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

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

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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, Matrices, Interference (communication), Computer simulations, Monte Carlo methods, Signal processing, Smoothing, Machine vision, Electronics engineering, 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, Sun, Detection and tracking algorithms, Computer simulations, Wireless communications, Intelligence systems, Electronics engineering, Optimization (mathematics), Information science, Fusion energy

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

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