Kaiming He
{{short description|Chinese-American computer scientist and professor}}
{{family name hatnote|He|lang=Chinese}}{{Western name order|He Kaiming}}{{Infobox scientist
| name = Kaiming He
| field = Computer Science
| awards =
| education = {{unbulleted list|Tsinghua University (BS, 2007)|Chinese University of Hong Kong (PhD, 2011)}}
| work_institutions = Microsoft Research Asia (2011–2016)
Facebook Artificial Intelligence Research (2016–2024)
Massachusetts Institute of Technology (2024–present)
| thesis_title = Single image haze removal using dark channel prior
| thesis_url = https://web.archive.org/web/20240828235443if_/https://kaiminghe.github.io/publications/thesis.pdf
| thesis_year = 2011
| doctoral_advisor = Tang Xiaoou
| website = {{URL|https://people.csail.mit.edu/kaiming}}
}}
Kaiming He ({{zh|s=何恺明|p=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).{{cite web | title=Kaiming He | website=MIT CSAIL | url=https://www.csail.mit.edu/person/kaiming-he | access-date=2024-03-13}}{{cite web | author=吴天一 | script-title=zh:AI科学家何恺明将从Facebook回归学界：明年起执教麻省理工学院 | website=The Paper | date=2023-07-31 | url=https://www.thepaper.cn/newsDetail_forward_24054548 | language=zh | access-date=2024-03-13}}
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.{{cite web | script-title=zh:广东省九个高考状元提前“掀盖头”(组图) | website= Sina Corporation | date=2003-06-27 | url=https://edu.sina.com.cn/l/2003-06-27/47288.html | language=zh | access-date=2024-03-13}} He then went to Tsinghua University, obtaining a BS degree in 2007. From 2007 to 2011, he pursued a PhD in information engineering at the Chinese University of Hong Kong in its Multimedia Laboratory.{{cite web | title=Alumni | website=Multimedia Laboratory | date=2019-01-23 | url=https://mmlab.ie.cuhk.edu.hk/alumni.html | access-date=2024-03-13}} His thesis, Single Image Haze Removal Using Dark Channel Prior, was completed in August 2011 under the supervision of Tang Xiaoou.{{cite thesis | last=He | first=Kaiming | title=Single Image Haze Removal Using Dark Channel Prior | date=2011 | url=https://kaiminghe.github.io/publications/thesis.pdf | degree=PhD | access-date=2024-03-12 }}
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.{{cite web | title=Kaiming He | website=Github Pages | url=https://kaiminghe.github.io/ | language=zh | access-date=2024-03-13}}
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.{{cite web | last=Crew | first=Bec | title=Google Scholar reveals its most influential papers for 2020 | website=Nature Index | date=2020-07-13 | url=https://www.nature.com/nature-index/news/google-scholar-reveals-most-influential-papers-research-citations-twenty-twenty | access-date=2024-03-13}}{{cite web | last=Crew | first=Bec | title=Google Scholar reveals its most influential papers for 2021 | website=Nature Index | date=2021-08-24 | url=https://www.nature.com/nature-index/news/google-scholar-reveals-most-influential-papers-research-citations-twenty-twenty-one | access-date=2024-03-13}}
Awards and recognitions
He won ICCV's best paper award (Marr Prize) in 2017 and CVPR's best paper award in 2009 and 2016.{{cite web | title=Computer Vision Awards | website=The Computer Vision Foundation | url=https://www.thecvf.com/?page_id=413 | access-date=2024-03-13}}
He was awarded the 2023 Future Science Prize along with 3 collaborators for "fundamental contribution to artificial intelligence by introducing deep residual learning".{{cite journal | title=Future Science Prize 2023 | website=Nature | date=2023-12-27 | url=https://www.nature.com/articles/d42473-023-00432-x | access-date=2024-03-13}}
References
External links
- [https://kaiminghe.github.io/ Home page]
- {{Google Scholar id|DhtAFkwAAAAJ}}
{{Authority control}}
{{DEFAULTSORT:He, Kaiming}}
Category:Massachusetts Institute of Technology faculty
Category:Year of birth missing (living people)
Category:Tsinghua University alumni
Category:Alumni of the Chinese University of Hong Kong