Shibin Zhang

Dr. Shibin Zhang

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 January 2021 in International Journal of Theoretical Physics
Verified
Journal Article
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PDF file
XHXi Huang
Xi Huang
SZShibin Zhang
Shibin Zhang
YCYan Chang
Yan Chang
CQChi Qiu
Chi Qiu
DLDong-Mei Liu
Dong-Mei Liu
MHMin Hou
Min Hou

5 September 2021 in International Journal of Theoretical Physics
Verified
Journal Article
Closed access
PDF file
XHXi Huang
Xi Huang
SZShibin Zhang
Shibin Zhang
YCYan Chang
Yan Chang
MHMin Hou
Min Hou
WCWen Cheng
Wen Cheng

2 May 2017 in International Journal of Theoretical Physics
Verified
Journal Article
Closed access
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XGXiang Gao
Xiang Gao
SZShibin Zhang
Shibin Zhang
YCYan Chang
Yan Chang

1 January 2020 in Computers, Materials & Continua
Verified
Journal Article
Closed access
TLTong Li
Tong Li
SZShibin Zhang
Shibin Zhang
JXJinyue Xia
Jinyue Xia
Generative adversarial network (GAN) is one of the most promising methods for unsupervised learning in recent years. GAN works via adversarial training concept and has shown excellent performance in the fields image synthesis, image super-resolution, video generation, image translation, etc. Compared with classical algorithms, quantum algorithms have their unique advantages in dealing with complex tasks, quantum machine learning (QML) is one of the most promising quantum algorithms with the rapid development of quantum technology. Specifically, Quantum generative adversarial network (QGAN) has shown the potential exponential quantum speedups in terms of performance. Meanwhile, QGAN also exhibits some problems, such as barren plateaus, unstable gradient, model collapse, absent complete scientific evaluation system, etc. How to improve the theory of QGAN and apply it that have attracted some researcher. In this paper, we comprehensively and deeply review recently proposed GAN and QAGN models and their applications, and we discuss the existing problems and future research trends of QGAN.

11 June 2019 in International Journal of Theoretical Physics
Verified
Journal Article
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TZTao Zheng
Tao Zheng
YCYan Chang
Yan Chang
SZShibin Zhang
Shibin Zhang
JDJinqiao Dai
Jinqiao Dai
XLXueyang Li
Xueyang Li

17 April 2012 in Annals of the Institute of Statistical Mathematics
Verified
Journal Article
Closed access
PDF file
SZShibin Zhang
Shibin Zhang
XZXinsheng Zhang
Xinsheng Zhang