Biography:Fei-Fei Li

From HandWiki
Short description: Chinese American computer scientist (born 1976)
The native form of this personal name is Lǐ Fēifēi. This article uses Western name order when mentioning individuals.
Fei-Fei Li
Fei-Fei Li at AI for Good 2017.jpg
Li at AI for Good in 2017
Born1976 (age 47–48)[1]
Beijing, China
NationalityAmerican
Alma mater
Known for
Awards
  • Elected to National Academy of Engineering (2020)
  • National Academy of Medicine (2020)
  • American Academy of Arts and Sciences (2021)
  • ACM Fellow (2018)
Scientific career
FieldsArtificial Intelligence
Machine Learning
Computer Vision
Neuroscience[2]
Institutions
ThesisVisual Recognition: Computational Models and Human Psychophysics (2005)
Doctoral advisor
Doctoral students
Website{{{1}}}

Fei-Fei Li (李飞飞; born 1976) is a China-born American computer scientist, known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s.[4][5][6][7] She is Sequoia Capital professor of computer science at Stanford University and former board director at Twitter.[8] Li is a co-director of the Stanford Institute for Human-Centered Artificial Intelligence and a co-director of the Stanford Vision and Learning Lab.[9][10] She served as the director of the Stanford Artificial Intelligence Laboratory from 2013 to 2018.[11][12][13]

In 2017, she co-founded AI4ALL, a nonprofit organization working to increase diversity and inclusion in the field of artificial intelligence.[14][15] Her research expertise includes artificial intelligence, machine learning, deep learning, computer vision and cognitive neuroscience.[16]

Li was elected as a member of the National Academy of Engineering in 2020, of the National Academy of Medicine in 2020, and of the American Academy of Arts and Sciences in 2021.

Early life and education

Li was born in Beijing, China in 1976 and grew up in Chengdu, Sichuan. When she was 12, her father moved to the United States; when she was 15, she and her mother joined him in Parsippany–Troy Hills, New Jersey.[17] She graduated from Parsippany High School in 1995.[17][18] (She was inducted to the Hall of Fame of Parsippany High School in 2017.)[19]

Li majored in physics but also studied computer science and engineering as an undergraduate student at Princeton University, from which she graduated with high honors with a Bachelor of Arts with a major in physics and certificates in applied and computational mathematics and engineering physics in 1999.[20] Li completed her senior thesis, titled "Auditory Binaural Correlogram Difference: A New Computational Model for Huggins Dichotic Pitch," under the supervision of Professor of Electrical Engineering Bradley Dickinson.[21] During her years at Princeton, she returned home most weekends so that she could work in her parents' dry-cleaning store.[17]

Li then pursued graduate studies at the California Institute of Technology, where she received a Doctor of Philosophy in electrical engineering in 2005. Li completed her dissertation, titled "Visual Recognition: Computational Models and Human Psychophysics," under the primary supervision of Pietro Perona and secondary supervision of Christof Koch. Her graduate studies were supported by the National Science Foundation Graduate Research Fellowship and The Paul & Daisy Soros Fellowships for New Americans.[22]

Career and research

From 2005 to 2006, Li was an assistant professor in the Electrical and Computer Engineering Department at the University of Illinois Urbana-Champaign, and from 2007 to 2009, she was an assistant professor in the Computer Science Department at Princeton University. She joined Stanford in 2009 as an assistant professor, and was promoted to associate professor with tenure in 2012, and then full professor in 2018.[23] At Stanford, Li served as the director of Stanford Artificial Intelligence Lab (SAIL) from 2013 to 2018. 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.[24]

On her sabbatical from Stanford University from January 2017 to fall of 2018, Li joined Google Cloud as its Chief Scientist of AI/ML and Vice President.[25] At Google, her team focused on democratizing AI technology and lowering the barrier for entrance to businesses and developers,[26] including the developments of products like AutoML.[27][28]

