You-Gan Wang

Orcid: 0000-0003-0901-4671

According to our database1, You-Gan Wang authored at least 37 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data.
Ecol. Informatics, December, 2023

Inferring circadian gene regulatory relationships from gene expression data with a hybrid framework.
BMC Bioinform., December, 2023

Mixture extreme learning machine algorithm for robust regression.
Knowl. Based Syst., November, 2023

Progressive-fidelity computation of the genetic algorithm for energy-efficient virtual machine placement in cloud data centers.
Appl. Soft Comput., October, 2023

Robust Adaptive Rescaled Lncosh Neural Network Regression Toward Time-Series Forecasting.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023

Iterative Learning in Support Vector Regression With Heterogeneous Variances.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Accelerated computation of the genetic algorithm for energy-efficient virtual machine placement in data centers.
Neural Comput. Appl., March, 2023

A working likelihood approach to support vector regression with a data-driven insensitivity parameter.
Int. J. Mach. Learn. Cybern., March, 2023

A new algorithm for support vector regression with automatic selection of hyperparameters.
Pattern Recognit., 2023

QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm.
Expert Syst. Appl., 2023

Extreme Learning Machine-Assisted Solution of Biharmonic Equations via Its Coupled Schemes.
CoRR, 2023

Solving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks.
CoRR, 2023

Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions.
CoRR, 2023

Accelerated Genetic Algorithm with Population Control for Energy-Aware Virtual Machine Placement in Data Centers.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Robust penalized extreme learning machine regression with applications in wind speed forecasting.
Neural Comput. Appl., 2022

An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems.
Eng. Appl. Artif. Intell., 2022

Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting.
Appl. Soft Comput., 2022

2021
A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability.
Eng. Appl. Artif. Intell., 2021

Efficient and doubly-robust methods for variable selection and parameter estimation in longitudinal data analysis.
Comput. Stat., 2021

Small sample bias correction or bias reduction?
Commun. Stat. Simul. Comput., 2021

mUSP: a high-accuracy map of the in situ crosstalk of ubiquitylation and SUMOylation proteome predicted via the feature enhancement approach.
Briefings Bioinform., 2021

2020
Profile-Guided Three-Phase Virtual Resource Management for Energy Efficiency of Data Centers.
IEEE Trans. Ind. Electron., 2020

Exact algorithms for energy-efficient virtual machine placement in data centers.
Future Gener. Comput. Syst., 2020

An improved firefly algorithm for global continuous optimization problems.
Expert Syst. Appl., 2020

Inclusion of features derived from a mixture of time window sizes improved classification accuracy of machine learning algorithms for sheep grazing behaviours.
Comput. Electron. Agric., 2020

2019
Robust Estimation Using Modified Huber's Functions With New Tails.
Technometrics, 2019

Significance tests for analyzing gene expression data with small sample sizes.
Bioinform., 2019

2018
Working correlation structure selection in generalized estimating equations.
Comput. Stat., 2018

2017
A comment on Koh's "The optimal design of fallible organizations: invariance of optimal decision threshold and uniqueness of hierarchy and polyarchy structures".
Soc. Choice Welf., 2017

2016
Efficient parameter estimation via Gaussian copulas for quantile regression with longitudinal data.
J. Multivar. Anal., 2016

2015
A Gaussian pseudolikelihood approach for quantile regression with repeated measurements.
Comput. Stat. Data Anal., 2015

2014
Intra-cluster correlation structure in longitudinal data analysis: Selection criteria and misspecification tests.
Comput. Stat. Data Anal., 2014

2012
Quantile regression for longitudinal data with a working correlation model.
Comput. Stat. Data Anal., 2012

2011
Rank regression for accelerated failure time model with clustered and censored data.
Comput. Stat. Data Anal., 2011

2010
Modeling strategies in longitudinal data analysis: Covariate, variance function and correlation structure selection.
Comput. Stat. Data Anal., 2010

Rank regression for analysis of clustered data: A natural induced smoothing approach.
Comput. Stat. Data Anal., 2010

2009
Quantile regression without the curse of unsmoothness.
Comput. Stat. Data Anal., 2009


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