Fei-Fei Li

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Fei-Fei Li
Born1976 (age 42–43)[1]
ResidenceUnited States
NationalityAmerican
Alma materPrinceton University (B.A. in Physics)
California Institute of Technology (2005, PhD)
Known forComputer vision
Machine learning
Artificial intelligence
Cognitive neuroscience
AwardsPaul and Daisy Soros Fellowship for New Americans (1999), Microsoft Research New Faculty Fellowship (2006), Sloan Fellowship (2011), J.K. Aggarwal Prize, International Association for Pattern Recognition (IAPR) (2016), One of the 40 “The great immigrants,” Carnegie Foundation (2016), ACM Fellow for "contributions in building large knowledge bases for machine learning and visual understanding" (2018)
Scientific career
FieldsComputer Science
InstitutionsStanford University Google
ThesisVisual Recognition: Computational Models and Human Psychophysics (2005)
Doctoral advisorPietro Perona
Christof Koch

Fei-Fei Li (born 1976), who also publishes under the name Li Fei-Fei (simplified Chinese: 李飞飞; traditional Chinese: 李飛飛), is a Professor of Computer Science at Stanford University. She is currently the Co-Director of Stanford University's Human-Centered AI Institute and the Stanford Vision and Learning Lab. She served as the director of the Stanford Artificial Intelligence Lab (SAIL)[2] from 2013 to 2018. In 2017, she co-founded AI4ALL, a nonprofit organization working to increase diversity and inclusion in the field of artificial intelligence. [3][4] Her research expertise includes artificial intelligence (AI), machine learning, deep learning, computer vision and cognitive neuroscience.[5] Li is one of the most prolific researchers in the field of AI. She was the leading scientist and principal investigator of ImageNet, a critical dataset and computer vision project that resulted in the recent deep learning revolution. [6]

Education[edit]

Li immigrated from China with her family and settled in Parsippany-Troy Hills, New Jersey. She graduated from Parsippany High School in 1995, [7][8] where she was inducted to the Hall of Fame of Parsippany High School in 2017.[9] She obtained her B.S. degree in physics from Princeton University in 1999 with High Honors. Her PhD degree is in electrical engineering from California Institute of Technology (Caltech) in 2005. Her primary PhD supervisor was Pietro Perona, and secondary supervisor Christof Koch, both faculty at Caltech at the time of her study. Her graduate studies were supported by the National Science Foundation Graduate Research Fellowship and The Paul & Daisy Soros Fellowships for New Americans. [10]

Career[edit]

From 2005 to August 2009, Li 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, and then full professor in 2017. [11] At Stanford, Li served as the Director of Stanford Artificial Intelligence Lab (SAIL) from 2013 to 2018, overseeing the fastest growth of the lab during this period. She became the founding Co-Director of Stanford’s University-level initiative - the Human-Centered AI Institute, along with Co-Director Dr. John Etchemendy, former Provost of Stanford University[12].

On her sabbatical from Stanford University from January 2017 the fall of 2018, Li joined Google Cloud as its Chief Scientist of AI/ML and Vice President. [13]At Google, her team focuses on democratizing AI technology and lowering the barrier for entrance to businesses and developers [14], including the developments of products like AutoML. [15][16] She returned to Stanford University to continue her professorship in the fall of 2018. [17]

Li is also known for her nonprofit work as the Co-Founder and Chairperson of nonprofit organization AI4ALL, whose mission is to educate the next generation of AI technologists, thinkers and leaders by promoting diversity and inclusion through human-centered AI principles. [18][19][20][21] Prior’s establishing AI4ALL in 2017, Li and her former student Olga Russakovsky, [22] currently an assistant professor in Princeton University, co-founded and co-directed the precursor program at Stanford called SAILORS (Stanford AI Lab OutReach Summers). [23][24] SAILORS was an annual summer camp at Stanford dedicated to 9th grade high school girls in AI education and research, established in 2015 till it changed its name to AI4ALL @Stanford in 2017. [25] In 2018, AI4ALL has successfully launched five more summer programs in addition to Stanford, including Princeton University[26], Carnegie Mellon University[27], Boston University[28], U. of California Berkeley[29], and Canada’s Simon Fraser University[30].

