2026 Yen-Kuang Chen: 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	35	11694	11359	1444	1437	183	5287

Research.com Recognitions

2012 - IEEE Fellow For contributions to algorithm-architecture co-design for multimedia signal processing

Overview

Yen-Kuang Chen is affiliated with Alibaba Group in China, contributing to research in areas spanning computer vision, artificial intelligence, and electronic engineering. Their recent work explores topics including advanced neural network applications, domain adaptation, few-shot learning, advanced sensor materials, machine learning methodologies, and data compression techniques.

Their recent papers include:

CHEX: CHannel EXploration for CNN Model Compression, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
MILAN: Masked Image Pretraining on Language Assisted Representation, 2022, arXiv (Cornell University)
Learning from the CNN-based Compressed Domain, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Atomic sulfur-bonded titanium carbide nanosheets for flexible piezoresistive sensor in monitoring sleep apnea syndrome, 2024, Matter
Learning in the Frequency Domain, 2020, arXiv (Cornell University)

Frequent co-authors in Chen's work include Amara Amara, Guoxing Wang, Yong Lian, Manuel Delgado-Restituto, and N Neihart.

Chen's publications often appear in venues such as:

IEEE Transactions on Circuits and Systems I Regular Papers
IEEE Transactions on Circuits and Systems for Video Technology
arXiv (Cornell University)
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Cancers

Their research is situated mainly within subfields including computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, biomedical engineering, and cognitive neuroscience.

Specific research themes covered encompass:

Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Advanced Sensor and Energy Harvesting Materials
Machine Learning and ELM
Advanced Vision and Imaging
Lightning and Electromagnetic Phenomena
Advanced Data Compression Techniques

Chen's career includes recognition as an IEEE Fellow awarded in 2012 for contributions to algorithm-architecture co-design for multimedia signal processing.

Best Publications

Challenges and opportunities of internet of things

Yen-Kuang Chen

443
Citations
Efficient implementation of sorting on multi-core SIMD CPU architecture

Jatin Chhugani;Anthony D. Nguyen;Victor W. Lee;William Macy

316
Citations
The ALPBench benchmark suite for complex multimedia applications

Man-Lap Li;R. Sasanka;S.V. Adve;Yen-Kuang Chen

238
Citations
Learning in the Frequency Domain

Unknown

233
Citations
System for providing a multimedia peer-to-peer computing platform

Matthew Holliman;Rainer Lienhart;Minerva Yeung;Yen-Kuang Chen

181
Citations
Integration of multimodal features for video scene classification based on HMM

J. Huang;Z. Liu;Y. Wang;Y. Chen

161
Citations
Implementation of H.264 encoder and decoder on personal computers

Yen-Kuang Chen;Eric Q. Li;Xiaosong Zhou;Steven Ge

154
Citations
Convergence of Recognition, Mining, and Synthesis Workloads and Its Implications

Yen-Kuang Chen;J. Chhugani;P. Dubey;C.J. Hughes

150
Citations
Implementation of H.264 decoder on general-purpose processors with media instructions

Xiaosong Zhou;Eric Q. Li;Yen-Kuang Chen

142
Citations
On-Line Multi-View Video Summarization for Wireless Video Sensor Network

Shun-Hsing Ou;Chia-Han Lee;V. Srinivasa Somayazulu;Yen-Kuang Chen

111
Citations
Cache-conscious frequent pattern mining on a modern processor

Amol Ghoting;Gregory Buehrer;Srinivasan Parthasarathy;Daehyun Kim

108
Citations
Towards efficient multi-level threading of H.264 encoder on Intel hyper-threading architectures

Yen-Kuang Chen;X. Tian;Steven Ge;M. Girkar

105
Citations
Vector instructions to enable efficient synchronization and parallel reduction operations

Mikhail Smelyanskiy;Sanjeev Kumar;Daehyun Kim;Jatin Chhugani

99
Citations
The energy efficiency of CMP vs. SMT for multimedia workloads

Ruchira Sasanka;Sarita V. Adve;Yen-Kuang Chen;Eric Debes

86
Citations
Frame-rate up-conversion using transmitted true motion vectors

Yen-Kuang Chen;A. Vetro;Huifang Sun;S.Y. Kung

82
Citations
Fast multi-frame motion estimation algorithm with adaptive search strategies in H.264

Xiang Li;E.Q. Li;Yen-Kuang Chen

82
Citations
Gathering and Scattering Multiple Data Elements

Christopher J. Hughes;Yen-Kuang Chen;Mayank Bomb;Jason W. Brandt

79
Citations
Adaptive Parallel Graph Mining for CMP Architectures

Gregory Buehrer;Srinivasan Parthasarathy;Yen-kuang Chen

79
Citations
Improving media services on P2P networks

R. Lienhart;M. Holliman;Yen-Kuang Chen;I. Kozintsev

76
Citations
Parallel scalability in speech recognition

Kisun You;Jike Chong;Youngmin Yi;E. Gonina

73
Citations
Memory Performance and Scalability of Intel's and AMD's Dual-Core Processors: A Case Study

Lu Peng;Jih-Kwon Peir;T.K. Prakash;Yen-Kuang Chen

70
Citations

Frequent Co-Authors

Changkyu Kim Facebook (United States)

Minerva M. Yeung Institute of Electrical and Electronics Engineers

Shao-Yi Chien National Taiwan University

Mikhail Smelyanskiy Nvidia (United States)

Rainer Lienhart University of Augsburg

Pradeep Dubey Intel (United States)

Sarita V. Adve University of Illinois at Urbana-Champaign

Sun-Yuan Kung Princeton University

Srinivasan Parthasarathy The Ohio State University

Anthony Vetro Mitsubishi Electric (United States)

External Links

Personal website of Yen-Kuang Chen Google Scholar page

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

Related Online Degrees & Career Pathways

Exploring online education opens up a range of options for those pursuing Computer Science in the USA. Many students are now seeking graduate degrees that are worth it, focusing on programs with strong job prospects, high salaries, and real-world applicability.

For those looking to begin their studies quickly, several 1 year associate degree programs online offer a fast-track into entry-level tech careers or serve as a stepping stone toward a bachelor’s degree. These programs can be especially appealing for career changers or those eager to enter the workforce.

Cost remains a key concern, but there are numerous affordable online courses and degree options available, allowing students to gain essential skills without excessive debt. Scholarships, payment plans, and tuition discounts also help make online study accessible to a wider audience.

If your academic record isn’t perfect, don’t worry—plenty of online graduate programs that accept 2.0 gpa can help you pursue further education without strict GPA requirements. These programs offer a second chance to build your knowledge and qualifications for a rewarding tech career.