| Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus J Wu, H He, J Peng, Y Li, Z Li Applied energy 222, 799-811, 2018 | 367 | 2018 |
| Battery thermal-and health-constrained energy management for hybrid electric bus based on soft actor-critic DRL algorithm J Wu, Z Wei, W Li, Y Wang, Y Li, DU Sauer IEEE Transactions on Industrial Informatics 17 (6), 3751-3761, 2020 | 245 | 2020 |
| Energy management based on reinforcement learning with double deep Q-learning for a hybrid electric tracked vehicle X Han, H He, J Wu, J Peng, Y Li Applied Energy 254, 113708, 2019 | 220 | 2019 |
| Battery-involved energy management for hybrid electric bus based on expert-assistance deep deterministic policy gradient algorithm J Wu, Z Wei, K Liu, Z Quan, Y Li IEEE Transactions on Vehicular Technology 69 (11), 12786-12796, 2020 | 172 | 2020 |
| Deep deterministic policy gradient-DRL enabled multiphysics-constrained fast charging of lithium-ion battery Z Wei, Z Quan, J Wu, Y Li, J Pou, H Zhong IEEE Transactions on Industrial Electronics 69 (3), 2588-2598, 2021 | 171 | 2021 |
| Multi-modal sensor fusion-based deep neural network for end-to-end autonomous driving with scene understanding Z Huang, C Lv, Y Xing, J Wu IEEE Sensors Journal 21 (10), 11781-11790, 2020 | 133 | 2020 |
| Driving behavior modeling using naturalistic human driving data with inverse reinforcement learning Z Huang, J Wu, C Lv IEEE transactions on intelligent transportation systems 23 (8), 10239-10251, 2021 | 129 | 2021 |
| Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving J Wu, Z Huang, Z Hu, C Lv Engineering 21, 75-91, 2023 | 123* | 2023 |
| Efficient deep reinforcement learning with imitative expert priors for autonomous driving Z Huang, J Wu, C Lv IEEE Transactions on Neural Networks and Learning Systems 34 (10), 7391-7403, 2022 | 105 | 2022 |
| Uncertainty-aware model-based reinforcement learning: Methodology and application in autonomous driving J Wu, Z Huang, C Lv IEEE Transactions on Intelligent Vehicles 8 (1), 194-203, 2022 | 84* | 2022 |
| Personalized trajectory planning and control of lane-change maneuvers for autonomous driving C Huang, H Huang, P Hang, H Gao, J Wu, Z Huang, C Lv IEEE Transactions on Vehicular Technology 70 (6), 5511-5523, 2021 | 69 | 2021 |
| Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving Z Huang, H Liu, J Wu, C Lv IEEE transactions on neural networks and learning systems, 2023 | 66 | 2023 |
| Improved deep reinforcement learning with expert demonstrations for urban autonomous driving H Liu, Z Huang, J Wu, C Lv 2022 IEEE intelligent vehicles symposium (IV), 921-928, 2022 | 66 | 2022 |
| Prioritized experience-based reinforcement learning with human guidance for autonomous driving J Wu, Z Huang, W Huang, C Lv IEEE Transactions on Neural Networks and Learning Systems 35 (1), 855-869, 2022 | 59 | 2022 |
| Energy management strategy for a series hybrid electric vehicle using improved deep Q-network learning algorithm with prioritized replay Y Li, H He, J Peng, J Wu DEStech Transactions on Environment, Energy and Earth Sciences 978 (1), 1-6, 2018 | 35 | 2018 |
| Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving Z Huang, H Liu, J Wu, C Lv IEEE Transactions on Intelligent Transportation Systems 24 (7), 7244-7258, 2023 | 33 | 2023 |
| Comparative analysis on the rule-based control strategy of two typical hybrid electric vehicle powertrain J Wu, J Peng, H He, J Luo Energy Procedia 104, 384-389, 2016 | 25 | 2016 |
| Real-time driver cognitive workload recognition: Attention-enabled learning with multimodal information fusion H Yang, J Wu, Z Hu, C Lv IEEE Transactions on Industrial Electronics 71 (5), 4999-5009, 2023 | 19 | 2023 |
| Human-guided reinforcement learning with sim-to-real transfer for autonomous navigation J Wu, Y Zhou, H Yang, Z Huang, C Lv IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 18 | 2023 |
| Deep Reinforcement Learning-Based Energy-Efficient Decision-Making for Autonomous Electric Vehicle in Dynamic Traffic Environments J Wu, Z Song, C Lv IEEE Transactions on Transportation Electrification 10 (1), 875-887, 2023 | 17 | 2023 |
Chen Lv (吕辰)Associate Professor, Nanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
