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发表论文

2018年期刊论文

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

  2. Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li and Fanyu Bu. 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]

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

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

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

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

  7. Peng Li, Zhikui Chen, Laurence 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, 2018, 14(2): 790-798. (JCR I)[PDF]

  8. Qingchen Zhang, Laurence 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. (JCR I)[PDF]

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

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

  11. Fangming Zhong, Zhikui Chen, Geyong Min, Zhaolong Ning, Hua Zhong and Yueming Hu. Combinative hypergraph learning in subspace for cross-modal ranking. Multimedia Tools and Applications, 2018, (12): 1-24.[PDF]

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