| Embodiedgpt: Vision-language pre-training via embodied chain of thought Y Mu, Q Zhang, M Hu, W Wang, M Ding, J Jin, B Wang, J Dai, Y Qiao, ... Advances in Neural Information Processing Systems 36, 2024 | 95 | 2024 |
| Languagempc: Large language models as decision makers for autonomous driving H Sha, Y Mu, Y Jiang, L Chen, C Xu, P Luo, SE Li, M Tomizuka, W Zhan, ... arXiv preprint arXiv:2310.03026, 2023 | 61 | 2023 |
| Adaptdiffuser: Diffusion models as adaptive self-evolving planners Z Liang, Y Mu, M Ding, F Ni, M Tomizuka, P Luo arXiv preprint arXiv:2302.01877, 2023 | 49 | 2023 |
| Maskplace: Fast chip placement via reinforced visual representation learning Y Lai, Y Mu, P Luo Advances in Neural Information Processing Systems 35, 24019-24030, 2022 | 27 | 2022 |
| Scale-equivalent distillation for semi-supervised object detection Q Guo, Y Mu, J Chen, T Wang, Y Yu, P Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 26 | 2022 |
| IGRNet: a deep learning model for non-invasive, real-time diagnosis of prediabetes through electrocardiograms L Wang, Y Mu, J Zhao, X Wang, H Che Sensors 20 (9), 2556, 2020 | 25 | 2020 |
| Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning Z Yuan, G Ma, Y Mu, B Xia, B Yuan, X Wang, P Luo, H Xu arXiv preprint arXiv:2202.09982, 2022 | 19 | 2022 |
| Separated proportional-integral lagrangian for chance constrained reinforcement learning B Peng, Y Mu, J Duan, Y Guan, SE Li, J Chen 2021 IEEE Intelligent Vehicles Symposium (IV), 193-199, 2021 | 19 | 2021 |
| Metadiffuser: Diffusion model as conditional planner for offline meta-rl F Ni, J Hao, Y Mu, Y Yuan, Y Zheng, B Wang, Z Liang International Conference on Machine Learning, 26087-26105, 2023 | 16 | 2023 |
| CO^ 3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving R Chen, Y Mu, R Xu, W Shao, C Jiang, H Xu, Z Li, P Luo arXiv preprint arXiv:2206.04028, 2022 | 16 | 2022 |
| Flow-based recurrent belief state learning for pomdps X Chen, YM Mu, P Luo, S Li, J Chen International Conference on Machine Learning, 3444-3468, 2022 | 15 | 2022 |
| Enhance sample efficiency and robustness of end-to-end urban autonomous driving via semantic masked world model Z Gao, Y Mu, C Chen, J Duan, P Luo, Y Lu, SE Li IEEE Transactions on Intelligent Transportation Systems, 2024 | 14 | 2024 |
| Tree-planner: Efficient close-loop task planning with large language models M Hu, Y Mu, X Yu, M Ding, S Wu, W Shao, Q Chen, B Wang, Y Qiao, ... arXiv preprint arXiv:2310.08582, 2023 | 14 | 2023 |
| Model-based chance-constrained reinforcement learning via separated proportional-integral lagrangian B Peng, J Duan, J Chen, SE Li, G Xie, C Zhang, Y Guan, Y Mu, E Sun IEEE Transactions on Neural Networks and Learning Systems, 2022 | 14 | 2022 |
| Mixed reinforcement learning for efficient policy optimization in stochastic environments Y Mu, B Peng, Z Gu, SE Li, C Liu, B Nie, J Zheng, B Zhang 2020 20th International Conference on Control, Automation and Systems (ICCAS …, 2020 | 13 | 2020 |
| Ctrlformer: Learning transferable state representation for visual control via transformer Y Mu, S Chen, M Ding, J Chen, R Chen, P Luo arXiv preprint arXiv:2206.08883, 2022 | 12 | 2022 |
| Euclid: Towards efficient unsupervised reinforcement learning with multi-choice dynamics model Y Yuan, J Hao, F Ni, Y Mu, Y Zheng, Y Hu, J Liu, Y Chen, C Fan arXiv preprint arXiv:2210.00498, 2022 | 11 | 2022 |
| Model-based actor-critic with chance constraint for stochastic system B Peng, Y Mu, Y Guan, SE Li, Y Yin, J Chen 2021 60th IEEE Conference on Decision and Control (CDC), 4694-4700, 2021 | 10 | 2021 |
| Model-based reinforcement learning via imagination with derived memory Y Mu, Y Zhuang, B Wang, G Zhu, W Liu, J Chen, P Luo, S Li, C Zhang, ... Advances in Neural Information Processing Systems 34, 9493-9505, 2021 | 7 | 2021 |
| EC2: Emergent communication for embodied control Y Mu, S Yao, M Ding, P Luo, C Gan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
Ping Luo (羅平)Associate Professor, The University of Hong Kong在 hku.hk 的电子邮件经过验证
