Diyi Yang
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Diyi Yang | |
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Alma mater | Carnegie Mellon University (Ph.D., 2019), Shanghai Jiao Tong University (B.S., 2013) |
Awards | Forbes 30 Under 30 |
Scientific career | |
Fields | Natural Language Processing, Computational Linguistics, Computational social science, Social computing |
Institutions | Georgia Tech (2019-) |
Doctoral advisor | Robert E. Kraut, Eduard Hovy |
Website | www |
Diyi Yang is an Assistant Professor in the Georgia Institute of Technology School of Interactive Computing. Her research combines linguistics and social sciences with machine learning to address social problems like online harassment, as well as user-centered text generation and learning with limited data.
Biography
Diyi Yang attended Shanghai Jiao Tong University for her undergraduate studies, earning a Bachelor of Science degree in Computer Science in July of 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 where she now leads the Social and Language Technologies (SALT) Lab.[1]
Recognition
In 2020, Yang was named one of IEEE AI's 10 To Watch,[2] and in 2021, she was awarded Samsung AI Researcher of the Year,[3] Intel Rising Star,[4] and was listed in the Forbes 30 Under 30 for Science.[5]
External links
- Official Website at Georgia Tech
- Diyi Yang publications indexed by Google Scholar
References
- ^ Yang, Diyi. "SALT Lab".
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: CS1 maint: url-status (link) - ^ 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.
- ^ "[Samsung AI Forum 2021] Day 1: AI Research for Tomorrow". Samsung.
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: CS1 maint: url-status (link) - ^ "Intel® 2021 Rising Star Faculty Award Recognizes 10 Leading Early-Career Professors". Intel.
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: CS1 maint: url-status (link) - ^ Knapp, Alex; Jennings, Katie; Rosenbaum, Leah (eds.). "Science - Forbes 30 Under 30 2021". Forbes.
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