2026 Allen Y. Yang: 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	38	9938	9655	4176	4003	116	18592

Overview

Allen Y. Yang is affiliated with the University of California, Berkeley in the United States. Their research spans multiple domains within computer science and engineering, with a particular focus on areas related to computer vision, graphics, and augmented reality.

The scientist's main fields of study include:

Computer Science
Engineering

Within these fields, their work delves into several subfields such as:

Computer Vision and Pattern Recognition
Computational Mechanics
Computer Graphics and Computer-Aided Design
Geology
Artificial Intelligence

The core topics that feature prominently in their research include:

Advanced Vision and Imaging
3D Shape Modeling and Analysis
Computer Graphics and Visualization Techniques
Augmented Reality Applications
3D Surveying and Cultural Heritage
Advanced Image and Video Retrieval Techniques
Remote Sensing and LiDAR Applications

Allen Y. Yang has published extensively in a variety of venues. The most frequent publication venues include:

arXiv (Cornell University)
2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
International Journal of Big Data Intelligence
Nanomaterials
International Journal of Architectural Computing

Recent representative papers by Allen Y. Yang include:

"Optimization and Manipulation of Contextual Mutual Spaces for Multi-User Virtual and Augmented Reality Interaction" (2020, 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR))
"Architecting Nanostructured Co-BTC@GO Composites for Supercapacitor Electrode Application" (2022, Nanomaterials)
"Optimization and Manipulation of Contextual Mutual Spaces for Multi-User Virtual and Augmented Reality Interaction" (2020, 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR))
"Synthesis and generation for 3D architecture volume with generative modeling" (2023, International Journal of Architectural Computing)
"SceneGen: Generative Contextual Scene Augmentation using Scene Graph Priors" (2020, arXiv (Cornell University))

The scientist collaborates frequently with several co-authors including:

Luisa Caldas
Mohammad Keshavarzi
Oladapo Afolabi
Woojin Ko
Xinwei Zhuang

Best Publications

Robust Face Recognition via Sparse Representation

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

12048
Citations
Unsupervised segmentation of natural images via lossy data compression

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

679
Citations
Fast ℓ 1 -minimization algorithms and an application in robust face recognition: A review

Allen Y. Yang;S. Shankar Sastry;Arvind Ganesh;Yi Ma

592
Citations
Fast $ll_{1}$ -Minimization Algorithms for Robust Face Recognition

A. Y. Yang;Zihan Zhou;A. G. Balasubramanian;S. S. Sastry

437
Citations
Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed Data

Yi Ma;Allen Y. Yang;Harm Derksen;Robert Fossum

316
Citations
CITRIC: A low-bandwidth wireless camera network platform

P. Chen;P. Ahammad;C. Boyer;Shih-I Huang

266
Citations
Distributed recognition of human actions using wearable motion sensor networks

Allen Y. Yang;Roozbeh Jafari;S. Shankar Sastry;Ruzena Bajcsy

265
Citations
Feature Selection in Face Recognition: A Sparse Representation Perspective

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

231
Citations
Segmentation of Natural Images by Texture and Boundary Compression

Hossein Mobahi;Shankar R. Rao;Allen Y. Yang;Shankar S. Sastry

203
Citations
Compressive Phase Retrieval From Squared Output Measurements Via Semidefinite Programming

Henrik Ohlsson;Henrik Ohlsson;Allen Y. Yang;Roy Dong;S. Shankar Sastry

169
Citations
Natural image segmentation with adaptive texture and boundary encoding

Shankar R. Rao;Hossein Mobahi;Allen Y. Yang;S. Shankar Sastry

152
Citations
A Convex Optimization Framework for Active Learning

Ehsan Elhamifar;Guillermo Sapiro;Allen Yang;S. Shankar Sasrty

144
Citations
Fast L1-Minimization Algorithms For Robust Face Recognition

Allen Y. Yang;Zihan Zhou;Arvind Ganesh;S. Shankar Sastry

140
Citations
Distributed segmentation and classification of human actions using a wearable motion sensor network

A.Y. Yang;S. Iyengar;S. Sastry;R. Bajcsy

138
Citations
A Review of Fast L(1)-Minimization Algorithms for Robust Face Recognition

Allen Y. Yang;Arvind Genesh;Zihan Zhou;S.S . Sastry

129
Citations
System for detection of body motion

Ruzena Bajcsy;Allen Y. Yang;S. Shankar Sastry;Roozbeh Jafari

127
Citations
CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem

Henrik Ohlsson;Allen Yang;Roy Dong;Shankar Sastry

127
Citations
DexterNet: An Open Platform for Heterogeneous Body Sensor Networks and its Applications

Philip Kuryloski;Annarita Giani;Roberta Giannantonio;Katherine Gilani

118
Citations
Method and apparatus for searching images

Sleiman Itani;Allen Yang Yang

113
Citations
On Symmetry and Multiple-View Geometry: Structure, Pose, and Calibration from a Single Image

Wei Hong;Allen Yang Yang;Kun Huang;Yi Ma

112
Citations

Frequent Co-Authors

Shankar Sastry University of California, Berkeley

Yi Ma University of Hong Kong

Ruzena Bajcsy University of California, Berkeley

Roozbeh Jafari Texas A&M University

Subhransu Maji University of Massachusetts Amherst

Edmund Seto University of Washington

Sriram Vishwanath The University of Texas at Austin

Jitendra Malik University of California, Berkeley

Michel Verhaegen Delft University of Technology

Michael Gastpar École Polytechnique Fédérale de Lausanne

External Links

Personal website of Allen Y. Yang Google Scholar page

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

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to various related online degrees and career options. Many students are now considering fast degrees online to quickly gain skills and enter the tech workforce. These programs allow you to build job-ready expertise without lengthy commitments, offering flexibility for busy schedules.

For those fascinated by innovation, earning an artificial intelligence degree online is becoming increasingly popular. AI specialists are in high demand, and affordable online programs make this sought-after field accessible from anywhere.

Deciding between college programs can feel overwhelming. It’s wise to consider your interests, job market trends, and course difficulty. If you’re seeking a smoother academic journey, easy masters programs could provide an efficient path to advancing your education without unnecessary stress.

Researching these options ensures you select a pathway that fits your goals—whether you're starting your career or aiming for advanced expertise in computer science and related fields.