Xi'an Jiaotong University
Qi YinChairman · StepFun AIFounder↗
Researcher · Founder
Xiangyu Zhang
StepFun AICo-founder and Chief Scientist
Zhang helped make powerful computer vision practical at both large and small scales. He co-authored ResNet, which made much deeper image-recognition networks easier to train,[1] and ShuffleNet, which reduced the computing needed for visual recognition on phones and other devices with limited processing power.[2]
Career & education
Current roleStepFun AI2023-presentCo-founder and Chief Scientist
StepFun AI2023-presentPreviously
Megvii2017-?Principal Scientist
Megvii2017-?Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations483,758As of Nov 1, '26
citations+6,897Since last snapshot, Oct 1, '26
Selected contributions
Deep Residual Learning for Image Recognition
ResNet, an image-recognition network, uses shortcuts between layers to make much deeper networks easier to train.
References
- Deep Residual Learning for Image Recognitionarxiv.org
He co-authored ResNet, which made much deeper image-recognition networks easier to train,
- ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devicesarxiv.org
and ShuffleNet, which reduced the computing needed for visual recognition on phones and other devices with limited processing power.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
