首页科研成果发表论文

科研成果

联系我们

more »
  • 联系我们
  • 大数据与智能计算实验室
  • 电话:0411-62274392
  • 地址:大连市经济技术开发区图强街321号 大连理工大学软件学院
  • 邮编:116620
  • E-mail:zkchen@dlut.edu.cn

发表论文

2018年期刊论文


  1. Zhikui Chen, Fei Lu, Xu Yuan and Fangming Zhong. TCMHG Topic-Based Cross Modal Hypergraph Learning for Online Service Recommendations. 2018, IEEE Access 6: 24856-24865[PDF]

  2. Weigang Hou, Zhaolong Ning, Lei Guo, Zhikui Chen and Mohammad S.Obaidat. Novel Framework of Risk-Aware Virtual Network Embedding in Optical Data Center Networks. IEEE Systems Journal. 2018, 12(3): 2473-2482(JCR II)[PDF]

  3. 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,  2018, 48(10): 1657-1666[PDF]

  4. Zhaolong Ning, Xiping Hu, Zhikui Chen, Mengchu Zhou, Bin Hu, et al. A Cooperative Quality-aware Service Access System for Social Internet of Vehicles. IEEE Internet of Things Journal 2018, 5(4): 2506-2517[PDF]

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

  6. 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. 2018,5(4):2896-2903. (JCR I)[PDF]

  7. 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]

  8. 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]

  9. 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. 2018, 32(6):22-27[PDF]

  10. Bao Rongxin,Xu Yuan,Zhikui Chen and Ruixin Ma. Cross Entropy Pruning for Compressing Convolutional Neural Networks. Neural Computation. 2018, 30(11):3128-3149.[PDF]. (CCF B)

  11. 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. 2018,14(7): 3197-3204. (JCR I)[PDF]

  12. 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, 14(7): 3170-3178. (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, 6:17942-17951.[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. Bao Rongxin, Chen Zhikui and Obaidat Mohammad S.. Challenges and techniques in Big data security and privacy: A review. Security and Privacy. 2018, 1(4):1-8.[PDF]

  16. 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]

  17. 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]

  18. 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]

  19. 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]

  20. 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]

  21. Chen Zhikui, Ning Zhaolong, Xiong Qianzi and Obaidat Mohammad S.. A Collaborative Filtering Recommendation-Based Scheme for WLANs With Differentiated Access Service. IEEE Systems Journal. 12(1): 1004-1014. (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]

  23. J. Lin, L. Zhao, S. Li, R. Ward and Z. J. Wang. Active Learning Incorporated Deep Transfer Learning for Hyperspectral Image Classification. . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2018, 11(11): 4048-4062.[PDF]

  24. Xu Yuan, Hua Zhong, Zhikui Chen, Fangming Zhong and Yueming Hu. Multimedia Feature Mapping and Correlation Learning for Cross-Modal Retrieval. IJGHPC. 2018 ,10(3): 29-45.  [PDF]

  25. Zhong Fangming, Chen Zhikui, Ning Zhaolong, Min Geyong and Hu Yueming. Heterogeneous Visual Features Integration for Image Recognition Optimization in Internet of Things. Journal of Computational Science. 2018,466-475 .[PDF]

  26. Zhao Liang, Chen Zhikui, Hu Yueming, Min Geyong and Jiang Zhaohua. Distributed Feature Selection for Efficient Economic Big Data Analysis. IEEE Transactions on Big Data. 2018, 4(2): 164-176.[PDF]

上一主题: 2019年会议论文

下一主题: 2018年会议论文