In September 2017, Google secured a contract from the Department of Defense called Project Maven, which aimed to use AI techniques to interpret images captured by drone cameras.[29][30] Google told employees who protested the company's work on Project Maven that their role was "specifically scoped to be for non-offensive purposes."[31] In June 2018, Google told employees it would not seek renewal of the contract.[30] In internal emails which were later leaked to reporters, Li expressed enthusiasm for the Google Cloud role in Project Maven, but warned against mentioning its AI component, saying that military AI is linked in the public mind with the danger of autonomous weapons. Asked about those leaked emails, Li told The New York Times, "I believe in human-centered AI to benefit people in positive and benevolent ways. It is deeply against my principles to work on any project that I think is to weaponize AI."[32]

In the fall of 2018, Li left Google and returned to Stanford University to continue her professorship.[33]

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.[34][35][36][37][38] The program was created in collaboration with Melinda French Gates and Jensen Huang.[39][40]

Prior to establishing AI4ALL in 2017, Li and her former student Olga Russakovsky,[41] currently an assistant professor in Princeton University, co-founded and co-directed the precursor program at Stanford called SAILORS (Stanford AI Lab OutReach Summers).[42][43] 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.[43] In 2018, AI4ALL has successfully launched five more summer programs in addition to Stanford, including Princeton University,[44] Carnegie Mellon University,[45] Boston University,[46] U. of California Berkeley,[47] and Canada's Simon Fraser University.[48]

We are at a turning point. AI’s influence continues to grow, but representation and inclusion of a diversity of researchers in the field does not. It’s critical that we seize this moment to create structures that will support long-term, positive changes. This won’t happen via a single mechanism or quick fix. It starts with early education and extends to the existing structures of power within academia, work cultures among current AI researchers, and gatekeeping functions of research publishing, to name a few levers of change.

Li has been described as a "researcher bringing humanity to AI."[49]

Li was elected as a member of the American Academy of Arts and Sciences in 2021,[50] the National Academy of Engineering in 2020,[51] and the National Academy of Medicine in 2020.[52]

In May 2020, Li joined the board of directors of Twitter as an independent director.[53] On October 27, 2022, following Elon Musk’s purchase of the company, he removed Li and eight others from Twitter's nine-member board of directors, leaving himself as the sole director.[54][55]

Research

Li works on artificial intelligence, machine learning, computer vision, cognitive neuroscience, and computational neuroscience. She has published more than 300 peer-reviewed research papers.[2] Her work appears in computer science and neuroscience journals including Nature,[56] Proceedings of the National Academy of Sciences,[57] Journal of Neuroscience,[58] 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.[59] Among her best-known work is the ImageNet project, which has revolutionized the field of large-scale visual recognition.[1][60][61][62][63]

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 and 2017 in the academic community.[64]

Li's research in computer vision contributed to a line of work called Natural Scene Understanding, or later, story-telling of images.[65] She was recognized for her work in this area by the International Association for Pattern Recognition in 2016.[66] 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.[66]

In recent years, Fei-Fei Li's research work expanded to artificial intelligence in healthcare, collaborating closely with Stanford University School of Medicine professor Arnold Milstein.[67] She has also worked on improving bias in image recognition, for instance by removing concepts with low imageability from ImageNet.[68]

Teaching

She teaches the Stanford course CS231n on "Deep Learning for Computer Vision,"[69] whose 2015 version was previously online at Coursera.[70] She has also taught CS131, an introductory class on computer vision.[71]

