Maniskill: Generalizable manipulation skill benchmark with large-scale demonstrations T Mu, Z Ling, F Xiang, D Yang, X Li, S Tao, Z Huang, Z Jia, H Su NeurIPS 2021(Dataset Track), 2021 | 101 | 2021 |
State alignment-based imitation learning F Liu, Z Ling, T Mu, H Su ICLR 2020, 2019 | 101 | 2019 |
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, Y Yao, ... ICLR 2023, 2023 | 90* | 2023 |
Deductive Verification of Chain-of-Thought Reasoning Z Ling, Y Fang, X Li, Z Huang, M Lee, R Memisevic, H Su NeurIPS 2023, 2023 | 64 | 2023 |
Approximate convex decomposition for 3d meshes with collision-aware concavity and tree search X Wei, M Liu, Z Ling, H Su ACM Transactions on Graphics (TOG) 41 (4), 1-18, 2022 | 50 | 2022 |
Partslip: Low-shot part segmentation for 3d point clouds via pretrained image-language models M Liu, Y Zhu, H Cai, S Han, Z Ling, F Porikli, H Su Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 39 | 2023 |
Close the optical sensing domain gap by physics-grounded active stereo sensor simulation X Zhang, R Chen, A Li, F Xiang, Y Qin, J Gu, Z Ling, M Liu, P Zeng, S Han, ... IEEE Transactions on Robotics 39 (3), 2429-2447, 2023 | 26 | 2023 |
Frame mining: a free lunch for learning robotic manipulation from 3d point clouds M Liu, X Li, Z Ling, Y Li, H Su 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 ICCV 2023, 2023 | 20 | 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, 10104-10119, 2022 | 19 | 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 |
Reparameterized Policy Learning for Multimodal Trajectory Optimization Z Huang, L Liang, Z Ling, X Li, C Gan, H Su ICML 2023 Oral, 2023 | 5* | 2023 |
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 |
DreamFuser: Value-guided Diffusion Policy for Offline Reinforcement Learning K Luo, C XIAO, Z Huang, Z Ling, Y Fang, H Su | | |