Jiashi Feng
Also known as Feng Jia Shi
Jiashi Feng is a researcher in computer vision and deep learning, with papers that include Tokens-to-Token ViT and Coordinate Attention. He earned a B.E. at USTC and a doctorate at the National University of Singapore in 2014, then spent 2014 to 2015 at UC Berkeley. He later served as an assistant professor at NUS and as head of vision research at ByteDance. In August 2025 he announced his resignation from ByteDance's visual foundation research team, and heading that team is the most recent role confirmed for him. Conference awards at ACM MM and ICCV, and a place among MIT Technology Review's Innovators Under 35 Asia in 2018, mark his early career.
- Works
- 512
- Citations
- 55,549
- h-index
- 107
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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2007–2014
Degrees from USTC and NUS
He receives a B.E. from USTC in 2007 and a Ph.D. from NUS in 2014.
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2012–2018
Awards at ACM MM and ICCV
He receives the Best Technical Demo Award at ACM MM 2012, the Best Paper Award at TASK-CV ICCV 2015 and the Best Student Paper Award at ACM MM 2018.
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2014–2015
A postdoctorate at UC Berkeley
He spends 2014 to 2015 as a postdoctoral researcher at UC Berkeley.
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By 2018
An assistant professor at NUS
By 2018 he is an assistant professor in the Department of ECE at the National University of Singapore.
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2018
Innovators Under 35 Asia
MIT Technology Review names him one of its Innovators Under 35 Asia in 2018.
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2021
Tokens-to-Token ViT and Coordinate Attention
He coauthors Tokens-to-Token ViT at ICCV 2021 and Coordinate Attention for Efficient Mobile Network Design at CVPR 2021.
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February 2025
Head of vision research at ByteDance
In February 2025 he gives a seminar at PolyU as Head of Vision Research at ByteDance, and his research focuses on deep learning for computer vision.
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August 2025
Resigning from ByteDance
In August 2025 he announces his resignation as head of ByteDance's visual foundation research team.
Sources and credits
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- Jiashi Feng | Innovators Under 35
- Distinguished Seminar Series on Data Science & Artificial Intelligence - "Exploring Knowledge Learning from Video Generative Modeling" by Dr Jiashi FENG | Department of Computing
- Tokens-to-Token ViT: Training Vision Transformers From Scratch on ImageNet
- Coordinate Attention for Efficient Mobile Network Design
- TikTok AI Core Talent Attrition: Visual Research Head Feng Jia Shi Officially Resigns