Jingda Wu

发表

Comparative Analysis on the Rule-based Control Strategy of Two Typical Hybrid Electric Vehicle Powertrain

Hongwen He, Jingda Wu, Jiankun Peng, 2016 .

Parameter Matching and Simulation Analysis of Electromechanical Coupling Device for Hybrid Electric Vehicle

Hongwen He, Jingda Wu, Jiankun Peng, 2017 .

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

Jingda Wu, Chen Lv, Zhiyu Huang, 2020, ArXiv.

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

Jingda Wu, Yu Wang, Zhongbao Wei, 2021, IEEE Transactions on Industrial Informatics.

Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus

Hongwen He, Jingda Wu, Jiankun Peng, 2018, Applied Energy.

Simulation Analysis on the Rule-based Energy Management of a Power-split Hybrid Electric Vehicle

Dong Wei, Jingda Wu, Hongwen He, 2019 .

Energy management based on reinforcement learning with double deep Q-learning for a hybrid electric tracked vehicle

Jingda Wu, Yuecheng Li, Hongwen He, 2019, Applied Energy.

Dynamic Modification of Two-parameter Shift Schedule for Automatic Mechanical Transmission in Electric Bus

Hongwen He, Jingda Wu, Jiankun Peng, 2017, 2017 Chinese Automation Congress (CAC).

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

Jingda Wu, Zhongyi Quan, Yun Wei Li, 2020, IEEE Transactions on Vehicular Technology.

Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding pdf

Jingda Wu, Chen Lv, Zhiyu Huang, 2020, ArXiv.

Energy Management Strategy for a Series Hybrid Electric Vehicle Using Improved Deep Q-network Learning Algorithm with Prioritized Replay

Hongwen He, Jingda Wu, Jiankun Peng, 2019, DEStech Transactions on Environment, Energy and Earth Sciences.

Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous Driving

Jingda Wu, Chen Lv, Zhiyu Huang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Multi-Modal Sensor Fusion-Based Deep Neural Network for End-to-End Autonomous Driving With Scene Understanding

Jingda Wu, Chen Lv, Zhiyu Huang, 2020, IEEE Sensors Journal.

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

Jingda Wu, Chen Lv, Zhiyu Huang, 2021, ArXiv.

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

Jingda Wu, Chen Lv, Zhiyu Huang, 2020, IEEE Transactions on Intelligent Transportation Systems.

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

Jingda Wu, Chen Lv, Chao Huang, 2021, ArXiv.

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

Jingda Wu, Zhongyi Quan, Josep Pou, 2021, IEEE Transactions on Industrial Electronics.

Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving pdf

Jingda Wu, Chen Lv, Wenhui Huang, 2021, ArXiv.

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

Jingda Wu, Chen Lv, Chao Huang, 2021, IEEE Transactions on Vehicular Technology.