Mingdong Wu

According to our database, Mingdong Wu authored at least 26 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training.

Mingdong Wu, Lehong Wu, Yizhuo Wu, Weiyao Huang, Hongwei Fan, Zheyuan Hu, Haoran Geng, Jinzhou Li, Jiahe Ying, Long Yang, Yuanpei Chen, Hao Dong

CoRR, July, 2025

Adaptive Visuo-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation.

Jinzhou Li, Tianhao Wu, Jiyao Zhang, Zeyuan Chen, Haotian Jin, Mingdong Wu, Yujun Shen, Yaodong Yang, Hao Dong

CoRR, May, 2025

Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution.

Zen Kit Heng, Zimeng Zhao, Tianhao Wu, Yuanfei Wang, Mingdong Wu, Yangang Wang, Hao Dong

CoRR, April, 2025

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World.

Yankai Fu, Qiuxuan Feng, Ning Chen, Zichen Zhou, Mengzhen Liu, Mingdong Wu, Tianxing Chen, Shanyu Rong, Jiaming Liu, Hao Dong, Shanghang Zhang

CoRR, February, 2025

AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning.

Yuanfei Wang, Xiaojie Zhang, Ruihai Wu, Yu Li, Yan Shen, Mingdong Wu, Zhaofeng He, Yizhou Wang, Hao Dong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

LVDiffusor: Distilling Functional Rearrangement Priors From Large Models Into Diffusor.

Yiming Zeng, Mingdong Wu, Long Yang, Jiyao Zhang, Hao Ding, Hui Cheng, Hao Dong

IEEE Robotics Autom. Lett., October, 2024

Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning.

Tianhao Wu, Jinzhou Li, Jiyao Zhang, Mingdong Wu, Hao Dong

CoRR, 2024

GFPack++: Improving 2D Irregular Packing by Learning Gradient Field with Attention.

Tianyang Xue, Lin Lu, Yang Liu, Mingdong Wu, Hao Dong, Yanbin Zhang, Renmin Han, Baoquan Chen

CoRR, 2024

Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking.

Jiyao Zhang, Weiyao Huang, Bo Peng, Mingdong Wu, Fei Hu, Zijian Chen, Bo Zhao, Hao Dong

CoRR, 2024

SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning.

Qian Long, Fangwei Zhong, Mingdong Wu, Yizhou Wang, Song-Chun Zhu

CoRR, 2024

UniDexFPM: Universal Dexterous Functional Pre-grasp Manipulation Via Diffusion Policy.

Tianhao Wu, Yunchong Gan, Mingdong Wu, Jingbo Cheng, Yaodong Yang, Yixin Zhu, Hao Dong

CoRR, 2024

MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation.

Hongcheng Wang, Peiqi Liu, Wenzhe Cai, Mingdong Wu, Zhengyu Qian, Hao Dong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking.

Jiyao Zhang, Weiyao Huang, Bo Peng, Mingdong Wu, Fei Hu, Zijian Chen, Bo Zhao, Hao Dong

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation.

Hongcheng Wang, Yuxuan Wang, Fangwei Zhong, Mingdong Wu, Jianwei Zhang, Yizhou Wang, Hao Dong

IEEE Robotics Autom. Lett., June, 2023

Distilling Functional Rearrangement Priors from Large Models.

Yiming Zeng, Mingdong Wu, Long Yang, Jiyao Zhang, Hao Ding, Hui Cheng, Hao Dong

CoRR, 2023

GenPose: Generative Category-level Object Pose Estimation via Diffusion Models.

Jiyao Zhang, Mingdong Wu, Hao Dong

CoRR, 2023

Learning Gradient Fields for Scalable and Generalizable Irregular Packing.

Tianyang Xue, Mingdong Wu, Lin Lu, Haoxuan Wang, Hao Dong, Baoquan Chen

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Generative Category-level Object Pose Estimation via Diffusion Models.

Jiyao Zhang, Mingdong Wu, Hao Dong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping.

Tianhao Wu, Mingdong Wu, Jiyao Zhang, Yunchong Gan, Hao Dong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation.

Hongcheng Wang, Andy Guan Hong Chen, Xiaoqi Li, Mingdong Wu, Hao Dong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GFPose: Learning 3D Human Pose Prior with Gradient Fields.

Hai Ci, Mingdong Wu, Wentao Zhu, Xiaoxuan Ma, Hao Dong, Fangwei Zhong, Yizhou Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Score-PA: Score-based 3D Part Assembly.

Junfeng Cheng, Mingdong Wu, Ruiyuan Zhang, Guanqi Zhan, Chao Wu, Hao Dong

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Pareto-Optimal Design of Litz-Wire Gapped-Core High-Frequency Transformer for LLC Converters.

Daniyal Ahmed, Li Wang, Zehua Dai, Mingdong Wu

IEEE Trans. Ind. Electron., 2022

Two-Dimensional Winding Loss Analytical Model for High-Frequency Multilayer Air-Core Planar Inductor.

Daniyal Ahmed, Li Wang, Mingdong Wu, Ling Mao, Xiaohui Wang

IEEE Trans. Ind. Electron., 2022

TarGF: Learning Target Gradient Field for Object Rearrangement.

Mingdong Wu, Fangwei Zhong, Yulong Xia, Hao Dong

CoRR, 2022

TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification.

Mingdong Wu, Fangwei Zhong, Yulong Xia, Hao Dong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022