Researcher
Dong Yu
Capital OneVP, AI Foundations
Yu helped establish deep learning as a practical approach to speech recognition at Microsoft.[1] His work made it easier for computers to turn spoken language into text and helped move speech technology from carefully designed rules toward systems that learn directly from large collections of audio.
Career & education
Capital OneApr 2026-present
Tencent2017-2026
Microsoft Research1998-2017
Zhejiang University
Chinese Academy of Sciences
Indiana University BloomingtonWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Selected contributions
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
With Geoffrey Hinton, Li Deng, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke and others ·Reviewed how deep neural networks improved the recognition of speech from recorded audio.
References
- Deep Neural Networks for Acoustic Modeling in Speech Recognitionmicrosoft.com
Yu and collaborators describe experiments showing how deep neural networks improved speech recognition.
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Reviewed August 7, 2026 · Checked for accuracy and new information.