代表性研究成果
1. H. Wang, H. Liu, W. Wang, and L. Sun. On Trustworthy Decision-Making Process ofHumanDrivers from the View of Perceptual Uncertainty Reduction [J]. IEEE Transactions on Intelligent Transportation Systems, 2023.（SCI）
2. H. Wang, W. Wang, S. Yuan, X. Li, and L. Sun. On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic [J]. IEEE Transactions on Intelligent Transportation Systems, 2022.（SCI）
3. H. Wang, H. Gao, S. Yuan, H. Zhao, K. Wang, X. Wang, K. Li, and D. Li. Interpretable Decision-Making for Autonomous Vehicles at Highway On-Ramps with Latent Space Reinforcement Learning [J]. IEEE Transactions on Vehicular Technology, 2021.（SCI）
4. H. Wang, W. Wang, S. Yuan, and X. Li. Uncovering Interpretable Internal States of Merging Tasks at Highway On-Ramps for Autonomous Driving Decision-Making [J]. IEEE Transactions on Automation Science and Engineering, 2022.（SCI）
5. H. Wang, S. Yuan, M. Guo, C. Chan, X. Li, and W. Lan. Tactical driving decisions of unmanned ground vehicles in complex highway environments: A deep reinforcement learning approach [J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2021.（SCI）
6. H. Wang, S. Yuan, M. Guo, X. Li, and W. Lan. A Deep Reinforcement Learning-Based Approach for Autonomous Driving in Highway On-Ramp Merge [J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2021.（SCI）
7. H. Liu, Y. Tang,H. Wang*. Improved Monte CarloLocalizationBased on Probability Density Maps for Autonomous Mobile Robots [C]. 2023 6th IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2023.（EI）
8. M. Li, H. Liu,H. Wang*, and M. Xia. Trustworthy dynamic object tracking using deep reinforcement learning with the self-attention mechanism [C]. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE, 2023.（EI）
