Jingda Wu

58 papers B 1C 2Journal 46Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
CyGen-SAC: A data-driven framework for representativeness metric and policy optimization in generation of multidimensional driving cycles.
Adv. Eng. Informatics
Julin Hu, Hongwen He, Jingda Wu
2026 J jnl
Energy-Efficient integrated thermal management for electric vehicles using evolutionary deep reinforcement learning.
Expert Syst. Appl.
Xin Guo, Jiankun Peng, Jingda Wu, Changcheng Wu, Chunye Ma
2026 J jnl
Q-Advantage Integrated Human-Guided Reinforcement Learning for Safe End-to-End Autonomous Driving.
IEEE Trans. Intell. Transp. Syst.
Yong Wang, Pei Wang, Hongwen He, Jingda Wu, Yingjuan Tang, Zirui Kuang
2025 J jnl
"Feariosity"-Guided Reinforcement Learning for Safe and Efficient Autonomous End-to-End Navigation.
IEEE Robotics Autom. Lett.
Dong Hu, Longfei Mo, Jingda Wu, Chao Huang
2025 J jnl
A Novel Experience Replay-Based Offline Deep Reinforcement Learning for Energy Management of Hybrid Electric Vehicles.
IEEE Trans. Ind. Electron.
Zegong Niu, Jingda Wu, Hongwen He
2025 J jnl
Active Scene Recognition for Domestic Robots: Observing, Moving, and Recognizing.
IEEE Trans. Syst. Man Cybern. Syst.
Shaopeng Liu, Chao Huang, Hailong Huang, Jingda Wu
2025 J jnl
Efficient Knowledge-Guided Self-Evolving Intelligent Behavioral Control for Autonomous Vehicles.
IEEE CAA J. Autom. Sinica
Qiao Peng, Kailong Liu, Jingda Wu, Amir Khajepour
2025 J jnl
Enhancing Fuel Cell Electric Vehicle Efficiency With an Information-Bridged Hierarchical Reinforcement Learning Method.
IEEE Trans. Intell. Transp. Syst.
Menglin Li, Xiangqi Wan, Jingda Wu, Mei Yan, Hongwen He
2025 — conf
Generalizing Autonomous Navigation via Human-Guided Diffusion Policies with Adversarial Reinforcement Learning.
ITSC
Dong Hu, Yangyang Zhou, Fengqing Hu, Chao Huang, Jingda Wu, Andrey V. Savkin
2025 J jnl
Human-Guided Continual Learning for Personalized Decision-Making of Autonomous Driving.
IEEE Trans. Intell. Transp. Syst.
Haohan Yang, Yanxin Zhou, Jingda Wu, Haochen Liu, Lie Yang, Chen Lv
2025 J jnl
Intelligent EV Charging Control and Management: From Microscale Battery Cell to Macroscale Grid Synergy.
IEEE Trans. Intell. Veh.
Henglai Wei, Jingda Wu, Chen Lv, Shichun Yang, Hui Zhang, Kamal Al-Haddad
2025 J jnl
Toward Multi-Task Generalization in Autonomous Navigation: A Human-in-the-Loop Adversarial Reinforcement Learning With Diffusion Policy.
IEEE Trans. Intell. Transp. Syst.
Dong Hu, Chao Huang, Jingda Wu, Xin Yuan
2025 J jnl
Trust-Calibrated Human-in-the-Loop Reinforcement Learning for Safe and Efficient Autonomous Navigation.
IEEE Internet Things J.
Dong Hu, Guangzhong Zhou, Jingda Wu, Chao Huang
2024 J jnl
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Third BARN Challenge at ICRA 2024 [Competitions].
IEEE Robotics Autom. Mag.
Xuesu Xiao, Zifan Xu, Aniket Datar, Garrett Warnell, Peter Stone, Joshua Julian Damanik, Jaewon Jung, Chala Adane Deresa, Than Duc Huy, Chen Jinyu, Chen Yichen, Joshua Adrian Cahyono, Jingda Wu, Longfei Mo, Mingyang Lv, Bowen Lan, Qingyang Meng, Weizhi Tao, Li Cheng
2024 J jnl
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024.
