publications

2024

1. NeurIPS

   

   CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition

   Yuhang Wen, Mengyuan Liu^†, Songtao Wu, and Beichen Ding^†

   In Advances in Neural Information Processing Systems (NeurIPS), 2024

   arXiv Bib PDF Code Website

   @inproceedings{wen2024chase,
     author = {Wen, Yuhang and Liu, Mengyuan and Wu, Songtao and Ding, Beichen},
     title = {CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2024},
     pages = {9388--9420},
     volume = {37},
     publisher = {Curran Associates, Inc.},
     url = {https://proceedings.neurips.cc/paper_files/paper/2024/file/11f5520daf9132775e8604e89f53925a-Paper-Conference.pdf},
   }

2. TIP

   

   Facial Prior Guided Micro-Expression Generation

   Yi Zhang, Xinhua Xu, Youjun Zhao, Yuhang Wen, Zixuan Tang, and Mengyuan Liu^†

   IEEE Transactions on Image Processing, 2024

   Bib PDF Code

   @article{zhang2024facial,
     author = {Zhang, Yi and Xu, Xinhua and Zhao, Youjun and Wen, Yuhang and Tang, Zixuan and Liu, Mengyuan},
     journal = {IEEE Transactions on Image Processing},
     title = {Facial Prior Guided Micro-Expression Generation},
     year = {2024},
     volume = {33},
     number = {},
     pages = {525-540},
     doi = {10.1109/TIP.2023.3345177},
     dimensions = {true},
   }

3. 

   Surfer: Progressive Reasoning with World Models for Robotic Manipulation

   Pengzhen Ren^*, Kaidong Zhang^*, Hetao Zheng, Zixuan Li, Yuhang Wen, Fengda Zhu, Mas Ma, and Xiaodan Liang^†

   2024

   arXiv

2023

1. IROS

   

   Interactive Spatiotemporal Token Attention Network for Skeleton-Based General Interactive Action Recognition

   Yuhang Wen, Zixuan Tang, Yunsheng Pang, Beichen Ding^†, and Mengyuan Liu^†

   In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023

   arXiv Bib PDF Code Website

   @inproceedings{wen2023interactive,
     author = {Wen, Yuhang and Tang, Zixuan and Pang, Yunsheng and Ding, Beichen and Liu, Mengyuan},
     booktitle = {2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
     title = {Interactive Spatiotemporal Token Attention Network for Skeleton-Based General Interactive Action Recognition},
     year = {2023},
     volume = {},
     number = {},
     pages = {7886-7892},
     doi = {10.1109/IROS55552.2023.10342472},
     dimensions = {true},
   }

2021

1. ACM MM

   

   Facial Prior Based First Order Motion Model for Micro-Expression Generation

   Yi Zhang^*, Youjun Zhao^*, Yuhang Wen, Zixuan Tang, Xinhua Xu, and Mengyuan Liu^†

   In Proceedings of the 29th ACM International Conference on Multimedia, Virtual Event, China, 2021

   arXiv Bib PDF Code

   @inproceedings{fpbfomm2021,
     author = {Zhang, Yi and Zhao, Youjun and Wen, Yuhang and Tang, Zixuan and Xu, Xinhua and Liu, Mengyuan},
     title = {Facial Prior Based First Order Motion Model for Micro-Expression Generation},
     year = {2021},
     isbn = {9781450386517},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3474085.3479211},
     doi = {10.1145/3474085.3479211},
     booktitle = {Proceedings of the 29th ACM International Conference on Multimedia},
     pages = {4755-4759},
     numpages = {5},
     keywords = {facial micro-expression, facial landmark, deep learning, micro-expression generation, generative adversarial network},
     location = {Virtual Event, China},
     series = {MM '21},
     dimensions = {true},
   }

2. 

   CARes-UNet: Content-aware residual UNet for lesion segmentation of COVID-19 from chest CT images

   Xinhua Xu^*, Yuhang Wen^*, Lu Zhao^*, Yi Zhang, Youjun Zhao, Zixuan Tang, Ziduo Yang, and Calvin Yu-Chian Chen^†

   Medical Physics, 2021

   Bib PDF Code Poster Slides

   @article{caresunet2021,
     author = {Xu, Xinhua and Wen, Yuhang and Zhao, Lu and Zhang, Yi and Zhao, Youjun and Tang, Zixuan and Yang, Ziduo and Chen, Calvin Yu-Chian},
     title = {CARes-UNet: Content-aware residual UNet for lesion segmentation of COVID-19 from chest CT images},
     journal = {Medical Physics},
     volume = {48},
     number = {11},
     pages = {7127-7140},
     keywords = {computed tomography (CT) image, content-aware residual UNet, coronavirus disease 2019 (COVID-19), deep learning, segmentation},
     doi = {10.1002/mp.15231},
     url = {https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.15231},
     eprint = {https://aapm.onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15231},
     year = {2021},
     dimensions = {true},
   }