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    Author information
    First name: Jie
    Last name: Wang
    DBLP: 29/5259
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    Below you find the publications which have been written by this author.

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    Conference paper
    Jie Wang, Jiahu Qin, Qichao Ma, Yu Kang, Xinxin Fu.
    Optimal sensor scheduling for two linear dynamical systems under limited resources in sensor networks.
    Neurocomputing 2018, Volume 273 (0) 2018
    Journal article
    Xin Jin, Jie Wang, Tianshu Chu, Jinghua Xia.
    Knowledge source strategy and enterprise innovation performance: dynamic analysis based on machine learning.
    Techn. Analysis Strat. Manag. 2018, Volume 30 (0) 2018
    Journal article
    Chi Lin, Yi Wang, Shuang Wei, Danyang He, Jie Wang.
    Compromising location privacies for vehicles cloud computing.
    IJWGS 2018, Volume 14 (0) 2018
    Journal article
    Jie Wang, Sheng-Long Hu, Zheng-Hai Huang.
    Solution Sets of Quadratic Complementarity Problems.
    J. Optimization Theory and Applications 2018, Volume 176 (0) 2018
    Journal article
    Jie Wang.
    Difference indices of quasi-prime difference algebraic systems.
    J. Symb. Comput. 2018, Volume 87 (0) 2018
    Journal article
    Xiaokai Liu, Xiaorui Ma, Jie Wang, Hongyu Wang.
    Pattern Recognition 2018, Volume 76 (0) 2018
    Conference paper
    Jie Wang, Xiyue Tang, Guiwu Wei.
    Models for Multiple Attribute Decision-Making with Dual Generalized Single-Valued Neutrosophic Bonferroni Mean Operators.
    Algorithms 2018, Volume 11 (0) 2018
    Conference paper
    Hongtao Li, Feng Guo, Wenyin Zhang, Jie Wang, Jinsheng Xing.
    (a, k)-Anonymous Scheme for Privacy-Preserving Data Collection in IoT-based Healthcare Services Systems.
    J. Medical Systems 2018, Volume 42 (0) 2018
    Conference paper
    Kai Cui, Jie Wang, Houbing Song, Chi Lin, Kuanjiu Zhou, Mingchu Li.
    Effective hybrid load scheduling of online and offline clusters for e-health service.
    Neurocomputing 2017, Volume 220 (0) 2017
    Conference paper
    Jie Wang, Liangjian Cai, Xin Zhao.
    Multiple-Instance Learning via an RBF Kernel-Based Extreme Learning Machine.
    J. Intelligent Systems 2017, Volume 26 (0) 2017
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