CoRR
Xuesu Xiao, Zifan Xu, Aniket Datar, Garrett Warnell, Peter Stone, Joshua Julian Damanik, Jaewon Jung, Chala Adane Deresa, Than Duc Huy, Chen Jinyu, Chen Yichen, Joshua Adrian Cahyono, Jingda Wu, Longfei Mo, Mingyang Lv, Bowen Lan, Qingyang Meng, Weizhi Tao, Li Cheng
2024 J jnl
Differentiable Integrated Motion Prediction and Planning With Learnable Cost Function for Autonomous Driving.
IEEE Trans. Neural Networks Learn. Syst.
Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv
2024 — conf
Enhancing Driving Representation with Vector Quantized Encoding for Behavior Planning in Autonomous Driving.
ITSC
Jingda Wu, Chao Huang, Hailong Huang, Bowen Lan
2024 J jnl
Ensembled Traffic-Aware Transformer-Based Predictive Energy Management for Electrified Vehicles.
IEEE Trans. Intell. Transp. Syst.
Jingda Wu, Zhongbao Wei, Hongwen He, Henglai Wei, Shuangqi Li, Fei Gao
2024 — conf
Event-Triggered Control for Automated Vehicles Based on Safe Reinforcement Learning.
ITSC
Fengqing Hu, Jingda Wu, Chao Huang
2024 J jnl
Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiangkun He, Jingda Wu, Zhiyu Huang, Zhongxu Hu, Jun Wang, Alberto L. Sangiovanni-Vincentelli, Chen Lv
2024 J jnl
Human-Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles.
IEEE Trans. Syst. Man Cybern. Syst.
Jingda Wu, Haohan Yang, Lie Yang, Yi Huang, Xiangkun He, Chen Lv
2024 C conf
Learning Based Model Predictive Path Tracking Control for Autonomous Buses.
IV
Mo Han, Hongwen He, Jianfei Cao, Jingda Wu, Wei Liu, Man Shi
2024 J jnl
Pre-trained Transformer-Enabled Strategies with Human-Guided Fine-Tuning for End-to-end Navigation of Autonomous Vehicles.
CoRR
Dong Hu, Chao Huang, Jingda Wu, Hongbo Gao
2024 J jnl
Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving.
IEEE Trans. Neural Networks Learn. Syst.
Jingda Wu, Zhiyu Huang, Wenhui Huang, Chen Lv
2024 J jnl
Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion.
IEEE Trans. Ind. Electron.
Haohan Yang, Jingda Wu, Zhongxu Hu, Chen Lv
2024 J jnl
Sampling Efficient Deep Reinforcement Learning Through Preference-Guided Stochastic Exploration.
IEEE Trans. Neural Networks Learn. Syst.
Wenhui Huang, Cong Zhang, Jingda Wu, Xiangkun He, Jie Zhang, Chen Lv
2024 J jnl
Towards efficient multi-modal 3D object detection: Homogeneous sparse fuse network.
Expert Syst. Appl.
Yingjuan Tang, Hongwen He, Yong Wang, Jingda Wu
2024 J jnl
Transformer-Based Traffic-Aware Predictive Energy Management of a Fuel Cell Electric Vehicle.
IEEE Trans. Veh. Technol.
Jingda Wu, Zhiyu Huang, Chen Lv
2023 J jnl
Conditional Predictive Behavior Planning With Inverse Reinforcement Learning for Human-Like Autonomous Driving.
IEEE Trans. Intell. Transp. Syst.
Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv
2023 J jnl
Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous Driving.
IEEE Trans. Neural Networks Learn. Syst.
Zhiyu Huang, Jingda Wu, Chen Lv
2023 J jnl
Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingda Wu, Yanxin Zhou, Haohan Yang, Zhiyu Huang, Chen Lv
2023 — conf
Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving.
ITSC
Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv
2023 J jnl
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving.
CoRR
Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv
2023 J jnl
Uncertainty-Aware Model-Based Reinforcement Learning: Methodology and Application in Autonomous Driving.
IEEE Trans. Intell. Veh.
Jingda Wu, Zhiyu Huang, Chen Lv
2022 J jnl
Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving.
