2026 Yi Ma: 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	90	592	575	83	81	259	76209

Research.com Recognitions

2026 - Research.com Computer Science in China Leader Award
2020 - SIAM Fellow For contributions to the theory and algorithms for low-dimensional models and their applications in computer vision and image processing.
2017 - ACM Fellow For contributions to theory and application of low-dimensional models for computer vision and pattern recognition
2013 - IEEE Fellow For contributions to computer vision and pattern recognition

Overview

Yi Ma is affiliated with the University of California, Berkeley in the United States. Their research spans multiple areas within computer science and engineering, with a particular focus on computer vision, pattern recognition, and advanced neural network applications.

The main fields of study for Yi Ma include:

Computer Science
Engineering

The subfields in which they have published extensively are:

Computer Vision and Pattern Recognition
Artificial Intelligence
Aerospace Engineering
Electrical and Electronic Engineering
Computational Mechanics

Yi Ma's work covers a variety of topics, including:

Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Robotics and Sensor-Based Localization
Advanced Vision and Imaging
Anomaly Detection Techniques and Applications
Advanced Combustion Engine Technologies
Sparse and Compressive Sensing Techniques

Frequent publication venues where Yi Ma has contributed include:

arXiv (Cornell University)
Signal Image and Video Processing
ACS Omega
Energies
Scientific Reports

Yi Ma has collaborated often with the following coauthors:

Haozhi Qi
Yaodong Yu
Jun Fu
Xili Dai
Shengbang Tong

Examples of recent publications include:

"High-Entropy-Alloy-Nanoparticles Enabled Wood Evaporator for Efficient Photothermal Conversion and Sustainable Solar Desalination," 2022, Advanced Energy Materials
"Rethinking Bias-Variance Trade-off for Generalization of Neural Networks," 2020, arXiv (Cornell University)
"Over 11 kg m^-2 h^-1 Evaporation Rate Achieved by Cooling Metal-Organic Framework Foam with Pine Needle-Like Hierarchical Structures to Subambient Temperature," 2022, ACS Applied Materials & Interfaces
"Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction," 2020, arXiv (Cornell University)
"LungAttn: advanced lung sound classification using attention mechanism with dual TQWT and triple STFT spectrogram," 2021, Physiological Measurement

Yi Ma has been recognized with several awards, including:

SIAM Fellow in 2020 for contributions to theory and algorithms for low-dimensional models and their applications in computer vision and image processing
ACM Fellow in 2017 for contributions to theory and application of low-dimensional models for computer vision and pattern recognition
IEEE Fellow in 2013 for contributions to computer vision and pattern recognition

Best Publications

Robust Face Recognition via Sparse Representation

J. Wright;A.Y. Yang;A. Ganesh;S.S. Sastry

12048
Citations
Robust principal component analysis

Emmanuel J. Candès;Xiaodong Li;Yi Ma;John Wright

9616
Citations
Image Super-Resolution Via Sparse Representation

Jianchao Yang;John Wright;Thomas S Huang;Yi Ma

6326
Citations
Robust Recovery of Subspace Structures by Low-Rank Representation

Guangcan Liu;Zhouchen Lin;Shuicheng Yan;Ju Sun

3828
Citations
An Invitation to 3-D Vision: From Images to Geometric Models

Yi Ma;Stefano Soatto;Jana Koseck;S. Shankar Sastry

2669
Citations
RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images

Yigang Peng;A. Ganesh;J. Wright;Wenli Xu

2376
Citations
A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography

Oleg Kuybeda;Gabriel A. Frank;Alberto Bartesaghi;Mario Borgnia

2354
Citations
Sparse Representation for Computer Vision and Pattern Recognition

John Wright;Yi Ma;Julien Mairal;Guillermo Sapiro

2344
Citations
PCANet: A Simple Deep Learning Baseline for Image Classification?

Tsung-Han Chan;Kui Jia;Shenghua Gao;Jiwen Lu

2203
Citations
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network

Yingying Zhang;Desen Zhou;Siqin Chen;Shenghua Gao

2191
Citations
Image super-resolution as sparse representation of raw image patches

Jianchao Yang;J. Wright;T. Huang;Yi Ma

2081
Citations
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization

John Wright;Arvind Ganesh;Shankar Rao;Yigang Peng

2046
Citations
Generalized principal component analysis (GPCA)

R. Vidal;Yi Ma;S. Sastry

1495
Citations
Detecting texts of arbitrary orientations in natural images

Cong Yao;Xiang Bai;Wenyu Liu;Yi Ma

945
Citations
Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation

A. Wagner;J. Wright;A. Ganesh;Zihan Zhou

870
Citations
On the Role of Sparse and Redundant Representations in Image Processing

Michael Elad;Mario A T Figueiredo;Yi Ma

869
Citations
An Invitation to 3-D Vision

Yi Ma;Stefano Soatto;Jana Košecká;S. Shankar Sastry

807
Citations
Unsupervised segmentation of natural images via lossy data compression

Allen Y. Yang;John Wright;Yi Ma;S. Shankar Sastry

679
Citations
Stable Principal Component Pursuit

Zihan Zhou;Xiaodong Li;John Wright;Emmanuel Candes

673
Citations
Compressive Sensing via Nonlocal Low-Rank Regularization

Weisheng Dong;Guangming Shi;Xin Li;Yi Ma

631
Citations
ECE 598: An Invitation to 3-D Vision: From Images to Geometric Models

Yi Ma

2
Citations

Frequent Co-Authors

Shankar Sastry University of California, Berkeley

Allen Y. Yang University of California, Berkeley

René Vidal University of Pennsylvania

Jana Kosecka George Mason University

Stefano Soatto University of California, Los Angeles

Zhouchen Lin Peking University

Shenghua Gao ShanghaiTech University

Kui Jia South China University of Technology

Emmanuel J. Candès Stanford University

Thomas S. Huang University of Illinois at Urbana-Champaign

External Links

Personal website of Yi Ma Google Scholar page

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