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Updated research foci; citations for awards and research foci; updated Sloan Fellowship and NSF CAREER award
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| awards = [[Forbes 30 Under 30]]
| awards = [[Forbes 30 Under 30]] (2021)
NSF CAREER Award (2022)
| website = {{URL|https://nlp.stanford.edu/~diyiy/}}
| website = {{URL|https://nlp.stanford.edu/~diyiy/}}
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'''Diyi Yang''' is a Chinese computer scientist and assistant professor of computer science at [[Stanford University]]. Her research combines [[linguistics]] and [[social science]]s with [[machine learning]]<ref>{{Cite web |title=Diyi Yang |url=https://www.forbes.com/profile/diyi-yang/?sh=46830b9f60d1 |url-status=live |access-date=February 20, 2024 |website=Forbes}}</ref> to build more socially-aware language technologies,<ref name=":0">{{Cite web |date= |title=Faculty Fellowship - Microsoft Research |url=https://www.microsoft.com/en-us/research/academic-program/faculty-fellowship/fellows/ |url-status=live |archive-url=https://web.archive.org/web/20230511023910/https://www.microsoft.com/en-us/research/academic-program/faculty-fellowship/fellows/ |archive-date=May 11, 2023 |access-date=February 20, 2024 |website=Microsoft}}</ref> including user-centered [[Natural language generation|text generation]], and [[Natural language processing|NLP]] for limited data settings<ref>{{Cite web |title=Diyi Yang |url=https://simons.berkeley.edu/people/diyi-yang |url-status=live |access-date=February 20, 2024 |website=Simons Institute for the Theory of Computing}}</ref><ref>{{Cite web |title=Tutorials at ACL 2022 |url=https://www.2022.aclweb.org/tutorials |url-status=live |archive-url=https://web.archive.org/web/20220521074857/https://www.2022.aclweb.org/tutorials |archive-date=May 21, 2022 |access-date=February 20, 2024}}</ref> like [[Dialect|dialectal]] [[Variation (linguistics)|variation]] and low-resourced languages.<ref>{{Cite web |last=Potts |first=Christopher |title=Podcast episode: Diyi Yang |url=https://web.stanford.edu/class/cs224u/podcast/yang/ |url-status=live |access-date=February 20, 2024 |website=CS224U: Natural Language Understanding}}</ref>
'''Diyi Yang''' is a Chinese computer scientist and assistant professor of computer science at [[Stanford University]]. Her research combines [[linguistics]] and [[social science]]s with [[machine learning]] to address social problems like [[Cyberbullying|online harassment]], as well as user-centered [[Natural language generation|text generation]] and [[Data augmentation|learning with limited data]].


== Biography ==
== Biography ==
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== Recognition ==
== Recognition ==
In 2020, Yang was named one of [[Institute of Electrical and Electronics Engineers|IEEE]] AI's 10 to Watch,<ref>{{Cite journal|last=Subrahmanian|first=V.S.|date=2020-11-01|title=The Future of AI: AI's 10 To Watch|journal=IEEE Intelligent Systems|volume=35|issue=6|pages=3–6|doi=10.1109/mis.2020.3033683|issn=1541-1672|doi-access=free}}</ref> and in 2021, she was awarded Samsung AI Researcher of the Year,<ref>{{Cite web|title=[Samsung AI Forum 2021] Day 1: AI Research for Tomorrow|url=https://news.samsung.com/global/samsung-ai-forum-2021-day-1-ai-research-for-tomorrow|url-status=live|website=[[Samsung]]|archive-url=https://web.archive.org/web/20211101031223/https://news.samsung.com/global/samsung-ai-forum-2021-day-1-ai-research-for-tomorrow |archive-date=2021-11-01 }}</ref> Intel Rising Star,<ref>{{Cite web|title=Intel® 2021 Rising Star Faculty Award Recognizes 10 Leading Early-Career Professors|url=https://www.intel.com/content/www/us/en/research/blogs/rising-star-faculty-award-21.html|url-status=live|website=[[Intel]]|archive-url=https://web.archive.org/web/20210914070027/https://www.intel.com/content/www/us/en/research/blogs/rising-star-faculty-award-21.html |archive-date=2021-09-14 }}</ref> and was listed in the [[Forbes 30 Under 30]] for Science.<ref>{{Cite web|editor-last=Knapp|editor-first=Alex|editor2-last=Jennings|editor2-first=Katie|editor3-last=Rosenbaum|editor3-first=Leah|title=Science - Forbes 30 Under 30 2021|url=https://www.forbes.com/30-under-30/2021/science/|url-status=live|website=[[Forbes]]|archive-url=https://web.archive.org/web/20201201162825/https://www.forbes.com/30-under-30/2021/science/ |archive-date=2020-12-01 }}</ref>
Diyi Yang is a [[Sloan Research Fellowship|Sloan Research Fellow]],<ref>{{Cite web |date=February 20, 2024 |title=2024 Sloan Research Fellows |url=https://sloan.org/fellowships/2024-Fellows |website=Sloan Foundation}}</ref> Kavli Fellow,<ref>{{Cite web |title=2023 Kavli Fellows - News Release |url=https://www.nasonline.org/programs/kavli-frontiers-of-science/news/2023-kavli-fellows.html |url-status=live |access-date=February 20, 2024 |website=National Academy of Sciences}}</ref> and Microsoft Research Faculty Fellow.<ref name=":0" /> In 2020, Yang was named one of [[Institute of Electrical and Electronics Engineers|IEEE]] AI's 10 to Watch,<ref>{{Cite journal|last=Subrahmanian|first=V.S.|date=2020-11-01|title=The Future of AI: AI's 10 To Watch|journal=IEEE Intelligent Systems|volume=35|issue=6|pages=3–6|doi=10.1109/mis.2020.3033683|issn=1541-1672|doi-access=free}}</ref> and in 2021, she was awarded Samsung AI Researcher of the Year,<ref>{{Cite web|title=[Samsung AI Forum 2021] Day 1: AI Research for Tomorrow|url=https://news.samsung.com/global/samsung-ai-forum-2021-day-1-ai-research-for-tomorrow|url-status=live|website=[[Samsung]]|archive-url=https://web.archive.org/web/20211101031223/https://news.samsung.com/global/samsung-ai-forum-2021-day-1-ai-research-for-tomorrow |archive-date=2021-11-01 }}</ref> Intel Rising Star,<ref>{{Cite web|title=Intel® 2021 Rising Star Faculty Award Recognizes 10 Leading Early-Career Professors|url=https://www.intel.com/content/www/us/en/research/blogs/rising-star-faculty-award-21.html|url-status=live|website=[[Intel]]|archive-url=https://web.archive.org/web/20210914070027/https://www.intel.com/content/www/us/en/research/blogs/rising-star-faculty-award-21.html |archive-date=2021-09-14 }}</ref> and was listed in the [[Forbes 30 Under 30]] for Science.<ref>{{Cite web|editor-last=Knapp|editor-first=Alex|editor2-last=Jennings|editor2-first=Katie|editor3-last=Rosenbaum|editor3-first=Leah|title=Science - Forbes 30 Under 30 2021|url=https://www.forbes.com/30-under-30/2021/science/|url-status=live|website=[[Forbes]]|archive-url=https://web.archive.org/web/20201201162825/https://www.forbes.com/30-under-30/2021/science/ |archive-date=2020-12-01 }}</ref>


