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2020 – today
- 2023
[j14]Luobing Dong
, Zhilong Sun, Yongsong Qin:
An attention-driven nonlinear optimization method for CS-based hyperspectral image reconstruction. Theor. Comput. Sci. 959: 113845 (2023)- 2022
- [j13]Shichao Zhang, Jiaye Li, Wenzhen Zhang, Yongsong Qin:
Hyper-class representation of data. Neurocomputing 503: 200-218 (2022) - [i1]Shichao Zhang, Jiaye Li, Wenzhen Zhang, Yongsong Qin:
Hyper-Class Representation of Data. CoRR abs/2201.13317 (2022) - 2021
- [j12]Chioneso Show Marange, Yongsong Qin:
A new empirical likelihood ratio goodness of fit test for normality based on moment constraints. Commun. Stat. Simul. Comput. 50(6): 1561-1575 (2021)
2010 – 2019
- 2016
- [j11]Qingzhu Lei, Yongsong Qin:
Empirical likelihood for partially linear models under negatively associated errors. J. Syst. Sci. Complex. 29(4): 1145-1159 (2016) - 2015
- [j10]Yongsong Qin, Yinghua Li, Qingzhu Lei:
Joint empirical likelihood confidence regions for a finite number of quantiles under negatively associated samples. J. Syst. Sci. Complex. 28(6): 1389-1398 (2015) - 2011
- [j9]Qingzhu Lei, Yongsong Qin:
Confidence intervals for nonparametric regression functions with missing data: Multiple design case. J. Syst. Sci. Complex. 24(6): 1204-1217 (2011) - [j8]Yongsong Qin, Yinghua Li:
Empirical likelihood for linear models under negatively associated errors. J. Multivar. Anal. 102(1): 153-163 (2011) - 2010
- [j7]Yongsong Qin, Shichao Zhang, Chengqi Zhang:
Combining kNN Imputation and Bootstrap Calibrated: Empirical Likelihood for Incomplete Data Analysis. Int. J. Data Warehous. Min. 6(4): 61-73 (2010)
2000 – 2009
- 2009
- [j6]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases. Expert Syst. Appl. 36(2): 2794-2804 (2009) - [j5]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Estimating confidence intervals for structural differences between contrast groups with missing data. Expert Syst. Appl. 36(3): 6431-6438 (2009) - [j4]Qingzhu Lei, Yongsong Qin:
A modified likelihood ratio test for homogeneity in bivariate normal mixtures of two samples. J. Syst. Sci. Complex. 22(3): 460-468 (2009) - 2008
- [j3]Yongsong Qin, Shichao Zhang:
Empirical likelihood confidence intervals for differences between two datasets with missing data. Pattern Recognit. Lett. 29(6): 803-812 (2008) - [j2]Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Yongsong Qin, Chengqi Zhang:
Missing Value Imputation Based on Data Clustering. Trans. Comput. Sci. 1: 128-138 (2008) - 2007
- [j1]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Semi-parametric optimization for missing data imputation. Appl. Intell. 27(1): 79-88 (2007) - [c4]Chengqi Zhang, Xiaofeng Zhu, Jilian Zhang, Yongsong Qin, Shichao Zhang:
GBKII: An Imputation Method for Missing Values. PAKDD 2007: 1080-1087 - 2006
- [c3]Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Kernel-Based Multi-Imputation for Missing Data. AMT 2006: 106-111 - [c2]Huijing Huang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Shichao Zhang:
Difference Detection Between Two Contrast Sets. DaWaK 2006: 481-490 - [c1]Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Optimized Parameters for Missing Data Imputation. PRICAI 2006: 1010-1016
Coauthor Index
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