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Ying Gao [4]Ying-Lian Gao [1]
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Ying Gao
University of Sheffield
  1.  13
    Unconscious Processing Modulates Creative Problem Solving: Evidence From an Electrophysiological Study.Ying Gao & Hao Zhang - 2014 - Consciousness and Cognition 26:64-73.
    Previous behavioral studies have identified the significant role of subliminal cues in creative problem solving. However, neural mechanisms of such unconscious processing remain poorly understood. Here we utilized an event-related potential approach and sandwich mask technique to investigate cerebral activities underlying the unconscious processing of cues in creative problem solving. College students were instructed to solve divergent problems under three different conditions . Our data showed that creative problem solving can benefit from unconscious cues, although not as much as from (...)
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  2. Neurodynamic and Particle Swarm Optimization-Extended Particle Swarm Optimiser with Adaptive Acceleration Coefficients and Its Application in Nonlinear Blind Source Separation.Ying Gao, Zhaohui Li, Hui Zheng & Huailiang Liu - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 1174-1182.
  3. An Evolutionary Game Analysis on Public Information Communication Between the Government and the Public in China.Hongsen Luo, Ying Gao & Fulei Shi - 2021 - Complexity 2021:1-11.
    Public information is a social resource that connects all aspects of social life, regulates social activities and public behaviors, and plays a very important role in influencing public trust. Based on the perspective of communication, we divide the government into two ways to release public information, that is, mass communication and personalized recommendation. Moreover, the public can choose to acquire or not acquire a strategy. Then, this study conducts an evolutionary game between the government and the public to analyze the (...)
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  4. Applying Deep Learning in the Training of Communication Design Talents Under University-Industrial Research Collaboration.Rui Zhou, Zhihua He, Xiaobiao Lu & Ying Gao - 2021 - Frontiers in Psychology 12.
    The purpose of the study was to solve the problem of the mismatching between the supply and demand of the talents that universities provide for society, whose major is communication design. The correlations between social post demand and university cultivation, as well as between social post demand and the demand indexes of enterprises for posts, are explored under the guidance of University-Industrial Research Collaboration. The backpropagation neural network is used, and the advantages of the Seasonal Autoregressive Integrated Moving Average model (...)
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    Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method.Yue Hu, Jin-Xing Liu, Ying-Lian Gao, Sheng-Jun Li & Juan Wang - 2019 - Complexity 2019:1-13.
    In the big data era, sequencing technology has produced a large number of biological sequencing data. Different views of the cancer genome data provide sufficient complementary information to explore genetic activity. The identification of differentially expressed genes from multiview cancer gene data is of great importance in cancer diagnosis and treatment. In this paper, we propose a novel method for identifying differentially expressed genes based on tensor robust principal component analysis, which extends the matrix method to the processing of multiway (...)
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