Researcher · Executive
Shaoqing Ren
University of Science and Technology of ChinaEndowed Chair Professor
NIOSenior Vice President, Autonomous Driving
Ren was the lead author of Faster R-CNN, which made accurate object detection much faster, and co-authored ResNet, whose design enabled far deeper vision systems. Both became foundations for later image recognition and detection work; he now brings that expertise to autonomous driving at NIO.
Career & education
University of Science and Technology of ChinaSep 2025-presentNIOAug 2020-presentWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Selected contributions
Deep Residual Learning for Image Recognition
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.
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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.
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Reviewed August 8, 2026 · Checked for accuracy and new information.