Selected honors and awards

  • 1999 Paul and Daisy Soros Fellowship for New Americans[72]
  • 2006 Microsoft Research New Faculty Fellowship [73]
  • 2009 NSF CAREER Award [74]
  • 2010 Best Paper Honorable Mention, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) [75]
  • 2011 Fellow, Alfred P. Sloan Fellowship[76]
  • 2015 One of the Leading Global Thinkers of 2015, Foreign Policy [77]
  • 2016 IEEE PAMI Mark Everingham Prize [reference link][78]
  • 2016 J.K. Aggarwal Prize, International Association for Pattern Recognition (IAPR) [66]
  • 2016 One of the 40 “The great immigrants,” Carnegie Foundation [79][80]
  • 2017 WITI@UC Athena Award for Academic Leadership, University of California [81]
  • 2017 One of Seven Women in Technology honorees, Elle Magazine [82]
  • 2018 Elected as ACM Fellow for "contributions in building large knowledge bases for machine learning and visual understanding"[83]
  • 2018 "America's Top 50 Women In Tech" by Forbes [84]
  • 2018 U.S. Congressional hearing by Subcommittee on Research and Technology & Subcommittee on Energy [85]
  • 2019 Technical Leadership Abie Award Winner, AnitaB.org[86]
  • 2019 She was recognized as one of the BBC's 100 women.[87]
  • 2020 Elected member of the National Academy of Engineering[88]
  • 2020 Elected member of the National Academy of Medicine[89]
  • 2020 Distinguished Alumni Award Winner of California Institute of Technology[90]
  • 2020 Member of the Council on Foreign Relations (CFR) [91]
  • 2021 ACM Fellow[92]
  • 2021 Elected member of the American Academy of Arts and Sciences[93]
  • 2022 Thomas S. Huang Memorial Prize,[94] IEEE PAMI
  • 2023 Intel Lifetime Achievements Innovation Award[95]
  • 2023 Time AI100[96]
  • 2024 Woodrow Wilson Award,[97] Princeton

Books

Li contributed one chapter to Architects of Intelligence: The Truth About AI from the People Building it (2018) by the American futurist Martin Ford.[98] In 2023, Li wrote and published a memoir, The Worlds I See, which explores her life path and the state of artificial intelligence.[99][100]

