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Shenghua Yu
Publication Activity (10 Years)
Years Active: 2013-2020
Publications (10 Years): 5
Top Topics
Linear Regression
Loss Function
Bayes Rule
Neural Network
Top Venues
Neurocomputing
J. Multivar. Anal.
J. Appl. Math.
ICPR
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Publications
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Pan Zhao
,
Shenghua Yu
An Improved Interior Point Algorithm for Quantile Regression.
IEEE Access
8 (2020)
Siyu Fan
,
Yisen Wang
,
Yuan Luo
,
Alexander Schmitt
,
Shenghua Yu
Improving Gravitational Wave Detection with 2D Convolutional Neural Networks.
ICPR
(2020)
Zhengqiu Zhang
,
Ting Zheng
,
Shenghua Yu
Finite-time anti-synchronization of neural networks with time-varying delays via inequality skills.
Neurocomputing
356 (2019)
Zhengqiu Zhang
,
Ailing Li
,
Shenghua Yu
Finite-time synchronization for delayed complex-valued neural networks via integrating inequality method.
Neurocomputing
318 (2018)
Zhengqiu Zhang
,
Shenghua Yu
Global asymptotic stability for a class of complex-valued Cohen-Grossberg neural networks with time delays.
Neurocomputing
171 (2016)
Guikai Hu
,
Shenghua Yu
,
Han Luo
Comparisons of variance estimators in a misspecified linear model with elliptically contoured errors.
J. Multivar. Anal.
133 (2015)
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) (2015)
Shenghua Yu
,
Zhengqiu Zhang
,
Zhiyong Quan
New global exponential stability conditions for inertial Cohen-Grossberg neural networks with time delays.
Neurocomputing
151 (2015)
Guikai Hu
,
Qingguo Li
,
Shenghua Yu
Optimal and minimax prediction in multivariate normal populations under a balanced loss function.
J. Multivar. Anal.
128 (2014)
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 (2014)
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 (2014)
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 (2013)