| State alignment-based imitation learning F Liu, Z Ling, T Mu, H Su ICLR 2020, 2019 | 95 | 2019 |
| 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 | 92 | 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, Y Yao, ... ICLR 2023, 2023 | 68* | 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 | 42 | 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 | 35 | 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 | 31 | 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 | 22 | 2022 |
| 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, 2023 | 21* | 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 | 16 | 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 | 14 | 2023 |
| On the efficacy of 3d point cloud reinforcement learning Z Ling, Y Yao, X Li, H Su arXiv preprint arXiv:2306.06799, 2023 | 5 | 2023 |
| Reparameterized Policy Learning for Multimodal Trajectory Optimization Z Huang, L Liang, Z Ling, X Li, C Gan, H Su ICML 2023 Oral, 2023 | 2 | 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 arXiv preprint arXiv:2311.00694, 2023 | | 2023 |
| DreamFuser: Value-guided Diffusion Policy for Offline Reinforcement Learning K Luo, C XIAO, Z Huang, Z Ling, Y Fang, H Su | | 2023 |
Hao SuUCSD CSEVerified email at ucsd.edu
