2026 Kihyuk Sohn: 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	36	10961	10654	4557	4366	82	15927

Kihyuk Sohn 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 Kihyuk Sohn sits on this spectrum.

32 publications 991+

This scientist: 82 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Kihyuk Sohn 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 Kihyuk Sohn sits on this spectrum.

30 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Kihyuk Sohn is affiliated with Google in the United States and has contributed extensively to the field of computer science, particularly in areas related to computer vision, artificial intelligence, and machine learning. Their research output spans multiple subfields and topics within computer science, reflecting a focus on advanced techniques in vision and learning systems.

The main fields of study associated with their work include:

Computer Vision and Pattern Recognition
Artificial Intelligence
Computer Graphics and Computer-Aided Design
Epidemiology
Control and Systems Engineering

Key research topics covered in their publications are:

Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Generative Adversarial Networks and Image Synthesis
Anomaly Detection Techniques and Applications
Computer Graphics and Visualization Techniques
Advanced Image and Video Retrieval Techniques
Advanced Vision and Imaging

Frequent coauthors collaborating with Kihyuk Sohn include:

Chunliang Li
Tomas Pfister
Irfan Essa
Jinsung Yoon
José Lezama

They have published primarily in venues such as:

arXiv (Cornell University)
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Proceedings of the AAAI Conference on Artificial Intelligence
Lecture Notes in Computer Science

Recent papers by Kihyuk Sohn demonstrate contributions to semi-supervised learning, anomaly detection, and classification, including:

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence (2020, arXiv (Cornell University))
A Simple Semi-Supervised Learning Framework for Object Detection (2020, arXiv (Cornell University))
Learning and Evaluating Representations for Deep One-class Classification (2020, arXiv (Cornell University))

These papers are noted for their engagement with learning frameworks that target data efficiency and robustness in machine learning models across various computer vision challenges.

Best Publications

Learning structured output representation using deep conditional generative models

Kihyuk Sohn;Xinchen Yan;Honglak Lee

2398
Citations
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Kihyuk Sohn;David Berthelot;Chun-Liang Li;Zizhao Zhang

2329
Citations
Learning to Adapt Structured Output Space for Semantic Segmentation

Yi-Hsuan Tsai;Wei-Chih Hung;Samuel Schulter;Kihyuk Sohn

1576
Citations
Improved deep metric learning with multi-class N-pair loss objective

Kihyuk Sohn

1490
Citations
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

Chun-Liang Li;Kihyuk Sohn;Jinsung Yoon;Tomas Pfister

908
Citations
Attribute2Image: Conditional Image Generation from Visual Attributes

Xinchen Yan;Jimei Yang;Kihyuk Sohn;Honglak Lee

809
Citations
Understanding and improving convolutional neural networks via concatenated rectified linear units

Wenling Shang;Kihyuk Sohn;Diogo Almeida;Honglak Lee

454
Citations
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring

David Berthelot;Nicholas Carlini;Ekin D. Cubuk;Alex Kurakin

452
Citations
Towards Large-Pose Face Frontalization in the Wild

Xi Yin;Xiang Yu;Kihyuk Sohn;Xiaoming Liu

380
Citations
Domain Adaptation for Structured Output via Discriminative Patch Representations

Yi-Hsuan Tsai;Kihyuk Sohn;Samuel Schulter;Manmohan Chandraker

351
Citations
A Simple Semi-Supervised Learning Framework for Object Detection.

Kihyuk Sohn;Zizhao Zhang;Chun-Liang Li;Han Zhang

348
Citations
Feature Transfer Learning for Face Recognition With Under-Represented Data

Xi Yin;Xiang Yu;Kihyuk Sohn;Xiaoming Liu

327
Citations
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

Chen Wei;Kihyuk Sohn;Clayton Mellina;Alan Yuille

285
Citations
Learning to Disentangle Factors of Variation with Manifold Interaction

Scott Reed;Kihyuk Sohn;Yuting Zhang;Honglak Lee

258
Citations
Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction

Yuting Zhang;Kihyuk Sohn;Ruben Villegas;Gang Pan

248
Citations
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling

Andrew Kae;Kihyuk Sohn;Honglak Lee;Erik Learned-Miller

235
Citations
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

David Berthelot;Nicholas Carlini;Ekin D. Cubuk;Alex Kurakin

223
Citations
Online Incremental Feature Learning with Denoising Autoencoders

Guanyu Zhou;Kihyuk Sohn;Honglak Lee

221
Citations
Improved Multimodal Deep Learning with Variation of Information

Kihyuk Sohn;Wenling Shang;Honglak Lee

190
Citations
Learning Invariant Representations with Local Transformations

Kihyuk Sohn;Honglak Lee

186
Citations

Frequent Co-Authors

Manmohan Chandraker University of California, San Diego

Honglak Lee University of Michigan–Ann Arbor

Tomas Pfister Google (United States)

Xiaoming Liu University of North Carolina at Chapel Hill

Jinwoo Shin Korea Advanced Institute of Science and Technology

Ming-Hsuan Yang University of California, Merced

Nicholas Carlini Google (United States)

Colin Raffel University of Toronto

Ekin D. Cubuk Google (United States)

Erik Learned-Miller University of Massachusetts Amherst

External Links

Personal website of Kihyuk Sohn

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