World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
7169
World Ranking
5469
National Ranking
97

Research.com Recognitions

  • 2020 - IEEE Fellow For contributions to convex analysis and optimization for blind source separation

Overview

Chong-Yung Chi is affiliated with National Tsing Hua University in Taiwan. Their research is situated at the intersection of Computer Science and Engineering, with a significant body of work spanning 29 publications in each field.

Their subfields of study include Artificial Intelligence, Electrical and Electronic Engineering, Media Technology, Aerospace Engineering, and Computer Vision and Pattern Recognition. These reflect a broad engagement with both theoretical and applied dimensions of technology and engineering.

The main research topics explored by Chong-Yung Chi cover a diverse range: Remote-Sensing Image Classification, Privacy-Preserving Technologies in Data, Image and Signal Denoising Methods, Advanced Image Fusion Techniques, Mobile Crowdsensing and Crowdsourcing, Radar Systems and Signal Processing, and Cryptography and Data Security.

Chong-Yung Chi has contributed to multiple publication venues, including arXiv (Cornell University) with six papers, IEEE Transactions on Wireless Communications and IEEE Internet of Things Journal with two papers each, and single papers in IEEE Access and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Notable recent papers include:

  • Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities (2020), IEEE Access
  • Communication-Sensing Region for Cell-Free Massive MIMO ISAC Systems (2024), IEEE Transactions on Wireless Communications
  • Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution (2022), IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Differentially Private Federated Clustering Over Non-IID Data (2023), IEEE Internet of Things Journal
  • Differentially Private Federated Learning in Edge Networks: The Perspective of Noise Reduction (2022), IEEE Network

Chong-Yung Chi has worked collaboratively with several frequent co-authors, including Yang Lu, Bo Ai, Yiwei Li, Tony Q. S. Quek, and Shuai Wang. These collaborations have contributed to the development and dissemination of research across their fields of study.

In recognition of their academic contributions, Chong-Yung Chi was named an IEEE Fellow in 2020 for their work on convex analysis and optimization for blind source separation.

Best Publications

  • Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization

    Kun-Yu Wang;Anthony Man-Cho So;Tsung-Hui Chang;Wing-Kin Ma

  • A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing

    Wing-Kin Ma;Jose M. Bioucas-Dias;Tsung-Han Chan;Nicolas Gillis

  • A Convex Analysis-Based Minimum-Volume Enclosing Simplex Algorithm for Hyperspectral Unmixing

    Tsung-Han Chan;Chong-Yung Chi;Yu-Min Huang;Wing-Kin Ma

  • QoS-Based Transmit Beamforming in the Presence of Eavesdroppers: An Optimized Artificial-Noise-Aided Approach

    Wei-Cheng Liao;Tsung-Hui Chang;Wing-Kin Ma;Chong-Yung Chi

  • DOA Estimation of Quasi-Stationary Signals With Less Sensors Than Sources and Unknown Spatial Noise Covariance: A Khatri–Rao Subspace Approach

    Wing-Kin Ma;Tsung-Han Hsieh;Chong-Yung Chi

  • Distributed Robust Multicell Coordinated Beamforming With Imperfect CSI: An ADMM Approach

    Chao Shen;Tsung-Hui Chang;Kun-Yu Wang;Zhengding Qiu

  • A Simplex Volume Maximization Framework for Hyperspectral Endmember Extraction

    Tsung-Han Chan;Wing-Kin Ma;A. Ambikapathi;Chong-Yung Chi

  • Convex Optimization for Signal Processing and Communications

    Unknown

  • A Convex Analysis Framework for Blind Separation of Non-Negative Sources

    Tsung-Han Chan;Wing-Kin Ma;Chong-Yung Chi;Yue Wang

  • Coordinated Beamforming for Multiuser MISO Interference Channel Under Rate Outage Constraints

    Wei-Chiang Li;Tsung-Hui Chang;Che Lin;Chong-Yung Chi

  • DOA estimation of quasi-stationary signals via Khatri-Rao subspace

    Wing-Kin Ma;Tsung-Han Hsieh;Chong-Yung Chi

  • Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No-Pure-Pixel Case

    Chia-Hsiang Lin;Wing-Kin Ma;Wei-Chiang Li;Chong-Yung Chi

  • On the Impact of Quantized Channel Feedback in Guaranteeing Secrecy with Artificial Noise: The Noise Leakage Problem

    Shih-Chun Lin;Tsung-Hui Chang;Ya-Lan Liang;Y P Hong

  • Power Allocation and Time-Domain Artificial Noise Design for Wiretap OFDM with Discrete Inputs

    Haohao Qin;Yin Sun;Tsung-Hui Chang;Xiang Chen

  • Batch processing algorithms for blind equalization using higher-order statistics

    Chong-Yung Chi;Ching-Yung Chen;Chil-Horng Chen;Chih-Chun Feng

  • Chance-Constrained Robust Minimum-Volume Enclosing Simplex Algorithm for Hyperspectral Unmixing

    A. Ambikapathi;T. Chan;Wing-Kin Ma;Chong-Yung Chi

  • Probabilistic SINR constrained robust transmit beamforming: A Bernstein-type inequality based conservative approach

    Kun-Yu Wang;Tsung-Hui Chang;Wing-Kin Ma;Anthony Man-Cho So

  • Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications

    Chong-Yung Chi;Wei-Chiang Li;Chia-Hsiang Lin

  • Blind Equalization and System Identification: Batch Processing Algorithms, Performance and Applications

    C. Chi;C. Feng;C. Chen

  • A Computationally Fast Approach to Maximum-Likelihood Deconvolution

    Chong Yung Chi;Jerry M. Mended;D. Hampson

  • A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing

    Chia-Hsiang Lin;Chong-Yung Chi;Yu-Hsiang Wang;Tsung-Han Chan

  • Training Sequence Design for Discriminatory Channel Estimation in Wireless MIMO Systems

    Tsung-Hui Chang;Wei-Cheng Chiang;Y.-W Peter Hong;Chong-Yung Chi

  • Convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing

    Tsung-Han Chan;Chong-Yung Chi;Yu-Min Huang;Wing-Kin Ma

  • On the impact of quantized channel feedback in guaranteeing secrecy with artificial noise

    Ya-Lan Liang;Yung-Shun Wang;Tsung-Hui Chang;Y.-W. Peter Hong

Frequent Co-Authors

Wing-Kin Ma
Wing-Kin Ma Chinese University of Hong Kong
David G. Long
David G. Long Brigham Young University
Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen
Zhi Ding
Zhi Ding University of California, Davis
Jing Wang
Jing Wang Tsinghua University
Yimin Zhang
Yimin Zhang Temple University
Hsiao-Chun Wu
Hsiao-Chun Wu Louisiana State University

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