| Tightly coupled 3d lidar inertial odometry and mapping H Ye, Y Chen, M Liu 2019 international conference on robotics and automation (ICRA), 3144-3150, 2019 | 705 | 2019 |
| Robot navigation in crowds by graph convolutional networks with attention learned from human gaze Y Chen, C Liu, BE Shi, M Liu IEEE Robotics and Automation Letters 5 (2), 2754-2761, 2020 | 176 | 2020 |
| Investigation of In Situ SiN as Gate Dielectric and Surface Passivation for GaN MISHEMTs H Jiang, C Liu, Y Chen, X Lu, CW Tang, KM Lau IEEE Transactions on Electron Devices 64 (3), 832-839, 2017 | 137 | 2017 |
| The role of the hercules autonomous vehicle during the covid-19 pandemic: An autonomous logistic vehicle for contactless goods transportation T Liu, Q hai Liao, L Gan, F Ma, J Cheng, X Xie, Z Wang, Y Chen, Y Zhu, ... IEEE Robotics & Automation Magazine 28 (1), 48-58, 2021 | 80* | 2021 |
| Vision-based trajectory planning via imitation learning for autonomous vehicles P Cai, Y Sun, Y Chen, M Liu 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2736-2742, 2019 | 65 | 2019 |
| Avgcn: Trajectory prediction using graph convolutional networks guided by human attention C Liu, Y Chen, M Liu, BE Shi 2021 IEEE International Conference on Robotics and Automation (ICRA), 14234 …, 2021 | 44 | 2021 |
| A gaze model improves autonomous driving C Liu, Y Chen, L Tai, H Ye, M Liu, BE Shi Proceedings of the 11th ACM symposium on eye tracking research …, 2019 | 39 | 2019 |
| Visual-based autonomous driving deployment from a stochastic and uncertainty-aware perspective L Tai, P Yun, Y Chen, C Liu, H Ye, M Liu 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 32 | 2019 |
| Gaze training by modulated dropout improves imitation learning Y Chen, C Liu, L Tai, M Liu, BE Shi 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 31 | 2019 |
| Using eye gaze to enhance generalization of imitation networks to unseen environments C Liu, Y Chen, M Liu, BE Shi IEEE Transactions on Neural Networks and Learning Systems 32 (5), 2066-2074, 2020 | 21 | 2020 |
| Hgcn-gjs: Hierarchical graph convolutional network with groupwise joint sampling for trajectory prediction Y Chen, C Liu, X Mei, BE Shi, M Liu IROS 2022, 2020 | 19 | 2020 |
| Comogcn: Coherent motion aware trajectory prediction with graph representation Y Chen, C Liu, B Shi, M Liu British Machine Vision Conference (BMVC) 2020, 2020 | 15 | 2020 |
| Rrt* combined with gvo for real-time nonholonomic robot navigation in dynamic environment Y Chen, M Liu, L Wang 2018 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2018 | 13 | 2018 |
| Hierarchical trajectory planning for autonomous driving in low-speed driving scenarios based on RRT and optimization Y Chen, H Ye, M Liu | 7 | 2019 |
| Improving vehicle trajectory prediction with online learning C Hao, Y Chen, S Cheng, H Zhang 2023 IEEE Intelligent Vehicles Symposium (IV), 1-7, 2023 | 5 | 2023 |
| Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments C Liu, Y Chen, L Tai, M Liu, B Shi Thirty-sixth International Conference on Machine Learning (ICML) Workshop on …, 2019 | 2 | 2019 |
| PlanVWM: Autonomous Vehicle Planning Method Based on Vectorized World Model Modeling C Zhong, Y Chen, J Chen, Z Gu, S Cheng, Y Wang, H Zhang, X Wang 2025 IEEE Intelligent Vehicles Symposium (IV), 2281-2287, 2025 | | 2025 |
Ming LiuROAS Thrust, Hong Kong University of Science and Technology (GZ)Verified email at hkust-gz.edu.cn
