I am currently a research engineer in the Algorithms Research Center, Video Technology of Kuaishou , based in Beijing, China. I joined Kuaishou in 2020 and I am currently working in Ming Sun’s team to evaluate and promote the quality of user-generated videos on the Kuaishou platform.

I received my Ph.D. in Fluid Mechanics from Peking University in 2020, advised by Prof. Yue Yang. I also obtained my B.S. in Mechanics and Economics (double major) from Peking University in 2015.

I’m interested in contributing to video/image processing (restoration and enhancement), generative models, and MLLM research. I have published 10+ papers at top international AI conferences such as CVPR, ECCV, and AAAI. I have also published in top fluid mechanics journals such as the Journal of Fluid Mechanics.

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

• 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 as a research engineer in Beijing.

📝 Publications

🖥️ Computer Vision

• AAAI 2025 Plug-and-Play Tri-Branch Invertible Block for Image Rescaling, Jingwei Bao, Jinhua Hao^*, Pengcheng Xu, Ming Sun, Chao Zhou, Shuyuan Zhu.
• ECCV 2024 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.
• CVPR 2024 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.
• ECCV 2024 XPSR: Cross-modal priors for diffusion-based image super-resolution, Yunpeng Qu, Kun Yuan, Kai Zhao, Qizhi Xie, Jinhua Hao, Ming Sun, Chao Zhou.
• CVPR 2024 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.

🌊 Fluid Mechanics

• JFM Magnetic knot cascade via the stepwise reconnection of helical flux tubes, Jinhua Hao, Yue Yang, Journal of Fluid Mechanics, 2021.
• JFM Tracking vortex surfaces frozen in the virtual velocity in non-ideal flows, Jinhua Hao, Shiying Xiong, Yue Yang, Journal of Fluid Mechanics, 2019.

✨ Workshops

• CVPR 2024 Rank 2nd in NTIRE 2024 Challenge on Image Super-Resolution (x4). Jinhua Hao^*, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou.
• CVPR 2024 Rank 5th in NTIRE 2024 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: We have deployed several image and video processing algorithms, including Kuaishou Enhancement Processing (KEP) and Kuaishou Restoration Processing (KRP), such as video deartifacts, deblur, and SR.
• 2022.07: We have deployed cutting-edge super-resolution algorithms in Kuaishou App.
• 2021.12: We have deployed several UGC video quality assessment algorithms, including those for detecting noise, blockiness, and blurness.

🎖 Honors and Awards

• 2020.07, Peking Univerity Outstanding Graduates (Top 1%)
• 2015.09 - 2019.09, Peking University Chancellor’s Scholarship (Top 1%)

📖 Educations

• 2015.09 - 2020.06, Ph.D. in Fluid Mechanics, Peking University, Beijing.
• 2011.09 - 2015.06, Undergraduate, Peking Univeristy, Beijing.
• 2008.09 - 2011.06, The Affiliated High School of Shanxi University, Taiyuan.