2024 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 URL Bib 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}, url = {https://ieeexplore.ieee.org/document/10375342}, } DamWorld: 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 Explore Human Parsing Modality for Action Recognition Jinfu Liu, Runwei Ding, Yuhang Wen, Nan Dai, Fanyang Meng, Shen Zhao, and Mengyuan Liu 2024 arXiv Code Integrating Human Parsing and Pose Network for Human Action Recognition Runwei Ding, Yuhang Wen, Jinfu Liu, Nan Dai, Fanyang Meng, and Liu Mengyuan In Artificial Intelligence, 2024 URL arXiv Bib Code @inproceedings{ding2023integrating, author = {Ding, Runwei and Wen, Yuhang and Liu, Jinfu and Dai, Nan and Meng, Fanyang and Mengyuan, Liu}, title = {Integrating Human Parsing and Pose Network for Human Action Recognition}, booktitle = {Artificial Intelligence}, year = {2024}, publisher = {Springer Nature Singapore}, address = {Singapore}, pages = {182-194}, isbn = {978-981-99-8850-1}, doi = {10.1007/978-981-99-8850-1_15}, series = {CICAI 2023}, url = {https://link.springer.com/chapter/10.1007/978-981-99-8850-1_15}, } 2023 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 URL arXiv Bib 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}, url = {https://ieeexplore.ieee.org/document/10342472}, } 2021 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, 2021 URL arXiv Bib 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}, } 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 URL Bib 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}, year = {2021}, }