I am currently a Research Engineer at Kuaishou Technology. I joined Kuaishou in 2020 and I am currently working with Ming Sun’s team, where we focus on promote the quality of user-generated videos on the Kuaishou platform.
I received my Ph.D. in Fluid Mechanics from Peking University in 2020 under the supervision of Prof. Yue Yang. Prior to this, I obtained my B.S. in Mechanics and Economics (double major) from Peking University in 2015.
My research interest includes generative models, image/video restoration and enhancement, and multimodal large language models (MLLMs).
I have published 10+ papers 
If you are interested in any form of academic cooperation, please do not hesitate to contact me at haojinhua@kuaishou.com. We are currently looking for interns to join our team.
News
- 2025.05: One paper is accepted by ICML 2025.
- 2024.12: One paper is accepted by AAAI 2025.
- 2024.07: Two papers are accepted by ECCV 2024.
- 2024.02: Two papers are accepted by CVPR 2024.
- 2020.07: I join Kuaishou Technology as a Research Engineer.
Publications
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Visual Autoregressive Modeling for Image Super-Resolution
Yunpeng Qu, Kun Yuan, Jinhua Hao, Kai Zhao, Qizhi Xie, Ming Sun, Chao Zhou
ICML 2025
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Plug-and-Play Tri-Branch Invertible Block for Image Rescaling
Jingwei Bao, Jinhua Hao*, Pengcheng Xu, Ming Sun, Chao Zhou, Shuyuan Zhu
AAAI 2025
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OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal
Qiao Mo, Yukang Ding, Jinhua Hao*, Qiang Zhu, Ming Sun, Chao Zhou, Feiyu Chen, Shuyuan Zhu
ECCV 2024
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CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement
Qiang Zhu, Jinhua Hao, Yukang Ding, Yu Liu, Qiao Mo, Ming Sun, Chao Zhou, Shuyuan Zhu
CVPR 2024
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XPSR: Cross-modal priors for diffusion-based image super-resolution
Yunpeng Qu, Kun Yuan, Kai Zhao, Qizhi Xie, Jinhua Hao, Ming Sun, Chao Zhou
ECCV 2024
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PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild
Kun Yuan, Hongbo Liu, Mading Li, Muyi Sun, Ming Sun, Jiachao Gong, Jinhua Hao, Chao Zhou, Yansong Tang
CVPR 2024
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CasSR: Activating Image Power for Real-World Image Super-Resolution
Haolan Chen, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Wei Hu
Preprint
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HPGN: Hybrid Priors-Guided Network for Compressed Low-Light Image Enhancement
Hantang Li, Jinhua Hao, Lei Xiong, and Shuyuan Zhu
Preprint
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Effects of magnetic–vortical interactions on magnetic splitting
Linlin Kang, Yanru Wang, Zhongzheng Jiang, Jinhua Hao, Shiying Xiong, Dixia Fan, Weicheng Cui
Journal of Fluid Mechanics, 2025
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Magnetic knot cascade via the stepwise reconnection of helical flux tubes
Jinhua Hao, Yue Yang
Journal of Fluid Mechanics, 2021
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Tracking vortex surfaces frozen in the virtual velocity in non-ideal flows
Jinhua Hao, Shiying Xiong, Yue Yang
Journal of Fluid Mechanics, 2019
Competitions
- CVPR 2024: 2nd Place in NTIRE Challenge on Image Super-Resolution (x4). Jinhua Hao*, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou.
- CVPR 2024: 5th Place in NTIRE Challenge on Blind Enhancement of Compressed Image. Qiao Mo, Jingwei Bao, Jinhua Hao*, Yukang Ding, Hantang Li, Ming Sun, Chao Zhou, Shuyuan Zhu.
Projects
- 2023.01: Developed and deployed image/video processing algorithms, including Kuaishou Enhancement Processing (KEP) and Kuaishou Restoration Processing (KRP), for tasks such as video artifact removal, deblurring, and super-resolution.
- 2022.07: Developed and deployed cutting-edge super-resolution algorithms in the Kuaishou App.
- 2021.12: Developed and deployed several UGC video quality assessment algorithms, including those for detecting noise, blockiness, and blur.
Honors
- 2020.07, Peking Univerity Outstanding Graduates (Top 1%)
- 2015.09 - 2019.09, Peking University Chancellor’s Scholarship (Top 1%)
Education
- 2015.09 - 2020.06, Ph.D. in Fluid Mechanics, Peking University, Beijing.
- 2011.09 - 2015.06, B.S. in Mechanics, Peking Univeristy, Beijing.