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)

Kernel ridge regression for general noise model with its application. - Shiguang Zhang; Qinghua Hu; Zongxia Xie; Ju-Sheng Mi (Neurocomputing, 2015)

Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences. - Wei Wang 166; Lin Sun 002; Shiguang Zhang; Hongjun Zhang; Jinling Shi; Tianhe Xu; Keliang Li (BMC Bioinform., 2017)

An Algorithm for Describing the Convex and Concave Shape of Protein Surface. - Wei Wang 166; Keliang Li; Hehe Lv; Lin Sun 002; Hongjun Zhang; Jinling Shi; Shiguang Zhang; Yun Zhou; Yuan Zhao; Jingjing Xv (ICPCSEE (2), 2018)

An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE. - Lin Sun 002; Ruonan Liu; Jiucheng Xu; Shiguang Zhang; Yun Tian 002 (IEEE Access, 2018)

A robust image watermarking scheme using Arnold transform and BP neural network. - Lin Sun 002; Jiucheng Xu; Shangwang Liu; Shiguang Zhang; Yuan Li; Chang'an Shen (Neural Comput. Appl., 2018)

FPGA Implementation of Quantized Convolutional Neural Networks. - Qi Zhang; Jian Cao; Ying Zhang; Shiguang Zhang; Quan Zhang; Dunshan Yu (ICCT, 2019)

An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant. - Lin Sun 002; Ruonan Liu; Jiucheng Xu; Shiguang Zhang (IEEE Access, 2019)

Analyzing the Surface Structure of the Binding Domain on DNA and RNA Binding Proteins. - Wei Wang 166; Keliang Li; Hehe Lv; Hongjun Zhang; Shiguang Zhang; Yun Zhou; Junwei Huang (IEEE Access, 2019)

InPrNa: A Tool for Insight Into Protein-Nucleic Acids Interaction Information. - Wei Wang 166; Yuan Zhao; Hongjun Zhang; Shiguang Zhang; Keliang Li; Hehe Lv (IEEE Access, 2019)

Joint neighborhood entropy-based gene selection method with fisher score for tumor classification. - Lin Sun 002; Xiaoyu Zhang; Yu-Hua Qian; Jiucheng Xu; Shiguang Zhang; Yun Tian 002 (Appl. Intell., 2019)

A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures. - Lin Sun 002; Lanying Wang; Jiucheng Xu; Shiguang Zhang (Entropy, 2019)

An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets. - Lin Sun 002; Xiaoyu Zhang; Jiucheng Xu; Shiguang Zhang (Entropy, 2019)

ν-Support Vector Regression Model Based on Gauss-Laplace Mixture Noise Characteristic for Wind Speed Prediction. - Shiguang Zhang; Ting Zhou; Lin Sun 002; Wei Wang 166; Chuan Wang; Wentao Mao (Entropy, 2019)

Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification. - Lin Sun 002; Xiaoyu Zhang; Yu-Hua Qian; Jiucheng Xu; Shiguang Zhang (Inf. Sci., 2019)

Improved LLE and neighborhood rough sets-based gene selection using Lebesgue measure for cancer classification on gene expression data. - Lin Sun 002; Wei Wang 166; Jiucheng Xu; Shiguang Zhang (J. Intell. Fuzzy Syst., 2019)

Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems. - Lin Sun 002; Lanying Wang; Yuhua Qian; Jiucheng Xu; Shiguang Zhang (Knowl. Based Syst., 2019)

Kernel Ridge Regression Model Based on Beta-Noise and Its Application in Short-Term Wind Speed Forecasting. - Shiguang Zhang; Ting Zhou; Lin Sun 002; Chao Liu 057 (Symmetry, 2019)

Generalized Single-Phase Harmonic State Space Modeling of the Modular Multilevel Converter With Zero-Sequence Voltage Compensation. - Zigao Xu; Binbin Li 001; Shengbo Wang; Shiguang Zhang; Dianguo Xu 001 (IEEE Trans. Ind. Electron., 2019)

Multilabel Feature Selection Using Relief and Minimum Redundancy Maximum Relevance Based on Neighborhood Rough Sets. - Miaomiao Huang; Lin Sun 002; Jiucheng Xu; Shiguang Zhang (IEEE Access, 2020)

Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification. - Enhui Shi; Lin Sun 002; Jiucheng Xu; Shiguang Zhang (IEEE Access, 2020)

Twin Least Squares Support Vector Regression of Heteroscedastic Gaussian Noise Model. - Shiguang Zhang; Chao Liu 057; Ting Zhou; Lin Sun 002 (IEEE Access, 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 057; Wei Wang; Baofang Chang (Entropy, 2020)

LSSVR Model of G-L Mixed Noise-Characteristic with Its Applications. - Shiguang Zhang; Ting Zhou; Lin Sun 002; Wei Wang 166; Baofang Chang (Entropy, 2020)

Three-Dimensional Elastodynamic Analysis Employing Partially Discontinuous Boundary Elements. - Yuan Li; Ni Zhang; Yuejiao Gong; Wentao Mao; Shiguang Zhang (Algorithms, 2021)

Density peaks clustering based on k-nearest neighbors and self-recommendation. - Lin Sun 002; Xiaoying Qin; Weiping Ding 001; Jiucheng Xu; Shiguang Zhang (Int. J. Mach. Learn. Cybern., 2021)

Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application. - Shiguang Zhang; Ge Feng; Feng Yuan; Shuangle Guo (IEEE Access, 2022)

Modeling and ex vivo experimental validation of liver tissue carbonization with laser ablation. - Shiguang Zhang; Chunlei Li; Lin Cao 002; Michael A. J. Moser; Wenjun Zhang 005; Zhiqin Qian; Bing Zhang 014 (Comput. Methods Programs Biomed., 2022)

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)

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)

Learning Dual Memory Dictionaries for Blind Face Restoration. - Xiaoming Li 002; Shiguang Zhang; Shangchen Zhou; Lei Zhang 006; Wangmeng Zuo (IEEE Trans. Pattern Anal. Mach. Intell., 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., 2023)

POSTER: Co4U: Efficient and Robust HTTP Message Compression for Edge Computing Networks. - Shiguang Zhang; Jiahao Cao 001; Menghao Zhang 001; Mingwei Xu; Wei Han; Yanbin Zhai; Zhiming Zhang 003 (SIGCOMM (Posters and Demos), 2024)

Proximal LSSVR of Gauss-Laplacian With Mixed-Noise-Characteristics and Its Applications for Short-Term Wind-Speed Forecasting. - Ting Zhou; Shiguang Zhang (IEEE Access, 2025)