何恺明Kaiming He
MIT / Google DeepMind
ResNet 创造者 · 21世纪引用最多的论文Creator of ResNet · Most-cited 21st Century Paper
deep-learningvision
1984年生于广州。执信中学，2003年广东高考总分第一。清华学士，港中文博士。在微软亚研提出 ResNet（2015），21 世纪引用最多的论文之一。还创造了 Mask R-CNN。2024年加入 MIT 副教授，2025年同时加入 Google DeepMind。
Born 1984 in Guangzhou, Guangdong, China. Attended Guangzhou Zhixin High School, where he scored first place in the entire Guangdong province on the 2003 college entrance exam. Earned a BS from Tsinghua University (2007), then a PhD in Information Engineering from the Chinese University of Hong Kong (2011, Multimedia Lab), with a thesis on image dehazing. Joined Microsoft Research Asia (MSRA) as a research scientist, where he created ResNet (Residual Networks, 2015) -- the paper 'Deep Residual Learning for Image Recognition' is the most-cited paper of the 21st century. ResNet's skip connections solved the vanishing gradient problem and enabled training of networks with 100+ layers. Also co-created Mask R-CNN for instance segmentation. Moved to Facebook AI Research (FAIR). Joined MIT as associate professor (2024), appointed Douglas Ross Career Development Professor. In 2025, also joined Google DeepMind while retaining MIT tenure, pursuing a dual academia + industry path.
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