Shiguang Zhang

According to our database, Shiguang Zhang authored at least 32 papers between 2014 and 2023.

Collaborative distances:

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

2023

Twin extreme learning machine based on heteroskedastic Gaussian noise model and its application in short-term wind-speed forecasting.

Shiguang Zhang, Di Guo, Ting Zhou

J. Intell. Fuzzy Syst., December, 2023

Learning Dual Memory Dictionaries for Blind Face Restoration.

Xiaoming Li, Shiguang Zhang, Shangchen Zhou, Lei Zhang, Wangmeng Zuo

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Twin proximal least squares support vector regression machine based on heteroscedastic Gaussian noise.

Shiguang Zhang, Qiuyun Yuan, Feng Yuan, Shiqin Liu

J. Intell. Fuzzy Syst., 2023

Models LSSVR and PLSSVR With Heteroscedastic Gaussian Noise Characteristics and Its Application for Short-Term Wind-Speed Forecasting.

Ting Zhou, Ge Feng, Shiguang Zhang

IEEE Access, 2023

2022

Modeling and <i>ex vivo</i> experimental validation of liver tissue carbonization with laser ablation.

Shiguang Zhang, Chunlei Li, Lin Cao, Michael A. J. Moser, Wenjun Zhang, Zhiqin Qian, Bing Zhang

Comput. Methods Programs Biomed., 2022

Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application.

Shiguang Zhang, Ge Feng, Feng Yuan, Shuangle Guo

IEEE Access, 2022

2021

Density peaks clustering based on k-nearest neighbors and self-recommendation.

Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu, Shiguang Zhang

Int. J. Mach. Learn. Cybern., 2021

Three-Dimensional Elastodynamic Analysis Employing Partially Discontinuous Boundary Elements.

Yuan Li, Ni Zhang, Yuejiao Gong, Wentao Mao, Shiguang Zhang

Algorithms, 2021

2020

LSSVR Model of G-L Mixed Noise-Characteristic with Its Applications.

Shiguang Zhang, Ting Zhou, Lin Sun, Wei Wang, Baofang Chang

Entropy, 2020

Twin Least Square Support Vector Regression Model Based on Gauss-Laplace Mixed Noise Feature with Its Application in Wind Speed Prediction.

Shiguang Zhang, Chao Liu, Wei Wang, Baofang Chang

Entropy, 2020

Twin Least Squares Support Vector Regression of Heteroscedastic Gaussian Noise Model.

Shiguang Zhang, Chao Liu, Ting Zhou, Lin Sun

IEEE Access, 2020

Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification.

Enhui Shi, Lin Sun, Jiucheng Xu, Shiguang Zhang

IEEE Access, 2020

Multilabel Feature Selection Using Relief and Minimum Redundancy Maximum Relevance Based on Neighborhood Rough Sets.

Miaomiao Huang, Lin Sun, Jiucheng Xu, Shiguang Zhang

IEEE Access, 2020

2019

Generalized Single-Phase Harmonic State Space Modeling of the Modular Multilevel Converter With Zero-Sequence Voltage Compensation.

Zigao Xu, Binbin Li, Shengbo Wang, Shiguang Zhang, Dianguo Xu

IEEE Trans. Ind. Electron., 2019

Kernel Ridge Regression Model Based on Beta-Noise and Its Application in Short-Term Wind Speed Forecasting.

Shiguang Zhang, Ting Zhou, Lin Sun, Chao Liu

Symmetry, 2019

Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems.

Lin Sun, Lanying Wang, Yuhua Qian, Jiucheng Xu, Shiguang Zhang

Knowl. Based Syst., 2019

Improved LLE and neighborhood rough sets-based gene selection using Lebesgue measure for cancer classification on gene expression data.

Lin Sun, Wei Wang, Jiucheng Xu, Shiguang Zhang

J. Intell. Fuzzy Syst., 2019

Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification.

Lin Sun, Xiaoyu Zhang, Yu-Hua Qian, Jiucheng Xu, Shiguang Zhang

Inf. Sci., 2019

ν-Support Vector Regression Model Based on Gauss-Laplace Mixture Noise Characteristic for Wind Speed Prediction.

Shiguang Zhang, Ting Zhou, Lin Sun, Wei Wang, Chuan Wang, Wentao Mao

Entropy, 2019

An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets.

Lin Sun, Xiaoyu Zhang, Jiucheng Xu, Shiguang Zhang

Entropy, 2019

A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures.

Lin Sun, Lanying Wang, Jiucheng Xu, Shiguang Zhang

Entropy, 2019

Joint neighborhood entropy-based gene selection method with fisher score for tumor classification.

Lin Sun, Xiaoyu Zhang, Yu-Hua Qian, Jiucheng Xu, Shiguang Zhang, Yun Tian

Appl. Intell., 2019

InPrNa: A Tool for Insight Into Protein-Nucleic Acids Interaction Information.

Wei Wang, Yuan Zhao, Hongjun Zhang, Shiguang Zhang, Keliang Li, Hehe Lv

IEEE Access, 2019

Analyzing the Surface Structure of the Binding Domain on DNA and RNA Binding Proteins.

Wei Wang, Keliang Li, Hehe Lv, Hongjun Zhang, Shiguang Zhang, Yun Zhou, Junwei Huang

IEEE Access, 2019

An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant.

Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang

IEEE Access, 2019

FPGA Implementation of Quantized Convolutional Neural Networks.

Qi Zhang, Jian Cao, Ying Zhang, Shiguang Zhang, Quan Zhang, Dunshan Yu

Proceedings of the 19th IEEE International Conference on Communication Technology, 2019

2018

A robust image watermarking scheme using Arnold transform and BP neural network.

Lin Sun, Jiucheng Xu, Shangwang Liu, Shiguang Zhang, Yuan Li, Chang'an Shen

Neural Comput. Appl., 2018

An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE.

Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang, Yun Tian

IEEE Access, 2018

An Algorithm for Describing the Convex and Concave Shape of Protein Surface.

Wei Wang, Keliang Li, Hehe Lv, Lin Sun, Hongjun Zhang, Jinling Shi, Shiguang Zhang, Yun Zhou, Yuan Zhao, Jingjing Xv

Proceedings of the Data Science, 2018

2017

Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences.

Wei Wang, Lin Sun, Shiguang Zhang, Hongjun Zhang, Jinling Shi, Tianhe Xu, Keliang Li

BMC Bioinform., 2017

2015

Kernel ridge regression for general noise model with its application.

Shiguang Zhang, Qinghua Hu, Zongxia Xie, Ju-Sheng Mi

Neurocomputing, 2015

2014

Noise model based v-support vector regression with its application to short-term wind speed forecasting.

Qinghua Hu, Shiguang Zhang, Zongxia Xie, Ju-Sheng Mi, Jie Wan

Neural Networks, 2014