2026 Michael Auli: 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	54	4427	4302	2070	1996	99	28470

Michael Auli publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Michael Auli sits on this spectrum.

32 publications 991+

This scientist: 99 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Michael Auli D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Michael Auli sits on this spectrum.

30 D-Index 131+

This scientist: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Michael Auli is affiliated with Facebook in the United States. Their research primarily falls within the field of Computer Science, with a strong focus on Artificial Intelligence. Additional subfields of study include Signal Processing, Computer Vision and Pattern Recognition, Health Informatics, and Cancer Research.

The main research topics covered by Michael Auli's work encompass:

Speech Recognition and Synthesis
Natural Language Processing Techniques
Topic Modeling
Music and Audio Processing
Speech and dialogue systems
Speech and Audio Processing
Advanced Neural Network Applications

Michael Auli has published extensively, with a significant number of papers appearing in the following venues:

arXiv (Cornell University) - 35 publications
Interspeech 2022 - 6 publications
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) - 1 publication
2022 IEEE Spoken Language Technology Workshop (SLT) - 1 publication
European Journal of Clinical Investigation - 1 publication

Recent notable papers include:

"wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations" (2020), published in arXiv (Cornell University)
"Beyond English-Centric Multilingual Machine Translation" (2020), published in arXiv (Cornell University)
"XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale" (2022), published in Interspeech 2022
"data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" (2022), published in arXiv (Cornell University)
"Scaling Speech Technology to 1,000+ Languages" (2023), published in arXiv (Cornell University)

Michael Auli frequently collaborates with other researchers including:

Alexei Baevski
Wei-Ning Hsu
Alexis Conneau
Changhan Wang
Qiantong Xu

Their body of work emphasizes self-supervised learning approaches and multilingual language technologies, especially in the domain of speech representation and processing. The research spans interdisciplinary applications with contributions to both fundamental AI techniques and specific domains such as speech recognition and multilingual machine translation.

Best Publications

Convolutional Sequence to Sequence Learning

Jonas Gehring;Michael Auli;David Grangier;Denis Yarats

2811
Citations
fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Myle Ott;Sergey Edunov;Alexei Baevski;Angela Fan

2719
Citations
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Alexei Baevski;Henry Zhou;Abdelrahman Mohamed;Michael Auli

2378
Citations
Language modeling with gated convolutional networks

Yann N. Dauphin;Angela Fan;Michael Auli;David Grangier

1797
Citations
Sequence Level Training with Recurrent Neural Networks

Marc'Aurelio Ranzato;Sumit Chopra;Michael Auli;Wojciech Zaremba

1344
Citations
Understanding Back-Translation at Scale.

Sergey Edunov;Myle Ott;Michael Auli;David Grangier

1084
Citations
wav2vec: Unsupervised Pre-Training for Speech Recognition.

Steffen Schneider;Alexei Baevski;Ronan Collobert;Michael Auli

1076
Citations
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training

Dario Pavllo;Christoph Feichtenhofer;David Grangier;Michael Auli

1068
Citations
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

Sumit Chopra;Michael Auli;Alexander M. Rush

1031
Citations
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

Alessandro Sordoni;Michel Galley;Michael Auli;Chris Brockett

986
Citations
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Alexei Baevski;Yuhao Zhou;Abdelrahman Mohamed;Michael Auli

739
Citations
Wizard of Wikipedia: Knowledge-Powered Conversational Agents

Emily Dinan;Stephen Roller;Kurt Shuster;Angela Fan

697
Citations
Scaling Neural Machine Translation

Myle Ott;Sergey Edunov;David Grangier;Michael Auli

617
Citations
Pay Less Attention with Lightweight and Dynamic Convolutions

Felix Wu;Angela Fan;Alexei Baevski;Yann N. Dauphin

539
Citations
Unsupervised Cross-lingual Representation Learning for Speech Recognition

Alexis Conneau;Alexei Baevski;Ronan Collobert;Abdelrahman Mohamed

539
Citations
Beyond English-Centric Multilingual Machine Translation

Angela Fan;Shruti Bhosale;Holger Schwenk;Zhiyi Ma

493
Citations
A Convolutional Encoder Model for Neural Machine Translation

Jonas Gehring;Michael Auli;David Grangier;Yann N. Dauphin

480
Citations
Neural Text Generation from Structured Data with Application to the Biography Domain

Rémi Lebret;David Grangier;Michael Auli

466
Citations
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Arun Babu;Changhan Wang;Andros Tjandra;Kushal Lakhotia

444
Citations
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations

Alexei Baevski;Steffen Schneider;Michael Auli

422
Citations
Facebook FAIR’s WMT19 News Translation Task Submission

Nathan Ng;Kyra Yee;Alexei Baevski;Myle Ott

336
Citations

Frequent Co-Authors

David Grangier Google (United States)

Myle Ott Facebook (United States)

Marc'Aurelio Ranzato DeepMind (United Kingdom)

Yann N. Dauphin Google (United States)

Alexis Conneau Facebook (United States)

Jianfeng Gao Microsoft (United States)

Michel Galley Microsoft (United States)

Ronan Collobert Facebook (United States)

Chris Brockett Microsoft (United States)

Margaret Mitchell Hugging Face

External Links

Personal website of Michael Auli Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring online degree options can expand your opportunities within computer science and related fields. If you’re looking for a quicker path to graduation, many universities offer an accelerated computer science degree online, helping you jumpstart your tech career in less time.

For those interested in multidisciplinary or STEM pathways, consider branching into environmental or mechanical engineering. There are reputable institutions offering the cheapest online environmental science degree, perfect for students conscious of tuition costs and seeking flexibility.

Likewise, the cheapest mechanical engineering degree online allows working professionals or career-changers to build in-demand engineering skills affordably.

Curious about science beyond computing? You may wonder, can you get a physics degree online? The answer is yes—opening up new scientific and analytical career options. Exploring these related online degrees helps you find the right fit for your ambitions, budget, and lifestyle.