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发表论文

2018年期刊论文

  1. Zhikui Chen,Laurence T.Yang,Petros Nicopolitidis. Special issue on big data intelligence in communication systems. Int. J. Communication Systems 31(16) (2018)[PDF]

  2. Qingchen Zhang,Laurence T.Yang,Zhikui Chen,Peng Li. A Dropconnect Deep Computation Model for Highly Heterogeneous Data Feature Learning in Mobile Sensing Networks. IEEE Network, 2018, 32(4):22-27.[PDF]

  3. Qingchen Zhang,Man Lin,Laurence T.Yang. A Double Deep Q-learning Model for Energy-efficient Edge Scheduling. IEEE Transactions on Services Computing, 2018:1-1.[PDF]

  4. Peng Li, Zhikui Chen,Laurence T.Yang. An Incremental Deep Convolutional Computation Model for Feature Learning on Industrial Big Data. IEEE Transactions on Industrial Informatics, 2018:1-1.

  5. Qingchen Zhang, Laurence T. Yang, Zhikui Chen. Dependable Deep Computation Model for Feature Learning on Big Data in Cyber-Physical Systems. ACM Transactions on Cyber-Physical Systems, 2018, 3(1):1-17.[PDF]

  6. Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li, M. Jamal Deen. Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning. IEEE Internet of Things Journal 5(4): 2896-2903 (2018)[PDF]

  7. Peng Li, Zhikui Chen, Laurence T. Yang, Jing Gao, Qingchen Zhang, and M. Jamal Deen. An Improved Stacked Auto-Encoder for Network Traffic Flow Classification. IEEE Network 32(6):22-27(2018)[PDF]

  8. Bao Rongxin,Xu Yuan,Zhikui Chen and Ruixin Ma. CEP:Cross Entropy Pruning for Compressing Convolutional Neural Networks. Neural Computation, 2018.[PDF]. (CCF B)

  9. Zhang Qingchen, Yang Laurence T., Chen Zhikui and Li Peng. A Tensor-train Deep Computation Model for Industry Informatics Big Data Feature Learning. IEEE Transactions on Industrial Informatics, 2018. Online. (JCR I)[PDF]

  10. Zhang Qingchen, Yang Laurence T., Chen Zhikui, Li Peng and Bu Fanyu. An Adaptive Droupout Deep Computation Model for Industrial IoT Big Data Learning with Crowdsourcing to Cloud Computing. IEEE Transactions on Industrial Informatics, 2018. Online. (JCR I)[PDF]

  11. Zhang Qingchen, Yang Laurence T., Yan Zheng, Chen Zhikui and Li Peng. An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics. IEEE Transactions on Industrial Informatics, 2018. Online. (JCR I)[PDF]

  12. Zhang Qingchen, Yang Laurence T., Castiglione Arcangelo, Chen Zhikui and Li Peng. Secure Weighted Possibilistic c-Means Algorithm on Cloud for Clustering Big Data. Information Sciences, 2018. Online. (JCR I)[PDF]

  13. Yuan Xu, Sun Mingyang, Chen Zhikui, Gao Jing and Li Peng. Semantic Clustering-Based Deep Hypergraph Model for Online Reviews Semantic Classification in Cyber-Physical-Social Systems. IEEE Access, 2018. Online. (JCR II)[PDF]

  14. Zhang Qingchen, Yang Laurence T., Chen Zhikui and Li Peng. A Survey on Deep Learning for Big Data. Information Fusion, 2018, 42: 146-157. (JCR I)[PDF]

  15. Li Peng, Chen Zhikui, Hu Yueming, Leng Yonglin and Li Qiucen. A Weighted Fuzzy c-Means Clustering Algorithm for Incomplete Big Sensor Data. Communications in Computer and Information Science, 2018: 55-63.[PDF]

  16. Bao Rongxin, Chen Zhikui and Obaidat Mohammad S.. Challenges and techniques in Big data security and privacy: A review. Security and Privacy, 2018, 2018(e13).[PDF]

  17. Li Peng, Chen Zhikui, Yang Laurence T., Zhang Qingchen and Deen M. Jamal. Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things. IEEE Transactions on Industrial Informatics, 2018, 14(2): 790-798. (JCR I)[PDF]

  18. Fangming Zhong, Zhikui Chen and Geyong Min. Deep Discrete Cross-Modal Hashing for Cross-Media Retrieval. Pattern Recognition, 2018, 83: 64-77. (JCR II)[PDF]

  19. Zhang Qingchen, Yang Laurence T., Chen Zhikui and Li Peng. High-Order Possibilistic c-Means Algorithms Based on Tensor Decompositions for Big Data in IoT. Information Fusion, 2018, 39: 72-80. (JCR I)[PDF]

  20. Zhao Liang, Chen Zhikui, Yang Yi, Wang Z. Jane and Leung Victor C.M. Incomplete Multi-View Clustering via Deep Semantic Mapping. Neurocomputing, 2018, 275: 1053-1062. (JCR II)[PDF]

  21. Zhao Liang, Chen Zhikui, Yang Zhennan, Hu Yueming and Obaidat Mohammad S.. Local Similarity Imputation Based on Fast Clustering for Incomplete Data in Cyber-Physical Systems. IEEE Systems Journal, 2018, 12(2): 1610-1620. (JCR II)[PDF]

  22. Zhao Liang, Chen Zhikui and Wang Z. Jane. Unsupervised Multiview Nonnegative Correlated Feature Learning for Data Clustering. IEEE Signal Processing Letters, 2018, 25(1): 60-64.[PDF]

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