(* Equal contribution. † Corresponding author.)

• PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models
  • Dingkun Guo, Yuqi Xiang, Shuqi Zhao, Xinghao Zhu, Masayoshi Tomizuka, Mingyu Ding†, Wei Zhan
    arXiv
• RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis
  • Yao Mu, Junting Chen, Qinglong Zhang, Shoufa Chen, et al., Jifeng Dai, Yu Qiao, Mingyu Ding†, Ping Luo
    arXiv
• RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation
  • Junting Chen, Yao Mu, Qiaojun Yu, Tianming Wei, et al., Yu Qiao, Huazhe Xu, Mingyu Ding†, Ping Luo
    arXiv
• Generalizable Long-Horizon Manipulations with Large Language Models
  • Haoyu Zhou, Mingyu Ding†, Weikun Peng, Masayoshi Tomizuka, Lin Shao, Chuang Gan
    arXiv
• Human-oriented Representation Learning for Robotic Manipulation
  • Mingxiao Huo, Mingyu Ding†, Chenfeng Xu, Thomas Tian, Xinghao Zhu, Yao Mu, Lingfeng Sun, Masayoshi Tomizuka, Wei Zhan
    arXiv
• LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
  • Hao Sha, Yao Mu, Yuxuan Jiang, Li Chen, Chenfeng Xu, Ping Luo, Eben Li, Masayoshi Tomizuka, Wei Zhan, Mingyu Ding†
    arXiv
• SkillDiffuser: Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution
  • Zhixuan Liang, Yao Mu, Hengbo Ma, Masayoshi Tomizuka, Mingyu Ding†, Ping Luo
    CVPR 2024
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  • Open X-Embodiment Collaboration: Google, Mingyu Ding, et al.
    ICRA 2024 (Finalists for Best Conference Paper, Best Student Paper, and Best Manipulation Paper Awards)
• Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
  • Mengkang Hu, Yao Mu, Chelsey Yu, Mingyu Ding†, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo
    ICLR 2024
• UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
  • Haoyu Lu, Yuqi Huo, Guoxing Yang, Zhiwu Lu, Wei Zhan, Masayoshi Tomizuka, Mingyu Ding†
    ICLR 2024
• VDT: General-purpose Video Diffusion Transformers via Mask Modeling
  • Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding†
    ICLR 2024
• EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
  • Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding†, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo
    NeurIPS 2023 (Spotlight)
• Towards Free Data Selection with General-Purpose Models
  • Yichen Xie, Mingyu Ding†, Masayoshi Tomizuka, Wei Zhan
    NeurIPS 2023
• Doubly-Robust Self-Training
  • Banghua Zhu, Mingyu Ding, Philip Jacobson, Ming Wu, Wei Zhan, Michael Jordan, Jiantao Jiao
    NeurIPS 2023
• Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
  • Hsiao-Yu Tung*, Mingyu Ding*, Zhenfang Chen, Daniel M. Bear, Chuang Gan, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith Fan, Kevin A. Smith
    NeurIPS dataset track 2023 & CogSci/VSS 2023
• AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
  • Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo
    ICML 2023 (Oral)
• Quadric Representations for LiDAR Odometry, Mapping and Localization
  • Chao Xia, Chenfeng Xu, Patrick Rim, Mingyu Ding, Nanning Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan
    RA-L 2023
• NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields
  • Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Jingdong Wang, Liangjun Zhang, Mac Schwager
    RA-L 2023
• TextPSG: Panoptic Scene Graph Generation from Textual Descriptions
  • Chengyang Zhao, Yikang Shen, Zhenfang Chen, Mingyu Ding, Chuang Gan
    ICCV 2023
• Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention
  • Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan
    CVPR 2023
• EC^2: Emergent Communication for Embodied Control
  • Yao Mu, Shunyu Yao, Mingyu Ding, Ping Luo, Chuang Gan
    CVPR 2023
• Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners
  • Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik Learned-Miller, Chuang Gan
    CVPR 2023
• Context Autoencoder for Self-Supervised Representation Learning
  • Xiaokang Chen, Mingyu Ding, Xiaodi Wang, Ying Xin, Shentong Mo, Yunhao Wang, Shumin Han, Ping Luo, Gang Zeng, Jingdong Wang
