Shenghua Yu

12 papers B 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	An Improved Interior Point Algorithm for Quantile Regression. IEEE Access Pan Zhao, Shenghua Yu
2020	B	`conf`	Improving Gravitational Wave Detection with 2D Convolutional Neural Networks. ICPR Siyu Fan, Yisen Wang, Yuan Luo, Alexander Schmitt, Shenghua Yu
2019	J	`jnl`	Finite-time anti-synchronization of neural networks with time-varying delays via inequality skills. Neurocomputing Zhengqiu Zhang, Ting Zheng, Shenghua Yu
2018	J	`jnl`	Finite-time synchronization for delayed complex-valued neural networks via integrating inequality method. Neurocomputing Zhengqiu Zhang, Ailing Li, Shenghua Yu
2016	J	`jnl`	Global asymptotic stability for a class of complex-valued Cohen-Grossberg neural networks with time delays. Neurocomputing Zhengqiu Zhang, Shenghua Yu
2015	J	`jnl`	A Parametric Bootstrap Test for Two-Way ANOVA Model Without Interaction Under Heteroscedasticity. Commun. Stat. Simul. Comput. Liwen Xu, Fangqin Yang, Ranran Chen, Shenghua Yu
2015	J	`jnl`	Comparisons of variance estimators in a misspecified linear model with elliptically contoured errors. J. Multivar. Anal. Guikai Hu, Shenghua Yu, Han Luo
2015	J	`jnl`	New global exponential stability conditions for inertial Cohen-Grossberg neural networks with time delays. Neurocomputing Shenghua Yu, Zhengqiu Zhang, Zhiyong Quan
2014	J	`jnl`	Novel LMI-based condition on global asymptotic stability for BAM neural networks with reaction-diffusion terms and distributed delays. Neurocomputing Zhiyong Quan, Lihong Huang, Shenghua Yu, Zhengqiu Zhang
2014	J	`jnl`	Optimal and minimax prediction in multivariate normal populations under a balanced loss function. J. Multivar. Anal. Guikai Hu, Qingguo Li, Shenghua Yu
2014	J	`jnl`	Risk Comparison of Improved Estimators in a Linear Regression Model with Multivariate t Errors under Balanced Loss Function. J. Appl. Math. Guikai Hu, Qingguo Li, Shenghua Yu
2013	J	`jnl`	New LMI-based conditions for global exponential stability to a class of Cohen-Grossberg BAM networks with delays. Neurocomputing Dongming Zhou, Shenghua Yu, Zhengqiu Zhang