是金子就会发光: fei_fei_li, 小中女，16岁来美, 读了博士, 现在stanford CS 教授

https://www.ted.com/talks/fei_fei_li_how_we_re_teaching_computers_to_understand_pictures#t-53105


http://www.cs.princeton.edu/~feifeili/Bio.htm


"Prof. Fei-Fei Li's husband is Prof. Silvio Savarese who directs the Computational Vision and Geometry Lab at Stanford University. They have a son. Jump up ^ Peelen, Marius V.; Fei-Fei, Li; Kastner, Sabine (2002)."

from wiki:

She obtained her B.A. degree in physics from Princeton University in 1999 with High Honors. Her PhD degree is in electrical engineering from California Institute of Technology in 2005. From 2005 to August 2009, she was an assistant professor in the Electrical and Computer Engineering Department at University of Illinois Urbana-Champaign and Computer Science Department at Princeton University, respectively. She joined Stanford in 2009 as an assistant professor, and was promoted to associate professor with tenure in 2012.

Research[edit]

Prof. Fei-Fei Li is an expert in machine learning, computer vision, cognitive neuroscience and computational neuroscience, and Big Data analysis. She publishes under the name Li Fei-Fei. She has authored more than 100 scientific articles.^[4] Her work appears in top-tier computer science and neuroscience journals and conferences, including Nature (journal) ,^[5] Proceedings of the National Academy of Sciences, ^[6] Journal of Neuroscience ,^[7] Conference on Computer Vision and Pattern Recognition, International Conference on Computer Vision, Conference on Neural Information Processing Systems, European Conference on Computer Vision, International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, and many others.^[8]

Among her best-known work is the ImageNet project, which has revolutionized the field of large-scale visual recognition .^{[9][10][11][12][13]}

Dr. Fei-Fei Li is a recipient of the 2014 IBM Faculty Fellow Award, 2011 Alfred Sloan Faculty Award, 2012 Yahoo Labs FREP award, 2009 NSF CAREER award, the 2006 Microsoft Research New Faculty Fellowship,^[14] and several Google Research awards. She has been featured in internationally renowned media venues such as New York Times ,^[15] Science magazine ,^[16] and many others. She gave a TED talk titled "How we're teaching computers to understand pictures" in March 2015.^[17]