Geoffrey Zweig

New York City, United States

Geoffrey is an AI Director and supports the Multimodal Video Understanding team. He focuses on machine learning algorithms that understand the full spectrum of audio and visual content signals. These algorithms enable key applications in search, ranking, content creation, monetization, and content moderation. Prior to Facebook, Dr. Zweig led research teams at IBM, Microsoft, and JPMorgan Chase, in the areas of speech recognition, dialog systems, NLP, and time series analysis. He received his Ph.D. from UC Berkeley in AI, has published over 80 conference and journal papers, holds numerous patents, and is an IEEE Fellow.

Geoffrey's Publications

June 13, 2019

RESEARCH

Multi-modal Content Localization in Videos Using Weak Supervision

Gourab Kundu, Prahal Arora, Ferdi Adeputra, Polina Kuznetsova, Daniel McKinnon, Michelle Cheung, Larry Anazia, Geoffrey Zweig,

June 13, 2019

December 14, 2019

RESEARCH

NLP

From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition

Duc Le, Xiaohui Zhang, Weiyi Zhang, Christian Fuegen, Geoffrey Zweig, Michael L. Seltzer,

December 14, 2019