    IJCV 2023
• Understanding Self-Supervised Pretraining with Part-Aware Representation Learning
  • Jie Zhu*, Jiyang Qi*, Mingyu Ding*, Xiaokang Chen, Ping Luo, Xinggang Wang, Wenyu Liu, Leye Wang, Jingdong Wang
    TMLR 2023
• Planning with Large Language Models for Code Generation
  • Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan
    ICLR 2023
• LGDN: Language-Guided Denoising Network for Video-Language Modeling
  • Haoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, Zhiwu Lu
    NeurIPS 2022 (Spotlight)
• Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following
  • Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan
    CoRL 2022
• DaViT: Dual Attention Vision Transformers
  • Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan
    ECCV 2022
• CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
  • Yao Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo
    ICML 2022 (Spotlight)
• ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
  • Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan
    ICLR 2022
• Learning Versatile Neural Architectures by Propagating Network Codes
  • Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo
    ICLR 2022
• Compressed Video Contrastive Learning
  • Yuqi Huo*, Mingyu Ding*, Haoyu Lu, Nanyi Fei, Zhiwu Lu, Ji-Rong Wen, Ping Luo
    NeurIPS 2021
• Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
  • Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Joshua B. Tenenbaum, Chuang Gan
    NeurIPS 2021
• Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw
  • Yuqi Huo, Mingyu Ding, Haoyu Lu, Ziyuan Huang, Mingqian Tang, Zhiwu Lu, Tao Xiang
    IJCAI 2021
• HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers
  • Mingyu Ding, Xiaochen Lian, Linjie Yang, Peng Wang, Xiaojie Jin, Zhiwu Lu, Ping Luo
    CVPR 2021 (Oral)
• L2M-GAN: Learning to Manipulate Latent Space Semantics for Facial Attribute Editing
  • Guoxing Yang, Nanyi Fei, Mingyu Ding, Guangzhen Liu, Zhiwu Lu, Tao Xiang
    CVPR 2021 (Oral)
• PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond
  • Enze Xie, Wenhai Wang, Mingyu Ding, Ruimao Zhang, Ping Luo
    TPAMI 2021
• IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning
  • Manli Zhang, Jianhong Zhang, Zhiwu Lu, Tao Xiang, Mingyu Ding, Songfang Huang
    ICLR 2021
• A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry
  • Yao Lu*, Xiaoli Xu*, Mingyu Ding*, Zhiwu Lu, Tao Xiang
    AAAI 2021
• Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation
  • Hongwei Yi, Zizhuang Wei, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai
    ECCV 2020
• Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking
  • Jianfeng Yan, Zizhuang Wei, Hongwei Yi, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai
    ECCV 2020 (Spotlight)
• Segmenting Transparent Objects in the Wild
  • Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo
    ECCV 2020
• Learning Depth-Guided Convolutions for Monocular 3D Object Detection
  • Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo
    CVPR 2020
• SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
  • Hongwei Yi, Shaoshuai Shi, Mingyu Ding, Jiankai Sun, Kui Xu, Zhe Wang, Sheng Li, Guoping Wang
    ICRA 2020
• Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
  • Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo
    AAAI 2020
• CamNet: Coarse-to-Fine Retrieval for Camera Re-localization
  • Mingyu Ding, Zhe Wang, Jiankai Sun, Jianping Shi, Ping Luo
    ICCV 2019
• Face-Focused Cross-Stream Network for Deception Detection in Videos
  • Mingyu Ding*, An Zhao*, Zhiwu Lu, Tao Xiang, Ji-Rong Wen
    CVPR 2019
• Zero-Shot Learning with Superclasses
  • Yuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen, Zhiwu Lu
    ICONIP 2018 (Best Student Paper Runner-up)
• Domain-Invariant Projection Learning for Zero-Shot Recognition
  • An Zhao*, Mingyu Ding*, Jiechao Guan*, Zhiwu Lu, Tao Xiang, Ji-Rong Wen
    NeurIPS 2018

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