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Journal Articles
- 2020
[j11]Pan Zhao
, Shenghua Yu:
An Improved Interior Point Algorithm for Quantile Regression. IEEE Access 8: 139647-139657 (2020)- 2019
- [j10]Zhengqiu Zhang, Ting Zheng, Shenghua Yu:
Finite-time anti-synchronization of neural networks with time-varying delays via inequality skills. Neurocomputing 356: 60-68 (2019) - 2018
- [j9]Zhengqiu Zhang, Ailing Li, Shenghua Yu:
Finite-time synchronization for delayed complex-valued neural networks via integrating inequality method. Neurocomputing 318: 248-260 (2018) - 2016
- [j8]Zhengqiu Zhang, Shenghua Yu:
Global asymptotic stability for a class of complex-valued Cohen-Grossberg neural networks with time delays. Neurocomputing 171: 1158-1166 (2016) - 2015
- [j7]Liwen Xu, Fangqin Yang, Ranran Chen, Shenghua Yu:
A Parametric Bootstrap Test for Two-Way ANOVA Model Without Interaction Under Heteroscedasticity. Commun. Stat. Simul. Comput. 44(5): 1264-1272 (2015) - [j6]Shenghua Yu, Zhengqiu Zhang, Zhiyong Quan:
New global exponential stability conditions for inertial Cohen-Grossberg neural networks with time delays. Neurocomputing 151: 1446-1454 (2015) - [j5]Guikai Hu, Shenghua Yu, Han Luo:
Comparisons of variance estimators in a misspecified linear model with elliptically contoured errors. J. Multivar. Anal. 133: 266-276 (2015) - 2014
- [j4]Zhiyong Quan, Lihong Huang, Shenghua Yu, Zhengqiu Zhang:
Novel LMI-based condition on global asymptotic stability for BAM neural networks with reaction-diffusion terms and distributed delays. Neurocomputing 136: 213-223 (2014) - [j3]Guikai Hu, Qingguo Li, Shenghua Yu:
Risk Comparison of Improved Estimators in a Linear Regression Model with Multivariate t Errors under Balanced Loss Function. J. Appl. Math. 2014: 129205:1-129205:7 (2014) - [j2]Guikai Hu, Qingguo Li, Shenghua Yu:
Optimal and minimax prediction in multivariate normal populations under a balanced loss function. J. Multivar. Anal. 128: 154-164 (2014) - 2013
- [j1]Dongming Zhou, Shenghua Yu, Zhengqiu Zhang:
New LMI-based conditions for global exponential stability to a class of Cohen-Grossberg BAM networks with delays. Neurocomputing 121: 512-522 (2013)
Conference and Workshop Papers
- 2020
- [c1]Siyu Fan, Yisen Wang, Yuan Luo, Alexander Schmitt, Shenghua Yu:
Improving Gravitational Wave Detection with 2D Convolutional Neural Networks. ICPR 2020: 7103-7110
Coauthor Index
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