| High-speed autonomous drifting with deep reinforcement learning P Cai, X Mei, L Tai, Y Sun, M Liu IEEE Robotics and Automation Letters 5 (2), 1247-1254, 2020 | 96 | 2020 |
| Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders J Cheng, X Mei, M Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 14 | 2023 |
| HGCN-GJS: Hierarchical graph convolutional network with groupwise joint sampling for trajectory prediction Y Chen, C Liu, X Mei, BE Shi, M Liu 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 10 | 2022 |
| Efficient Speed Planning for Autonomous Driving in Dynamic Environment With Interaction Point Model Y Chen, R Xin, J Cheng, Q Zhang, X Mei, M Liu, L Wang IEEE Robotics and Automation Letters 7 (4), 11839-11846, 2022 | 10 | 2022 |
| Rethinking Imitation-based Planner for Autonomous Driving J Cheng, Y Chen, X Mei, B Yang, B Li, M Liu arXiv preprint arXiv:2309.10443, 2023 | 2 | 2023 |
| IR-STP: Enhancing Autonomous Driving With Interaction Reasoning in Spatio-Temporal Planning Y Chen, J Cheng, L Gan, S Wang, H Liu, X Mei, M Liu IEEE Transactions on Intelligent Transportation Systems, 2024 | | 2024 |
| Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle" Snow Lion'' Y Chen, J Cheng, S Wang, H Liu, X Mei, X Yan, M Tang, G Sun, Y Wen, ... arXiv preprint arXiv:2401.08939, 2024 | | 2024 |
| FCUS: Traffic Rule-Aware Vehicle Trajectory Forecasting Using Continuous Unlikelihood and Signal Temporal Logic Feature S Wang, R Xin, J Cheng, X Mei, M Liu 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1-6, 2023 | | 2023 |
| Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions S Wang, Y Chen, J Cheng, X Mei, Y Song, M Liu arXiv preprint arXiv:2309.15685, 2023 | | 2023 |
Ming LiuAssociate Prof, ROAS Thrust, Hong Kong University of Science and Technology (GZ)Verified email at hkust-gz.edu.cn
