Liang Zhao, Zhikui Chen, Yi Yang, Liang Zou, Z. Jane Wang. ICFS: Clustering with Multiple Representatives for Large Data. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(3): 728-738.[PDF]
Liang Zhao, Zhikui Chen, Laurence T. Yang, M. Jamal Deen, Z. Jane Wang. Deep Semantic Mapping for Heterogeneous Multimedia Transfer Learning Using Co-Occurrence Data. ACM Transactions on Multimedia Computing, Communications, and Applications, 2019, 15(1s): 9:1-9:21.[PDF]
Jing Gao, Peng Li, Zhikui Chen. A canonical polyadic deep convolutional computation model for big data feature learning in Internet of Things. Future Gener. Comput. Syst. 99: 508-516 (2019).
Jianing Du, Zhikui Chen, Fangming Zhong, Xiru Qiu. Self-Taught Cross-Modal Hashing with Minimal Semantic Loss. IET Image Processing.2019,13(13) 2529 – 2537[PDF]
Xiru Qiu, Zhikui Chen, Liang Zhao, Chengsheng Hu. Unsupervised multi-view non-negative for law data feature learning with dual graph-regularization in smart Internet of Things. Future Generation Computer Systems 100 (2019) 523–530.[PDF]
Qingchen Zhang,Man Lin,Laurence T.Yang. A Double Deep Q-learning Model for Energy-efficient Edge Scheduling. IEEE Transactions on Services Computing 2019,12(5): 739-749.[PDF]
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,479: 515-525 (2019). (JCR I)[PDF]
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, 4(1): 132-141 (2019).[PDF]
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, 15(3): 1341-1349 (2019).[PDF]
