| Autonomous driving strategies at intersections: Scenarios, state-of-the-art, and future outlooks L Wei, Z Li, J Gong, C Gong, J Li 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 74 | 2021 |
| Transferable driver behavior learning via distribution adaption in the lane change scenario Z Li, C Gong, C Lu, J Gong, J Lu, Y Xu, F Hu 2019 IEEE Intelligent Vehicles Symposium (IV), 193-200, 2019 | 30 | 2019 |
| A Comparative Study on Transferable Driver Behavior Learning Methods in the Lane-Changing Scenario G Cheng, Z Li, C Lu, J Gong, F Hu 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3999-4005, 2019 | 21 | 2019 |
| Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges Z Li, C Gong, Y Lin, G Li, X Wang, C Lu, M Wang, S Chen, J Gong Green Energy and Intelligent Transportation, 100103, 2023 | 20 | 2023 |
| A collaborative decision making approach for multi-unmanned combat vehicles based on the behaviour tree S Feng, J Xi, C Gong, J Gong, S Hu, Y Ma 2020 3rd International Conference on Unmanned Systems (ICUS), 395-400, 2020 | 12 | 2020 |
| Continual interactive behavior learning with traffic divergence measurement: A dynamic gradient scenario memory approach Y Lin, Z Li, C Gong, C Lu, X Wang, J Gong IEEE Transactions on Intelligent Transportation Systems, 2023 | 8 | 2023 |
| Driver-specific risk recognition in interactive driving scenarios using graph representation J Li, C Lu, P Li, Z Zhang, C Gong, J Gong IEEE Transactions on Vehicular Technology 72 (4), 4453-4465, 2022 | 8 | 2022 |
| An ensemble learning framework for vehicle trajectory prediction in interactive scenarios Z Li, Y Lin, C Gong, X Wang, Q Liu, J Gong, C Lu 2022 IEEE Intelligent Vehicles Symposium (IV), 51-57, 2022 | 8 | 2022 |
| Formation trajectory tracking control of UTVs: A coupling multi-objective iterative distributed model predictive control approach Z Zang, J Gong, Z Li, J Song, H Liu, C Gong, X Zhang, Y Li IEEE Transactions on Intelligent Vehicles 8 (3), 2222-2232, 2022 | 7 | 2022 |
| Driver behavior modelling at the urban intersection via canonical correlation analysis Z Li, C Lu, C Gong, J Gong, J Li, L Wei 2020 3rd International Conference on Unmanned Systems (ICUS), 564-569, 2020 | 7 | 2020 |
| Prediction of Pedestrian Spatial-Temporal Risk Levels for Intelligent Vehicles: A Data-driven Approach Z Zhang, C Lu, G Cui, X Meng, C Gong, J Gong IEEE Transactions on Vehicular Technology, 2024 | 5 | 2024 |
| Motion planning for off‐road autonomous driving based on human‐like cognition and weight adaptation PJ Yuchun Wang, Cheng Gong, Jianwei Gong Journal of Field Robotics, 2024 | 3 | 2024 |
| Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot C Gong, Z Li, X Zhou, J Li, J Zhou, J Gong 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 2 | 2021 |
| Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle C Gong, J Gong, C Lu, Z Liu, Z Li arXiv preprint arXiv:2109.07210, 2021 | 2 | 2021 |
| Beyond Imitation: A Life-long Policy Learning Framework for Path Tracking Control of Autonomous Driving C Gong, C Lu, Z Li, Z Liu, J Gong, X Chen IEEE Transactions on Vehicular Technology, 2024 | 1 | 2024 |
| Rethinking Trajectory Prediction in Real-World Applications: An Online Task-Free Continual Learning Perspective Y Lin, Z Li, C Gong, Q Liu, C Lu, J Gong 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 1 | 2023 |
| A Learning-Based Controller for Trajectory Tracking of Autonomous Vehicles in Complex and Uncertain Scenarios C Gong, R Qiu, Y Lin, Z Li, J Gong, C Lu 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
