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I'm a PhD student in computer science at University of Toronto and Vector Institute, advised by Prof. Igor Gilitschenski. Prior to that, I obtained my M.S. in computer science at University of Illinois Urbana-Champaign supervised by Prof. Yu-Xiong Wang, and my B.S. in computer science at Peking University supervised by Prof. Jiaying Liu and worked as an intern student in STRUCT Team.
My research interests mainly focus on computer vision, with experiences in scene understanding, generative models and computational photography. Email / CV / Google Scholar / GitHub / Twitter |
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Shuhong Zheng, Ashkan Mirzaei, and Igor Gilitschenski Conference on Neural Information Processing Systems (NeurIPS), 2025 Paper / arXiv / Code / Website |
Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao, Martial Hebert, and Yu-Xiong Wang
International Conference on Learning Representations (ICLR), 2025
Paper / arXiv / Code / Website
Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liang-Yan Gui, and Yu-Xiong Wang
Conference on Neural Information Processing Systems (NeurIPS), 2024
Paper / arXiv / Code / Website
Yining Hong, Haoyu Zhen, Peihao Chen, Shuhong Zheng, Yilun Du, Zhenfang Chen, and Chuang Gan
Conference on Neural Information Processing Systems (NeurIPS), 2023
(Spotlight)
Paper / arXiv / Code / Website
Shuhong Zheng*, Zhipeng Bao*, Martial Hebert, and Yu-Xiong Wang
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Paper / arXiv / Code / Website
Presention on Generative Models for Computer Vision Workshop at IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Mingtong Zhang*, Shuhong Zheng*, Zhipeng Bao, Martial Hebert, and Yu-Xiong Wang
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
(First-Round Acceptance)
Paper / arXiv / Code
Presention on AI for Creative Video Editing and Understanding Workshop at European Conference on Computer Vision (ECCV), 2022.