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发表论文

2017年期刊论文

  1. Qingchen Zhang, Luarence T. Yang, Zhikui Chen and Peng Li. High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT, Information Fusion, 2018, 39:72-80. DOI: 10.1016/j.inffus.2017.04.002 (SCI, JCR I)[PDF]

  2. Qingchen Zhang, Luarence T. Yang, Hanks Liu, Zhikui Chen and Peng Li. A Tucker Deep Computation Model for Mobile Multimedia Feature Learning, ACM Transactions on Multimedia Computing Communications and Applications, 2017, Accepted. (SCI, CCF B)

  3. Qingchen Zhang, Chunsheng Zhu, Laurence T. Yang, Zhikui Chen, et al. An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things, IEEE Transactions on Industrial Informatics, 2017, Online. DOI: 10.1109/TII.2017.2684807 (SCI, JCR I)[PDF]

  4. Qingchen Zhang, Luarence T. Yang, Zhikui Chen and Peng Li. PPHOPCM: Privacy-preserving High-order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing, IEEE Transactions on Big Data, 2017, Online. DOI: 10.1109/TBDATA.2017.2701816 (SCI)[PDF]

  5. Peng Li, Zhikui Chen, Laurence T. Yang,Liang Zhao, Qingchen Zhang. A Privacy-preserving High-order Neuro-Fuzzy c-Means Algorithm with Cloud Computing, Neurocomputing, 2017, Online. DOI: 10.1016/j.neucom.2016.08.135 (SCI, JCR II)[PDF]

  6. Weigang Hou, Zhaolong Ning, Lei Guo, Zhikui Chen, et al. Novel Framework of Risk-Aware Virtual Network Embedding in Optical Data Center Networks, IEEE Systems Journal, 2017, Online. DOI: 10.1109/JSYST.2017.2673828 (SCI, JCR II)[PDF]

  7. Zhaolong Ning, Feng Xia, Xiping Hu, Zhikui Chen, et al. Social-Oriented Adaptive Transmission in Opportunistic Internet of Smartphones, IEEE Transactions on Industrial Informatics, 2017, 13(2):810-820. DOI: 10.1109/TII.2016.2635081 (SCI, JCR I)[PDF]

  8. Liang Zhao, Zhikui Chena, Yi Yang , Z. Jane Wangb, Victor C.M. LeungbIncomplete Multi-View Clustering via Deep Semantic Mapping, Neurocomputing, 2017, Online.  (SCI, JCR I)[PDF]

  9. Yu Ma, Zhikui Chen, Xiru Qiu, Liang Zhao.Incomplete Robust and Graph Regularized Non-Negative Matrix Factorization for Heterogeneous Co-Transfer Clustering, International Journal of Computational Science and Engineering, 2017, Accepted. 

  10. Qingchen Zhang, Laurence T. Yang, Zhikui Chen, and Peng Li. An Improved Deep Computation Model Based on Canonical Polyadic Decomposition,, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017. DOI: 10.1109/TSMC.2017.2701797. (SCI)

  11. Qingchen Zhang, Laurence T. Yang, Zhikui Chen, and Peng Li.Dependable Deep Computation Model for Feature Learning on Big Data in Cyber-Physical Systems, ACM Transactions on Cyber-Physical Systems, 2017, Accepted. (SCI)

  12. Qingchen Zhang, Man Lin, Laurence T. Yang, Zhikui Chen, and Peng Li. Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model,, IEEE Transactions on Sustainable Computing, 2017 ,Accepted. (SCI)

  13. Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li, and M. Jamal Deen. Privacy-preserving Double-Projection Deep Computation Model with Crowdsourcing on Cloud for Big Data Feature Learning,, IEEE Internet of Things Journal, 2017. DOI: 10.1109/JIOT.2017.2732735. (SCI)

  14. Peng Li, Zhikui Chen, Luarence T. Yang, Qingchen Zhang and M. Jamal Deen. Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things,, IEEE Transactions on Industrial Informatics, 2017, Accpted.  (SCI)[PDF]

  15.  Zhaolong Ning, Feng Xia, Xiping Hu, Zhikui Chen, Mohammad S. ObaidatSocial-Oriented Adaptive Transmission in Opportunistic Internet of Smartphones, IEEE Transactions on Industrial Informatics2017, Accpted.(SCI)

  16. L.Zhao, Z. Chen, Y. Yang, Z. J. Wang and V. C. M. Leung. Incomplete Multi-View Clustering via Deep Semantic Mapping.,, Neurocomputing, 2017. DOI: 10.1016/j.neucom.2017.07.016. (SCI, IF 3.317, JCR I)

  17. L. Zhao, Z. Chen and Y. Yang. Parameter-Free Incremental Co-Clustering for Multi-Modal Data in Cyber-Physical-Social Systems. , IEEE Access, 2017. 2017, 5: 21852 – 21861. (SCI JCR I)

  18. L. Zhao, Z. Chen and Z. J. Wang. Unsupervised Multi-View Correlated Feature Learning for Data Clustering., IEEE Signal Processing Letters, 2017. DOI: 10.1109/LSP.2017.2769086. (SCI,  JCR II)[PDF]

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