| 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, ... International Conference on Learning Representations., 2021 | 96 | 2021 |
| 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, ... Forty-first International Conference on Machine Learning., 2023 | 63 | 2023 |
| 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 | 61 | 2022 |
| Multiply: A multisensory object-centric embodied large language model in 3d world Y Hong, Z Zheng, P Chen, Y Wang, J Li, C Gan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 19 | 2024 |
| Articulated object manipulation with coarse-to-fine affordance for mitigating the effect of point cloud noise S Ling, Y Wang, R Wu, S Wu, Y Zhuang, T Xu, Y Li, C Liu, H Dong 2024 IEEE International Conference on Robotics and Automation (ICRA), 10895 …, 2024 | 12 | 2024 |
| 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 | 7 | 2023 |
| Thin-Shell Object Manipulations With Differentiable Physics Simulations Y Wang, J Zheng, Z Chen, Z Xian, G Zhang, C Liu, C Gan The Twelfth International Conference on Learning Representations., 2024 | 5 | 2024 |
| UBSoft: A Simulation Platform for Robotic Skill Learning in Unbounded Soft Environments C Lin, J Fan, Y Wang, Z Yang, Z Chen, L Fang, TH Wang, Z Xian, C Gan 8th Annual Conference on Robot Learning., 2024 | | 2024 |
| Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting Y Wang, X Qiu, J Liu, Z Chen, J Cai, Y Wang, TH Wang, Z Xian, C Gan The Thirty-eighth Annual Conference on Neural Information Processing Systems., 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 |
