KAIST
Aalto University
Andrew Gordon WilsonProfessor, Courant Institute and Center for Data Science · New York UniversityResearcher↗
Researcher · Academic
Kyunghyun Cho
New York UniversityProfessor of Computer Science and Data Science
Career & education
Current roleNew York University2023-presentProfessor of Computer Science and Data Science
New York University2023-presentPreviously
Genentech2021-2026Senior Director of Frontier Research -> Executive Director of Frontier Research
Meta2017-2020Research Scientist (Part-time)
Université de Montréal2014-2015Postdoc
Genentech2021-2026Meta2017-2020Université de Montréal2014-2015Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations216,912As of Nov 1, '26
citations+3,538Since last snapshot, Oct 1, '26
Selected contributions
Neural Machine Translation by Jointly Learning to Align and Translate
With Dzmitry Bahdanau and Yoshua BengioAttention helps neural translation models focus on relevant words as each word is generated.
References
- Neural Machine Translation by Jointly Learning to Align and Translatearxiv.org
Neural Machine Translation by Jointly Learning to Align and Translate supports the anchored contribution. Named-contribution check: current personal biography and original attention/GRU papers read. Retains both foundational contributions, leads with significance and explains mechanisms. Prescient Design, Ortet and health-AI work considered; omitted to focus durable technical significance rather than repeat founding affiliations. No supplied CV. No claim of sole authorship or inventing every form of attention.
- Learning Phrase Representations using RNN Encoder-Decoderarxiv.org
Learning Phrase Representations using RNN Encoder-Decoder supports the anchored contribution. Named-contribution check: current personal biography and original attention/GRU papers read. Retains both foundational contributions, leads with significance and explains mechanisms. Prescient Design, Ortet and health-AI work considered; omitted to focus durable technical significance rather than repeat founding affiliations. No supplied CV. No claim of sole authorship or inventing every form of attention.
Based on public sources. If accuracy is important, verify details using the links or references.
For corrections, updates, or requests to remove information, contact us.
Reviewed August 9, 2026 · Checked for accuracy and new information.
