Researcher

Qinyu Zhu

Also known as Qin Zhu, Qin Yu ZHU, Qin-Yu Zhu, QinYu Zhu

Qinyu Zhu is a researcher whose publications cover signal processing, machine learning and optical methods for space-object analysis. His early papers examined evolutionary extreme learning and its theory, while later papers addressed vector-sensor direction finding and non-line-of-sight signal identification. In 2023, he coauthored a machine-learning study of grassland soil health and sustainable development in Xilin Gol League. He was affiliated with Space Engineering University’s School of Space Command in 2023 and its Graduate School in January 2024; he coauthored a constellation deployment study in January 2024 and an augmented implicit neural model for space-object optical scattering in September 2024.

Now at
Space Engineering University
Works
24
Citations
14,937
h-index
9

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2005

    Evolutionary extreme learning

    In 2005, he coauthors “Evolutionary extreme learning machine” with A. K. Qin, Ponnuthurai Nagaratnam Suganthan and Guang-Bin Huang.

  2. 2006

    Extreme learning machine theory

    In 2006, he coauthors “Extreme learning machine: Theory and applications” with Guang-Bin Huang and Chee-Kheong Siew.

  3. 2021

    Vector-sensor direction finding

    In 2021, he coauthors “DOA Estimation with Spatial Spread Vector-Sensor Array Based on Biquaternion MUSIC” with Guimei Zheng, Chen Chen and Qian Guo.

  4. 2023

    NLOS signal identification

    In 2023, he coauthors “A SOM-CNN Algorithm for NLOS Signal Identification” with Zefu Gao, Hai Cheng Tao, Yi Wen Jiao, Dong Li, Feilong Mao, Chao Li, Yi Tong Si and Yu Xin Wang.

  5. 2023

    Machine learning for grasslands

    In 2023, a machine-learning study he coauthors predicts grassland soil health and evaluates sustainable development in Xilin Gol League.

  6. 2023

    School of Space Command

    In 2023, he is affiliated with the School of Space Command at Space Engineering University and is an equal coauthor of the grassland study.

  7. January 2024

    Satellite constellation deployment

    In January 2024, he coauthors a study of constellation deployment using nodal precession and thrust.

  8. 2024

    Graduate School at Space Engineering University

    In January 2024, he is affiliated with the Graduate School at Space Engineering University. In September 2024, he coauthors an augmented implicit neural representation model that analyzes optical scattering from space objects.

Most-cited works

  1. Extreme learning machine: Theory and applications2006 · Neurocomputing · 13,262 citations
  2. Evolutionary extreme learning machine2005 · Pattern Recognition · 816 citationsWith Ponnuthurai Nagaratnam Suganthan
  3. Can threshold networks be trained directly?2006 · IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing · 267 citations
  4. Real-Time Learning Capability of Neural Networks2006 · IEEE Transactions on Neural Networks · 255 citations
  5. Extreme learning machines2006 · 239 citations

Sources and credits

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  1. Evolutionary extreme learning machine (2005) – Pattern Recognition | Metascience Observatory Explorer explore.metascienceobservatory.org. Checked 21 October 2026.
  2. Extreme learning machine: Theory and applications (2006) – Neurocomputing | Metascience Observatory Explorer explore.metascienceobservatory.org. Checked 21 October 2026.
  3. Qinyu Zhu csauthors.net. Checked 21 October 2026.
  4. Zefu Gao csauthors.net. Checked 21 October 2026.
  5. Grassland Health in Xilin Gol League from the Perspective of Machine Learning—Analysis of Grazing Intensity on Grassland Sustainability ideas.repec.org. Checked 21 October 2026.
  6. Xuefeng Tao csauthors.net. Checked 21 October 2026.
  7. Deployment of Constellation with Different Inclinations Using the Nodal Precession and Thrust pmc.ncbi.nlm.nih.gov. Checked 21 October 2026.