Peng Li

According to our database1, Peng Li authored at least 24 papers between 2016 and 2019.

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Bibliography

2019
Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model.
T-SUSC, 2019

An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning With Crowdsourcing to Cloud Computing.
IEEE Trans. Industrial Informatics, 2019

An Incremental Deep Convolutional Computation Model for Feature Learning on Industrial Big Data.
IEEE Trans. Industrial Informatics, 2019

Dependable Deep Computation Model for Feature Learning on Big Data in Cyber-Physical Systems.
TCPS, 2019

Smart Chinese medicine for hypertension treatment with a deep learning model.
J. Network and Computer Applications, 2019

Secure weighted possibilistic c-means algorithm on cloud for clustering big data.
Inf. Sci., 2019

A deep learning model for predicting chemical composition of gallstones with big data in medical Internet of Things.
Future Generation Comp. Syst., 2019

2018
An Improved Deep Computation Model Based on Canonical Polyadic Decomposition.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2018

An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics.
IEEE Trans. Industrial Informatics, 2018

A Tensor-Train Deep Computation Model for Industry Informatics Big Data Feature Learning.
IEEE Trans. Industrial Informatics, 2018

Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things.
IEEE Trans. Industrial Informatics, 2018

A Dropconnect Deep Computation Model for Highly Heterogeneous Data Feature Learning in Mobile Sensing Networks.
IEEE Network, 2018

An Improved Stacked Auto-Encoder for Network Traffic Flow Classification.
IEEE Network, 2018

Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning.
IEEE Internet of Things Journal, 2018

A survey on deep learning for big data.
Information Fusion, 2018

High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT.
Information Fusion, 2018

Semantic Clustering-Based Deep Hypergraph Model for Online Reviews Semantic Classification in Cyber-Physical-Social Systems.
IEEE Access, 2018

A Deep CFS Model for Text Clustering.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

2017
A Tucker Deep Computation Model for Mobile Multimedia Feature Learning.
TOMCCAP, 2017

An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things.
IEEE Trans. Industrial Informatics, 2017

A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing.
Neurocomputing, 2017

A Weighted Fuzzy c-Means Clustering Algorithm for Incomplete Big Sensor Data.
Proceedings of the Wireless Sensor Networks, 2017

2016
A High-Order CFS Algorithm for Clustering Big Data.
Mobile Information Systems, 2016

ICFS: An Improved Fast Search and Find of Density Peaks Clustering Algorithm.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016


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