References

  1. ↑ 1.0 1.1 Markoff, John (November 19, 2012). "Seeking a Better Way to Find Web Images". The New York Times. https://www.nytimes.com/2012/11/20/science/for-web-images-creating-new-technology-to-seek-and-find.html. "Dr. Li, 36" 
  2. ↑ 2.0 2.1 {{Google Scholar id}} template missing ID and not present in Wikidata.
  3. ↑ Karpathy, Andrej (2016). Connecting Images and Natural Language. stanford.edu (PhD thesis). Stanford University.
  4. ↑ Gershgorn, Dave (July 26, 2017). "Investment in the Technology". https://hai.stanford.edu/news/godmother-ai-calls-us-moonshot-investment-technology. 
  5. ↑ Hempel, Jessi. "Fei-Fei Li's Quest to Make Machines Better for Humanity" (in en-US). Wired. ISSN 1059-1028. https://www.wired.com/story/fei-fei-li-artificial-intelligence-humanity/. Retrieved 2023-01-10. 
  6. ↑ "ImageNet: Where Have We Gone? Where Are We Going? with Fei-Fei Li" (in en). https://learning.acm.org/pagenotfound. 
  7. ↑ Jaton, Florian (2020). The constitution of algorithms : ground-truthing, programming, formulating. Geoffrey C. Bowker. Cambridge, Massachusetts. pp. 272. ISBN 978-0-262-36323-5. OCLC 1202407378. https://www.worldcat.org/oclc/1202407378. 
  8. ↑ "Profiles: Fei-Fei Li". https://profiles.stanford.edu/fei-fei-li. 
  9. ↑ "Leadership". https://hai.stanford.edu/leadership. 
  10. ↑ "Stanford Vision and Learning Lab (SVL)". http://svl.stanford.edu/. 
  11. ↑ "Home". https://ai.stanford.edu/. 
  12. ↑ {{TED speaker}} template missing ID and not present in Wikidata.
  13. ↑ Appearances on C-SPAN
  14. ↑ "Melinda Gates and Fei-Fei Li Want to Liberate AI from "Guys With Hoodies"" (in en-US). WIRED. https://www.wired.com/2017/05/melinda-gates-and-fei-fei-li-want-to-liberate-ai-from-guys-with-hoodies/. Retrieved 2018-04-16. 
  15. ↑ "AI4ALL - Official Website" (in en). http://ai-4-all.org. 
  16. ↑ "Fei-Fei Li Ph.D. - Professor, Stanford University". http://vision.stanford.edu/feifeili/. 
  17. ↑ 17.0 17.1 17.2 Hempel, Jessi (November 13, 2018). "Fei-Fei Li's Quest To Make Ai Better For Humanity". Wired. https://www.wired.com/story/fei-fei-li-artificial-intelligence-humanity/. Retrieved December 5, 2018. 
  18. ↑ "Press release". http://phs.pthsd.k12.nj.us/UserFiles/Servers/Server_27187/File/docs/PHS%20Hall%20of%20Fame%20Press%20Release%202017.pdf. 
  19. ↑ "Parsippany High School to induct members to hall of fame". 29 January 2017. https://www.nj.com/morris/index.ssf/2017/01/parsippany_high_school_to_induct_members_to_hall_o.html. 
  20. ↑ "CV of Fei-Fei Li". https://cap.stanford.edu/profiles/viewCV?facultyId=15052&name=Fei-Fei_Li. 
  21. ↑ Li, Fei Fei (1999). "Auditory Binaural Correlogram Difference: A New Computational Model for Huggins Dichotic Pitch". http://arks.princeton.edu/ark:/88435/dsp013x816p82c. 
  22. ↑ "Meet the Fellows | Fei-Fei Li". https://www.pdsoros.org/meet-the-fellows/fei-fei-li. 
  23. ↑ "Fei-Fei Li's Curriculum Vitae | Stanford Profiles" (in en). https://cap.stanford.edu/profiles/viewCV?facultyId=15052&name=Fei-Fei_Li. 
  24. ↑ "Human-Centered AI". https://hai.stanford.edu/welcome/. 
  25. ↑ "Google Hires Two Artificial Intelligence Experts To Lead Machine Learning Team" (in en). http://fortune.com/2016/11/15/google-fei-fei-li-snapchat-machine-learning/. 
  26. ↑ "Google Cloud Next '17 data, analytics and machine learning session video now online". https://cloud.google.com/blog/products/gcp/google-cloud-next-17-data-analytics-and-machine-learning-session-video-now-online/. 
  27. ↑ "Cloud AutoML: Making AI accessible to every business". https://cloud.google.com/blog/topics/inside-google-cloud/cloud-automl-making-ai-accessible-every-business/. 
