Hanzhong Liu, Jiyang Ren and Yuehan Yang*, Randomization-based joint central limit theorem and efficient covariate adjustment in stratified 2^K factorial experiments. Journal of the American Statistical Association, 2024, 119(545), 136-150. (One of Top 4 Statistical Journals)
Hanzhong Liu and Yuehan Yang*, Regression-adjusted average treatment effect estimates in stratified randomized experiments, Biometrika, 2020, 107(4):935-948. (One of Top 4 Statistical Journals)
Ke Zhu, Hanzhong Liu and Yuehan Yang*, Design-based theory for Lasso adjustment in randomized block experiments and rerandomized experiments, Journal of Business and Economics Statistics, 2024, in press. (Top Journal in Statistics and Economics)
Shun Yu and Yuehan Yang*, Structured iterative division approach for non-sparse regression models and applications in biological data analysis. Statistical Methods in Medical Research, 2024, in press. (Statistics, Q1).
Zixuan Zhao and Yuehan Yang*, Nonconvex Fusion Penalties for High-dimensional Hierarchical Categorical Variables. Information Sciences, 2024, in press. (Computer Science, Q1)
Siwei Xia and Yuehan Yang*, A model-free feature selection technique of feature screening and random forest based recursive feature elimination. International Journal of Intelligent Systems, 2023, 2400194. (Computer Science, Q1)
Yuehan Yang*, Dimension reduction of high-dimension categorical data with two or multiple responses regarding the interactions between responses. Expert Systems With Applications, 2023, 221:119753. (Computer Science, Q1)
Yimiao Gao and Yuehan Yang*, Transfer learning on stratified data: joint estimation transferred from strata. Pattern Recognition, 2023, 140:109535. (Computer Science, Q1)
Siwei Xia and Yuehan Yang*, An iterative model-free feature screening procedure: forward recursive selection by random forest, Knowledge-Based Systems, 2022, 246:108745. (Computer Science, Q1)
Xingyu Chen and Yuehan Yang*, Local linear approximation with Laplacian smoothing penalty and application in biology. Statistical Methods in Medical Research, 2023, 32(6): 1145-1158. (Statistics, Q1)
Fan Yang, Zhanyang Li, Yushan Xue, and Yuehan Yang*, A penalized least product relative error loss function based on wavelet decomposition for nonparametric multiplicative additive models. Journal of Computational and Applied Mathematics, 2023, 432:115299. (Mathematics, Q1)
Siwei Xia,Yuehan Yang# and Hu Yang*, High-dimensional Sparse Portfolio Selection with Nonnegative Constraint. Applied Mathematics and Computation, 2023, 443:127766. (Mathematics, Q1)
Yuehan Yang and Hu Yang*, Adaptive and reversed penalty for analysis of high-dimensional correlated data, Applied Mathematical Modelling, 2021, 92:63-77. (Mathematics, Q1)
Yuehan Yang*, Ji Zhu and E. George, MuSP: A Multi-step Screening Procedure for Sparse Recovery, Stat, 2021, 10:1-19. (Statistics, Q1, This paper is listed on the Stat Sample Issue as representative of high-dimensional analysis.)
Yuehan Yang* and Ji Zhu, A two-step method for estimating high-dimensional Gaussian graphical models. Science China Mathematics, 2020, 63(6):1203-1218. (Mathematics, Top journal)
Lan Wu and Yuehan Yang*, Nonnegative Elastic Net and application in index tracking. Applied Mathematics and Computation, 2014, 227:541-552. (Mathematics, Q1)
Zixuan Zhao and Yuehan Yang*, Nonconvex Fusion Penalties for High-dimensional Hierarchical Categorical Variables. Information Sciences, 2024, in press.
Shun Yu and Yuehan Yang*, Structured iterative division approach for non-sparse regression models and applications in biological data analysis. Statistical Methods in Medical Research, 2024, in press.
Ke Zhu, Hanzhong Liu and Yuehan Yang*, Blocking, rerandomization, and regression adjustment in randomized experiments with high-dimensional covariates, Journal of Business and Economic Statistics, in press.
