Geoffrey Zweig

14.3k citations

119 papers · 7.4k indexed · 4 hit papers · h-index 32

Artificial Intelligence top 0.1%
- Speech Recognition and Synthesis 78
- Natural Language Processing Techniques 54
- Topic Modeling 35
- Speech and dialogue systems 32
- Algorithms and Data Compression 8
Signal Processing top 0.2%
- Speech and Audio Processing 35
- Music and Audio Processing 35
Computer Vision and Pattern Recognition top 0.5%
- Multimodal Machine Learning Applications 6
Information Systems top 0.5%
Management Science and Operations Research top 5%

Co-authors: Tomáš Mikolov Wen-tau Yih Andrei Broder Mark S. Manasse Dong Yu Kaisheng Yao George Saon Xiaodong He
Cited by: Artificial Intelligence Signal Processing Computer Vision and Pattern Recognition
Journals: Operations Research (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)IEEE Transactions on Audio Speech and Language Processing (2 papers)
Partner nations: United States United Kingdom Czechia

In The Last Decade

Geoffrey Zweig

118 papers receiving 6.7k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2015 From captions to visual concepts and back
2013 North American Chapter of the Association for Computational Linguistics
2012 Context dependent recurrent neural network language model
1997 Computer Networks and ISDN Systems

Peers

Countries citing papers authored by Geoffrey Zweig

Since Specialization

Citations

This map shows the geographic impact of Geoffrey Zweig's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Geoffrey Zweig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey Zweig more than expected).

Fields of papers citing papers by Geoffrey Zweig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey Zweig. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Geoffrey Zweig. The network helps show where Geoffrey Zweig may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Geoffrey Zweig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Geoffrey Zweig Line = papers co-authored together Geoffrey Zweig links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Multilingual Graphemic Hybrid ASR with Massive Data Augmentation. Chunxi Liu,Qiaochu Zhang,Xiaohui Zhang,Kritika Singh,Yatharth Saraf,Geoffrey Zweig	2020	5
2	Toward Human Parity in Conversational Speech Recognition IEEE/ACM Transactions on Audio Speech and Language Processing ·Wayne Xiong,Jasha Droppo,Xuedong Huang,Frank Seide,Michael L. Seltzer,Andreas Stolcke,Dong Yu,Geoffrey Zweig	2017	146
3	Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning J. D. Williams,Kavosh Asadi,Geoffrey Zweig	2017	151
4	Deep Convolutional Neural Networks with Layer-Wise Context Expansion and Attention Dong Yu,Wayne Xiong,Jasha Droppo,Andreas Stolcke,Guoli Ye,Jinyu Li,Geoffrey Zweig	2016	59
5	LSTM time and frequency recurrence for automatic speech recognition Jinyu Li,Abdelrahman Mohamed,Geoffrey Zweig,Yifan Gong	2015	72
6	Sequence-to-sequence neural net models for grapheme-to-phoneme conversion Kaisheng Yao,Geoffrey Zweig	2015	34
7	Language Models for Image Captioning: The Quirks and What Works Jacob Devlin,Hao Cheng,Hao Fang,Saurabh Gupta,Li Deng,Xiaodong He,Geoffrey Zweig,Margaret Mitchell	2015	131
8	An introduction to computational networks and the computational network toolkit (invited talk). Conference of the International Speech Communication Association ·Dong Yu,Adam Eversole,Michael L. Seltzer,Kaisheng Yao,Brian Guenter,Oleksii Kuchaiev,Frank Seide,Huaming Wang,Jasha Droppo,Zhiheng Huang,Geoffrey Zweig,Christopher J. Rossbach,Jon Currey	2014	3
9	Recurrent neural networks for language understanding Kaisheng Yao,Geoffrey Zweig,Mei-Yuh Hwang,Yangyang Shi,Dong Yu	2013	195
10	Linguistic Regularities in Continuous Space Word Representationsbreakdown → North American Chapter of the Association for Computational Linguistics ·Tomáš Mikolov,Wen-tau Yih,Geoffrey Zweig	2013	1635
11	Combining Heterogeneous Models for Measuring Relational Similarity North American Chapter of the Association for Computational Linguistics ·Alisa Zhila,Wen-tau Yih,Christopher Meek,Geoffrey Zweig,Tomáš Mikolov	2013	29
12	Joint Language and Translation Modeling with Recurrent Neural Networks Michael Auli,Michel Galley,Chris Quirk,Geoffrey Zweig	2013	168
13	Polarity Inducing Latent Semantic Analysis Empirical Methods in Natural Language Processing ·Wen-tau Yih,Geoffrey Zweig,John Platt	2012	48
14	A Challenge Set for Advancing Language Modeling North American Chapter of the Association for Computational Linguistics ·Geoffrey Zweig,Chris Burges	2012	18
15	Computational Approaches to Sentence Completion Meeting of the Association for Computational Linguistics ·Geoffrey Zweig,John Platt,Christopher Meek,Christopher J. C. Burges,Ainur Yessenalina,Qiang Liu	2012	19
16	Linear Feature Space Transformations for Speaker Adaptation International Conference on Acoustics, Speech, and Signal Processing ·George Saon,Geoffrey Zweig,M. Padmanabhan	2001	3
17	Recent Improvements on a VoiceMail Transcription Task Conference of the International Speech Communication Association ·Mohamed Padmanabhan,George Saon,Sankar Basu,Jing Huang,Geoffrey Zweig	1999	2
18	Speech recognition with Dynamic Bayesian Networks National Conference on Artificial Intelligence ·Geoffrey Zweig,Stuart Russell	1998	137
19	Probabilistic modeling with Bayesian networks for automatic speech recognition. Conference of the International Speech Communication Association ·Geoffrey Zweig,Stuart Russell	1998	2
20	Physical mapping of chromosomes using unique probes Symposium on Discrete Algorithms ·Farid Alizadeh,Richard M. Karp,Deborah K. Weisser,Geoffrey Zweig	1994	19

About Geoffrey Zweig

Geoffrey Zweig is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 119 papers that have together received 7.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (78 papers), Natural Language Processing Techniques (54 papers), Speech and Audio Processing (35 papers), Topic Modeling (35 papers), Music and Audio Processing (35 papers), Speech and dialogue systems (32 papers), Algorithms and Data Compression (8 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Artificial Intelligence (5.8k citations), Signal Processing (1.6k citations) and Computer Vision and Pattern Recognition (1.7k citations). Geoffrey Zweig has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Tomáš Mikolov, Wen-tau Yih, Andrei Broder, Mark S. Manasse, Dong Yu, Kaisheng Yao, George Saon, Xiaodong He, Li Deng and Daniel Povey. Their work appears in journals such as Operations Research, IEEE Journal of Selected Topics in Signal Processing and IEEE Transactions on Audio Speech and Language Processing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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