2026 H. T. 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	78	1165	1127	618	594	346	41322

Overview

H. T. Kung is affiliated with Harvard University in the United States and has contributed extensively to research in computer science and engineering. Their work spans various fields with a particular focus on computer vision, artificial intelligence, and industrial and manufacturing engineering.

The scientist's recent publications cover diverse topics and include:

Twitter Geolocation and Regional Classification via Sparse Coding, 2021, Proceedings of the International AAAI Conference on Web and Social Media
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs, 2020, arXiv (Cornell University)
A Task-Oriented Deep Learning Approach for Human Localization, 2024, IEEE Transactions on Cognitive and Developmental Systems
Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels, 2023, arXiv (Cornell University)

Frequent coauthors in their research include Sai Qian Zhang, Xin Dong, B. De Salvo, Ziyun Li, and Vikas Natesh.

The scientist's research has been published predominantly in:

arXiv (Cornell University)
Proceedings of the International AAAI Conference on Web and Social Media
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE Transactions on Cognitive and Developmental Systems
Journal of Intelligent Manufacturing

Main fields of study include:

Computer Science
Engineering

Subfields with significant contributions are:

Computer Vision and Pattern Recognition
Artificial Intelligence
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering
Mechanical Engineering

The research topics cover:

Advanced Neural Network Applications
Advanced Image and Video Retrieval Techniques
Manufacturing Process and Optimization
Advanced machining processes and optimization
Indoor and Outdoor Localization Technologies
Sparse and Compressive Sensing Techniques
Optical Imaging and Spectroscopy Techniques

Best Publications

GPSR: greedy perimeter stateless routing for wireless networks

Brad Karp;H. T. Kung

11077
Citations
On optimistic methods for concurrency control

H. T. Kung;John T. Robinson

2164
Citations
Systolic Arrays for (VLSI).

H T Kung;Charles E Leiserson

1457
Citations
On Finding the Maxima of a Set of Vectors

H. T. Kung;F. Luccio;F. P. Preparata

1240
Citations
BranchyNet: Fast inference via early exiting from deep neural networks

Surat Teerapittayanon;Bradley McDanel;H.T. Kung

1137
Citations
Optimal Order of One-Point and Multipoint Iteration

H. T. Kung;J. F. Traub

887
Citations
Matrix Triangularization By Systolic Arrays

W. M. Gentleman;H. T. Kung

854
Citations
Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices

Surat Teerapittayanon;Bradley McDanel;H.T. Kung

809
Citations
Sorting on a mesh-connected parallel computer

C. D. Thompson;H. T. Kung

709
Citations
I/O complexity: The red-blue pebble game

Hong Jia-Wei;H. T. Kung

626
Citations
On the Average Number of Maxima in a Set of Vectors and Applications

J. L. Bentley;H. T. Kung;M. Schkolnick;C. D. Thompson

498
Citations
iWarp: an integrated solution to high-speed parallel computing

S. Borkar;R. Cohn;G. Cox;S. Gleason

492
Citations
The Warp Computer: Architecture, Implementation, and Performance

Marco Annaratone;Emmanuel Arnould;Thomas Gross;H. T. Kung

449
Citations
Design of special-purpose VLSI chips: Example and opinions

M. J. Foster;H. T. Kung

405
Citations
Fast Algorithms for Manipulating Formal Power Series

R. P. Brent;H. T. Kung

383
Citations
Efficient location tracking using sensor networks

H.T. Kung;D. Vlah

373
Citations
The Structure of Parallel Algorithms.

H. T. Kung

369
Citations
Direct VLSI Implementation of Combinatorial Algorithms

L. J. Guibas;H. T. Kung;C. D. Thompson

364
Citations
Compressive sensing based channel feedback protocols for spatially-correlated massive antenna arrays

Ping-Heng Kuo;H. T. Kung;Pang-An Ting

355
Citations
Ad hoc relay wireless networks over moving vehicles on highways

Zong Da Chen;H.T. Kung;Dario Vlah

339
Citations
Geographic routing for wireless networks

H. T. Kung;Brad Nelson Karp

327
Citations

Frequent Co-Authors

Richard P. Brent Australian National University

Monica S. Lam Stanford University

Christos H. Papadimitriou Columbia University

Vahid Tarokh Duke University

William M. Campbell Amazon (United States)

Joseph F. Traub Columbia University

Peter Steenkiste Carnegie Mellon University

Margo Seltzer University of British Columbia

Shekhar Borkar Qualcomm (United States)

Shilpa Talwar Intel (United States)

External Links

Wikipedia of H. T. Kung Google Scholar page

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