Research[edit]

Li works on AI, machine learning, computer vision, cognitive neuroscience and computational neuroscience. She has published nearly 180 peer-reviewed research papers. [31] Her work appears in computer science and neuroscience journals including Nature,[32] Proceedings of the National Academy of Sciences, [33] Journal of Neuroscience,[34] 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, and IEEE Transactions on Pattern Analysis and Machine Intelligence.[35] She has been described as an AI pioneer and researcher bringing "humanity to AI".[36]

Among her best-known work is the ImageNet project, which has revolutionized the field of large-scale visual recognition.[1][37][38][39][40]

Li has led the team of students and collaborators to organize the international competition on ImageNet recognition tasks called ImageNet Large-Scale Visual Recognition Challenge (ILSVRC) between 2010 to 2017 in the academic community. [41] “Many see it as the catalyst for the AI boom the world is experiencing today”, according to a recent article by Quartz. [42]

Li’s research in computer vision contributed significantly to a line of work called Natural Scene Understanding, or later, Story-telling of images. [43] She is a recognized for her work in this area by the International Association for Pattern Recognition in 2016. [44] She delivered a talk on the main stage of TED in Vancouver in 2015, and has since then been viewed more than 2 million times. [45]

In recent years, Fei-Fei Li’s research work expanded to AI and Healthcare, collaborating closely with Prof. Arnold Milstein[46] at Stanford, a recognized national leader working in improving healthcare delivery. [47]

Selected honors and distinctions[edit]

  • 1999 Paul and Daisy Soros Fellowship for New Americans [48]
  • 2006 Microsoft Research New Faculty Fellowship [49]
  • 2009 NSF CAREER Award [50]
  • 2010 Best Paper Honorable Mention, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) [51]
  • 2011 Fellow, Alfred P. Sloan Fellowship [52]
  • 2015 One of the Leading Global Thinkers of 2015, Foreign Policy [53]
  • 2016 IEEE PAMI Mark Everingham Prize [reference link][54]
  • 2016 J.K. Aggarwal Prize, International Association for Pattern Recognition (IAPR) [55]
  • 2016 One of the 40 “The great immigrants,” Carnegie Foundation [56][57]
  • 2017 WITI@UC Athena Award for Academic Leadership, University of California [58]
  • 2017 One of Seven Women in Technology honorees, Elle Magazine [59]
  • 2018 Elected as ACM Fellow for "contributions in building large knowledge bases for machine learning and visual understanding"[60]
  • 2018 "America's Top 50 Women In Tech" by Forbes[61]
  • 2018 U.S. Congressional hearing by Subcommittee on Research and Technology & Subcommittee on Energy [62]

Books[edit]

Li contributed one chapter to Architects of Intelligence: The Truth About AI from the People Building it (2018) by the American futurist Martin Ford.[63]

References[edit]

