,
Zhiyu Huang
,
Wenhui Huang
,
Chen Lv
Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving.
CoRR
(2021)
Chao Huang
,
Hailong Huang
,
Peng Hang
,
Hongbo Gao
,
Jingda Wu
,
Zhiyu Huang
,
Chen Lv
Personalized Trajectory Planning and Control of Lane-Change Maneuvers for Autonomous Driving.
IEEE Trans. Veh. Technol.
70 (6) (2021)
Amir Rasouli
,
Soheil Alizadeh
,
Iuliia Kotseruba
,
Yi Ma
,
Hebin Liang
,
Yuan Tian
,
Zhiyu Huang
,
Haochen Liu
,
Jingda Wu
,
Randy Goebel
,
Tianpei Yang
,
Matthew E. Taylor
,
Liam Paull
,
Xi Chen
Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome.
NeurIPS (Competition and Demos)
(2021)
Jingda Wu
,
Zhiyu Huang
,
Peng Hang
,
Chao Huang
,
Niels de Boer
,
Chen Lv
Digital Twin-enabled Reinforcement Learning for End-to-end Autonomous Driving.
DTPI
(2021)
Jingda Wu
,
Zhiyu Huang
,
Chao Huang
,
Zhongxu Hu
,
Peng Hang
,
Yang Xing
,
Chen Lv
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving.
CoRR
(2021)
Jingda Wu
,
Zhongbao Wei
,
Kailong Liu
,
Zhongyi Quan
,
Yunwei Li
Battery-Involved Energy Management for Hybrid Electric Bus Based on Expert-Assistance Deep Deterministic Policy Gradient Algorithm.
IEEE Trans. Veh. Technol.
69 (11) (2020)
Chao Huang
,
Peng Hang
,
Jingda Wu
,
Anh-Tu Nguyen
,
Chen Lv
Reference-Free Human-Automation Shared Control for Obstacle Avoidance of Automated Vehicles.
SMC
(2020)
Zhiyu Huang
,
Chen Lv
,
Jingda Wu
Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning.
CoRR
(2020)
Zhiyu Huang
,
Chen Lv
,
Yang Xing
,
Jingda Wu
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding.
CoRR
(2020)
Ethan G. Keeler
,
Peifeng Jing
,
Jingda Wu
,
Chen Zou
,
Lih Y. Lin
MEMS resonant mass sensor with enabled optical trapping.
NEMS
(2017)