  28. ↑ "Empowering businesses and developers to do more with AI" (in en). 2018-07-24. https://www.blog.google/products/google-cloud/empowering-businesses-and-developers-to-do-more-with-ai/. 
  29. ↑ "A U.S. Secret Weapon in A.I.: Chinese Talent". 2020-06-09. https://www.nytimes.com/2020/06/09/technology/china-ai-research-education.html. "The Google team worked to build technology that could automatically identify vehicles, buildings and other objects in video footage captured by drones" 
  30. ↑ 30.0 30.1 Conger, Kate (June 1, 2018). "Google Plans Not to Renew Its Contract for Project Maven, a Controversial Pentagon Drone AI Imaging Program". Gizmodo. https://gizmodo.com/google-plans-not-to-renew-its-contract-for-project-mave-1826488620?rev=1527878998845. "Google secured the Project Maven contract in late September, the emails reveal, after competing for months against several other “AI heavyweights” for the work...One of the terms of Google’s contract with the Defense Department was that Google’s involvement not be mentioned without the company’s permission, the emails state." 
  31. ↑ "'The Business of War': Google Employees Protest Work for the Pentagon". New York Times. April 4, 2018. https://www.nytimes.com/2018/04/04/technology/google-letter-ceo-pentagon-project.html. "Thousands of Google employees, including dozens of senior engineers, have signed a letter protesting the company’s involvement in a Pentagon program that uses artificial intelligence to interpret video imagery and could be used to improve the targeting of drone strikes." 
  32. ↑ Shane, Scott (May 30, 2018). "How a Pentagon Contract Became an Identity Crisis for Google". New York Times. https://www.nytimes.com/2018/05/30/technology/google-project-maven-pentagon.html. "Asked about her September email, Dr. Li issued a statement: 'I believe in human-centered AI to benefit people in positive and benevolent ways. It is deeply against my principles to work on any project that I think is to weaponize AI.'" 
  33. ↑ "Google Cloud AI: Andrew Moore joining Google Cloud; Fei-Fei Li becoming advisor". https://cloud.google.com/blog/topics/inside-google-cloud/google-cloud-ai-andrew-moore-joining-google-cloud-fei-fei-li-becoming-advisor/. 
  34. ↑ Hempel, Jessi (2017-05-04). "Melinda Gates and Fei-Fei Li Want to Liberate AI from "Guys With Hoodies"". Wired. ISSN 1059-1028. https://www.wired.com/2017/05/melinda-gates-and-fei-fei-li-want-to-liberate-ai-from-guys-with-hoodies/. Retrieved 2018-12-27. 
  35. ↑ "Artificial intelligence has a racial bias problem. Google is funding summer camps to try to change that" (in en). https://www.usatoday.com/story/tech/news/2018/08/10/google-gives-1-million-help-more-young-blacks-latinos-and-women-create-artificial-intelligence/915627002/. 
  36. ↑ "AI4All, created by Google Cloud's Fei-Fei Li, is pairing tech workers and high school students on AI projects" (in en-US). 2018-02-03. https://venturebeat.com/2018/02/03/ai4all-created-by-google-clouds-fei-fei-li-is-pairing-tech-workers-and-high-school-students-on-ai-projects/. 
  37. ↑ Herold, Benjamin (2017-09-27). "Preparing Students for Tomorrow's Jobs: 10 Experts Offer Advice to Educators - Education Week". Education Week. https://www.edweek.org/ew/articles/2017/09/27/preparing-students-for-tomorrows-jobs-10-experts.html. 
  38. ↑ Walravens, Samantha. "Why We Need More Women Taking Part In The AI Revolution" (in en). https://www.forbes.com/sites/geekgirlrising/2017/04/14/why-we-need-more-women-taking-part-in-the-ai-revolution/. 
  39. ↑ Johnson, Khari (May 17, 2017). "Google unveils second-generation TPU chips to accelerate machine learning". Venture Beat. https://venturebeat.com/2017/05/17/google-unveils-second-generation-tpu-chips-to-accelerate-machine-learning/. "Earlier this month, Li joined Melinda Gates and NVIDIA CEO Jensen Huang to create AI4All, an organization dedicated to encouraging AI adoption among communities underrepresented in AI." 