==References==
==References==

Revision as of 18:22, 20 February 2024

Diyi Yang
Alma materCarnegie Mellon University (Ph.D., 2019),
Shanghai Jiao Tong University (B.S., 2013)
AwardsForbes 30 Under 30 (2021) NSF CAREER Award (2022)
Scientific career
FieldsNatural Language Processing, Computational Linguistics, Computational social science, Social computing
InstitutionsStanford University (2022–),
Georgia Tech (2019–2022)
Doctoral advisorRobert E. Kraut,
Eduard Hovy
Websitenlp.stanford.edu/~diyiy/

Diyi Yang is a Chinese computer scientist and assistant professor of computer science at Stanford University. Her research combines linguistics and social sciences with machine learning[1] to build more socially-aware language technologies,[2] including user-centered text generation, and NLP for limited data settings[3][4] like dialectal variation and low-resourced languages.[5]

Biography

Diyi Yang attended Shanghai Jiao Tong University for her undergraduate studies, earning a Bachelor of Science degree in Computer Science in July 2013. She received an M.S. (May 2015) and Ph.D. (February 2019) degrees from Carnegie Mellon University Language Technologies Institute. For her dissertation work, Yang developed algorithms for understanding computational social roles by bringing together machine learning techniques with sociology and social psychology. Upon completing her PhD, Yang became an assistant professor at the Georgia Tech College of Computing. In 2022, Yang moved to Stanford University where she now leads the Social and Language Technologies (SALT) Lab.[6]

Recognition

Diyi Yang is a Sloan Research Fellow,[7] Kavli Fellow,[8] and Microsoft Research Faculty Fellow.[2] In 2020, Yang was named one of IEEE AI's 10 to Watch,[9] and in 2021, she was awarded Samsung AI Researcher of the Year,[10] Intel Rising Star,[11] and was listed in the Forbes 30 Under 30 for Science.[12]

References

  1. ^ "Diyi Yang". Forbes. Retrieved February 20, 2024.{{cite web}}: CS1 maint: url-status (link)
  2. ^ a b "Faculty Fellowship - Microsoft Research". Microsoft. Archived from the original on May 11, 2023. Retrieved February 20, 2024.
  3. ^ "Diyi Yang". Simons Institute for the Theory of Computing. Retrieved February 20, 2024.{{cite web}}: CS1 maint: url-status (link)
  4. ^ "Tutorials at ACL 2022". Archived from the original on May 21, 2022. Retrieved February 20, 2024.
  5. ^ Potts, Christopher. "Podcast episode: Diyi Yang". CS224U: Natural Language Understanding. Retrieved February 20, 2024.{{cite web}}: CS1 maint: url-status (link)
  6. ^ Yang, Diyi. "SALT Lab".
  7. ^ "2024 Sloan Research Fellows". Sloan Foundation. February 20, 2024.
  8. ^ "2023 Kavli Fellows - News Release". National Academy of Sciences. Retrieved February 20, 2024.{{cite web}}: CS1 maint: url-status (link)
  9. ^ Subrahmanian, V.S. (2020-11-01). "The Future of AI: AI's 10 To Watch". IEEE Intelligent Systems. 35 (6): 3–6. doi:10.1109/mis.2020.3033683. ISSN 1541-1672.
  10. ^ "[Samsung AI Forum 2021] Day 1: AI Research for Tomorrow". Samsung. Archived from the original on 2021-11-01.
  11. ^ "Intel® 2021 Rising Star Faculty Award Recognizes 10 Leading Early-Career Professors". Intel. Archived from the original on 2021-09-14.
  12. ^ Knapp, Alex; Jennings, Katie; Rosenbaum, Leah (eds.). "Science - Forbes 30 Under 30 2021". Forbes. Archived from the original on 2020-12-01.
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