Introduction
Kaiming He (Chinese: 何恺明; pinyin: Hé Kǎimíng) is a Chinese computer scientist who primarily researches computer vision and deep learning. He is an associate professor at Massachusetts Institute of Technology and is known as one of the creators of residual neural network (ResNet).
Early life and education
He went to Zhixin High School in Guangzhou, China and was one of few students who scored first place in the 2003 Gaokao (China's college entrance exam) in Guangdong province. He then went to Tsinghua University, obtaining a BS degree in 2007. From 2007 to 2011, he pursued a PhD at The Chinese University of Hong Kong in its Multimedia Laboratory. His thesis, Single Image Haze Removal Using Dark Channel Prior, was completed in August 2011 under the supervision of Tang Xiaoou.
Career
He started working for Microsoft Research Asia in 2011 and left in 2016 to join Facebook Artificial Intelligence Research, where he worked as a research scientist until 2024. In 2024, he became an associate professor at Massachusetts Institute of Technology's Department of Electrical Engineering and Computer Science.
His 2016 paper Deep Residual Learning for Image Recognition is the most cited research paper in 5 years according to Google Scholar's reports in 2020 and 2021.
Awards and recognitions
He won ICCV's best paper award (Marr Prize) in 2017 and CVPR's best paper award in 2009 and 2016.
He was awarded the 2023 Future Science Prize along with 3 collaborators for "fundamental contribution to artificial intelligence by introducing deep residual learning".