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
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2005
Evolutionary extreme learning
In 2005, he coauthors “Evolutionary extreme learning machine” with A. K. Qin, Ponnuthurai Nagaratnam Suganthan and Guang-Bin Huang.
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2006
Extreme learning machine theory
In 2006, he coauthors “Extreme learning machine: Theory and applications” with Guang-Bin Huang and Chee-Kheong Siew.
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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.
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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.
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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.
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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.
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January 2024
Satellite constellation deployment
In January 2024, he coauthors a study of constellation deployment using nodal precession and thrust.
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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
Sources and credits
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- Evolutionary extreme learning machine (2005) – Pattern Recognition | Metascience Observatory Explorer
- Extreme learning machine: Theory and applications (2006) – Neurocomputing | Metascience Observatory Explorer
- Qinyu Zhu
- Zefu Gao
- Grassland Health in Xilin Gol League from the Perspective of Machine Learning—Analysis of Grazing Intensity on Grassland Sustainability
- Xuefeng Tao
- Deployment of Constellation with Different Inclinations Using the Nodal Precession and Thrust
