Peng Li
Peng Li
School of Software Technology, Dalian University of Technology
Verified email at mail.dlut.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
7272018
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
1682017
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
1482017
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
1342018
A deep neural network improves endoscopic detection of early gastric cancer without blind spots
L Wu, W Zhou, X Wan, J Zhang, L Shen, S Hu, Q Ding, G Mu, A Yin, ...
Endoscopy 51 (06), 522-531, 2019
1142019
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
1132018
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
1082017
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
1072017
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
1052017
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
962018
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
952018
A dual reinforcement learning framework for unsupervised text style transfer
F Luo, P Li, J Zhou, P Yang, B Chang, Z Sui, X Sun
arXiv preprint arXiv:1905.10060, 2019
902019
A survey on deep learning for multimodal data fusion
J Gao, P Li, Z Chen, J Zhang
Neural Computation 32 (5), 829-864, 2020
862020
Urban land use and land cover classification using novel deep learning models based on high spatial resolution satellite imagery
P Zhang, Y Ke, Z Zhang, M Wang, P Li, S Zhang
Sensors 18 (11), 3717, 2018
702018
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
532017
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 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
522018
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
522017
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
412018
Secure weighted possibilistic c-means algorithm on cloud for clustering big data
Q Zhang, LT Yang, A Castiglione, Z Chen, P Li
Information Sciences 479, 515-525, 2019
382019
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