Publications

2026

1. 

   PhysInOne: Visual Physics Learning and Reasoning in One Suite

   Siyuan Zhou, Hejun Wang, Hu Cheng, Jinxi Li, Dongsheng Wang, Junwei Jiang, Yixiao Jin, Jiayue Huang, Shiwei Mao, Shangjia Liu, Yafei Yang, Hongkang Song, Shenxing Wei, Zihui Zhang, Peng Huang, Shijie Liu, Zhengli Hao, Hao Li, Yitian Li, Wenqi Zhou, Zhihan Zhao, Zongqi He, Hongtao Wen, Shouwang Huang, Peng Yun, Bowen Cheng, Pok Kazaf Fu, Wai Kit Lai, Jiahao Chen, Kaiyuan Wang, Zhixuan Sun, Ziqi Li, Haochen Hu, Di Zhang, Chun Ho Yuen, Bing Wang, Zhihua Wang, Chuhang Zou, and Bo Yang

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026

   arXiv Bib Code Website

   @inproceedings{zhou2026physinone,
     title = {PhysInOne: Visual Physics Learning and Reasoning in One Suite},
     author = {Zhou, Siyuan and Wang, Hejun and Cheng, Hu and Li, Jinxi and Wang, Dongsheng and Jiang, Junwei and Jin, Yixiao and Huang, Jiayue and Mao, Shiwei and Liu, Shangjia and Yang, Yafei and Song, Hongkang and Wei, Shenxing and Zhang, Zihui and Huang, Peng and Liu, Shijie and Hao, Zhengli and Li, Hao and Li, Yitian and Zhou, Wenqi and Zhao, Zhihan and He, Zongqi and Wen, Hongtao and Huang, Shouwang and Yun, Peng and Cheng, Bowen and Fu, Pok Kazaf and Lai, Wai Kit and Chen, Jiahao and Wang, Kaiyuan and Sun, Zhixuan and Li, Ziqi and Hu, Haochen and Zhang, Di and Yuen, Chun Ho and Wang, Bing and Wang, Zhihua and Zou, Chuhang and Yang, Bo},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {33131--33142},
     year = {2026},
   }

2025

1. 

   LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds

   Zihui Zhang, Weisheng Dai, Hongtao Wen, and Bo Yang

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

   arXiv Bib Code Website

   @inproceedings{zhang2025logosp,
     title = {{LogoSP}: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds},
     author = {Zhang, Zihui and Dai, Weisheng and Wen, Hongtao and Yang, Bo},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {1374--1384},
     year = {2025},
   }

2. 

   GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision

   Zihui Zhang, Yafei Yang, Hongtao Wen, and Bo Yang

   In The Thirteenth International Conference on Learning Representations, 2025

   Spotlight

   arXiv Bib Code Website

   @inproceedings{zhang2025grabs,
     title = {{GrabS}: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision},
     author = {Zhang, Zihui and Yang, Yafei and Wen, Hongtao and Yang, Bo},
     booktitle = {The Thirteenth International Conference on Learning Representations},
     year = {2025},
     note = {Spotlight},
   }

2022

1. 

   TransGrasp: Grasp pose estimation of a category of objects by transferring grasps from only one labeled instance

   Hongtao Wen, Jianhang Yan, Wanli Peng, and Yi Sun

   In European Conference on Computer Vision, 2022

   arXiv Bib Code Website

   @inproceedings{wen2022transgrasp,
     title = {TransGrasp: Grasp pose estimation of a category of objects by transferring grasps from only one labeled instance},
     author = {Wen, Hongtao and Yan, Jianhang and Peng, Wanli and Sun, Yi},
     booktitle = {European Conference on Computer Vision},
     pages = {445--461},
     year = {2022},
     organization = {Springer},
   }

2. 

   Self-supervised category-level 6D object pose estimation with deep implicit shape representation

   Wanli Peng, Jianhang Yan, Hongtao Wen, and Yi Sun

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2022

   Bib PDF Code Website

   @inproceedings{peng2022self,
     title = {Self-supervised category-level 6D object pose estimation with deep implicit shape representation},
     author = {Peng, Wanli and Yan, Jianhang and Wen, Hongtao and Sun, Yi},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
     volume = {36},
     number = {2},
     pages = {2082--2090},
     year = {2022},
   }