A survey on deep learning for big data Q Zhang, LT Yang, Z Chen, P Li Information Fusion 42, 146-157, 2018 | 1370 | 2018 |
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 | 349 | 2015 |
Convolutional neural networks for medical image analysis: state-of-the-art, comparisons, improvement and perspectives H Yu, LT Yang, Q Zhang, D Armstrong, MJ Deen Neurocomputing 444, 92-110, 2021 | 336 | 2021 |
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 | 238 | 2018 |
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 | 236 | 2017 |
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 | 192 | 2017 |
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 | 190 | 2018 |
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 | 187 | 2017 |
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 | 184 | 2015 |
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 | 156 | 2018 |
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 8 (1), 25-34, 2017 | 138 | 2017 |
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 | 128 | 2017 |
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 | 118 | 2018 |
An improved stacked auto-encoder for network traffic flow classification P Li, Z Chen, LT Yang, J Gao, Q Zhang, MJ Deen IEEE Network 32 (6), 22-27, 2018 | 74 | 2018 |
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 | 74 | 2018 |
A GPU-based residual network for medical image classification in smart medicine Q Zhang, C Bai, Z Liu, LT Yang, H Yu, J Zhao, H Yuan Information Sciences 536, 91-100, 2020 | 73 | 2020 |
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 | 72 | 2014 |
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 | 68 | 2017 |
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 | 66 | 2017 |
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 | 65 | 2017 |