Quantile regression without the curse of unsmoothness. - You-Gan Wang; Quanxi Shao; Min Zhu 002 (Comput. Stat. Data Anal., 2009)

Rank regression for analysis of clustered data: A natural induced smoothing approach. - Liya Fu; You-Gan Wang; Zhidong Bai (Comput. Stat. Data Anal., 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 accelerated failure time model with clustered and censored data. - You-Gan Wang; Liya Fu (Comput. Stat. Data Anal., 2011)

Quantile regression for longitudinal data with a working correlation model. - Liya Fu; You-Gan Wang (Comput. Stat. Data Anal., 2012)

Intra-cluster correlation structure in longitudinal data analysis: Selection criteria and misspecification tests. - Jianwen Xu; You-Gan Wang (Comput. Stat. Data Anal., 2014)

A Gaussian pseudolikelihood approach for quantile regression with repeated measurements. - Liya Fu; You-Gan Wang; Min Zhu 002 (Comput. Stat. Data Anal., 2015)

Efficient parameter estimation via Gaussian copulas for quantile regression with longitudinal data. - Liya Fu; You-Gan Wang (J. Multivar. Anal., 2016)

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 002; Chang Liu; You-Gan Wang (Soc. Choice Welf., 2017)

Working correlation structure selection in generalized estimating equations. - Liya Fu; Yangyang Hao; You-Gan Wang (Comput. Stat., 2018)

Significance tests for analyzing gene expression data with small sample sizes. - Insha Ullah; Sudhir Paul; Zhenjie Hong; You-Gan Wang (Bioinform., 2019)

Robust Estimation Using Modified Huber's Functions With New Tails. - Yunlu Jiang; You-Gan Wang; Liya Fu; Xueqin Wang (Technometrics, 2019)

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)

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)

Exact algorithms for energy-efficient virtual machine placement in data centers. - Chen Wei 003; Zhi-Hua Hu; You-Gan Wang (Future Gener. Comput. Syst., 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)

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)

Small sample bias correction or bias reduction? - Xuemao Zhang; Sudhir Paul; You-Gan Wang (Commun. Stat. Simul. Comput., 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)

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)

Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting. - Yang Yang 052; Hu Zhou; Jinran Wu; Zhe Ding; You-Gan Wang (Appl. Soft Comput., 2022)

An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems. - Yang Yang 052; Yuchao Gao; Shuang Tan; Shangrui Zhao; Jinran Wu; Shangce Gao; Tengfei Zhang 001; Yu-Chu Tian; You-Gan Wang (Eng. Appl. Artif. Intell., 2022)

Robust penalized extreme learning machine regression with applications in wind speed forecasting. - Yang Yang 052; Hu Zhou; Yuchao Gao; Jinran Wu; You-Gan Wang; Liya Fu (Neural Comput. Appl., 2022)

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 (ICONIP (2), 2023)

Solving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks. - Xi'an Li 004; Jinran Wu; Zhi-Qin John Xu; You-Gan Wang (CoRR, 2023)

Extreme Learning Machine-Assisted Solution of Biharmonic Equations via Its Coupled Schemes. - Xi'an Li 004; Jinran Wu; Jiaxin Deng; Zhe Ding; You-Gan Wang; Xin Tai; Liang Liu (CoRR, 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)

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)

A working likelihood approach to support vector regression with a data-driven insensitivity parameter. - Jinran Wu; You-Gan Wang (Int. J. Mach. Learn. Cybern., 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., 2023)

Iterative Learning in Support Vector Regression With Heterogeneous Variances. - Jinran Wu; You-Gan Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Robust Adaptive Rescaled Lncosh Neural Network Regression Toward Time-Series Forecasting. - Yang Yang 052; Hu Zhou; Jinran Wu; Zhe Ding; Yu-Chu Tian; Dong Yue 001; You-Gan Wang (IEEE Trans. Syst. Man Cybern. Syst., 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., 2023)

Mixture extreme learning machine algorithm for robust regression. - Shangrui Zhao; Xuan-Ang Chen; Jinran Wu; You-Gan Wang (Knowl. Based Syst., 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 006; Yu-Chu Tian (BMC Bioinform., 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, 2023)

Augmented support vector regression with an autoregressive process via an iterative procedure. - Jinran Wu; You-Gan Wang; Hao Zhang 152 (Appl. Soft Comput., 2024)

Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions. - Xi'an Li 004; Jiaxin Deng; Jinran Wu; Shaotong Zhang; Weide Li; You-Gan Wang (Comput. Math. Appl., 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)

Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks. - Xi'an Li 004; Jinran Wu; Xin Tai; Jianhua Xu; You-Gan Wang (J. Comput. Phys., 2024)

Advancements in Q-learning meta-heuristic optimization algorithms: A survey. - Yang Yang 052; Yuchao Gao; Zhe Ding; Jinran Wu; Shaotong Zhang; Feifei Han; Xuelan Qiu; Shangce Gao; You-Gan Wang (WIREs Data. Mining. Knowl. Discov., 2024)

Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation. - Siyuan Liu; Jiaxin Deng; Jin Yuan; Weide Li; Xi'an Li 004; Jing Xu; Shaotong Zhang; Jinran Wu; You-Gan Wang (Earth Sci. Informatics, 2024)

Fourier-feature induced physics informed randomized neural network method to solve the biharmonic equation. - Xi'an Li 004; Jinran Wu; Yujia Huang; Zhe Ding; Xin Tai; Liang Liu; You-Gan Wang (J. Comput. Appl. Math., 2025)

LF-HGRILF: A law-fact heterogeneous graph representation and iterative learning framework for legal judgment prediction. - Yinying Kong; You-Gan Wang; Haodong Deng; Zhanhao Xiao; Yuke Zhang (Knowl. Based Syst., 2025)

Multi-Granularity Autoformer for long-term deterministic and probabilistic power load forecasting. - Yang Yang 052; Yuchao Gao; Hu Zhou; Jinran Wu; Shangce Gao; You-Gan Wang (Neural Networks, 2025)

Inflation Transmission Diagnostics via a Bayesian Graph Vector Autoregressive Model with Markov Switching. - Jiali Fu; Fengjing Cai; Jinran Wu; Shangrui Zhao; You-Gan Wang (J. Syst. Sci. Complex., 2025)

An adaptive regression algorithm with a clustering process for multi-modal data prediction. - Shangrui Zhao; Weiqi Yu; Yulu Wu; Jinran Wu; Xi'an Li 004; You-Gan Wang (Discov. Comput., 2025)