  1. ^ a b Markoff, John (November 19, 2012). "Seeking a Better Way to Find Web Images". The New York Times. Dr. Li, 36
  2. ^ "Stanford Artificial Intelligence Laboratory -".
  3. ^ "Melinda Gates and Fei-Fei Li Want to Liberate AI from "Guys With Hoodies"". WIRED. Retrieved 2018-04-16.
  4. ^ "AI4ALL - Official Website". ai-4-all.org. Retrieved 2018-04-16.
  5. ^ "Fei-Fei Li Ph.D. - Professor, Stanford University".
  6. ^ "The data that transformed AI research—and possibly the world".
  7. ^ Hempel, Jessi. "Fei-Fei Li's Quest To Make Ai Better For Humanity". Wired. Retrieved December 5, 2018.
  8. ^ "Press release" (PDF). phs.pthsd.k12.nj.us.
  9. ^ "Parsippany High School to induct members to hall of fame".
  10. ^ "Fei-Fei Li, 1999".
  11. ^ "Fei-Fei Li's Profile | Stanford Profiles". profiles.stanford.edu. Retrieved 2018-12-27.
  12. ^ "Human-Centered AI". hai.stanford.edu. Retrieved 2018-12-27.
  13. ^ "Google Hires Two Artificial Intelligence Experts To Lead Machine Learning Team". Fortune. Retrieved 2018-12-27.
  14. ^ "Google Cloud Next '17 data, analytics and machine learning session video now online". Google Cloud Blog. Retrieved 2018-12-27.
  15. ^ "Cloud AutoML: Making AI accessible to every business". Google Cloud Blog. Retrieved 2018-12-27.
  16. ^ "Empowering businesses and developers to do more with AI". Google. 2018-07-24. Retrieved 2018-12-27.
  17. ^ "Google Cloud AI: Andrew Moore joining Google Cloud; Fei-Fei Li becoming advisor". Google Cloud Blog. Retrieved 2018-12-27.
  18. ^ Hempel, Jessi (2017-05-04). "Melinda Gates and Fei-Fei Li Want to Liberate AI from "Guys With Hoodies"". Wired. ISSN 1059-1028. Retrieved 2018-12-27.
  19. ^ "Artificial intelligence has a racial bias problem. Google is funding summer camps to try to change that". USA TODAY. Retrieved 2018-12-27.
  20. ^ "AI4All, created by Google Cloud's Fei-Fei Li, is pairing tech workers and high school students on AI projects". VentureBeat. 2018-02-03. Retrieved 2018-12-27.
  21. ^ Herold, Benjamin (2017-09-27). "Preparing Students for Tomorrow's Jobs: 10 Experts Offer Advice to Educators - Education Week". Education Week. Retrieved 2018-12-27.
  22. ^ "Olga Russakovsky". www.cs.princeton.edu. Retrieved 2018-12-27.
  23. ^ Alba, Davey (2015-08-31). "This Girls' Summer Camp Could Help Change the World of AI". Wired. ISSN 1059-1028. Retrieved 2018-12-27.
  24. ^ "Welcome to Stanford AI4ALL | Stanford AI4ALL". ai4all.stanford.edu. Retrieved 2018-12-27.
  25. ^ "Welcome to Stanford AI4ALL | Stanford AI4ALL". ai4all.stanford.edu. Retrieved 2018-12-27.
  26. ^ "AI will change the world. Who will change AI? | Princeton AI4ALL". ai4all.princeton.edu. Retrieved 2018-12-27.
  27. ^ "Pre-College Artificial Intelligence | Carnegie Mellon". admission.enrollment.cmu.edu. Retrieved 2018-12-27.
  28. ^ "AI4ALL". www.bu.edu. Retrieved 2018-12-27.
  29. ^ "home". bair.berkeley.edu. Retrieved 2018-12-27.
  30. ^ "Invent the Future - Simon Fraser University". www.sfu.ca. Retrieved 2018-12-27.
  31. ^ "Li Fei-Fei - Google Scholar Citations". scholar.google.com. Retrieved 2018-12-27.
  32. ^ Peelen, Marius V.; Fei-Fei, Li; Kastner, Sabine (2002). "Neural mechanisms of rapid natural scene categorization in human visual cortex". Nature. 460: 94–97. doi:10.1038/nature08103. PMC 2752739. PMID 19506558.
