2026 Bryan Catanzaro: 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	52	4941	4805	2295	2216	125	28933

Overview

Bryan Catanzaro is affiliated with Nvidia in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research output spans 178 publications primarily categorized under computer science.

The subfields of study in which they have published include:

Artificial Intelligence
Computer Vision and Pattern Recognition
Signal Processing
Electrical and Electronic Engineering
Information Systems

The main research topics covered by their work consist of:

Topic Modeling
Natural Language Processing Techniques
Speech Recognition and Synthesis
Music and Audio Processing
Multimodal Machine Learning Applications
Speech and Audio Processing
Generative Adversarial Networks and Image Synthesis

Among their recent papers are:

"Hierarchical Multi-Scale Attention for Semantic Segmentation," 2020, arXiv (Cornell University)
"Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model," 2022, arXiv (Cornell University)
"eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers," 2022, arXiv (Cornell University)
"Video-to-Video Synthesis," 2025, arXiv (Cornell University)
"DiffWave: A Versatile Diffusion Model for Audio Synthesis," 2020, arXiv (Cornell University)

Their frequent co-authors include:

Mohammad Shoeybi
Mostofa Patwary
Andrew Tao
Rafael Valle
Shrimai Prabhumoye

Bryan Catanzaro has published extensively in the following venues:

arXiv (Cornell University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
IEEE Micro
2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Best Publications

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Ting-Chun Wang;Ming-Yu Liu;Jun-Yan Zhu;Andrew Tao

4514
Citations
The Landscape of Parallel Computing Research: A View from Berkeley

Krste Asanovic;Ras Bodik;Bryan Christopher Catanzaro;Joseph James Gebis

3050
Citations
Deep speech 2: end-to-end speech recognition in English and mandarin

Dario Amodei;Sundaram Ananthanarayanan;Rishita Anubhai;Jingliang Bai

2957
Citations
Image Inpainting for Irregular Holes Using Partial Convolutions

Guilin Liu;Fitsum A. Reda;Kevin J. Shih;Ting-Chun Wang

2288
Citations
Deep Speech: Scaling up end-to-end speech recognition

Awni Y. Hannun;Carl Case;Jared Casper;Bryan Catanzaro

2049
Citations
cuDNN: Efficient Primitives for Deep Learning

Sharan Chetlur;Cliff Woolley;Philippe Vandermersch;Jonathan Cohen

1767
Citations
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Mohammad Shoeybi;Mostofa Patwary;Raul Puri;Patrick LeGresley

1011
Citations
Waveglow: A Flow-based Generative Network for Speech Synthesis

Ryan Prenger;Rafael Valle;Bryan Catanzaro

950
Citations
Deep learning with COTS HPC systems

Adam Coates;Brody Huval;Tao Wang;David Wu

880
Citations
PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation

Andreas Klöckner;Nicolas Pinto;Yunsup Lee;Bryan Catanzaro

730
Citations
Video-to-Video Synthesis

Ting-Chun Wang;Ming-Yu Liu;Jun-Yan Zhu;Guilin Liu

585
Citations
Fast support vector machine training and classification on graphics processors

Bryan Catanzaro;Narayanan Sundaram;Kurt Keutzer

532
Citations
Improving Semantic Segmentation via Video Propagation and Label Relaxation

Yi Zhu;Karan Sapra;Fitsum A. Reda;Kevin J. Shih

453
Citations
DiffWave: A Versatile Diffusion Model for Audio Synthesis

Zhifeng Kong;Wei Ping;Jiaji Huang;Kexin Zhao

407
Citations
Hierarchical Multi-Scale Attention for Semantic Segmentation

Andrew Tao;Karan Sapra;Bryan Catanzaro

381
Citations
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Dario Amodei;Rishita Anubhai;Eric Battenberg;Carl Case

328
Citations
Efficient large-scale language model training on GPU clusters using megatron-LM

Deepak Narayanan;Mohammad Shoeybi;Jared Casper;Patrick LeGresley

302
Citations
Copperhead: compiling an embedded data parallel language

Bryan Catanzaro;Michael Garland;Kurt Keutzer

274
Citations
Malware Detection by Eating a Whole EXE

Edward Raff;Jon Barker;Jared Sylvester;Robert Brandon

267
Citations
Graphical Contrastive Losses for Scene Graph Parsing

Ji Zhang;Kevin J. Shih;Ahmed Elgammal;Andrew Tao

224
Citations
Few-shot Video-to-Video Synthesis

Ting-Chun Wang;Ming-Yu Liu;Andrew Tao;Guilin Liu

145
Citations

Frequent Co-Authors

Kurt Keutzer University of California, Berkeley

Adam Coates Apple (United States)

Jan Kautz Nvidia (United States)

Robert M. Kirby University of Utah

Ahmed Elgammal Rutgers, The State University of New Jersey

Dani Yogatama University of Southern California

Ming-Yu Liu Nvidia (United States)

Andrew Y. Ng Stanford University

Nadathur Satish Facebook (United States)

Changkyu Kim Facebook (United States)

External Links

Personal website of Bryan Catanzaro Google Scholar page

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