@InProceedings{Hong22Learn2Fix,
    author = {Hong, Yining and Mo, Kaichun and Yi, Li and Guibas, Leonidas and Torralba, Antonio and Tenenbaum, Joshua and Gan, Chuang},
    title = {Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction},
    booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    year = {2022}
}

@InProceedings{li2022ifrexplore,
    title = {{IFR-Explore}: Learning Inter-object Functional Relationships in 3D Indoor Scenes},
    author = {Li, Qi and Mo, Kaichun and Yang, Yanchao and Zhao, Hang and Guibas, Leonidas},
    booktitle = {International Conference on Learning Representations (ICLR)},
    year = {2022}
}

@InProceedings{wu2022vatmart,
    title = {{VAT-Mart}: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects},
    author = {Wu, Ruihai and Zhao, Yan and Mo, Kaichun and Guo, Zizheng and Wang, Yian and Wu, Tianhao and Fan, Qingnan and Chen, Xuelin and Guibas, Leonidas and Dong, Hao},
    booktitle = {International Conference on Learning Representations (ICLR)},
    year = {2022}
}

@InProceedings{pan2022object,
    title = {Object Pursuit: Building a Space of Objects via Discriminative Weight Generation},
    author = {Pan, Chuanyu and Yang, Yanchao and Mo, Kaichun and Duan, Yueqi and Guibas, Leonidas},
    booktitle = {International Conference on Learning Representations (ICLR)},
    year = {2022}
}

@article{yang2022dsg,
  title={DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation},
  author={Yang, Jie and Mo, Kaichun and Lai, Yu-Kun and Guibas, Leonidas J and Gao, Lin},
  journal={ACM Transactions on Graphics (ToG)},
  year={2022}
}

@inProceedings{mo2021o2oafford,
    title={O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning},
    author={Mo, Kaichun and Qin, Yuzhe and Xiang, Fanbo and Su, Hao and Guibas, Leonidas},
    year={2021},
    booktitle={Conference on Robot Learning (CoRL)}
}

@inProceedings{cheng2021regrasp,
    title={Learning to Regrasp by Learning to Place},
    author={Cheng, Shuo and Mo, Kaichun and Shao, Lin},
    year={2021},
    booktitle={Conference on Robot Learning (CoRL)}
}

@InProceedings{Mo_2021_ICCV,
    author    = {Mo, Kaichun and Guibas, Leonidas J. and Mukadam, Mustafa and Gupta, Abhinav and Tulsiani, Shubham},
    title     = {Where2Act: From Pixels to Actions for Articulated 3D Objects},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2021},
    pages     = {6813-6823}
}

@article{Huang20GenPartAss,
    title = {Generative 3D Part Assembly via Dynamic Graph Learning},
    author={Huang, Jialei and Zhan, Guanqi and Fan, Qingnan and Mo, Kaichun and Shao, Lin and Chen, Baoquan and Guibas, Leonidas and Dong, Hao},
    journal={Advances in Neural Information Processing Systems (NeurIPS)},
    year={2020}
}

@article{mo2020pt2pc,
    title={PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions},
    author={Mo, Kaichun and Wang, He and Yan, Xinchen and Guibas, Leonidas},
    journal={European conference on computer vision (ECCV 2020)},
    year={2020}
}

@article{li2020impartass,
    title={Learning 3D Part Assembly from a Single Image},
    author={Li, Yichen and Mo, Kaichun and Shao, Lin and Sung, Minghyuk and Guibas, Leonidas},
    journal={European conference on computer vision (ECCV 2020)},
    year={2020}
}

@InProceedings{xqmxzlljywycgs-saspie-20,
    author = {Xiang, Fanbo and Qin, Yuzhe and Mo, Kaichun and Xia, Yikuan and Zhu, Hao and Liu, Fangchen and Liu, Minghua and Jiang, Hanxiao and Yuan, Yifu and Wang, He and Yi, Li and Chang, Angel X. and Guibas, Leonidas J. and Su, Hao},
    title = {SAPIEN: A SimulAted Part-based Interactive ENvironment},
    booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    year = {2020}
}

@InProceedings{mgyswmg-slssv-20,
    author = {Mo, Kaichun and Guerrero, Paul and Yi, Li and Su, Hao and Wonka, Peter and Mitra, Niloy and Guibas, Leonidas},
    title = {{StructEdit}: Learning Structural Shape Variations},
    booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    year = {2020}
}

@InProceedings{Luo_2020_ICLR,
    author = {Luo, Tiange and Mo, Kaichun and Huang, Zhiao and Hu, Siyu and Xu, Jiarui and Wang, Liwei and Su, Hao},
    title = {Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories},
    booktitle = {International Conference on Learning Representations (ICLR)},
    year = {2020}
}

@article{mo2019structurenet,
      title={StructureNet: Hierarchical Graph Networks for 3D Shape Generation},
      author={Mo, Kaichun and Guerrero, Paul and Yi, Li and Su, Hao and Wonka, Peter and Mitra, Niloy and Guibas, Leonidas},
      journal={Siggraph Asia 2019 (a special issue of TOG)},
      year={2019}
}

@article{mo2018partnet,
    title={PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level {3D} Object Understanding},
    author={Mo, Kaichun and Zhu, Shilin and Chang, Angel and Yi, Li and Tripathi, Subarna and Guibas, Leonidas and Su, Hao},
    booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2019}
}

@article{qsmg-pdlps3dcs-17,
  title={PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation},
  author={Qi, Charles R and Su, Hao and Mo, Kaichun and Guibas, Leonidas J},
  journal={Proc. Computer Vision and Pattern Recognition (CVPR), IEEE},
  year={2017}
}