  33. ^ Fei-Fei, Li; VanRullen, Rufin; Koch, Christof; Perona, Pietro (2002). "Rapid natural scene categorization in the near absence of attention".
  34. ^ Stanley, Garrett B; Fei-Fei, Li; Dan, Yang (1999). "Reconstruction of natural scenes from ensemble responses in the lateral geniculate nucleus". Journal of Neuroscience.
  35. ^ "Stanford Computer Vision Lab : Publications". vision.stanford.edu.
  36. ^ "An AI Pioneer, and the Researcher Bringing Humanity to AI". WIRED. Retrieved 2018-10-25.
  37. ^ Markoff, John (August 18, 2014). "Computer Eyesight Gets a Lot More Accurate". The New York Times.
  38. ^ "imagenet 2014 « Deep Learning". Deeplearning.net. 2014-09-19. Retrieved 2018-12-05.
  39. ^ Deng, Jia; Dong, Wei; Socher, Richard; Li, Li-Jia; Li, Kai; Fei-Fei, Li (2009). "Imagenet: A large-scale hierarchical image database". CVPR.
  40. ^ "ImageNet". image-net.org.
  41. ^ "ImageNet Large Scale Visual Recognition Challenge" (PDF).
  42. ^ Gershgorn, Dave; Gershgorn, Dave. "The data that transformed AI research—and possibly the world". Quartz. Retrieved 2018-12-27.
  43. ^ Markoff, John (2014-11-17). "Researchers Announce Advance in Image-Recognition Software". The New York Times. ISSN 0362-4331. Retrieved 2018-12-27.
  44. ^ "IAPR - IAPR Awards". www.iapr.org. Retrieved 2018-12-27.
  45. ^ "IAPR - IAPR Awards". www.iapr.org. Retrieved 2018-12-27.
  46. ^ "Arnold Milstein's Profile | Stanford Profiles". profiles.stanford.edu. Retrieved 2018-12-27.
  47. ^ "Home | Stanford Partnership in AI-Assisted Care (PAC)". aicare.stanford.edu. Retrieved 2018-12-27.
  48. ^ "Meet the Fellows | Fei-Fei Li". www.pdsoros.org. Retrieved 2018-12-27.
  49. ^ "Microsoft Research Recognizes Computer Science's Most Promising Professors With New Faculty Fellowships". Stories. 2006-04-26. Retrieved 2018-12-27.
  50. ^ "NSF Award Search: Award#0845230 - CAREER: Telling the Story of a Visual World: Event Classification and Integrated Image Understanding". www.nsf.gov. Retrieved 2018-12-27.
  51. ^ "CVPR 2010: IEEE Conference on Computer Vision and Pattern Recognition". tab.computer.org. Retrieved 2018-12-27.
  52. ^ "Past Fellows". sloan.org. Retrieved 2018-12-27.
  53. ^ "The Leading Global Thinkers of 2015 - Foreign Policy". 2015globalthinkers.foreignpolicy.com. Retrieved 2018-12-27.
  54. ^ "Mark Everingham Prize • IEEE Computer Society". www.computer.org. Retrieved 2018-12-27.
  55. ^ "IAPR - IAPR Awards". www.iapr.org. Retrieved 2018-12-27.
  56. ^ "The Great Immigrants".
  57. ^ Blanco, Octavio (2016-07-21). "One immigrant's path from cleaning houses to Stanford professor". CNNMoney. Retrieved 2018-12-27.
  58. ^ "Athena Awards cap Women in Tech symposium". CITRIS and the Banatao Institute. 2017-11-07. Retrieved 2018-12-27.
  59. ^ Langmuir, Molly (2017-07-12). "ELLE's 2017 Women in Tech: Star Tech Voyagers". ELLE. Retrieved 2018-12-27.
  60. ^ 2018 ACM Fellows Honored for Pivotal Achievements that Underpin the Digital Age, Association for Computing Machinery, December 5, 2018
  61. ^ "Fei-Fei Li". Forbes.
  62. ^ "Subcommittee on Research and Technology and Subcommittee on Energy Hearing - Artificial Intelligence – With Great Power Comes Great Responsibility". Committee on Science, Space, and Technology. 2018-06-26. Retrieved 2018-12-27.
  63. ^ Falcon, William (November 30, 2018). "This Is The Future Of AI According To 23 World-Leading AI Experts". Forbes. Retrieved March 20, 2019.

External links[edit]