| 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 | 136 | 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 | 132* | 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 | 117 | 2023 |
| State alignment-based imitation learning F Liu, Z Ling, T Mu, H Su ICLR 2020, 2019 | 106* | 2019 |
| 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 | 71 | 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 | 65 | 2023 |
| Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, et al. Maniskill2: A unified benchmark for generalizable manipulation skills J Gu, F Xiang, X Li, Z Ling, X Liu arXiv preprint arXiv:2302.04659 2 (3), 2023 | 34 | 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 | 34 | 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 39 (3), 2429-2447, 2023 | 32 | 2023 |
| 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 | 31 | 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 | 25 | 2022 |
| On the efficacy of 3d point cloud reinforcement learning Z Ling, Y Yao, X Li, H Su arXiv preprint arXiv:2306.06799, 2023 | 13 | 2023 |
| Reparameterized Policy Learning for Multimodal Trajectory Optimization Z Huang, L Liang, Z Ling, X Li, C Gan, H Su ICML 2023 Oral, 2023 | 11* | 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 | 2 | 2023 |
| MIR-Bench: Benchmarking LLM's Long-Context Intelligence via Many-Shot In-Context Inductive Reasoning K Yan, Z Ling, K Liu, Y Yang, TH Fan, L Shen, Z Du, J Chen arXiv preprint arXiv:2502.09933, 2025 | 1 | 2025 |
| Actplan-1k: Benchmarking the procedural planning ability of visual language models in household activities Y Su, Z Ling, H Shi, J Cheng, Y Yim, Y Song arXiv preprint arXiv:2410.03907, 2024 | 1 | 2024 |
| LongReason: A Synthetic Long-Context Reasoning Benchmark via Context Expansion Z Ling, K Liu, K Yan, Y Yang, W Lin, TH Fan, L Shen, Z Du, J Chen arXiv preprint arXiv:2501.15089, 2025 | | 2025 |
| Towards Enhanced Reasoning in Large Language Models Z Ling University of California, San Diego, 2024 | | 2024 |
| A New Framework for Trustworthy AI Deductive Reasoning Z Ling | | |
| DreamFuser: Value-guided Diffusion Policy for Offline Reinforcement Learning K Luo, C XIAO, Z Huang, Z Ling, Y Fang, H Su | | |
Hao SuUCSD CSEПотвърден имейл адрес: ucsd.edu