New LMI-based conditions for global exponential stability to a class of Cohen-Grossberg BAM networks with delays. - Dongming Zhou; Shenghua Yu; Zhengqiu Zhang (Neurocomputing, 2013)

Novel LMI-based condition on global asymptotic stability for BAM neural networks with reaction-diffusion terms and distributed delays. - Zhiyong Quan; Lihong Huang; Shenghua Yu; Zhengqiu Zhang (Neurocomputing, 2014)

Risk Comparison of Improved Estimators in a Linear Regression Model with Multivariate t Errors under Balanced Loss Function. - Guikai Hu; Qingguo Li; Shenghua Yu (J. Appl. Math., 2014)

Optimal and minimax prediction in multivariate normal populations under a balanced loss function. - Guikai Hu; Qingguo Li; Shenghua Yu (J. Multivar. Anal., 2014)

A Parametric Bootstrap Test for Two-Way ANOVA Model Without Interaction Under Heteroscedasticity. - Liwen Xu; Fangqin Yang; Ranran Chen; Shenghua Yu (Commun. Stat. Simul. Comput., 2015)

New global exponential stability conditions for inertial Cohen-Grossberg neural networks with time delays. - Shenghua Yu; Zhengqiu Zhang; Zhiyong Quan (Neurocomputing, 2015)

Comparisons of variance estimators in a misspecified linear model with elliptically contoured errors. - Guikai Hu; Shenghua Yu; Han Luo (J. Multivar. Anal., 2015)

Global asymptotic stability for a class of complex-valued Cohen-Grossberg neural networks with time delays. - Zhengqiu Zhang; Shenghua Yu (Neurocomputing, 2016)

Finite-time synchronization for delayed complex-valued neural networks via integrating inequality method. - Zhengqiu Zhang; Ailing Li; Shenghua Yu (Neurocomputing, 2018)

Finite-time anti-synchronization of neural networks with time-varying delays via inequality skills. - Zhengqiu Zhang; Ting Zheng; Shenghua Yu (Neurocomputing, 2019)

Improving Gravitational Wave Detection with 2D Convolutional Neural Networks. - Siyu Fan; Yisen Wang 001; Yuan Luo 003; Alexander Schmitt; Shenghua Yu (ICPR, 2020)

An Improved Interior Point Algorithm for Quantile Regression. - Pan Zhao; Shenghua Yu (IEEE Access, 2020)