Yongsong Qin

According to our database, Yongsong Qin authored at least 18 papers between 2006 and 2023.

Collaborative distances:

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

2023

An attention-driven nonlinear optimization method for CS-based hyperspectral image reconstruction.

Luobing Dong, Zhilong Sun, Yongsong Qin

Theor. Comput. Sci., May, 2023

2022

Hyper-class representation of data.

Shichao Zhang, Jiaye Li, Wenzhen Zhang, Yongsong Qin

Neurocomputing, 2022

2021

A new empirical likelihood ratio goodness of fit test for normality based on moment constraints.

Chioneso Show Marange, Yongsong Qin

Commun. Stat. Simul. Comput., 2021

2016

Empirical likelihood for partially linear models under negatively associated errors.

Qingzhu Lei, Yongsong Qin

J. Syst. Sci. Complex., 2016

2015

Joint empirical likelihood confidence regions for a finite number of quantiles under negatively associated samples.

Yongsong Qin, Yinghua Li, Qingzhu Lei

J. Syst. Sci. Complex., 2015

2011

Empirical likelihood for linear models under negatively associated errors.

Yongsong Qin, Yinghua Li

J. Multivar. Anal., 2011

Confidence intervals for nonparametric regression functions with missing data: Multiple design case.

Qingzhu Lei, Yongsong Qin

J. Syst. Sci. Complex., 2011

2010

Combining kNN Imputation and Bootstrap Calibrated: Empirical Likelihood for Incomplete Data Analysis.

Yongsong Qin, Shichao Zhang, Chengqi Zhang

Int. J. Data Warehous. Min., 2010

2009

A modified likelihood ratio test for homogeneity in bivariate normal mixtures of two samples.

Qingzhu Lei, Yongsong Qin

J. Syst. Sci. Complex., 2009

Estimating confidence intervals for structural differences between contrast groups with missing data.

Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang

Expert Syst. Appl., 2009

POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases.

Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang

Expert Syst. Appl., 2009

2008

Missing Value Imputation Based on Data Clustering.

Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Yongsong Qin, Chengqi Zhang

Trans. Comput. Sci., 2008

Empirical likelihood confidence intervals for differences between two datasets with missing data.

Yongsong Qin, Shichao Zhang

Pattern Recognit. Lett., 2008

2007

Semi-parametric optimization for missing data imputation.

Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang

Appl. Intell., 2007

GBKII: An Imputation Method for Missing Values.

Chengqi Zhang, Xiaofeng Zhu, Jilian Zhang, Yongsong Qin, Shichao Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

2006

Optimized Parameters for Missing Data Imputation.

Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Difference Detection Between Two Contrast Sets.

Huijing Huang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Shichao Zhang

Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

Kernel-Based Multi-Imputation for Missing Data.

Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang

Proceedings of the Advances in Intelligent IT, 2006