| Graph-based spatial-temporal convolutional network for vehicle trajectory prediction in autonomous driving Z Sheng, Y Xu, S Xue, D Li IEEE Transactions on Intelligent Transportation Systems 23 (10), 17654-17665, 2022 | 166 | 2022 |
| A cooperation-aware lane change method for automated vehicles Z Sheng, L Liu, S Xue, D Zhao, M Jiang, D Li IEEE Transactions on Intelligent Transportation Systems 24 (3), 3236-3251, 2023 | 27* | 2023 |
| Human as AI mentor: Enhanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving Z Huang, Z Sheng, C Ma, S Chen Communications in Transportation Research 4, 100127, 2024 | 24 | 2024 |
| Toward C-V2X enabled connected transportation system: RSU-based cooperative localization framework for autonomous vehicles Z Huang, S Chen, Y Pian, Z Sheng, S Ahn, DA Noyce IEEE Transactions on Intelligent Transportation Systems, 2024 | 24* | 2024 |
| Longitudinal control of connected and automated vehicles among signalized intersections in mixed traffic flow with deep reinforcement learning approach C Liu, Z Sheng, S Chen, H Shi, B Ran Physica A: Statistical Mechanics and its Applications 629, 129189, 2023 | 20 | 2023 |
| Ego‐planning‐guided multi‐graph convolutional network for heterogeneous agent trajectory prediction Z Sheng, Z Huang, S Chen Computer‐Aided Civil and Infrastructure Engineering, 2024 | 12 | 2024 |
| HRPose: Real-time high-resolution 6D pose estimation network using knowledge distillation Q Guan, Z Sheng, S Xue Chinese Journal of Electronics 32 (1), 189-198, 2023 | 12 | 2023 |
| Real-time queue length estimation with trajectory reconstruction using surveillance data Z Sheng, S Xue, Y Xu, D Li 2020 16th International Conference on Control, Automation, Robotics and …, 2020 | 11 | 2020 |
| Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control Z Sheng, Z Huang, S Chen Communications in Transportation Research 4, 100142, 2024 | 10 | 2024 |
| Kinematics-aware multigraph attention network with residual learning for heterogeneous trajectory prediction Z Sheng, Z Huang, S Chen Journal of Intelligent and Connected Vehicles 7 (2), 138-150, 2024 | 8 | 2024 |
| A physics enhanced residual learning (perl) framework for vehicle trajectory prediction K Long, Z Sheng, H Shi, X Li, S Chen, S Ahn arXiv preprint arXiv:2309.15284, 2023 | 7* | 2023 |
| Trustworthy human-ai collaboration: Reinforcement learning with human feedback and physics knowledge for safe autonomous driving Z Huang, Z Sheng, S Chen arXiv preprint arXiv:2409.00858, 2024 | 5 | 2024 |
| A distributed deep reinforcement learning-based longitudinal control strategy for connected automated vehicles combining attention mechanism C Liu, Z Sheng, P Li, S Chen, X Luo, B Ran Transportation Letters, 1-17, 2024 | 4 | 2024 |
| VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving Z Huang, Z Sheng, Y Qu, J You, S Chen arXiv preprint arXiv:2412.15544, 2024 | 1 | 2024 |
| CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models Z Sheng, Z Huang, Y Qu, Y Leng, S Bhavanam, S Chen arXiv preprint arXiv:2502.15119, 2025 | | 2025 |
| Towards 3D Semantic Scene Completion for Autonomous Driving: A Meta-Learning Framework Empowered by Deformable Large-Kernel Attention and Mamba Model Y Qu, Z Huang, Z Sheng, T Chen, S Chen arXiv preprint arXiv:2411.03672, 2024 | | 2024 |
Sikai ChenAssistant Professor, University of Wisconsin-Madisonכתובת אימייל מאומתת בדומיין wisc.edu