| Improved deep reinforcement learning with expert demonstrations for urban autonomous driving H Liu, Z Huang, J Wu, C Lv 2022 IEEE Intelligent Vehicles Symposium (IV), 921-928, 2022 | 55 | 2022 |
| Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving Z Huang, H Liu, J Wu, C Lv IEEE transactions on neural networks and learning systems, 2023 | 50 | 2023 |
| Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving Z Huang, H Liu, J Wu, C Lv IEEE Transactions on Intelligent Transportation Systems, 2023 | 30 | 2023 |
| Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving Z Huang, H Liu, C Lv Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 25 | 2023 |
| Augmenting reinforcement learning with transformer-based scene representation learning for decision-making of autonomous driving H Liu, Z Huang, X Mo, C Lv IEEE Transactions on Intelligent Vehicles, 2024 | 12 | 2024 |
| An adaptive adjustment strategy for bolt posture errors based on an improved reinforcement learning algorithm W Luo, J Zhang, P Feng, H Liu, D Yu, Z Wu Applied Intelligence 51, 3405-3420, 2021 | 9 | 2021 |
| Multi-modal hierarchical transformer for occupancy flow field prediction in autonomous driving H Liu, Z Huang, C Lv 2023 IEEE International Conference on Robotics and Automation (ICRA), 1449-1455, 2023 | 8* | 2023 |
| Learning interaction-aware motion prediction model for decision-making in autonomous driving Z Huang, H Liu, J Wu, W Huang, C Lv 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 7 | 2023 |
| Map-adaptive multimodal trajectory prediction using hierarchical graph neural networks X Mo, Y Xing, H Liu, C Lv IEEE Robotics and Automation Letters, 2023 | 6 | 2023 |
| Quantitative identification of driver distraction: A weakly supervised contrastive learning approach H Yang, H Liu, Z Hu, AT Nguyen, TM Guerra, C Lv IEEE Transactions on Intelligent Transportation Systems, 2023 | 4 | 2023 |
| Occupancy prediction-guided neural planner for autonomous driving H Liu, Z Huang, C Lv 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 2 | 2023 |
| PrNet: A neural network for correcting pseudoranges to improve positioning with android raw GNSS measurements X Weng, KV Ling, H Liu arXiv preprint arXiv:2309.12204, 2023 | 1 | 2023 |
| Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome A Rasouli, S Alizadeh, I Kotseruba, Y Ma, H Liang, Y Tian, Z Huang, H Liu, ... NeurIPS 2022 Competition Track, 73-84, 2023 | 1 | 2023 |
| Dynamic Edge Caching via Online Meta-RL Y Mao, S Zhou, H Liu, Z Wang, W Zhu 2023 International Joint Conference on Neural Networks (IJCNN), 01-10, 2023 | 1 | 2023 |
| Experiment design: Intelligent traffic management system H Yue, H Mu, H Liu, Y Cai 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA …, 2020 | 1 | 2020 |
| Gameformer planner: A learning-enabled interactive prediction and planning framework for autonomous vehicles Z Huang, H Liu, X Mo, C Lyu URL https://opendrivelab. com/e2ead/AD23Challenge/Track_4_AID. pdf, 0 | 1 | |
| Hybrid-Prediction Integrated Planning for Autonomous Driving H Liu, Z Huang, W Huang, H Yang, X Mo, C Lv arXiv preprint arXiv:2402.02426, 2024 | | 2024 |
| Towards End-to-End GPS Localization with Neural Pseudorange Correction X Weng, KV Ling, H Liu, K Cao arXiv preprint arXiv:2401.10685, 2024 | | 2024 |
| Map-Adaptive Multimodal Trajectory Prediction via Intention-Aware Unimodal Trajectory Predictors X Mo, H Liu, Z Huang, X Li, C Lv IEEE Transactions on Intelligent Transportation Systems, 2023 | | 2023 |
| Collective Intelligent Decision Making Method Based on Rationality Negotiation L Wentao, F Pingfa, Z Jianfu, Y Dingwen, W Zhijun, L Haochen Journal of Physics: Conference Series 1487 (1), 012034, 2020 | | 2020 |
Chen Lv (吕辰)Associate Professor, Nanyang Technological UniversityVerified email at ntu.edu.sg
