| Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning Q Li, Z Peng, L Feng, Q Zhang, Z Xue, B Zhou IEEE transactions on pattern analysis and machine intelligence 45 (3), 3461-3475, 2022 | 136 | 2022 |
| Trafficgen: Learning to generate diverse and realistic traffic scenarios L Feng, Q Li, Z Peng, S Tan, B Zhou 2023 IEEE International Conference on Robotics and Automation (ICRA), 3567-3575, 2023 | 33 | 2023 |
| ScenarioNet: Open-source platform for large-scale traffic scenario simulation and modeling Q Li, ZM Peng, L Feng, Z Liu, C Duan, W Mo, B Zhou Advances in neural information processing systems 36, 2024 | 13 | 2024 |
| Human-ai shared control via policy dissection Q Li, Z Peng, H Wu, L Feng, B Zhou Advances in Neural Information Processing Systems 35, 8853-8867, 2022 | 6 | 2022 |
| SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers S Christen, L Feng, W Yang, YW Chao, O Hilliges, J Song arXiv preprint arXiv:2311.05599, 2023 | 2 | 2023 |
| UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction L Feng, M Bahari, KMB Amor, É Zablocki, M Cord, A Alahi arXiv preprint arXiv:2403.15098, 2024 | | 2024 |
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