2026 Kevin Duh: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	46	6918	6716	3028	2913	208	7373

Overview

Kevin Duh is affiliated with Johns Hopkins University in the United States. Their primary research domain is Computer Science, with a focus on Artificial Intelligence among other subfields such as Computer Vision and Pattern Recognition, Information Systems, Signal Processing, and Statistical and Nonlinear Physics.

Their work covers several main topics, including:

Natural Language Processing Techniques
Topic Modeling
Speech Recognition and Synthesis
Multimodal Machine Learning Applications
Text Readability and Simplification
Advanced Graph Neural Networks
Complex Network Analysis Techniques

Kevin Duh's research contributions are documented across various publication venues, notably:

arXiv (Cornell University)
Proceedings of the International AAAI Conference on Web and Social Media
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Transactions of the Association for Computational Linguistics
Thrombosis Journal

Their recent papers include:

"Very Deep Transformers for Neural Machine Translation," 2020, arXiv (Cornell University)
"Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields," 2024, arXiv (Cornell University)
"Creating Stories: Social Curation of Twitter Messages," 2021, Proceedings of the International AAAI Conference on Web and Social Media
"When Does Unsupervised Machine Translation Work?," 2020, arXiv (Cornell University)
"Data and Parameter Scaling Laws for Neural Machine Translation," 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Kevin Duh frequently collaborates with several researchers, including:

Shinji Watanabe
Matthew Wiesner
Sanjeev Khudanpur
Kenton Murray
Dawn Lawrie

Best Publications

DyNet: The Dynamic Neural Network Toolkit

Graham Neubig;Chris Dyer;Yoav Goldberg;Austin Matthews

546
Citations
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval

Xiaodong Liu;Jianfeng Gao;Xiaodong He;Li Deng

459
Citations
Automatic Evaluation of Translation Quality for Distant Language Pairs

Hideki Isozaki;Tsutomu Hirao;Kevin Duh;Katsuhito Sudoh

365
Citations
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension.

Sheng Zhang;Xiaodong Liu;Jingjing Liu;Jianfeng Gao

305
Citations
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning

Mitchell A. Gordon;Kevin Duh;Nicholas Andrews

287
Citations
Stochastic Answer Networks for Machine Reading Comprehension

Xiaodong Liu;Yelong Shen;Kevin Duh;Jianfeng Gao

231
Citations
ESPnet-ST: All-in-One Speech Translation Toolkit

Hirofumi Inaguma;Shun Kiyono;Kevin Duh;Shigeki Karita

170
Citations
Findings of the IWSLT 2022 Evaluation Campaign

Unknown

156
Citations
Morphology-Based Language Modeling for Arabic Speech Recognition

Dimitra Vergyri;Katrin Kirchhoff;Kevin Duh;Andreas Stolcke

145
Citations
Morphology-based language modeling for conversational Arabic speech recognition

Katrin Kirchhoff;Dimitra Vergyri;Jeff A. Bilmes;Kevin Duh

142
Citations
Ordinal Common-sense Inference

Sheng Zhang;Rachel Rudinger;Kevin Duh;Benjamin Van Durme

134
Citations
Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation

Brian Thompson;Jeremy Gwinnup;Huda Khayrallah;Kevin Duh

133
Citations
A framework for analyzing semantic change of words across time

Adam Jatowt;Kevin Duh

131
Citations
Learning to rank with partially-labeled data

Kevin Duh;Katrin Kirchhoff

130
Citations
An Empirical Exploration of Curriculum Learning for Neural Machine Translation

Xuan Zhang;Gaurav Kumar;Huda Khayrallah;Kenton Murray

129
Citations
Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation

Kevin Duh;Graham Neubig;Katsuhito Sudoh;Hajime Tsukada

126
Citations
Curriculum Learning for Domain Adaptation in Neural Machine Translation

Xuan Zhang;Pamela Shapiro;Gaurav Kumar;Paul McNamee

125
Citations
Head Finalization: A Simple Reordering Rule for SOV Languages

Hideki Isozaki;Katsuhito Sudoh;Hajime Tsukada;Kevin Duh

119
Citations
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?

Sorami Hisamoto;Matt Post;Kevin Duh

116
Citations
AMR Parsing as Sequence-to-Graph Transduction.

Sheng Zhang;Xutai Ma;Kevin Duh;Benjamin Van Durme

106
Citations
Very Deep Transformers for Neural Machine Translation

Xiaodong Liu;Kevin Duh;Liyuan Liu;Jianfeng Gao

68
Citations
Membership Inference Attacks on Sequence-to-Sequence Models

Sorami Hisamoto;Matt Post;Kevin Duh

2
Citations

Frequent Co-Authors

Yuji Matsumoto Nara Institute of Science and Technology

Benjamin Van Durme Johns Hopkins University

Philipp Koehn Johns Hopkins University

Katrin Kirchhoff Amazon (United States)

Shinji Watanabe Carnegie Mellon University

Graham Neubig Carnegie Mellon University

Jianfeng Gao Microsoft (United States)

Taku Komura University of Edinburgh

Tatsuya Kawahara Kyoto University

Jeff A. Bilmes University of Washington

External Links

Personal website of Kevin Duh Google Scholar page

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