  40. ↑ Castellanos, Sara (2020-08-10). "The Changes AI Will Bring" (in en-US). Wall Street Journal. ISSN 0099-9660. https://www.wsj.com/articles/the-changes-ai-will-bring-11597072070. 
  41. ↑ "Olga Russakovsky". http://www.cs.princeton.edu/~olgarus/. 
  42. ↑ Alba, Davey (2015-08-31). "This Girls' Summer Camp Could Help Change the World of AI". Wired. ISSN 1059-1028. https://www.wired.com/2015/08/stanford-artificial-intelligence-laboratorys-outreach-summer-program/. Retrieved 2018-12-27. 
  43. ↑ 43.0 43.1 "Welcome to Stanford AI4ALL | Stanford AI4ALL". http://ai4all.stanford.edu/. 
  44. ↑ "AI will change the world. Who will change AI? | Princeton AI4ALL". http://ai4all.princeton.edu/. 
  45. ↑ "Pre-College Artificial Intelligence | Carnegie Mellon". https://admission.enrollment.cmu.edu/pages/access-artificial-intelligence. 
  46. ↑ "AI4ALL". http://www.bu.edu/lernet/AI4ALL/. 
  47. ↑ "home". https://bair.berkeley.edu/ai4all/. 
  48. ↑ "Invent the Future - Simon Fraser University". https://www.sfu.ca/computing/inventthefuture.html. 
  49. ↑ "An AI Pioneer, and the Researcher Bringing Humanity to AI" (in en-US). WIRED. https://www.wired.com/story/wired25-kai-fu-lee-fei-fei-li-artificial-intelligence/. Retrieved 2018-10-25. 
  50. ↑ "Ten Stanford faculty members elected to the American Academy of Arts and Sciences". https://news.stanford.edu/today/2021/04/22/newest-american-academy-arts-sciences-members/. 
  51. ↑ "Three Stanford faculty elected to the National Academy of Engineering | Department of Chemistry". February 10, 2020. https://chemistry.stanford.edu/news/three-stanford-faculty-elected-national-academy-engineering. 
  52. ↑ "Five professors elected to National Academy of Medicine". November 18, 2019. https://med.stanford.edu/news/all-news/2020/10/five-professors-elected-to-national-academy-of-medicine.html. 
  53. ↑ "Twitter adds former Google VP and A.I. guru Fei-Fei Li to board as it seeks to play catch up with Google and Facebook". 12 May 2020. https://www.cnbc.com/2020/05/12/twitter-adds-former-google-vp-and-ai-guru-fei-fei-li-to-board.html. 
  54. ↑ "Elon Musk, who runs four other companies, will now be Twitter CEO". Reuters. 2022-10-31. https://www.reuters.com/technology/elon-musk-says-he-will-be-twitter-ceo-2022-10-31/. "'The following persons, who were directors of Twitter prior to the effective time of the merger, are no longer directors of Twitter: Bret Taylor, Parag Agrawal, Omid Kordestani, David Rosenblatt, Martha Lane Fox, Patrick Pichette, Egon Durban, Fei-Fei Li and Mimi Alemayehou,' Musk said in the filing." 
  55. ↑ "Elon Musk Ousts Twitter Board, Named Sole Director". The Wall Street Journal. October 31, 2022. https://www.wsj.com/articles/musk-ousts-twitter-board-named-sole-director-11667234297. "The board that oversaw Twitter Inc. during its tumultuous sale to Elon Musk has been dissolved, with the Tesla Inc. chief now serving as the social-media company’s sole director." 
  56. ↑ Peelen, Marius V.; Fei-Fei, Li; Kastner, Sabine (2002). "Neural mechanisms of rapid natural scene categorization in human visual cortex". Nature 460 (7251): 94–97. doi:10.1038/nature08103. PMID 19506558. PMC 2752739. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rDfyQnIAAAAJ&cstart=20&citation_for_view=rDfyQnIAAAAJ:roLk4NBRz8UC. 
  57. ↑ Fei-Fei, Li; VanRullen, Rufin; Koch, Christof; Perona, Pietro (2002). "Rapid natural scene categorization in the near absence of attention". Proceedings of the National Academy of Sciences 99 (14): 9596–601. doi:10.1073/pnas.092277599. PMID 12077298. PMC 123186. Bibcode: 2002PNAS...99.9596L. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rDfyQnIAAAAJ&citation_for_view=rDfyQnIAAAAJ:ULOm3_A8WrAC. 
