Jingda Wu

According to our database, Jingda Wu authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., May, 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., January, 2024

Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving.

Xiangkun He, Jingda Wu, Zhiyu Huang, Zhongxu Hu, Jun Wang, Alberto L. Sangiovanni-Vincentelli, Chen Lv

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Pre-trained Transformer-Enabled Strategies with Human-Guided Fine-Tuning for End-to-end Navigation of Autonomous Vehicles.

Dong Hu, Chao Huang, Jingda Wu, Hongbo Gao

CoRR, 2024

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., December, 2023

Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous Driving.

Zhiyu Huang, Jingda Wu, Chen Lv

IEEE Trans. Neural Networks Learn. Syst., October, 2023

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

Jingda Wu, Zhiyu Huang, Chen Lv

IEEE Trans. Intell. Veh., January, 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

Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving.

Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

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

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

Zhongbao Wei, Zhongyi Quan, Jingda Wu, Yang Li, Josep Pou, Hao Zhong

IEEE Trans. Ind. Electron., 2022

Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges.

Qi Liu, Xueyuan Li, Zirui Li, Jingda Wu, Guodong Du, Xin Gao, Fan Yang, Shihua Yuan

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

Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration.

Wenhui Huang, Cong Zhang, Jingda Wu, Xiangkun He, Jie Zhang, Chen Lv

CoRR, 2022

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments.

Qi Liu, Zirui Li, Xueyuan Li, Jingda Wu, Shihua Yuan

CoRR, 2022

Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving.

Haochen Liu, Zhiyu Huang, Jingda Wu, Chen Lv

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios.

Qi Liu, Zirui Li, Xueyuan Li, Jingda Wu, Shihua Yuan

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Personalized Trajectory Planning and Control of Lane-Change Maneuvers for Autonomous Driving.

Chao Huang, Hailong Huang, Peng Hang, Hongbo Gao, Jingda Wu, Zhiyu Huang, Chen Lv

IEEE Trans. Veh. Technol., 2021

Battery Thermal- and Health-Constrained Energy Management for Hybrid Electric Bus Based on Soft Actor-Critic DRL Algorithm.

Jingda Wu, Zhongbao Wei, Weihan Li, Yu Wang, Yunwei Li, Dirk Uwe Sauer

IEEE Trans. Ind. Informatics, 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

Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving.

Jingda Wu, Zhiyu Huang, Chen Lv

CoRR, 2021

Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving.

Jingda Wu, Zhiyu Huang, Chao Huang, Zhongxu Hu, Peng Hang, Yang Xing, Chen Lv

CoRR, 2021

Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

Digital Twin-enabled Reinforcement Learning for End-to-end Autonomous Driving.

Jingda Wu, Zhiyu Huang, Peng Hang, Chao Huang, Niels de Boer, Chen Lv

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020

Battery-Involved Energy Management for Hybrid Electric Bus Based on Expert-Assistance Deep Deterministic Policy Gradient Algorithm.

Jingda Wu, Zhongbao Wei, Kailong Liu, Zhongyi Quan, Yunwei Li

IEEE Trans. Veh. Technol., 2020

Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning.

Zhiyu Huang, Chen Lv, Jingda Wu

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

Reference-Free Human-Automation Shared Control for Obstacle Avoidance of Automated Vehicles.

Chao Huang, Peng Hang, Jingda Wu, Anh-Tu Nguyen, Chen Lv

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2017

MEMS resonant mass sensor with enabled optical trapping.

Ethan G. Keeler, Peifeng Jing, Jingda Wu, Chen Zou, Lih Y. Lin

Proceedings of the 12th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2017