Liang Zhao

According to our database1, Liang Zhao authored at least 20 papers between 2012 and 2019.

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Bibliography

2019
Deep Semantic Mapping for Heterogeneous Multimedia Transfer Learning Using Co-Occurrence Data.
TOMCCAP, 2019

ICFS Clustering With Multiple Representatives for Large Data.
IEEE Trans. Neural Netw. Learning Syst., 2019

Robust and graph regularised non-negative matrix factorisation for heterogeneous co-transfer clustering.
IJCSE, 2019

2018
Distributed Feature Selection for Efficient Economic Big Data Analysis.
IEEE Trans. Big Data, 2018

Active-Learning-Incorporated Deep Transfer Learning for Hyperspectral Image Classification.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2018

Unsupervised Multiview Nonnegative Correlated Feature Learning for Data Clustering.
IEEE Signal Process. Lett., 2018

Local Similarity Imputation Based on Fast Clustering for Incomplete Data in Cyber-Physical Systems.
IEEE Systems Journal, 2018

Incomplete multi-view clustering via deep semantic mapping.
Neurocomputing, 2018

A New Deep Transfer Learning Model for Judicial Data Classification.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

Adaptive Multimodal Hypergraph Learning for Image Classification.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Dual Graph-Regularized Multi-view Feature Learning.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

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

Parameter-Free Incremental Co-Clustering for Multi-Modal Data in Cyber-Physical-Social Systems.
IEEE Access, 2017

Incremental CFS clustering on large data.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

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

2015
A Hybrid Method for Incomplete Data Imputation.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

2013
Multi-node Scheduling Algorithm Based on Clustering Analysis and Data Partitioning in Emergency Management Cloud.
Proceedings of the Web-Age Information Management, 2013

A Universal Storage Architecture for Big Data in Cloud Environment.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

2012
Collection System for Pressure Information of Buildings Based on the IoT and CAN Bus.
Proceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2012


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