Junying Hu

According to our database, Junying Hu authored at least 26 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Modified R-BERT with global semantic information for relation classification task.

Yuhua Wang, Junying Hu, Yongli Su, Bo Zhang, Kai Sun, Hai Zhang

Comput. Speech Lang., 2025

2024

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

Junying Hu, Peiju Chang, Fang Du, Rongrong Fei, Kai Sun, Jiangshe Zhang, Hai Zhang

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

Convolutional neural network incorporating misclassification information for image recognition.

Junying Hu, Rongrong Fei, Fang Du, Peiju Chang, Jiangshe Zhang

Soft Comput., January, 2024

2023

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

Kai Sun, Jiangshe Zhang, Jialin Wang, Shuang Xu, Chunxia Zhang, Junying Hu

Expert Syst. Appl., November, 2023

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

Junying Hu, Xiaofei Qian, Changchun Tan, Xinbao Liu

J. Supercomput., May, 2023

2022

Helmholtz machine with differential privacy.

Junying Hu, Kai Sun, Hai Zhang

Inf. Sci., 2022

A model-driven network for guided image denoising.

Shuang Xu, Jiangshe Zhang, Jialin Wang, Kai Sun, Chunxia Zhang, Junmin Liu, Junying Hu

Inf. Fusion, 2022

2021

Saliency-based YOLO for single target detection.

Junying Hu, Chuanjin 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.

Junying Hu, Xiaofei Qian, Hao Cheng, Changchun Tan, Xinbao Liu

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.

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.

Changsheng Zhou, Jiangshe Zhang, Junmin Liu, Chunxia Zhang, Guang Shi, Junying Hu

IEEE Trans. Geosci. Remote. Sens., 2020

A distributed parallel training method of deep belief networks.

Guang Shi, Jiangshe Zhang, Chunxia Zhang, Junying Hu

Soft Comput., 2020

Neural network with multiple connection weights.

Jiangshe Zhang, Junying Hu, Junmin Liu

Pattern Recognit., 2020

2019

Discriminative Representation Learning with Supervised Auto-encoder.

Fang Du, Jiangshe Zhang, Nannan Ji, Junying Hu, Chunxia Zhang

Neural Process. Lett., 2019

Convolutional Sparse Representation of Injected Details for Pansharpening.

Rongrong Fei, Jiangshe Zhang, Junmin Liu, Fang Du, Peiju Chang, Junying Hu

IEEE Geosci. Remote. Sens. Lett., 2019

Discriminative multi-modal deep generative models.

Fang Du, Jiangshe Zhang, Junying Hu, Rongrong Fei

Knowl. Based Syst., 2019

2018

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

Ju Ren, Junying Hu, Ruilong Deng, Deyu Zhang, Yaoxue Zhang, Xuemin Sherman Shen

IEEE Trans. Ind. Informatics, 2018

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

Peiju Chang, Jiangshe Zhang, Junying Hu, Zengjie Song

Neural Process. Lett., 2018

A scalable and manageable IoT architecture based on transparent computing.

Hui Guo, Ju Ren, Deyu Zhang, Yaoxue Zhang, Junying Hu

J. Parallel Distributed Comput., 2018

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

Ju Ren, Junying Hu, Deyu Zhang, Hui Guo, Yaoxue Zhang, Xuemin (Sherman) Shen

IEEE Commun. Mag., 2018

2017

Graph-based discriminative concept factorization for data representation.

Huirong Li, Jiang-She Zhang, Junying Hu, Chunxia Zhang, Junmin Liu

Knowl. Based Syst., 2017

A new regularized restricted Boltzmann machine based on class preserving.

Junying Hu, Jiang-She Zhang, Nannan Ji, Chunxia Zhang

Knowl. Based Syst., 2017

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

Kai Sun, Jiang-She Zhang, Chunxia Zhang, Junying Hu

Neurocomputing, 2017

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

Junying Hu, Jiang-She Zhang, Nannan Ji, Chunxia Zhang

Neurocomputing, 2017

2016

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

Junying Hu, Jiang-She Zhang, Chunxia Zhang, Juan Wang

Neurocomputing, 2016

2014

An effective iterative density aware detailed placement algorithm.

Quan Zhou, Junying Hu, Qiang Zhou

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