| Vat-mart: Learning visual action trajectory proposals for manipulating 3d articulated objects R Wu, Y Zhao, K Mo, Z Guo, Y Wang, T Wu, Q Fan, X Chen, L Guibas, ... arXiv preprint arXiv:2106.14440, 2021 | 58 | 2021 |
| Adaafford: Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions Y Wang, R Wu, K Mo, J Ke, Q Fan, LJ Guibas, H Dong European conference on computer vision, 90-107, 2022 | 35 | 2022 |
| Robogen: Towards unleashing infinite data for automated robot learning via generative simulation Y Wang, Z Xian, F Chen, TH Wang, Y Wang, K Fragkiadaki, Z Erickson, ... arXiv preprint arXiv:2311.01455, 2023 | 10 | 2023 |
| Towards a foundation model for generalist robots: Diverse skill learning at scale via automated task and scene generation Z Xian, T Gervet, Z Xu, YL Qiao, TH Wang arXiv preprint arXiv:2305.10455, 2023 | 3 | 2023 |
| Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise S Ling, Y Wang, S Wu, Y Zhuang, T Xu, Y Li, C Liu, H Dong arXiv preprint arXiv:2402.18699, 2024 | 2 | 2024 |
| MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World Y Hong, Z Zheng, P Chen, Y Wang, J Li, C Gan arXiv preprint arXiv:2401.08577, 2024 | 1 | 2024 |
| Thin-Shell Object Manipulations With Differentiable Physics Simulations Y Wang, J Zheng, Z Chen, Z Xian, G Zhang, C Liu, C Gan arXiv preprint arXiv:2404.00451, 2024 | | 2024 |
| Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators J Chen, Y Wang, X Qu, S Zheng, Y Yang, H Dong, J Fu arXiv preprint arXiv:2308.15116, 2023 | | 2023 |
