Kaiming He
Kaiming He studies computer vision and deep learning. His joint work includes ResNet, Mask R-CNN and masked autoencoders. He received his bachelor’s degree from Tsinghua in 2007 and his doctorate from the Chinese University of Hong Kong in 2011. He worked at Microsoft Research Asia from 2011 to 2016. He worked as a research scientist at Facebook AI Research from 2016 to 2024. His publication list includes shared work on visual recognition, object detection and self-supervised representation learning.
- Works
- 120
- Citations
- 553,703
- h-index
- 78
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2007–2011
Education and industrial research
He received his bachelor’s degree from Tsinghua in 2007 and his doctorate from the Chinese University of Hong Kong in 2011. He worked at Microsoft Research Asia from 2011 to 2016.
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2016–2024
Computer vision at FAIR
He worked as a research scientist at Facebook AI Research from 2016 to 2024. He coauthored work on visual recognition, object detection and self-supervised representation learning.
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2022
Masked autoencoders
He coauthored Masked Autoencoders Are Scalable Vision Learners with Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár and Ross Girshick. The CVPR paper explores learning visual representations through masked inputs.
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2024
Joining MIT
He joined MIT in 2024. He is a tenured EECS associate professor and a part-time distinguished scientist at Google DeepMind.
Sources and credits
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