CoRR
Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv
2022 J jnl
Deep Deterministic Policy Gradient-DRL Enabled Multiphysics-Constrained Fast Charging of Lithium-Ion Battery.
IEEE Trans. Ind. Electron.
Zhongbao Wei, Zhongyi Quan, Jingda Wu, Yang Li, Josep Pou, Hao Zhong
2022 J jnl
Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving.
CoRR
Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv
2022 J jnl
Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst.
Zhiyu Huang, Jingda Wu, Chen Lv
2022 — conf
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios.
ITSC
Qi Liu, Zirui Li, Xueyuan Li, Jingda Wu, Shihua Yuan
2022 J jnl
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments.
CoRR
Qi Liu, Zirui Li, Xueyuan Li, Jingda Wu, Shihua Yuan
2022 J jnl
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges.
CoRR
Qi Liu, Xueyuan Li, Zirui Li, Jingda Wu, Guodong Du, Xin Gao, Fan Yang, Shihua Yuan
2022 C conf
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving.
IV
Haochen Liu, Zhiyu Huang, Jingda Wu, Chen Lv
2022 — conf
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning.
ITSC
Jingda Wu, Wenhui Huang, Niels de Boer, Yanghui Mo, Xiangkun He, Chen Lv
2022 J jnl
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning.
CoRR
Jingda Wu, Wenhui Huang, Niels de Boer, Yanghui Mo, Xiangkun He, Chen Lv
2022 J jnl
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration.
CoRR
Wenhui Huang, Cong Zhang, Jingda Wu, Xiangkun He, Jie Zhang, Chen Lv
2021 J jnl
Battery Thermal- and Health-Constrained Energy Management for Hybrid Electric Bus Based on Soft Actor-Critic DRL Algorithm.
IEEE Trans. Ind. Informatics
Jingda Wu, Zhongbao Wei, Weihan Li, Yu Wang, Yunwei Li, Dirk Uwe Sauer
2021 — conf
Digital Twin-enabled Reinforcement Learning for End-to-end Autonomous Driving.
DTPI
Jingda Wu, Zhiyu Huang, Peng Hang, Chao Huang, Niels de Boer, Chen Lv
2021 — conf
Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome.
NeurIPS (Competition and Demos)
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
2021 J jnl
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving.
CoRR
Zhiyu Huang, Jingda Wu, Chen Lv
2021 J jnl
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving.
CoRR
Jingda Wu, Zhiyu Huang, Chao Huang, Zhongxu Hu, Peng Hang, Yang Xing, Chen Lv
2021 J jnl
Personalized Trajectory Planning and Control of Lane-Change Maneuvers for Autonomous Driving.
IEEE Trans. Veh. Technol.
Chao Huang, Hailong Huang, Peng Hang, Hongbo Gao, Jingda Wu, Zhiyu Huang, Chen Lv
2021 J jnl
Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving.
CoRR
Jingda Wu, Zhiyu Huang, Wenhui Huang, Chen Lv
2021 J jnl
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving.
CoRR
Jingda Wu, Zhiyu Huang, Chen Lv
2020 J jnl
Battery-Involved Energy Management for Hybrid Electric Bus Based on Expert-Assistance Deep Deterministic Policy Gradient Algorithm.
IEEE Trans. Veh. Technol.
Jingda Wu, Zhongbao Wei, Kailong Liu, Zhongyi Quan, Yunwei Li
2020 J jnl
Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning.
CoRR
Zhiyu Huang, Chen Lv, Jingda Wu
2020 J jnl
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding.
CoRR
Zhiyu Huang, Chen Lv, Yang Xing, Jingda Wu
2020 B conf
Reference-Free Human-Automation Shared Control for Obstacle Avoidance of Automated Vehicles.
SMC
Chao Huang, Peng Hang, Jingda Wu, Anh-Tu Nguyen, Chen Lv
2017 — conf
MEMS resonant mass sensor with enabled optical trapping.
NEMS
Ethan G. Keeler, Peifeng Jing, Jingda Wu, Chen Zou, Lih Y. Lin