Associative embedding: End-to-end learning for joint detection and grouping A Newell, Z Huang, J Deng Advances in neural information processing systems 30, 2017 | 1114 | 2017 |
Plasticinelab: A soft-body manipulation benchmark with differentiable physics Z Huang, Y Hu, T Du, S Zhou, H Su, JB Tenenbaum, C Gan arXiv preprint arXiv:2104.03311, 2021 | 109 | 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 | 108 | 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, ... arXiv preprint arXiv:2302.04659, 2023 | 88 | 2023 |
Deductive verification of chain-of-thought reasoning Z Ling, Y Fang, X Li, Z Huang, M Lee, R Memisevic, H Su Advances in Neural Information Processing Systems 36, 2024 | 78 | 2024 |
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 | 75 | 2023 |
Mapping state space using landmarks for universal goal reaching Z Huang, F Liu, H Su Advances in Neural Information Processing Systems 32, 2019 | 66 | 2019 |
RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks H Shi, H Xu, Z Huang, Y Li, J Wu The International Journal of Robotics Research 43 (4), 533-549, 2024 | 59 | 2024 |
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 | 56 | 2020 |
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 | 52 | 2022 |
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 arXiv preprint arXiv:2002.06478, 2020 | 44 | 2020 |
Object-oriented dynamics predictor G Zhu, Z Huang, C Zhang Advances in Neural Information Processing Systems 31, 2018 | 42 | 2018 |
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 arXiv preprint arXiv:2210.15751, 2022 | 33 | 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 | 29 | 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 | 24 | 2022 |
Coarse-to-fine face alignment with multi-scale local patch regression Z Huang, E Zhou, Z Cao arXiv preprint arXiv:1511.04901, 2015 | 24 | 2015 |
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 | 21 | 2023 |
Dexdeform: Dexterous deformable object manipulation with human demonstrations and differentiable physics S Li, Z Huang, T Chen, T Du, H Su, JB Tenenbaum, C Gan arXiv preprint arXiv:2304.03223, 2023 | 15 | 2023 |
Chain-of-thought predictive control Z Jia, F Liu, V Thumuluri, L Chen, Z Huang, H Su arXiv preprint arXiv:2304.00776, 2023 | 13 | 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 | 8 | 2023 |