2026 Sun-Yuan Kung: 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	66	2269	2200	1133	1092	474	25389

Research.com Recognitions

1988 - IEEE Fellow For contributions to very-large-scale-integrated arrays for signal processing.

Overview

Sun-Yuan Kung is affiliated with Princeton University in the United States. Their research primarily spans the field of Computer Science, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering.

The scientist's work covers multiple topics, including:

Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Anomaly Detection Techniques and Applications
Advanced Image Processing Techniques
Advanced Vision and Imaging
Adversarial Robustness in Machine Learning
Multimodal Machine Learning Applications

Some of the recent papers authored by or involving Sun-Yuan Kung include:

CHEX: CHannel EXploration for CNN Model Compression, 2022, published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
A Novel Multi-Stage Training Approach for Human Activity Recognition From Multimodal Wearable Sensor Data Using Deep Neural Network, 2020, IEEE Sensors Journal
Adversarial Learning for Multiscale Crowd Counting Under Complex Scenes, 2020, IEEE Transactions on Cybernetics
Intelligent security and optimization in Edge/Fog Computing, 2020, Future Generation Computer Systems
Exploiting Operation Importance for Differentiable Neural Architecture Search, 2021, IEEE Transactions on Neural Networks and Learning Systems

The scientist frequently collaborates with the following co-authors:

Yuan Zhou
Zejiang Hou
Shuwei Huo
Shaikh Anowarul Fattah
Yogendra Rao Musunuri

Publication venues where Sun-Yuan Kung's work is commonly featured include:

arXiv (Cornell University)
SSRN Electronic Journal
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Multimedia

In 1988, Sun-Yuan Kung was awarded the IEEE Fellow title for contributions to very-large-scale-integrated arrays for signal processing.

Best Publications

VLSI Array processors

S. Kung

2398
Citations
Optical interconnections for VLSI systems

J.W. Goodman;F.J. Leonberger;Sun-Yuan Kung;R.A. Athale

1768
Citations
Principal Component Neural Networks: Theory and Applications

K. I. Diamantaras;S. Y. Kung

1638
Citations
Face recognition/detection by probabilistic decision-based neural network

Shang-Hung Lin;Sun-Yuan Kung;Long-Ji Lin

956
Citations
Information Exchange in Wireless Networks with Network Coding and Physical-layer Broadcast

Yunnan Wu;Philip A. Chou;Sun-Yuan Kung

948
Citations
Digital Neural Networks

S. Y. Kung

847
Citations
A new identification and model reduction algorithm via singular value decomposition

S. Y. Kung

841
Citations
Variable-phase-shift-based RF-baseband codesign for MIMO antenna selection

Xinying Zhang;A.F. Molisch;Sun-Yuan Kung

718
Citations
State-space and singular-value decomposition-based approximation methods for the harmonic retrieval problem

S. Y. Kung;K. S. Arun;D. V. Bhaskar Rao

555
Citations
On supercomputing with systolic/wavefront array processors

Sun-Yuan Kung

530
Citations
Minimum-energy multicast in mobile ad hoc networks using network coding

Yunnan Wu;P.A. Chou;Sun-Yuan Kung

525
Citations
Optimal Hankel-norm model reductions: Multivariable systems

Sun-yuan Kung;David Lin

426
Citations
Wavefront Array Processor: Language, Architecture, and Applications

Sun-Yuan Kung;Arun;Gal-Ezer;Bhaskar Rao

407
Citations
Network planning in wireless ad hoc networks: a cross-Layer approach

Y. Wu;P.A. Chou;Qian Zhang;K. Jain

334
Citations
Neural network for locating and recognizing a deformable object

Sun-Yuan Kung;Shang-Hung Lin;Long-Ji Lin;Ming Fang

334
Citations
Adaptive notch filtering for the retrieval of sinusoids in noise

D.B. Rao;Sun-Yuan Kung

331
Citations
VLSI and Modern Signal Processing

S. Y. Kung;Thomas Kailath;Harper J. Whitehouse

330
Citations
Kernel Methods and Machine Learning

S. Y. Kung

311
Citations
Biometric Authentication: A Machine Learning Approach

S. Y. Kung;M. W. Mak;S. H. Lin

265
Citations
A neural network learning algorithm for adaptive principal component extraction (APEX)

S.Y. Kung;K.I. Diamantaras

252
Citations
Greatest common divisor via generalized Sylvester and Bezout matrices

R. Bitmead;S.-Y. Kung;B. Anderson;T. Kailath

245
Citations
New results in 2-D systems theory, part I: 2-D polynomial matrices, factorization, and coprimeness

M. Morf;B.C. Levy;Sun-Yuan Kung

244
Citations

Frequent Co-Authors

Jenq-Neng Hwang University of Washington

Thomas Kailath Stanford University

Yue Wang Zhejiang University

Anthony Vetro Mitsubishi Electric (United States)

Yu Hen Hu University of Wisconsin–Madison

Huifang Sun Mitsubishi Electric (United States)

Yen-Kuang Chen Alibaba Group (China)

Ling Guan Toronto Metropolitan University

Andreas F. Molisch University of Southern California

Chad L. Myers University of Minnesota

External Links

Personal website of Sun-Yuan Kung Google Scholar page

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