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I am a Research Scientist at NVIDIA Research, working with Prof. Song Han. I obtained my Ph.D. degree from National University of Singapore, where I was advised by A/P Gim Hee Lee. I obtained my B.E. degree from Tianjin University. We are working on efficient and high-quality AIGC models, including image, video and 3D generation. |
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Research Scientist NVIDIA Research | May 2025 - Present
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Research Intern GenAI, Microsoft | April 2024 - August 2024
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Junsong Chen*, Yuyang Zhao*, Jincheng Yu*, Ruihang Chu, Junyu Chen, Shuai Yang, Xianbang Wang, Yicheng Pan, Daquan Zhou, Huan Ling, Haozhe Liu, Hongwei Yi, Hao Zhang, Muyang Li, Yukang Chen, Han Cai, Sanja Fidler, Ping Luo, Song Han, Enze Xie (* Equal contribution) ICLR, 2026 (Oral) SANA-Video is an efficient and high-quality video generation model. The LongSANA variant combines SANA-Video with LongLive to generate long and high-quality videos with 27 FPS generation speed. |
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Shuai Yang, Wei Huang, Yicheng Xiao, Yuyang Zhao, Xianbang Wang, Muyang Li, Enze Xie, Yingcong Chen, Yao Lu, Song Han, Yukang Chen ICLR, 2026 LongLive is a real-time interactive long video generation model. |
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Yuyang Zhao, Chung-Ching Lin, Kevin Lin, Zhiwen Yan, Linjie Li, Zhengyuan Yang, Jianfeng Wang, Gim Hee Lee, Lijuan Wang ICLR, 2025 A joint framework for general 3D and 4D generation, supporting both object-level and scene-level generation with one or three condition views. |
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Junsong Chen*, Shuchen Xue*, Yuyang Zhao†, Jincheng Yu†, Sayak Paul, Junyu Chen, Han Cai, Song Han, Enze Xie (* Equal contribution, † Core contribution) ICCV, 2025 Highlight One-step and few-step high quality image generation. |
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Enze Xie*, Junsong Chen*, Yuyang Zhao†, Jincheng Yu†, Ligeng Zhu†, Yujun Lin, Zhekai Zhang, Muyang Li, Junyu Chen, Han Cai, Bingchen Liu, Daquan Zhou, Song Han (* Equal contribution, † Core contribution) ICML, 2025 New SoTA in GenEval with efficient scaling. |
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Seungjun Lee*, Yuyang Zhao*, Gim Hee Lee (* Equal contribution) ICLR, 2025 SOLE is a highly generalizable open-vocabulary instance segmentor and can segment corresponding instances with various language instructions. |
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Yuyang Zhao, Zhiwen Yan, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee Arxiv The first work to animate a single in-the-wild image into 3D video through textual motion descriptions. |
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Tao Hu, Wenhang Ge, Yuyang Zhao, Gim Hee Lee NeurIPS, 2024 Spotlight |
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Yuyang Zhao, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee Arxiv The first framework for generic video editing with both visual and textual clues. Make-A-Protagonist can achieve background editing, protagonist editing, and text-to-video editing with protagonist. |
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Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee IJCV, 2023 Extension of our ECCV 2022 paper (SHADE). This paper applies SHADE to visual domain generalization tasks, including semantic segmentation with Transformer backbone, image classification, and object detection. |
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Zhun Zhong*, Yuyang Zhao*, Gim Hee Lee, Nicu Sebe (* Equal contribution) NeurIPS, 2022 PDF / Code AdvStyle adversarially changes the channel-wise mean and standard deviation to diversify source samples. |
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Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee ECCV, 2022 We introduce a dual consistency learning framework for domain generalized semantic segmentation, and propose a style hallucination module to generate pair-wise stylized samples. |
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Yuyang Zhao, Zhun Zhong, Nicu Sebe, Gim Hee Lee CVPR, 2022 The first work focuses on novel class discovery in semantic segmentation. This work addresses the co-occurrence of base, novel and background classes. |
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Yuyang Zhao*, Zhun Zhong*, Fengxiang Yang, Zhiming Luo, Shaozi Li, Nicu Sebe (* Equal contribution) CVPR, 2021 PDF / Code |
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Stolen from Jon Barron |