| Hybrid electric vehicle energy management with computer vision and deep reinforcement learning Y Wang, H Tan, Y Wu, J Peng IEEE Transactions on Industrial Informatics 17 (6), 3857-3868, 2020 | 84 | 2020 |
| Cooperative energy management and eco-driving of plug-in hybrid electric vehicle via multi-agent reinforcement learning Y Wang, Y Wu, Y Tang, Q Li, H He Applied Energy 332, 120563, 2023 | 47 | 2023 |
| A novel hierarchical predictive energy management strategy for plug-in hybrid electric bus combined with deep deterministic policy gradient H He, R Huang, X Meng, X Zhao, Y Wang, M Li Journal of Energy Storage 52, 104787, 2022 | 32 | 2022 |
| Energy Management Strategy for Plug-in Hybrid Electric Bus based on Improved Deep Deterministic Policy Gradient Algorithm with Prioritized Replay R Huang, H He, X Meng, Y Wang, R Lian, Y Wei 2021 IEEE Vehicle Power and Propulsion Conference (VPPC), 2022 | 9 | 2022 |
| Deep reinforcement learning based energy management strategies for electrified vehicles: Recent advances and perspectives H He, X Meng, Y Wang, A Khajepour, X An, R Wang, F Sun Renewable and Sustainable Energy Reviews 192, 114248, 2024 | 6 | 2024 |
| Energy management optimization for connected hybrid electric vehicle using offline reinforcement learning YS Hongwen He, Zegong Niu, Yong Wang, Ruchen Huang Journal of Energy Storage, 2023 | 6 | 2023 |
| Multi-modality 3D object detection in autonomous driving: A review Y Tang, H He, Y Wang, Z Mao, H Wang Neurocomputing, 126587, 2023 | 5 | 2023 |
| Energy Management Optimization for Connected Hybrid Electric Vehicle with Offline Reinforcement Learning N Zegong, H Hongwen, W Yong, H Ruchen 2022 IEEE 12th International Conference on Electronics Information and …, 2022 | 4 | 2022 |
| Estimating the energy consumption and driving range of electric vehicles with machine learning Y Wang, W Chenlong, H Hongwen Journal of Physics: Conference Series 2005 (1), 012131, 2021 | 3 | 2021 |
| Spatial–Temporal Traffic Modeling With a Fusion Graph Reconstructed by Tensor Decomposition Q Li, X Yang, Y Wang, Y Wu, D He IEEE Transactions on Intelligent Transportation Systems, 2023 | 2 | 2023 |
| Benchmarking deep reinforcement learning based energy management systems for hybrid electric vehicles W Yuankai, L Renzong, W Yong, L Yi CAAI International Conference on Artificial Intelligence, 613-625, 2022 | 2 | 2022 |
| Hierarchical vector transformer vehicle trajectories prediction with diffusion convolutional neural networks Y Tang, H He, Y Wang Neurocomputing 580, 127526, 2024 | 1 | 2024 |
| Utilizing a Diffusion Model for Pedestrian Trajectory Prediction in Semi-Open Autonomous Driving Environments Y Tang, H He, Y Wang, Y Wu IEEE Sensors Journal, 2024 | 1 | 2024 |
| Auto-tuning Dynamics Parameters of Intelligent Electric Vehicles via Bayesian Optimization Y Wang, R Lian, H He, J Betz, H Wei IEEE Transactions on Transportation Electrification, 2023 | 1 | 2023 |
| VISION-AIDED DEEP REINFORCEMENT LEARNING FOR ENERGY MANAGEMENT OF HYBRID ELECTRIC VEHICLES Y Wang, Y Wu, J Peng, H Tan, D Zeng, H He | 1 | 2019 |
| TCN-SA: a social attention network based on temporal convolutional network for vehicle trajectory prediction Q Li, B Ou, Y Liang, Y Wang, X Yang, L Li Journal of advanced transportation 2023, 2023 | | 2023 |
| 基于实车运行数据的锂离子电池健康状态估计 何洪文， 王浩宇， 王勇， 李双歧 机械工程学报 59 (22), 46-58, 2023 | | 2023 |
| FasterV-RCNN: Efficient Point Cloud 3D Object Detection Framework Y Tang, H He, Y Wang 2023 Asia Conference on Advanced Robotics, Automation, and Control …, 2023 | | 2023 |
| 分布式驱动电动汽车多执行器容错控制研究 李琴， 汤建明， 张博远， 陈勇， 王勇 汽车工程 12 (45), 2251-2259, 2023 | | 2023 |
| Tracking Control for Autonomous Four-Wheel Independently Driven Vehicle Based on Deep Reinforcement Learning J Tang, Q Li, Y Wang, D He, Y Chen 2022 6th CAA International Conference on Vehicular Control and Intelligence …, 2022 | | 2022 |
HE Hongwen 何洪文Professor of Mechanical Engineering,Beijing Institute of Technology北京理工大学Verified email at bit.edu.cn