  58. ↑ Stanley, Garrett B; Fei-Fei, Li; Dan, Yang (1999). "Reconstruction of natural scenes from ensemble responses in the lateral geniculate nucleus". Journal of Neuroscience 19 (18): 8036–8042. doi:10.1523/JNEUROSCI.19-18-08036.1999. PMID 10479703. PMC 6782475. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rDfyQnIAAAAJ&cstart=20&citation_for_view=rDfyQnIAAAAJ:L8Ckcad2t8MC. 
  59. ↑ "Stanford Computer Vision Lab : Publications". http://vision.stanford.edu/publications.html. 
  60. ↑ Markoff, John (August 18, 2014). "Computer Eyesight Gets a Lot More Accurate". The New York Times. http://bits.blogs.nytimes.com/2014/08/18/computer-eyesight-gets-a-lot-more-accurate/. 
  61. ↑ "imagenet 2014 « Deep Learning". Deeplearning.net. 2014-09-19. http://deeplearning.net/tag/imagenet-2014/. 
  62. ↑ Deng, Jia; Dong, Wei; Socher, Richard; Li, Li-Jia; Li, Kai; Fei-Fei, Li (2009). "Imagenet: A large-scale hierarchical image database". CVPR. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rDfyQnIAAAAJ&citation_for_view=rDfyQnIAAAAJ:qjMakFHDy7sC. 
  63. ↑ "ImageNet". http://image-net.org/. 
  64. ↑ Russakovsky, Olga; Deng, Jia; Su, Hao; Krause, Jonathan; Satheesh, Sanjeev; Ma, Sean; Huang, Zhiheng; Karpathy, Andrej; Khosla, Aditya; Bernstein, Michael; Berg, Alexander C.; Fei-Fei, Li (2014). "ImageNet Large Scale Visual Recognition Challenge". arXiv:1409.0575 [cs.CV].
  65. ↑ Markoff, John (2014-11-17). "Researchers Announce Advance in Image-Recognition Software" (in en-US). The New York Times. ISSN 0362-4331. https://www.nytimes.com/2014/11/18/science/researchers-announce-breakthrough-in-content-recognition-software.html. 
  66. ↑ 66.0 66.1 66.2 "IAPR - IAPR Awards". https://www.iapr.org/fellowsandawards/awards_aggarwal.php. 
  67. ↑ "Arnold Milstein's Profile | Stanford Profiles" (in en). https://profiles.stanford.edu/arnold-milstein. 
  68. ↑ Yang, Kaiyu; Qinami, Klint; Fei-Fei, Li; Deng, Jia; Russakovsky, Olga (2020-01-27). "Towards fairer datasets: Filtering and balancing the distribution of the people subtree in the ImageNet hierarchy". Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. FAT* '20. New York, NY, USA: Association for Computing Machinery. pp. 547–558. doi:10.1145/3351095.3375709. ISBN 978-1-4503-6936-7. 
  69. ↑ "Stanford University CS231n: Convolutional Neural Networks for Visual Recognition". http://cs231n.stanford.edu/. 
  70. ↑ "Machine learning courses online - FastML". http://fastml.com/machine-learning-courses-online/. 
  71. ↑ "Stanford University CS 131 Computer Vision: Foundations and Applications". http://vision.stanford.edu/teaching/cs131_fall1617/. 
  72. ↑ "Meet the Fellows | Fei-Fei Li" (in en). https://www.pdsoros.org/meet-the-fellows/fei-fei-li. 
  73. ↑ "Microsoft Research Recognizes Computer Science's Most Promising Professors With New Faculty Fellowships" (in en-US). 2006-04-26. https://news.microsoft.com/2006/04/26/microsoft-research-recognizes-computer-sciences-most-promising-professors-with-new-faculty-fellowships/. 
  74. ↑ "NSF Award Search: Award#0845230 - CAREER: Telling the Story of a Visual World: Event Classification and Integrated Image Understanding". https://www.nsf.gov/awardsearch/showAward?AWD_ID=0845230. 
  75. ↑ "CVPR 2010: IEEE Conference on Computer Vision and Pattern Recognition". http://tab.computer.org/pamitc/archive/cvpr2010/index.html. 
  76. ↑ "Past Fellows". https://sloan.org/past-fellows. 
  77. ↑ "The Leading Global Thinkers of 2015 - Foreign Policy" (in en). https://2015globalthinkers.foreignpolicy.com/. 
