Guangtao Zhai
Also known as G. Zhai, G.J. Zhai, Guang-Tao Zhai, 翟广涛
Guangtao Zhai is a multimedia signal-processing researcher whose work links human visual perception with image-quality assessment. He earned engineering degrees from Shandong University and a Ph.D. from Shanghai Jiao Tong University, then worked at McMaster University and Friedrich Alexander University of Erlangen-Nürnberg. In 2020, he coauthored a survey of perceptual image quality, became an IEEE Fellow in 2025, and led an fMRI study whose feature-fusion approach improved ResNet image-quality assessment by 14.29%. As of October 2026, he is a distinguished professor at Shanghai Jiao Tong University, Editor-in-Chief of Displays, chair of the Shanghai Image and Graphics Association, and a member of an IEEE CASS technical committee.
- Now at
- Shanghai Jiao Tong University and Shanghai Image and Graphics Association
- Works
- 1,006
- Citations
- 24,637
- h-index
- 75
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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2001–2009
Degrees at Shandong and SJTU
He earns B.E. and M.E. degrees from Shandong University in 2001 and 2004, then a Ph.D. from Shanghai Jiao Tong University in 2009.
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2008–2009
Visiting student at McMaster
At McMaster University's Department of Electrical and Computer Engineering, he is a visiting student from 2008 to 2009.
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2010–2012
Postdoctoral fellow at McMaster
From 2010 to 2012, he is a postdoctoral fellow in McMaster University's Department of Electrical and Computer Engineering.
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2012–2013
A Humboldt fellowship in Germany
From 2012 to 2013, he holds a Humboldt Research Fellowship with the Institute of Multimedia Communication and Signal Processing at Friedrich Alexander University of Erlangen-Nuremberg.
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2020
A survey of visual quality
In 2020, he coauthors Perceptual image quality assessment: a survey with Xiongkuo Min.
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2025
An IEEE Fellowship
IEEE names him a 2025 Fellow for contributions to perceptual quality assessment and enhancement of visual media.
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2025
An fMRI study of image quality
In 2025, his team publishes a Patterns study that decodes image-quality information from fMRI signals and proposes multi-layer feature fusion for visual quality prediction. The approach improves image-quality assessment performance on ResNet by 14.29% on the BID dataset.
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As of October 2026
Professor and AI Lab scientist
In 2025, he is a Distinguished Professor at Shanghai Jiao Tong University and a Jointly Appointed Scientist at the Shanghai Artificial Intelligence Laboratory. As of October 2026, he is a distinguished professor of the Electronics Engineering Department at Shanghai Jiao Tong University, Editor-in-Chief of Displays, and chair of the Shanghai Image and Graphics Association. He serves on IEEE CASS's Multimedia Systems and Applications Technical Committee, and his research interests include multimedia signal processing and perceptual signal processing.
Career
- Since 2005Shanghai Jiao Tong UniversityDistinguished Professor
- NowShanghai Image and Graphics AssociationChair
- 2025–2026Shanghai Artificial Intelligence LaboratoryJointly Appointed Scientist
- 2023–2026Peng Cheng Laboratory
- 2012–2013Friedrich-Alexander-Universität Erlangen-NürnbergHumboldt Research Fellow
- 2011–2025Shanghai Key Laboratory of Digital Media Processing and Transmission
- 2008–2012McMaster UniversityVisiting Student, Postdoctoral Fellow
Education
- 2009Shanghai Jiao Tong UniversityPh.D.
- 2004Shandong UniversityB.E. and M.E.
Sources and credits
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- 18th ICSPS 2026|Signal Processing Systems 第十八届信号处理系统国际会议
- Rankless | Perceptual image quality assessment: a survey
- IEEE 2025新晋Fellow名单正式公布 – IEEE中国
- SJTU Professor Guangtao Zhai’s Team Reveals How the Human Brain “Fills In” Blurry Images
- Neural mechanisms of visual quality perception and adaptability in the visual pathway
- Guangtao Zhai | IEEE CASS
- ZHAI GUANGTAO--Home--Home
- Multimedia Systems and Applications (MSA) | IEEE CASS


