| Associative embedding: End-to-end learning for joint detection and grouping A Newell, Z Huang, J Deng Advances in Neural Information Processing Systems 30, 2016 | 973 | 2016 |
| PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics Z Huang, Y Hu, T Du, S Zhou, H Su, JB Tenenbaum, C Gan International Conference on Learning Representations 2021, 2021 | 79 | 2021 |
| 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 arXiv preprint arXiv:2107.14483, 2021 | 69 | 2021 |
| Mapping state space using landmarks for universal goal reaching Z Huang, F Liu, H Su NeurIPS 2019, 2019 | 49 | 2019 |
| Towards scale-invariant graph-related problem solving by iterative homogeneous gnns H Tang, Z Huang, J Gu, BL Lu, H Su Advances in Neural Information Processing Systems 33, 15811-15822, 2020 | 45 | 2020 |
| Learning multi-object dynamics with compositional neural radiance fields D Driess, Z Huang, Y Li, R Tedrake, M Toussaint Conference on Robot Learning, 1755-1768, 2023 | 44 | 2023 |
| Learning to group: A bottom-up framework for 3d part discovery in unseen categories T Luo, K Mo, Z Huang, J Xu, S Hu, L Wang, H Su International Conference on Learning Representations 2020, 2020 | 40 | 2020 |
| Object-oriented dynamics predictor G Zhu, Z Huang, C Zhang NeurIPS 2018, 2018 | 37 | 2018 |
| Diffskill: Skill abstraction from differentiable physics for deformable object manipulations with tools X Lin, Z Huang, Y Li, JB Tenenbaum, D Held, C Gan arXiv preprint arXiv:2203.17275, 2022 | 32 | 2022 |
| Robocraft: Learning to see, simulate, and shape elasto-plastic objects with graph networks H Shi, H Xu, Z Huang, Y Li, J Wu arXiv preprint arXiv:2205.02909, 2022 | 27 | 2022 |
| Coarse-to-fine face alignment with multi-scale local patch regression Z Huang, E Zhou, Z Cao arXiv preprint arXiv:1511.04901, 2015 | 22 | 2015 |
| Deductive Verification of Chain-of-Thought Reasoning Z Ling, Y Fang, X Li, Z Huang, M Lee, R Memisevic, H Su arXiv preprint arXiv:2306.03872, 2023 | 20 | 2023 |
| Contact points discovery for soft-body manipulations with differentiable physics S Li, Z Huang, T Du, H Su, JB Tenenbaum, C Gan arXiv preprint arXiv:2205.02835, 2022 | 16 | 2022 |
| Planning with spatial-temporal abstraction from point clouds for deformable object manipulation X Lin, C Qi, Y Zhang, Z Huang, K Fragkiadaki, Y Li, C Gan, D Held Conference on Robot Learning (CoRL), 2022 | 16 | 2022 |
| 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, ... arXiv preprint arXiv:2302.04659, 2023 | 15 | 2023 |
| Close the visual domain gap by physics-grounded active stereovision depth sensor simulation X Zhang, R Chen, F Xiang, Y Qin, J Gu, Z Ling, M Liu, P Zeng, S Han, ... arXiv preprint arXiv:2201.11924 4, 2022 | 8 | 2022 |
| Roboninja: Learning an adaptive cutting policy for multi-material objects Z Xu, Z Xian, X Lin, C Chi, Z Huang, C Gan, S Song arXiv preprint arXiv:2302.11553, 2023 | 7 | 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, 2023 | 5 | 2023 |
| MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field K Yang, X Zhang, Z Huang, X Chen, Z Xu, H Su arXiv preprint arXiv:2303.05703, 2023 | 3 | 2023 |
| Maniskill: Learning-from-demonstrations benchmark for generalizable manipulation skills T Mu, Z Ling, F Xiang, D Yang, X Li, S Tao, Z Huang, Z Jia, H Su CoRR, abs/2107.14483, 2021b. URL https://arxiv. org/abs/2107 14483, 2021 | 3 | 2021 |
