Quoc V. Le
Quoc V. Le | |
|---|---|
| Born | Lê Viết Quốc 1982 (age 43–44) |
| Education | Australian National University Stanford University |
| Known for | seq2seq doc2vec Neural architecture search Google Neural Machine Translation |
| Scientific career | |
| Fields | Machine learning |
| Institutions | Google Brain Google DeepMind |
| Thesis | Scalable feature learning (2013) |
| Doctoral advisor | Andrew Ng |
| Other academic advisors | Alex Smola |
Lê Viết Quốc (born 1982), or in romanized form Quoc Viet Le, is a Vietnamese-American computer scientist and artificial intelligence researcher. He is a Google Fellow at Google DeepMind and a founding member of the Google Brain project.
Le is best known for his pioneering work in deep learning, particularly in large-scale unsupervised learning, Sequence-to-Sequence (seq2seq) models, and AutoML (neural architecture search). His research laid the foundation for modern machine translation systems, such as Google Translate, and advanced the field of large language models (LLMs).