World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
18189
World Ranking
6017
National Ranking
2706

Research.com Recognitions

  • 2013 - IEEE Fellow For contribuitons to advance speech recognition

Overview

Geoffrey Zweig is affiliated with Facebook in the United States and has contributed extensively to the field of computer science, with a focus on areas including artificial intelligence and signal processing. Their research spans multiple subfields and topical domains, highlighting a varied interest in both theoretical and applied aspects of technology.

Their primary fields of study include:

  • Computer Science

The subfields of study in which Geoffrey Zweig has published are:

  • Artificial Intelligence
  • Signal Processing
  • Cancer Research
  • Computer Vision and Pattern Recognition
  • Epidemiology

Topics prominently featured in their work encompass:

  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Speech and Audio Processing
  • Natural Language Processing Techniques
  • Cancer-related molecular mechanisms research
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications

Some of Geoffrey Zweig's recent publications include:

  • "On Compositions of Transformations in Contrastive Self-Supervised Learning", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Improving Rnn Transducer Based Asr With Auxiliary Tasks", 2024, IEEE RESOURCE CENTERS
  • "Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model", 2020, arXiv (Cornell University)
  • "Faster, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces", 2020, arXiv (Cornell University)
  • "Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition", 2021, arXiv (Cornell University)

The venues frequently chosen for publication include:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
  • IEEE RESOURCE CENTERS

Co-authorship collaborations are a key aspect of Geoffrey Zweig's research, with recurring partnerships including:

  • Yatharth Saraf
  • Chunxi Liu
  • Mandela Patrick
  • Ruth Fong
  • João F. Henriques

Recognition for their work includes the IEEE Fellow award received in 2013 for contributions to advancing speech recognition technology.

Best Publications

  • Linguistic Regularities in Continuous Space Word Representations

    Tomas Mikolov;Wen-tau Yih;Geoffrey Zweig

  • Syntactic clustering of the Web

    Andrei Z. Broder;Steven C. Glassman;Mark S. Manasse;Geoffrey Zweig

  • From captions to visual concepts and back

    Hao Fang;Saurabh Gupta;Forrest Iandola;Rupesh K. Srivastava

  • Recent advances in deep learning for speech research at Microsoft

    Li Deng;Jinyu Li;Jui-Ting Huang;Kaisheng Yao

  • Context dependent recurrent neural network language model

    Tomas Mikolov;Geoffrey Zweig

  • Using recurrent neural networks for slot filling in spoken language understanding

    Grégoire Mesnil;Yann Dauphin;Kaisheng Yao;Yoshua Bengio

  • Spoken language understanding using long short-term memory neural networks

    Kaisheng Yao;Baolin Peng;Yu Zhang;Dong Yu

  • Recurrent neural networks for language understanding.

    Kaisheng Yao;Geoffrey Zweig;Mei-Yuh Hwang;Yangyang Shi

  • fMPE: discriminatively trained features for speech recognition

    D. Povey;B. Kingsbury;L. Mangu;G. Saon

  • Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning

    Jason D Williams;Kavosh Asadi;Geoffrey Zweig

  • Joint Language and Translation Modeling with Recurrent Neural Networks

    Michael Auli;Michel Galley;Chris Quirk;Geoffrey Zweig

  • Language Models for Image Captioning: The Quirks and What Works

    Jacob Devlin;Hao Cheng;Hao Fang;Saurabh Gupta

  • The graphical models toolkit: An open source software system for speech and time-series processing

    Jeff Bilmes;Geoffrey Zweig

  • The microsoft 2016 conversational speech recognition system

    W. Xiong;J. Droppo;X. Huang;F. Seide

  • Toward Human Parity in Conversational Speech Recognition

    Wayne Xiong;Jasha Droppo;Xuedong Huang;Frank Seide

  • Transformer-Based Acoustic Modeling for Hybrid Speech Recognition

    Yongqiang Wang;Abdelrahman Mohamed;Due Le;Chunxi Liu

  • Intra-language statistical machine translation

    Xiao Li;Yun-Cheng Ju;Geoffrey Zweig;Alex Acero

  • Joint semantic utterance classification and slot filling with recursive neural networks

    Daniel Guo;Gokhan Tur;Wen-tau Yih;Geoffrey Zweig

  • Sequence-to-sequence neural net models for grapheme-to-phoneme conversion

    Unknown

  • Physical mapping of chromosomes using unique probes.

    Farid Alizadeh;Richard M. Karp;Deborah K. Weisser;Geoffrey Zweig

  • Advances in speech transcription at IBM under the DARPA EARS program

    S.F. Chen;B. Kingsbury;Lidia Mangu;D. Povey

Frequent Co-Authors

Patrick Nguyen
Patrick Nguyen Google (United States)
Dong Yu
Dong Yu Tencent (China)
Alejandro Acero
Alejandro Acero Apple (United States)
Jason D. Williams
Jason D. Williams Apple (United States)
John Platt
John Platt Google (United States)
Wen-tau Yih
Wen-tau Yih Facebook (United States)
Xiaodong He
Xiaodong He Chinese Academy of Sciences
Li Deng
Li Deng Citadel
Jasha Droppo
Jasha Droppo Amazon (United States)
Tomas Mikolov
Tomas Mikolov Czech Technical University in Prague

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