| Safety-enhanced autonomous driving using interpretable sensor fusion transformer H Shao, L Wang, R Chen, H Li, Y Liu 6th Annual Conference on Robot Learning, 2022 | 383 | 2022 |
| Lmdrive: Closed-loop end-to-end driving with large language models H Shao, Y Hu, L Wang, G Song, SL Waslander, Y Liu, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 328 | 2024 |
| Visual cot: Advancing multi-modal language models with a comprehensive dataset and benchmark for chain-of-thought reasoning H Shao, S Qian, H Xiao, G Song, Z Zong, L Wang, Y Liu, H Li Advances in Neural Information Processing Systems, Spotlight 37, 8612-8642, 2024 | 308* | 2024 |
| Sphinx-x: Scaling data and parameters for a family of multi-modal large language models D Liu, R Zhang, L Qiu, S Huang, W Lin, S Zhao, S Geng, Z Lin, P Jin, ... Proceedings of the 41st International Conference on Machine Learning, 2024., 2024 | 168 | 2024 |
| Reasonnet: End-to-end driving with temporal and global reasoning H Shao, L Wang, R Chen, SL Waslander, H Li, Y Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 150 | 2023 |
| Temporal interlacing network H Shao, S Qian, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11966 …, 2020 | 123 | 2020 |
| Mova: Adapting mixture of vision experts to multimodal context Z Zong, B Ma, D Shen, G Song, H Shao, D Jiang, H Li, Y Liu Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024 | 96 | 2024 |
| Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors L Wang, J Liu, H Shao, W Wang, R Chen, Y Liu, SL Waslander Robotics: Science and Systems (RSS 2023), 2023 | 62 | 2023 |
| SmartRefine: An Scenario-Adaptive Refinement Framework for Efficient Motion Prediction Y Zhou*, H Shao*, L Wang, SL Waslander, H Li, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 47 | 2024 |
| Blending anti-aliasing into vision transformer S Qian, H Shao, Y Zhu, M Li, J Jia Advances in Neural Information Processing Systems 34, 5416-5429, 2021 | 26 | 2021 |
| Easyref: Omni-generalized group image reference for diffusion models via multimodal llm Z Zong, D Jiang, B Ma, G Song, H Shao, D Shen, Y Liu, H Li Forty-second International Conference on Machine Learning, 2024 | 14 | 2024 |
| DI-drive: OpenDILab decision intelligence platform for autonomous driving simulation DI Contributors | 10 | 2021 |
| SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction Y Zhou*, H Shao*, L Wang, SL Waslander, H Li, Y Liu ICLR 2024, 2024 | 8 | 2024 |
| 1st place solution for ava-kinetics crossover in acitivitynet challenge 2020 S Chen, J Pan, G Song, M Zhang, H Shao, Z Lin, J Shao, H Li, Y Liu arXiv preprint arXiv:2006.09116, 2020 | 6 | 2020 |
| VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping H Shao, S Wang, Y Zhou, G Song, D He, S Qin, Z Zong, B Ma, Y Liu, H Li Neurips 2025, 2024 | 5 | 2024 |
| Deployable and Generalizable Motion Prediction: Taxonomy, Open Challenges and Future Directions L Wang, MA Lavoie, S Papais, B Nisar, Y Chen, W Ding, B Ivanovic, ... arXiv preprint arXiv:2505.09074, 2025 | 2 | 2025 |
| Top-1 solution of multi-moments in time challenge 2019 M Zhang, H Shao, G Song, Y Liu, J Yan arXiv preprint arXiv:2003.05837, 2020 | 2 | 2020 |
| High-Fidelity Diffusion Face Swapping with ID-Constrained Facial Conditioning D He, X Wang, S Wang, G Song, B Ma, H Shao, Y Liu, H Li arXiv preprint arXiv:2503.22179, 2025 | 1 | 2025 |
| VividFace: A Robost and High-Fidelity Video Face Swapping Framework H Shao, S Wang, Y Zhou, G Song, D He, Z Zong, S Qin, Y Liu, H Li The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025 | 1 | 2025 |
| Self-supervised temporal learning H Shao, Y Liu, H Li | 1 | 2021 |
Yu Liuvivix.aiVerified email at vivix.ai