  78. ↑ "Mark Everingham Prize • IEEE Computer Society". https://www.computer.org/web/tcpami/mark-everingham-prize. 
  79. ↑ York, Carnegie Corporation of New. "2016 Great Immigrants". https://www.carnegie.org/awards/great-immigrants/2016-great-immigrants/. 
  80. ↑ Blanco, Octavio (2016-07-21). "One immigrant's path from cleaning houses to Stanford professor". https://money.cnn.com/2016/07/21/news/economy/chinese-immigrant-stanford-professor/index.html. 
  81. ↑ "Athena Awards cap Women in Tech symposium" (in en-US). 2017-11-07. https://citris-uc.org/announcing-2017-witiuc-athena-awards/. 
  82. ↑ Langmuir, Molly (2017-07-12). "ELLE's 2017 Women in Tech: Star Tech Voyagers" (in en-US). https://www.elle.com/culture/tech/a46301/elle-women-in-tech-2017/. 
  83. ↑ 2018 ACM Fellows Honored for Pivotal Achievements that Underpin the Digital Age, Association for Computing Machinery, December 5, 2018, https://www.acm.org/media-center/2018/december/fellows-2018 
  84. ↑ "Fei-Fei Li". Forbes. https://www.forbes.com/profile/fei-fei-li/?list=top-tech-women-america. 
  85. ↑ "Subcommittee on Research and Technology and Subcommittee on Energy Hearing - Artificial Intelligence – With Great Power Comes Great Responsibility" (in en). 2018-06-26. https://science.house.gov/legislation/hearings/subcommittee-research-and-technology-and-subcommittee-energy-hearing-artificial. 
  86. ↑ "Dr. Fei-Fei Li" (in en-US). 2019-06-12. https://anitab.org/profiles/abie-award-winners/technical-leadership/fei-fei-li/. 
  87. ↑ "BBC 100 Women 2019: Who is on the list this year?" (in en-GB). BBC News. 2019-10-15. https://www.bbc.com/news/world-50042279. 
  88. ↑ "Member" (in en). https://www.nae.edu/224664/Professor-FeiFei-Li. 
  89. ↑ "Member" (in en). November 18, 2019. https://med.stanford.edu/news/all-news/2020/10/five-professors-elected-to-national-academy-of-medicine.html. 
  90. ↑ "winner" (in en). https://proberlab.caltech.edu/news/caltech-announces-2020-distinguished-alumni-award-winners. 
  91. ↑ "Member" (in en). https://www.cfr.org/event/future-ai-ethics-and-defense. 
  92. ↑ "ACM Names 71 Fellows for Computing Advances that are Driving Innovation". Association for Computing Machinery. January 19, 2022. https://www.acm.org/media-center/2022/january/fellows-2021. 
  93. ↑ "New Members" (in en). https://www.amacad.org/new-members-2021. 
  94. ↑ "Computer Vision Awards – The Computer Vision Foundation". https://www.thecvf.com/?page_id=413#Huang. 
  95. ↑ "Intel Innovation 2023" (in en). https://www.intel.com/content/www/us/en/newsroom/resources/intel-innovation-2023.html. 
  96. ↑ "TIME100 AI 2023: Fei-Fei Li" (in en). Time. 2023-09-07. https://time.com/collection/time100-ai/6308945/fei-fei-li/. Retrieved 2023-11-10. 
  97. ↑ "Computer scientist Fei-Fei Li '99 and ornithologist John Fitzpatrick *78 to receive top awards on Alumni Day | Princeton Alumni" (in en). https://alumni.princeton.edu/stories/alumni-day-2024-fei-fei-li-john-fitzpatrick. 
  98. ↑ Falcon, William (November 30, 2018). "This Is The Future Of AI According To 23 World-Leading AI Experts". https://www.forbes.com/sites/williamfalcon/2018/11/30/this-is-the-future-of-ai-according-to-23-world-leading-ai-experts/#60939b2b62f2. 
  99. ↑ Thornhill, John (2023-11-01). "The Worlds I See — keeping the human at the heart of AI". Financial Times. https://www.ft.com/content/de3f4813-4f36-40c7-9d50-980144674d87. 
  100. ↑ Kent, Jo Ling; Breen, Kerry (2023-11-08). ""Godmother of A.I." Fei-Fei Li on technology development: "The power lies within people" - CBS News" (in en-US). https://www.cbsnews.com/news/godmother-of-a-i-on-technology-development-fei-fei-li/. 




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