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Jian Sun portrait

Researcher

Jian Sun

1976–2022

🇨🇳 ChineseLifespan 1976–2022

Sun helped lead Microsoft Research Asia’s work on ResNet, which made deeper image-recognition models practical, and Faster R-CNN, which sped up finding objects in images. He mentored a generation of computer-vision researchers and joined Megvii in 2016 as chief scientist and dean of its research institute. He died in June 2022 at age 45.[1]

Career & education

Previously
2016-2022
Chief Scientist and Dean of Megvii Research
2015-2016
Principal Research Manager, Microsoft Partner
2003-2015
Researcher -> Principal Research Manager
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.
11 snapshots
Citation history from Aug 25, '25 to Oct 1, '26793,800730,483667,165Aug 252025Apr 152026Jul 12026Oct 12026
citations793,800As of Oct 1, '26
citations+9,238Since last snapshot, Sep 1, '26
For today’s citation count and per work, visit Google Scholar.

Selected contributions

  • Paper2016

    Deep Residual Learning for Image Recognition

    With Kaiming He, Xiangyu Zhang and Shaoqing Ren

    Introduced ResNet, using shortcut connections between layers to make much deeper neural networks easier to train, improving their ability to recognize objects in images accurately.

    Read paper
  • Paper2015

    Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

    With Shaoqing Ren, Kaiming He and Ross Girshick

    Made object detection faster by teaching a neural network where to look, sharing image processing between finding likely objects and identifying what those objects are.

    Read paper

References

  1. CVPR 2022: Jian Sun memorialcvpr2022.thecvf.com

    Memorial slide 50 gives 30 October 1976–14 June 2022, supporting age 45.

About this profile

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Reviewed July 19, 2026 · Checked for accuracy and new information.

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