| Unpaired Image-to-Image Translation using Adversarial Consistency Loss Y Zhao, R Wu, H Dong European Conference on Computer Vision, 800-815, 2020 | 181 | 2020 |
| 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 (ICLR) 2022, 2021 | 121 | 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, L Guibas, H Dong ECCV 2022, 2021 | 80 | 2021 |
| Where2explore: Few-shot affordance learning for unseen novel categories of articulated objects C Ning, R Wu, H Lu, K Mo, H Dong Advances in Neural Information Processing Systems 36, 4585-4596, 2023 | 54 | 2023 |
| RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation H Jiang, B Huang, R Wu, Z Li, S Garg, H Nayyeri, S Wang, Y Li CoRL 2024, 2024 | 48 | 2024 |
| DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Object Manipulation Y Zhao*, R Wu*, Z Chen, Y Zhang, Q Fan, K Mo, H Dong International Conference on Learning Representations (ICLR) 2023, 2022 | 47* | 2022 |
| Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation R Wu*, C Ning*, H Dong ICCV 2023, 2023 | 44 | 2023 |
| Tdapnet: Prototype network with recurrent top-down attention for robust object classification under partial occlusion M Xiao, A Kortylewski, R Wu, S Qiao, W Shen, A Yuille European Conference on Computer Vision Workshops, 447-463, 2019 | 39* | 2019 |
| Learning environment-aware affordance for 3d articulated object manipulation under occlusions R Wu, K Cheng, Y Zhao, C Ning, G Zhan, H Dong Advances in Neural Information Processing Systems 36, 60966-60983, 2023 | 34 | 2023 |
| UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence R Wu, H Lu, Y Wang, Y Wang, H Dong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 33 | 2024 |
| Leveraging SE (3) Equivariance for Learning 3D Geometric Shape Assembly R Wu, C Tie, Y Du, Y Zhao, H Dong ICCV 2023, 2023 | 33 | 2023 |
| RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning H Geng, F Wang, S Wei, Y Li, B Wang, B An, CT Cheng, H Lou, P Li, ... RSS 2025, 2025 | 24 | 2025 |
| GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation H Lu, R Wu, Y Li, S Li, Z Zhu, C Ning, Y Shen, L Luo, Y Chen, H Dong NeurIPS 2024; Spotlight Presentation on ICRA 2024 Workshop on Deformable …, 2024 | 18* | 2024 |
| Naturalvlm: Leveraging fine-grained natural language for affordance-guided visual manipulation R Xu, Y Shen, X Li, R Wu, H Dong RA-L 2024, 2024 | 15 | 2024 |
| UniDoorManip: Learning Universal Door Manipulation Policy Over Large-scale and Diverse Door Manipulation Environments Y Li*, X Zhang*, R Wu*, Z Zhang, Y Geng, H Dong, Z He arXiv preprint arXiv:2403.02604, 2024 | 15 | 2024 |
| AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning Y Wang, X Zhang, R Wu, Y Li, Y Shen, M Wu, Z He, Y Wang, H Dong ICLR 2025, 2025 | 14 | 2025 |
| ET-SEED: Efficient Trajectory-Level SE (3) Equivariant Diffusion Policy C Tie, Y Chen, R Wu, B Dong, Z Li, C Gao, H Dong ICLR 2025, 2024 | 14 | 2024 |
| Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models C Tie, S Sun, J Zhu, Y Liu, J Guo, Y Hu, H Chen, J Chen, R Wu, L Shao RSS 2025, 2025 | 13 | 2025 |
| PreAfford: Universal Affordance-Based Pre-Grasping for Diverse Objects and Environments K Ding, B Chen, R Wu, Y Li, Z Zhang, H Gao, S Li, Y Zhu, G Zhou, H Dong, ... IROS 2024, 2024 | 13* | 2024 |
| Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters Y Li*, R Wu*, H Lu, C Ning, Y Shen, G Zhan, H Dong RSS 2024, 2024 | 8 | 2024 |
Hao DongAssociate Professor at Peking UniversityVerified email at pku.edu.cn
