Jiye Liang
Shanxi University
227 Papers
348 Citations
Jiye Liang is an academic researcher from Shanxi University. The author has contributed to research in topics: Computer science & Rough set. The author has an hindex of 47, co-authored 165 publications. Previous affiliations of Jiye Liang include Taiyuan Normal University & Chinese Academy of Sciences.
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Papers
Uncertainty measure of rough sets based on a knowledge granulation for incomplete information systems
TL;DR: It is proved that the uncertainty measure proposed is effective and suitable for measuring roughness and accuracy of rough sets for incomplete information systems.
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Comparative study of decision performance of decision tables induced by attribute reductions
TL;DR: The relationships between positive-region reduction, Shannon entropy reduction and Liang entropy reduction are investigated and the change mechanisms for decision performance of a decision table induced by each of these three types of reduction approaches are analyzed.
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Partial ordering of information granulations: a further investigation
TL;DR: The limitations of existing partial orderings to describe information granulations in information systems are revealed and a generalized partial ordering with a set‐size nature is proposed to overcome their shortcoming and some of its important properties are derived.
Graph convolutional autoencoders with co-learning of graph structure and node attributes
TL;DR: Wang et al. as mentioned in this paper proposed a graph convolutional autoencoder with co-learning of graph structure and node attributes (GASN) based on variational autoencoders, which achieved state-of-the-art performance on node clustering, link prediction, and visualization tasks.
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Theory and method of granular computing for big data mining
Jiye Liang,Yuhua Qian,Deyu Li,Qinghua Hu +3 more
- 10 Nov 2015
TL;DR: It is argued that granular computing shows great promise as a new way for data mining in the context of big data; these challenges include computability, effectiveness, and efficiency.
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