TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification. - Mingdong Wu; Fangwei Zhong; Yulong Xia; Hao Dong 003 (NeurIPS, 2022)

TarGF: Learning Target Gradient Field for Object Rearrangement. - Mingdong Wu; Fangwei Zhong; Yulong Xia; Hao Dong 003 (CoRR, 2022)

Two-Dimensional Winding Loss Analytical Model for High-Frequency Multilayer Air-Core Planar Inductor. - Daniyal Ahmed; Li Wang 053; Mingdong Wu; Ling Mao; Xiaohui Wang (IEEE Trans. Ind. Electron., 2022)

Pareto-Optimal Design of Litz-Wire Gapped-Core High-Frequency Transformer for LLC Converters. - Daniyal Ahmed; Li Wang 053; Zehua Dai; Mingdong Wu (IEEE Trans. Ind. Electron., 2022)

Score-PA: Score-based 3D Part Assembly. - Junfeng Cheng; Mingdong Wu; Ruiyuan Zhang; Guanqi Zhan; Chao Wu 001; Hao Dong 003 (BMVC, 2023)

GFPose: Learning 3D Human Pose Prior with Gradient Fields. - Hai Ci; Mingdong Wu; Wentao Zhu 004; Xiaoxuan Ma 001; Hao Dong 003; Fangwei Zhong; Yizhou Wang 001 (CVPR, 2023)

Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation. - Hongcheng Wang; Andy Guan Hong Chen; Xiaoqi Li 020; Mingdong Wu; Hao Dong 003 (NeurIPS, 2023)

Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping. - Tianhao Wu 001; Mingdong Wu; Jiyao Zhang; Yunchong Gan; Hao Dong 003 (NeurIPS, 2023)

Generative Category-level Object Pose Estimation via Diffusion Models. - Jiyao Zhang; Mingdong Wu; Hao Dong 003 (NeurIPS, 2023)

Learning Gradient Fields for Scalable and Generalizable Irregular Packing. - Tianyang Xue; Mingdong Wu; Lin Lu 001; Haoxuan Wang; Hao Dong 003; Baoquan Chen (SIGGRAPH Asia, 2023)

GenPose: Generative Category-level Object Pose Estimation via Diffusion Models. - Jiyao Zhang; Mingdong Wu; Hao Dong 003 (CoRR, 2023)

Distilling Functional Rearrangement Priors from Large Models. - Yiming Zeng 009; Mingdong Wu; Long Yang; Jiyao Zhang; Hao Ding; Hui Cheng; Hao Dong 003 (CoRR, 2023)

Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation. - Hongcheng Wang; Yuxuan Wang 005; Fangwei Zhong; Mingdong Wu; Jianwei Zhang 001; Yizhou Wang 001; Hao Dong 003 (IEEE Robotics Autom. Lett., 2023)

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 (ECCV (75), 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 003 (NeurIPS, 2024)

UniDexFPM: Universal Dexterous Functional Pre-grasp Manipulation Via Diffusion Policy. - Tianhao Wu 001; Yunchong Gan; Mingdong Wu; Jingbo Cheng; Yaodong Yang 001; Yixin Zhu 001; Hao Dong 003 (CoRR, 2024)

SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning. - Qian Long; Fangwei Zhong; Mingdong Wu; Yizhou Wang 001; Song-Chun Zhu (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 003 (CoRR, 2024)

GFPack++: Improving 2D Irregular Packing by Learning Gradient Field with Attention. - Tianyang Xue; Lin Lu 001; Yang Liu 014; Mingdong Wu; Hao Dong 003; Yanbin Zhang; Renmin Han; Baoquan Chen (CoRR, 2024)

Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning. - Tianhao Wu 001; Jinzhou Li; Jiyao Zhang; Mingdong Wu; Hao Dong 003 (CoRR, 2024)

LVDiffusor: Distilling Functional Rearrangement Priors From Large Models Into Diffusor. - Yiming Zeng 008; Mingdong Wu; Long Yang; Jiyao Zhang; Hao Ding; Hui Cheng; Hao Dong 003 (IEEE Robotics Autom. Lett., 2024)

AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning. - Yuanfei Wang; Xiaojie Zhang; Ruihai Wu; Yu Li; Yan Shen 035; Mingdong Wu; Zhaofeng He; Yizhou Wang 001; Hao Dong 003 (ICLR, 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 003; Hao Dong 003; Shanghang Zhang (CoRR, 2025)

Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution. - Zen Kit Heng; Zimeng Zhao; Tianhao Wu 001; Yuanfei Wang; Mingdong Wu; Yangang Wang; Hao Dong 003 (CoRR, 2025)

Adaptive Visuo-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation. - Jinzhou Li; Tianhao Wu 001; Jiyao Zhang; Zeyuan Chen; Haotian Jin; Mingdong Wu; Yujun Shen; Yaodong Yang 001; Hao Dong 003 (CoRR, 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 003 (CoRR, 2025)