| Planning-oriented Autonomous Driving HL Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi ... CVPR 2023 Best Paper, 2022 | 284* | 2022 |
| Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline P Wu, X Jia, L Chen, J Yan, H Li, Y Qiao NeurIPS 2022, 2022 | 100 | 2022 |
| Delving into the devils of bird's-eye-view perception: A review, evaluation and recipe H Li, C Sima, J Dai, W Wang, L Lu, H Wang, J Zeng, Z Li, J Yang, H Deng, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 80 | 2023 |
| Hdgt: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding X Jia, P Wu, L Chen, H Li, Y Liu, J Yan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 78 | 2023 |
| Learning Substructure Invariance for Out-of-Distribution Molecular Representations N Yang, K Zeng, Q Wu, X Jia, J Yan NeurIPS 2022, 2022 | 72 | 2022 |
| Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving X Jia, P Wu, L Chen, J Xie, C He, J Yan, H Li CVPR 2023, 21983-21994, 2023 | 45 | 2023 |
| Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views X Jia, L Sun, H Zhao, M Tomizuka, W Zhan CoRL 2021, 1434-1443, 2021 | 37 | 2021 |
| DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving X Jia, Y Gao, L Chen, J Yan, PL Liu, H Li ICCV 2023 Oral, 2023 | 26 | 2023 |
| Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach X Jia, L Chen, P Wu, J Zeng, J Yan, H Li, Y Qiao CoRL 2022, 2022 | 26 | 2022 |
| Policy pre-training for end-to-end autonomous driving via self-supervised geometric modeling P Wu, L Chen, H Li, X Jia, J Yan, Y Qiao ICLR 2023, 2023 | 23* | 2023 |
| Ide-net: Interactive driving event and pattern extraction from human data X Jia, L Sun, M Tomizuka, W Zhan IEEE Robotics and Automation Letters 6 (2), 3065-3072, 2021 | 22 | 2021 |
| LLM4Drive: A Survey of Large Language Models for Autonomous Driving Z Yang, X Jia, H Li, J Yan arXiv e-prints, arXiv: 2311.01043, 2023 | 19* | 2023 |
| Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2) Q Li, X Jia, S Wang, J Yan arXiv preprint arXiv:2402.16720, 2024 | 5 | 2024 |
| Using survival theory in early pattern detection for viral cascades X Gao, X Jia, C Yang, G Chen IEEE Transactions on Knowledge and Data Engineering (TKDE) 34 (5), 2497-2511, 2020 | 5 | 2020 |
| Sentimem: Attentive memory networks for sentiment classification in user review X Jia, Q Wu, X Gao, G Chen International Conference on Database Systems for Advanced Applications, 736-751, 2020 | 3 | 2020 |
| ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving H Lu, X Jia, Y Xie, W Liao, X Yang, J Yan arXiv preprint arXiv:2403.02877, 2024 | 1 | 2024 |
| Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving X Jia, Z Yang, Q Li, Z Zhang, J Yan arXiv preprint arXiv:2406.03877, 2024 | | 2024 |
| AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving X Jia, S Shi, Z Chen, L Jiang, W Liao, T He, J Yan arXiv preprint arXiv:2403.13331, 2024 | | 2024 |
Hongyang LiPI of OpenDriveLab, Shanghai AI Lab在 opendrivelab.com 的电子邮件经过验证
