Search Our Scientific Publications & Authors

IEEE Trans Cybern 2022 Jun 22;PP. Epub 2022 Jun 22.

In recent years, numerous efficient many-objective optimization evolutionary algorithms have been proposed to find well-converged and well-distributed nondominated optimal solutions. However, their scalability performance may deteriorate drastically to solve large-scale many-objective optimization problems (LSMaOPs). Encountering high-dimensional solution space with more than 100 decision variables, some of them may lose diversity and trap into local optima, while others may achieve poor convergence performance. Read More

Comput Intell Neurosci 2022 2;2022:9337209. Epub 2022 Jun 2.

School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China.

Adaptive algorithms are widely used because of their fast convergence rate for training deep neural networks (DNNs). However, the training cost becomes prohibitively expensive due to the computation of the full gradient when training complicated DNN. To reduce the computational cost, we present a stochastic block adaptive gradient online training algorithm in this study, called SBAG. Read More

Stat Med 2022 Jun 5. Epub 2022 Jun 5.

Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA.

There are proposals that extend the classical generalized additive models (GAMs) to accommodate high-dimensional data ( ) using group sparse regularization. However, the sparse regularization may induce excess shrinkage when estimating smooth functions, damaging predictive performance. Moreover, most of these GAMs consider an "all-in-all-out" approach for functional selection, rendering them difficult to answer if nonlinear effects are necessary. Read More

IEEE Trans Cybern 2022 May 24;PP. Epub 2022 May 24.

Clusters in real data are often restricted to low-dimensional subspaces rather than the entire feature space. Recent approaches to circumvent this difficulty are often computationally inefficient and lack theoretical justification in terms of their large-sample behavior. This article deals with the problem by introducing an entropy incentive term to efficiently learn the feature importance within the framework of center-based clustering. Read More

Front Endocrinol (Lausanne) 2022 5;13:769951. Epub 2022 Apr 5.

Department of Electrical and Computer Engineering, University of Houston, Houston, TX, United States.

The prevalence of obesity is increasing around the world at an alarming rate. The interplay of the hormone leptin with the hypothalamus-pituitary-adrenal axis plays an important role in regulating energy balance, thereby contributing to obesity. This study presents a mathematical model, which describes hormonal behavior leading to an energy abnormal equilibrium that contributes to obesity. Read More