Prof. Zhongfu Ye Profile

Prof. Zhongfu Ye

at Univ. of Science and Technology of China

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Author

Publications (5)

Proceedings Article | 14 August 2019 Paper

Adversarial training and dilated convolutions for compressed sensing MRI

Chao Xu, Jinxu Tao, Zhongfu Ye, Jinzhang Xu, Wajiha Kainat

Proceedings Volume 11179, 111793T (2019) https://doi.org/10.1117/12.2539623

KEYWORDS: Magnetic resonance imaging, Convolution, Gallium nitride, Compressed sensing, Data modeling, Performance modeling, Image resolution, Data acquisition, Tissues, Network architectures

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Proceedings Article | 9 August 2018 Paper

An improved faster R-CNN approach for robust hand detection and classification in sign language

Jinwei Wang, Zhongfu Ye

Proceedings Volume 10806, 108061B (2018) https://doi.org/10.1117/12.2503080

KEYWORDS: Convolution, Network architectures, Electronics engineering, Information science, Data processing, Artificial intelligence, Target detection

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Proceedings Article | 13 March 2013 Paper

Direction of arrival estimation for wideband uncorrelated and coherent signals

Jin Zhang, Yunxiang Mao, Zhongfu Ye

Proceedings Volume 8783, 87831X (2013) https://doi.org/10.1117/12.2021254

KEYWORDS: Signal to noise ratio, Smoothing, Monte Carlo methods, Interference (communication), Matrices, Signal processing, Electronics engineering, Machine vision, Computer simulations, Information science

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Proceedings Article | 1 October 2011 Paper

Optimization of parameters for cooperative spectrum sensing in cognitive radio networks

Qiang Sun, Nan Hu, Zhongfu Ye

Proceedings Volume 8285, 82854S (2011) https://doi.org/10.1117/12.913306

KEYWORDS: Signal to noise ratio, Detection and tracking algorithms, Fusion energy, Wireless communications, Optimization (mathematics), Computer simulations, Intelligence systems, Sun, Electronics engineering, Information science

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Proceedings Article | 16 July 2008 Paper

An adaptive algorithm based on RBF for extracting the flux of fiber spectrum

Hanqin Qin, Zhongfu Ye, A-li Luo, Haotong Zhang

Proceedings Volume 7019, 701934 (2008) https://doi.org/10.1117/12.788159

KEYWORDS: Neural networks, Charge-coupled devices, CCD image sensors, Telescopes, Astronomical imaging, Evolutionary algorithms, Signal to noise ratio, Astronomy, Spectroscopy, Computer simulations

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