Junying Hu

According to our database¹, Junying Hu authored at least 25 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Back-propagating errors through artificial neural networks for variable selection.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., March, 2024

Convolutional neural network incorporating misclassification information for image recognition.

[BibT_eX]

[DOI]

Soft Comput., January, 2024

2023

MBIAN: Multi-level bilateral interactive attention network for multi-modal image processing.

[BibT_eX]

[DOI]

Expert Syst. Appl., November, 2023

Point and interval prediction of aircraft engine maintenance cost by bootstrapped SVR and improved RFE.

[BibT_eX]

[DOI]

J. Supercomput., May, 2023

2022

Helmholtz machine with differential privacy.

[BibT_eX]

[DOI]

Junying Hu

Kai Sun

Hai Zhang

Inf. Sci., 2022

A model-driven network for guided image denoising.

[BibT_eX]

[DOI]

Inf. Fusion, 2022

2021

Saliency-based YOLO for single target detection.

[BibT_eX]

[DOI]

Junying Hu

C.-J. Richard Shi

Jiang-She Zhang

Knowl. Inf. Syst., 2021

Remaining useful life prediction for aircraft engines based on phase space reconstruction and hybrid VNS-SVR model.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2021

Enhancing performance of the back-propagation algorithm based on a novel regularization method of preserving inter-object-distance of data.

[BibT_eX]

[DOI]

Junying Hu

Kai Sun

Hai Zhang

Int. J. Wavelets Multiresolution Inf. Process., 2021

2020

Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2020

A distributed parallel training method of deep belief networks.

[BibT_eX]

[DOI]

Soft Comput., 2020

Neural network with multiple connection weights.

[BibT_eX]

[DOI]

Jiangshe Zhang

Junying Hu

Junmin Liu

Pattern Recognit., 2020

2019

Discriminative Representation Learning with Supervised Auto-encoder.

[BibT_eX]

[DOI]

Neural Process. Lett., 2019

Convolutional Sparse Representation of Injected Details for Pansharpening.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2019

Discriminative multi-modal deep generative models.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

2018

Joint Load Scheduling and Voltage Regulation in the Distribution System With Renewable Generators.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2018

A Deep Neural Network Based on ELM for Semi-supervised Learning of Image Classification.

[BibT_eX]

[DOI]

Neural Process. Lett., 2018

A scalable and manageable IoT architecture based on transparent computing.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2018

RF Energy Harvesting and Transfer in Cognitive Radio Sensor Networks: Opportunities and Challenges.

[BibT_eX]

[DOI]

Xuemin (Sherman) Shen

IEEE Commun. Mag., 2018

2017

Graph-based discriminative concept factorization for data representation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

A new regularized restricted Boltzmann machine based on class preserving.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Generalized extreme learning machine autoencoder and a new deep neural network.

[BibT_eX]

[DOI]

Neurocomputing, 2017

A modified version of Helmholtz machine by using a Restricted Boltzmann Machine to model the generative probability of the top layer.

[BibT_eX]

[DOI]

Neurocomputing, 2017

2016

A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons.

[BibT_eX]

[DOI]

Neurocomputing, 2016

2014

An effective iterative density aware detailed placement algorithm.

[BibT_eX]

[DOI]

Quan Zhou

Junying Hu

Qiang Zhou

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Junying Hu

Timeline

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