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 [email protected]. We are currently looking for interns to join our team!
- Personal Pages: https://eric-hao.github.io (updated recently🔥)
- Google Scholar: https://scholar.google.com/citations?user=hVMNCSQAAAAJ
- DBLP: https://dblp.org/pid/372/0042.html
- 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.
My full paper list is on my homepage.
AAAI 2025
Plug-and-Play Tri-Branch Invertible Block for Image RescalingECCV 2024
OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts RemovalCVPR 2024
CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality EnhancementECCV 2024
XPSR: Cross-modal priors for diffusion-based image super-resolutionCVPR 2024
PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the WildJFM 2021
Magnetic knot cascade via the stepwise reconnection of helical flux tubesJFM 2019
Tracking vortex surfaces frozen in the virtual velocity in non-ideal flows