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ORCIDJingda Wu
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2020 – today
- 2025
[j20]Haohan Yang, Yanxin Zhou, Jingda Wu, Haochen Liu, Lie Yang, Chen Lv:
Human-Guided Continual Learning for Personalized Decision-Making of Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 26(4): 5435-5447 (2025)- 2024
- [j19]Yingjuan Tang
, Hongwen He, Yong Wang, Jingda Wu:
Towards efficient multi-modal 3D object detection: Homogeneous sparse fuse network. Expert Syst. Appl. 256: 124945 (2024) - [j18]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): 267-279 (2024) - [j17]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:
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Third BARN Challenge at ICRA 2024 [Competitions]. IEEE Robotics Autom. Mag. 31(3): 197-204 (2024) - [j16]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): 4999-5009 (2024) - [j15]Jingda Wu, Zhongbao Wei, Hongwen He, Henglai Wei, Shuangqi Li, Fei Gao:
Ensembled Traffic-Aware Transformer-Based Predictive Energy Management for Electrified Vehicles. IEEE Trans. Intell. Transp. Syst. 25(9): 12333-12346 (2024) - [j14]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): 855-869 (2024) - [j13]Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv:
Differentiable Integrated Motion Prediction and Planning With Learnable Cost Function for Autonomous Driving. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15222-15236 (2024) - [j12]Wenhui Huang, Cong Zhang, Jingda Wu, Xiangkun He, Jie Zhang, Chen Lv:
Sampling Efficient Deep Reinforcement Learning Through Preference-Guided Stochastic Exploration. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18553-18564 (2024) - [j11]Jingda Wu, Haohan Yang, Lie Yang, Yi Huang, Xiangkun He, Chen Lv:
Human-Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 6595-6609 (2024) - [j10]Jingda Wu, Zhiyu Huang, Chen Lv:
Transformer-Based Traffic-Aware Predictive Energy Management of a Fuel Cell Electric Vehicle. IEEE Trans. Veh. Technol. 73(4): 4659-4670 (2024) - [c9]Mo Han, Hongwen He, Jianfei Cao, Jingda Wu, Wei Liu, Man Shi:
Learning Based Model Predictive Path Tracking Control for Autonomous Buses. IV 2024: 2680-2687 - [i15]Dong Hu, Chao Huang, Jingda Wu, Hongbo Gao:
Pre-trained Transformer-Enabled Strategies with Human-Guided Fine-Tuning for End-to-end Navigation of Autonomous Vehicles. CoRR abs/2402.12666 (2024) - [i14]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:
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024. CoRR abs/2407.01862 (2024) - 2023
- [j9]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): 14745-14759 (2023) - [j8]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): 7244-7258 (2023) - [j7]Jingda Wu, Zhiyu Huang, Chen Lv:
Uncertainty-Aware Model-Based Reinforcement Learning: Methodology and Application in Autonomous Driving. IEEE Trans. Intell. Veh. 8(1): 194-203 (2023) - [j6]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): 7391-7403 (2023) - [c8]Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv:
Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving. ITSC 2023: 4820-4826 - [i13]Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv:
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving. CoRR abs/2302.03939 (2023) - 2022
- [j5]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): 2588-2598 (2022) - [j4]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): 10239-10251 (2022) - [c7]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: 1228-1233 - [c6]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: 4074-4081 - [c5]Haochen Liu, Zhiyu Huang, Jingda Wu, Chen Lv:
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving. IV 2022: 921-928 - [i12]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 abs/2201.12776 (2022) - [i11]Wenhui Huang, Cong Zhang, Jingda Wu, Xiangkun He, Jie Zhang, Chen Lv:
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration. CoRR abs/2206.09627 (2022) - [i10]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 abs/2207.00448 (2022) - [i9]Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv:
Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving. CoRR abs/2207.10422 (2022) - [i8]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 abs/2211.03005 (2022) - [i7]Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv:
Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving. CoRR abs/2212.08787 (2022) - 2021
- [j3]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): 3751-3761 (2021) - [j2]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): 5511-5523 (2021) - [c4]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: 62-65 - [c3]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: 73-84 - [i6]Zhiyu Huang, Jingda Wu, Chen Lv:
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving. CoRR abs/2103.10690 (2021) - [i5]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 abs/2104.07246 (2021) - [i4]Jingda Wu, Zhiyu Huang, Chen Lv:
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving. CoRR abs/2106.12194 (2021) - [i3]Jingda Wu, Zhiyu Huang, Wenhui Huang, Chen Lv:
Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving. CoRR abs/2109.12516 (2021) - 2020
- [j1]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): 12786-12796 (2020) - [c2]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: 4398-4403 - [i2]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 abs/2005.09202 (2020) - [i1]Zhiyu Huang, Chen Lv, Jingda Wu:
Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning. CoRR abs/2010.03118 (2020)
2010 – 2019
- 2017
- [c1]Ethan G. Keeler, Peifeng Jing, Jingda Wu, Chen Zou, Lih Y. Lin:
MEMS resonant mass sensor with enabled optical trapping. NEMS 2017: 639-643
Coauthor Index
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