His Artificial intelligence study frequently links to other fields, such as Classifier (UML). Many of his studies on Pattern recognition (psychology) involve topics that are commonly interrelated, such as Artificial intelligence. Guoyin Wang integrates many fields, such as Rough set and Data mining, in his works. In his works, Guoyin Wang conducts interdisciplinary research on Data mining and Rough set. As part of his studies on Programming language, Guoyin Wang often connects relevant areas like Set (abstract data type). Guoyin Wang combines topics linked to Programming language with his work on Set (abstract data type). His Labeled data study frequently links to other fields, such as Machine learning. His study on Machine learning is mostly dedicated to connecting different topics, such as Labeled data. In his works, he undertakes multidisciplinary study on Support vector machine and Artificial neural network.
In his research, Guoyin Wang undertakes multidisciplinary study on Artificial intelligence and Algorithm. Guoyin Wang undertakes interdisciplinary study in the fields of Algorithm and Artificial intelligence through his research. He undertakes interdisciplinary study in the fields of Rough set and Data mining through his research. Guoyin Wang performs multidisciplinary study in the fields of Data mining and Rough set via his papers. His research combines Set (abstract data type) and Programming language. Many of his studies on Set (abstract data type) involve topics that are commonly interrelated, such as Programming language. Borrowing concepts from Cloud computing, he weaves in ideas under Operating system. He carries out multidisciplinary research, doing studies in Cloud computing and Operating system. He frequently studies issues relating to Computer vision and Image (mathematics).
His Artificial intelligence study frequently intersects with other fields, such as Pattern recognition (psychology). Pattern recognition (psychology) is closely attributed to Artificial intelligence in his study. His Labeled data research extends to the thematically linked field of Machine learning. Guoyin Wang combines topics linked to Machine learning with his work on Labeled data. In his articles, he combines various disciplines, including Artificial neural network and Data mining. While working in this field, he studies both Data mining and Artificial neural network. In his research, he undertakes multidisciplinary study on Supervised learning and Support vector machine. Guoyin Wang carries out multidisciplinary research, doing studies in Support vector machine and Supervised learning. Guoyin Wang incorporates Mobile computing and Mobile edge computing in his research.
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Erratum to “Experimental Analyses of the Major Parameters Affecting the Intensity of Outbursts of Coal and Gas”
W. Nie;S. J. Peng;J. Xu;L. R. Liu.
The Scientific World Journal (2014)
Extension of rough set under incomplete information systems
ieee international conference on fuzzy systems (2002)
An automatic method to determine the number of clusters using decision-theoretic rough set
Hong Yu;Zhanguo Liu;Guoyin Wang.
International Journal of Approximate Reasoning (2014)
Generic normal cloud model
Guoyin Wang;Guoyin Wang;Changlin Xu;Changlin Xu;Deyi Li.
Information Sciences (2014)
A tree-based incremental overlapping clustering method using the three-way decision theory
Hong Yu;Cong Zhang;Guoyin Wang.
Knowledge Based Systems (2016)
Pixel Convolutional Neural Network for Multi-Focus Image Fusion
Han Tang;Bin Xiao;Weisheng Li;Guoyin Wang.
Information Sciences (2017)
Rough reduction in algebra view and information view
International Journal of Intelligent Systems (2003)
A survey on rough set theory and its applications
Qinghua Zhang;Qin Xie;Guoyin Wang.
CAAI Transactions on Intelligence Technology (2016)
A Decision-Theoretic Rough Set Approach for Dynamic Data Mining
Hongmei Chen;Tianrui Li;Chuan Luo;Shi-Jinn Horng.
IEEE Transactions on Fuzzy Systems (2015)
The T helper type 17/regulatory T cell imbalance in patients with acute Kawasaki disease
S. Jia;C. Li;G. Wang;J. Yang.
Clinical and Experimental Immunology (2010)
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