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Computer Science
China
2025

D-Index & Metrics

Computer Science

D-Index
80
Citations
25485
World Ranking
1083
National Ranking
154

Electronics and Electrical Engineering

D-Index
76
Citations
22901
World Ranking
643
National Ranking
99

Research.com Recognitions

  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2000 - IEEE Fellow For contributions to innovative techniques for testing and synthesis of electronic circuits.

Overview

Kwang-Ting Cheng is affiliated with the Hong Kong University of Science and Technology in China. Their research spans multiple fields, primarily focusing on computer science, engineering, and medicine. Cheng's work has been published extensively in areas including computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, radiology, nuclear medicine and imaging, and biomedical engineering.

Their main research topics cover advanced neural network applications, AI in cancer detection, radiomics and machine learning in medical imaging, domain adaptation and few-shot learning, advanced memory and neural computing, medical image segmentation techniques, and COVID-19 diagnosis using AI.

Cheng has authored numerous papers, including notable recent publications such as:

  • The 2021 flexible and printed electronics roadmap (2021), published in Flexible and Printed Electronics
  • Roadmap on emerging hardware and technology for machine learning (2020), published in Nanotechnology
  • Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data (2020), published in IEEE Journal of Biomedical and Health Informatics
  • Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborators of Cheng include Hao Chen with 30 joint publications, Zengqiang Yan with 25, Zechun Liu with 24, Xin Yang with 20, and Zhiqiang Shen with 16 publications together.

Their work has been regularly featured in prominent venues, with a strong presence in:

  • arXiv (Cornell University) with 91 publications
  • IEEE Transactions on Medical Imaging with 10 publications
  • Medical Image Analysis with 6 publications
  • IEEE Journal of Biomedical and Health Informatics with 5 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 4 publications

Kwang-Ting Cheng received the IEEE Fellow award in 2000 for contributions to innovative techniques for testing and synthesis of electronic circuits.

Best Publications

  • Fast Human Detection Using a Cascade of Histograms of Oriented Gradients

    Qiang Zhu;Mei-Chen Yeh;Kwang-Ting Cheng;S. Avidan

  • Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm

    Zechun Liu;Baoyuan Wu;Wenhan Luo;Xin Yang

  • MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning

    Zechun Liu;Haoyuan Mu;Xiangyu Zhang;Zichao Guo

  • Biocompatible and totally disintegrable semiconducting polymer for ultrathin and ultralightweight transient electronics

    Ting Lei;Ming Guan;Jia Liu;Hung-Cheng Lin

  • A partial scan method for sequential circuits with feedback

    K.-T. Cheng;V.D. Agrawal

  • Delay fault testing for VLSI circuits

    Angela Krstić;Kwang-Ting Cheng

  • Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation

    Zengqiang Yan;Xin Yang;Kwang-Ting Cheng

  • Automatic Functional Test Generation Using The Extended Finite State Machine Model

    Kwang Ting Cheng;A. S. Krishnakumar

  • ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

    Zechun Liu;Zhiqiang Shen;Marios Savvides;Kwang-Ting Cheng

  • A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation

    Zengqiang Yan;Xin Yang;Kwang-Ting Cheng

  • Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data

    Shichao Li;Lei Ke;Kevin Pratama;Yu-Wing Tai

  • Electronic Design Automation: Synthesis, Verification, and Test

    Laung-Terng Wang;Yao-Wen Chang;Kwang-Ting (Tim) Cheng

  • Pseudo-CMOS: A Design Style for Low-Cost and Robust Flexible Electronics

    Tsung-Ching Huang;K Fukuda;Chun-Ming Lo;Yung-Hui Yeh

  • Automatic generation of functional vectors using the extended finite state machine model

    Kwang-Ting Cheng;A. S. Krishnakumar

  • A BIST scheme for on-chip ADC and DAC testing

    Jiun-Lang Huang;Chee-Kian Ong;Kwang-Ting Cheng

  • Classification and identification of nonrobust untestable path delay faults

    K.-T. Cheng;H.-C. Chen

  • False-path-aware statistical timing analysis and efficient path selection for delay testing and timing validation

    Jing-Jia Liou;Angela Krstic;Li-C. Wang;Kwang-Ting Cheng

  • Low-voltage high-performance flexible digital and analog circuits based on ultrahigh-purity semiconducting carbon nanotubes.

    Ting Lei;Lei-Lai Shao;Yu-Qing Zheng;Gregory Pitner

  • Local Difference Binary for Ultrafast and Distinctive Feature Description

    Xin Yang;Kwang-Ting Cheng

  • Delay testing for non-robust untestable circuits

    K.-T. Cheng;H.-C. Chen

  • Perturb and simplify: multilevel Boolean network optimizer

    Shih-Chieh Chang;M. Marek-Sadowska;Kwang-Ting Cheng

  • Combinational and sequential logic optimization by redundancy addition and removal

    L.A. Entrena;Kwang-Ting Cheng

  • Fundamentals of algorithms

    Unknown

Frequent Co-Authors

Vishwani D. Agrawal
Vishwani D. Agrawal Auburn University
Raymond G. Beausoleil
Raymond G. Beausoleil Hewlett-Packard (United States)
Ting Lei
Ting Lei Peking University
Malgorzata Marek-Sadowska
Malgorzata Marek-Sadowska University of California, Santa Barbara
Zhenan Bao
Zhenan Bao Stanford University
John E. Bowers
John E. Bowers University of California, Santa Barbara
Srimat T. Chakradhar
Srimat T. Chakradhar NEC (United States)
Cheng-Wen Wu
Cheng-Wen Wu National Tsing Hua University
Dmitri B. Strukov
Dmitri B. Strukov University of California, Santa Barbara
Madhavan Swaminathan
Madhavan Swaminathan Pennsylvania State University

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