| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... International Conference on Robotics and Automation (ICRA) 2024, 2023 | 173* | 2023 |
| ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations T Mu*, Z Ling*, F Xiang*, DC Yang*, X Li*, S Tao, Z Huang, Z Jia, H Su Conference on Neural Information Processing Systems (NeurIPS) 2021, 2021 | 100 | 2021 |
| ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills J Gu^, F Xiang^, X Li*, Z Ling*, X Liu*, T Mu*, Y Tang*, S Tao*, X Wei*, ... International Conference on Learning Representations (ICLR) 2023, 2023 | 85* | 2023 |
| Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control Z Liu*, X Li*, B Kang, T Darrell International Conference on Learning Representations (ICLR) 2021, 2019 | 77* | 2019 |
| Deductive Verification of Chain-of-Thought Reasoning Z Ling*, Y Fang*, X Li, Z Huang, M Lee, R Memisevic, H Su Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023 | 58 | 2023 |
| OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding M Liu*, R Shi*, K Kuang*, Y Zhu, X Li, S Han, H Cai, F Porikli, H Su Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023 | 54 | 2023 |
| Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds X Li*, M Liu*, Z Ling*, Y Li, H Su 6th Annual Conference on Robot Learning (CoRL 2022), 2022 | 23 | 2022 |
| Distilling Large Vision-Language Model with Out-of-Distribution Generalizability X Li*, Y Fang*, M Liu, Z Ling, Z Tu, H Su International Conference on Computer Vision (ICCV) 2023, 2023 | 19 | 2023 |
| Improving Policy Optimization with Generalist-Specialist Learning Z Jia, X Li, Z Ling, S Liu, Y Wu, H Su International Conference on Machine Learning (ICML) 2022, 2022 | 18 | 2022 |
| On the Efficacy of 3D Point Cloud Reinforcement Learning Z Ling*, Y Yao*, X Li, H Su arXiv preprint arXiv:2306.06799, 2023 | 6 | 2023 |
| Discovering Non-monotonic Autoregressive Orderings with Variational Inference X Li*, B Trabucco*, DH Park, M Luo, S Shen, T Darrell, Y Gao International Conference on Learning Representations (ICLR) 2021, 2021 | 6 | 2021 |
| Reparameterized Policy Learning for Multimodal Trajectory Optimization Z Huang, L Liang, Z Ling, X Li, C Gan, H Su International Conference on Machine Learning (ICML) 2023, 2023 | 5* | 2023 |
| PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation Y Zhou*, J Gu*, X Li, M Liu, Y Fang, H Su arXiv preprint arXiv:2312.03015, 2023 | 3 | 2023 |
| Evaluating Real-World Robot Manipulation Policies in Simulation X Li*, K Hsu*, J Gu*, K Pertsch, O Mees, HR Walke, C Fu, I Lunawat, ... arXiv preprint arXiv:2405.05941, 2024 | 1 | 2024 |
| Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving Z Ling, Y Fang, X Li, T Mu, M Lee, R Pourreza, R Memisevic, H Su | 1 | 2023 |
| Live Fitness Coaching as a Testbed for Situated Interaction S Panchal, A Bhattacharyya, G Berger, A Mercier, C Bohm, F Dietrichkeit, ... arXiv preprint arXiv:2407.08101, 2024 | | 2024 |
| Situated Real-time Interaction with a Virtually Embodied Avatar S Panchal, G Berger, A Mercier, C Böhm, F Dietrichkeit, X Li, R Pourreza, ... Embodied AI Workshop at CVPR 2023, 2023 | | 2023 |
Hao SuUCSD CSE在 ucsd.edu 的电子邮件经过验证
