You-Gan Wang

According to our database, You-Gan Wang authored at least 41 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Xi-An Li, Jinran Wu, Xin Tai, Jianhua Xu, You-Gan Wang

J. Comput. Phys., 2024

Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study.

Jin Yuan, Xuelan Qiu, Jinran Wu, Jiesi Guo, Weide Li, You-Gan Wang

CoRR, 2024

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

Xi-An Li, Jiaxin Deng, Jinran Wu, Shaotong Zhang, Weide Li, You-Gan Wang

Comput. Math. Appl., 2024

Augmented support vector regression with an autoregressive process via an iterative procedure.

Jinran Wu, You-Gan Wang, Hao Zhang

Appl. Soft Comput., 2024

2023

Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data.

Shangrui Zhao, Zhen Yang, Shaotong Zhang, Jinran Wu, Zixi Zhao, Dong-Sheng Jeng, You-Gan Wang

Ecol. Informatics, December, 2023

Inferring circadian gene regulatory relationships from gene expression data with a hybrid framework.

Shuwen Hu, Yi Jing, Tao Li, You-Gan Wang, Zhenyu Liu, Jing Gao, Yu-Chu Tian

BMC Bioinform., December, 2023

Mixture extreme learning machine algorithm for robust regression.

Shangrui Zhao, Xuan-Ang Chen, Jinran Wu, You-Gan Wang

Knowl. Based Syst., November, 2023

Progressive-fidelity computation of the genetic algorithm for energy-efficient virtual machine placement in cloud data centers.

Zhe Ding, Yu-Chu Tian, You-Gan Wang, Weizhe Zhang, Zu-Guo Yu

Appl. Soft Comput., October, 2023

Robust Adaptive Rescaled Lncosh Neural Network Regression Toward Time-Series Forecasting.

Yang Yang, Hu Zhou, Jinran Wu, Zhe Ding, Yu-Chu Tian, Dong Yue, You-Gan Wang

IEEE Trans. Syst. Man Cybern. Syst., September, 2023

Iterative Learning in Support Vector Regression With Heterogeneous Variances.

Jinran Wu, You-Gan Wang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Accelerated computation of the genetic algorithm for energy-efficient virtual machine placement in data centers.

Zhe Ding, Yu-Chu Tian, You-Gan Wang, Weizhe Zhang, Zu-Guo Yu

Neural Comput. Appl., March, 2023

A working likelihood approach to support vector regression with a data-driven insensitivity parameter.

Jinran Wu, You-Gan Wang

Int. J. Mach. Learn. Cybern., March, 2023

A new algorithm for support vector regression with automatic selection of hyperparameters.

You-Gan Wang, Jinran Wu, Zhi-Hua Hu, Geoffrey J. McLachlan

Pattern Recognit., 2023

QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm.

Shangrui Zhao, Yulu Wu, Shuang Tan, Jinran Wu, Zhesen Cui, You-Gan Wang

Expert Syst. Appl., 2023

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

Xi'an Li, Jinran Wu, Jiaxin Deng, Zhe Ding, You-Gan Wang, Xin Tai, Liang Liu

CoRR, 2023

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

Xi-An Li, Jinran Wu, Zhi-Qin John Xu, You-Gan Wang

CoRR, 2023

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

Jiaxin Deng, Xi'an Li, Jinran Wu, Shaotong Zhang, Weide Li, You-Gan Wang

CoRR, 2023

Accelerated Genetic Algorithm with Population Control for Energy-Aware Virtual Machine Placement in Data Centers.

Zhe Ding, Yu-Chu Tian, Maolin Tang, You-Gan Wang, Zu-Guo Yu, Jiong Jin, Weizhe Zhang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Robust penalized extreme learning machine regression with applications in wind speed forecasting.

Yang Yang, Hu Zhou, Yuchao Gao, Jinran Wu, You-Gan Wang, Liya Fu

Neural Comput. Appl., 2022

An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems.

Yang Yang, Yuchao Gao, Shuang Tan, Shangrui Zhao, Jinran Wu, Shangce Gao, Tengfei Zhang, Yu-Chu Tian, You-Gan Wang

Eng. Appl. Artif. Intell., 2022

Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting.

Yang Yang, Hu Zhou, Jinran Wu, Zhe Ding, You-Gan Wang

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.

Shaotong Zhang, Jinran Wu, Yonggang Jia, You-Gan Wang, Yaqi Zhang, Qibin Duan

Eng. Appl. Artif. Intell., 2021

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

Liya Fu, Zhuoran Yang, Fengjing Cai, You-Gan Wang

Comput. Stat., 2021

Small sample bias correction or bias reduction?

Xuemao Zhang, Sudhir Paul, You-Gan Wang

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.

Hao-Dong Xu, Ru-Ping Liang, You-Gan Wang, Jian-Ding Qiu

Briefings Bioinform., 2021

2020

Profile-Guided Three-Phase Virtual Resource Management for Energy Efficiency of Data Centers.

Zhe Ding, Yu-Chu Tian, Maolin Tang, Yuefeng Li, You-Gan Wang, Chunjie Zhou

IEEE Trans. Ind. Electron., 2020

Exact algorithms for energy-efficient virtual machine placement in data centers.

Chen Wei, Zhi-Hua Hu, You-Gan Wang

Future Gener. Comput. Syst., 2020

An improved firefly algorithm for global continuous optimization problems.

Jinran Wu, You-Gan Wang, Kevin Burrage, Yu-Chu Tian, Brodie Lawson, Zhe Ding

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.

Shuwen Hu, Aaron Ingham, Sabine Schmoelzl, Jody McNally, Bryce Little, Daniel Smith, Greg Bishop-Hurley, You-Gan Wang, Yutao Li

Comput. Electron. Agric., 2020

2019

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

Yunlu Jiang, You-Gan Wang, Liya Fu, Xueqin Wang

Technometrics, 2019

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

Insha Ullah, Sudhir Paul, Zhenjie Hong, You-Gan Wang

Bioinform., 2019

2018

Working correlation structure selection in generalized estimating equations.

Liya Fu, Yangyang Hao, You-Gan Wang

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".

Min Zhu, Chang Liu, You-Gan Wang

Soc. Choice Welf., 2017

2016

Efficient parameter estimation via Gaussian copulas for quantile regression with longitudinal data.

Liya Fu, You-Gan Wang

J. Multivar. Anal., 2016

2015

A Gaussian pseudolikelihood approach for quantile regression with repeated measurements.

Liya Fu, You-Gan Wang, Min Zhu

Comput. Stat. Data Anal., 2015

2014

Intra-cluster correlation structure in longitudinal data analysis: Selection criteria and misspecification tests.

Jianwen Xu, You-Gan Wang

Comput. Stat. Data Anal., 2014

2012

Quantile regression for longitudinal data with a working correlation model.

Liya Fu, You-Gan Wang

Comput. Stat. Data Anal., 2012

2011

Rank regression for accelerated failure time model with clustered and censored data.

You-Gan Wang, Liya Fu

Comput. Stat. Data Anal., 2011

2010

Modeling strategies in longitudinal data analysis: Covariate, variance function and correlation structure selection.

You-Gan Wang, Lin-Yee Hin

Comput. Stat. Data Anal., 2010

Rank regression for analysis of clustered data: A natural induced smoothing approach.

Liya Fu, You-Gan Wang, Zhidong Bai

Comput. Stat. Data Anal., 2010

2009

Quantile regression without the curse of unsmoothness.

You-Gan Wang, Quanxi Shao, Min Zhu

Comput. Stat. Data Anal., 2009