Qingchen Zhang
Qingchen Zhang
Hainan University
Verified email at hainanu.edu.cn
Title
Cited by
Cited by
Year
A survey on deep learning for big data
Q Zhang, LT Yang, Z Chen, P Li
Information Fusion 42, 146-157, 2018
5742018
Privacy preserving deep computation model on cloud for big data feature learning
Q Zhang, LT Yang, Z Chen
IEEE Transactions on Computers 65 (5), 1351-1362, 2015
2052015
Deep convolutional computation model for feature learning on big data in internet of things
P Li, Z Chen, LT Yang, Q Zhang, MJ Deen
IEEE Transactions on Industrial Informatics 14 (2), 790-798, 2017
1452017
An incremental CFS algorithm for clustering large data in industrial internet of things
Q Zhang, C Zhu, LT Yang, Z Chen, L Zhao, P Li
IEEE Transactions on Industrial Informatics 13 (3), 1193-1201, 2017
1362017
Deep computation model for unsupervised feature learning on big data
Q Zhang, LT Yang, Z Chen
IEEE Transactions on Services Computing 9 (1), 161-171, 2015
1352015
An efficient deep learning model to predict cloud workload for industry informatics
Q Zhang, LT Yang, Z Yan, Z Chen, P Li
IEEE transactions on industrial informatics 14 (7), 3170-3178, 2018
1112018
An adaptive dropout deep computation model for industrial IoT big data learning with crowdsourcing to cloud computing
Q Zhang, LT Yang, Z Chen, P Li, F Bu
IEEE Transactions on Industrial Informatics 15 (4), 2330-2337, 2018
992018
Privacy-preserving double-projection deep computation model with crowdsourcing on cloud for big data feature learning
Q Zhang, LT Yang, Z Chen, P Li, MJ Deen
IEEE Internet of Things Journal 5 (4), 2896-2903, 2017
962017
PPHOPCM: Privacy-preserving high-order possibilistic c-means algorithm for big data clustering with cloud computing
Q Zhang, LT Yang, Z Chen, P Li
IEEE Transactions on Big Data, 2017
932017
High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT
Q Zhang, LT Yang, Z Chen, P Li
Information Fusion 39, 72-80, 2018
892018
Energy-efficient scheduling for real-time systems based on deep Q-learning model
Q Zhang, M Lin, LT Yang, Z Chen, P Li
IEEE transactions on sustainable computing 4 (1), 132-141, 2017
882017
A double deep Q-learning model for energy-efficient edge scheduling
Q Zhang, M Lin, LT Yang, Z Chen, SU Khan, P Li
IEEE Transactions on Services Computing 12 (5), 739-749, 2018
692018
A weighted kernel possibilistic c‐means algorithm based on cloud computing for clustering big data
Q Zhang, Z Chen
International Journal of Communication Systems 27 (9), 1378-1391, 2014
552014
A tucker deep computation model for mobile multimedia feature learning
Q Zhang, LT Yang, X Liu, Z Chen, P Li
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2017
532017
An improved deep computation model based on canonical polyadic decomposition
Q Zhang, LT Yang, Z Chen, P Li
IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (10), 1657-1666, 2017
492017
A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing
P Li, Z Chen, LT Yang, L Zhao, Q Zhang
Neurocomputing 256, 82-89, 2017
412017
A High-Order Possibilistic-Means Algorithm for Clustering Incomplete Multimedia Data
Q Zhang, LT Yang, Z Chen, F Xia
IEEE Systems Journal 11 (4), 2160-2169, 2015
382015
A tensor-train deep computation model for industry informatics big data feature learning
Q Zhang, LT Yang, Z Chen, P Li
IEEE Transactions on Industrial Informatics 14 (7), 3197-3204, 2018
362018
An incremental deep convolutional computation model for feature learning on industrial big data
P Li, Z Chen, LT Yang, J Gao, Q Zhang, MJ Deen
IEEE Transactions on Industrial Informatics 15 (3), 1341-1349, 2018
352018
A nodes scheduling model based on Markov chain prediction for big streaming data analysis
Q Zhang, Z Chen, LT Yang
International Journal of Communication Systems 28 (9), 1610-1619, 2015
352015
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