Weixiong Liang and Yuehan Yang*, A sequential stepwise screening procedure for sparse recovery in high-dimensional multiresponse models with complex group structures, Statistics and Its Interface, in press.
Yaxuan Zhao and Yuehan Yang*, A robust estimation based on penalized regularization for the varying-coefficient additive model, Journal of Nonparametric Statistics, in press.
Zhaoyang Li and Yuehan Yang*, A semi-orthogonal nonnegative matrix tri-factorization algorithm for overlapping community detection, Statistical Papers, in press.
Rui Chen, Erbo Li, Yushan Xue, and Yuehan Yang*, Spectral feature selection with the Graphical Lasso estimator for ultra-high dimensional Gaussian graphical models. Statistics and Its Interface, in press.
Fan Yang and Yuehan Yang*, A sparse estimate based on variational approximations for semiparametric generalized additive models, Computational Statistics, 2024, 39:1971-1992.
Hanzhong Liu, Jiyang Ren and Yuehan Yang*, Randomization-based joint central limit theorem and efficient covariate adjustment in stratified 2^K factorial experiments. Journal of the American Statistical Association, 2024, 119(545), 136-150.
Yuanyuan Cao, Hongying Li and Yuehan Yang*, Combining random forest and multicollinearity modeling for index tracking. Communications in Statistics - Simulation and Computation, in press.
Zhaoyang Li and Yuehan Yang*, Directed association network analysis on the Standard & Poor's 500 Index. Computational Economics, 2024, 63:111-127.
Yimiao Gao and Yuehan Yang*, A joint estimation for the high-dimensional regression modeling on stratified data. Communications in Statistics - Simulation and Computation, 2023,52(12): 6129-6140.
Zhaoyang Li and Yuehan Yang*, Structurally incoherent adaptive weighted low-rank matrix decomposition for image classification, Applied Intelligence, 2023, 53:25028-25041.
Jia Xing, Binghui Li and Yuehan Yang*, Community detection and clustering characteristics analysis of the stock market. Managerial and Decision Economics, 2023, 44:3893-3906.
Siwei Xia and Yuehan Yang*, A model-free feature selection technique of feature screening and random forest based recursive feature elimination. International Journal of Intelligent Systems, 2023, 2400194.
Xingyu Chen and Yuehan Yang*, Local linear approximation with Laplacian smoothing penalty and application in biology. Statistical Methods in Medical Research, 2023, 32(6): 1145-1158.
Yanan Yan and Yuehan Yang*, Community detection for New York stock market by SCORE-CCD. Computational Statistics, 2023, 38:1255-1282.
Fan Yang, Zhanyang Li, Yushan Xue and Yuehan Yang*, A penalized least product relative error loss function based on wavelet decomposition for nonparametric multiplicative additive models. Journal of Computational and Applied Mathematics, 2023, 432,115299.
Xingyu Chen and Yuehan Yang*, An iterative algorithm with adaptive weights and sparse Laplacian shrinkage for regression problems. Statistics and Its Interface, 2023, 16:433-443.
Yimiao Gao and Yuehan Yang*, Transfer learning on stratified data: joint estimation transferred from strata. Pattern Recognition, 2023, 140:109535.
Yuehan Yang*, Dimension reduction of high-dimension categorical data with two or multiple responses regarding the interactions between responses. Expert Systems With Applications, 2023, 221:119753.
Siwei Xia,Yuehan Yang# and Hu Yang*, High-dimensional Sparse Portfolio Selection with Nonnegative Constraint. Applied Mathematics and Computation, 2023, 443:127766.
Yuehan Yang, Siwei Xia and Hu Yang*, Multivariate sparse laplacian shrinkage for joint estimation of two graphical network structures, Computational Statistics & Data Analysis, 2023, 178:107620.
Yuehan Yang and Siwei Xia*, An integrated precision matrix estimation for multivariate regression problems. Journal of Statistical Planning and Inference, 2023, 222:261-272.
Binghui Li and Yuehan Yang*, Undirected and directed network analysis of the Chinese stock market. Computational Economics, 2022, 60:1155-1173.
Siwei Xia and Yuehan Yang*, An iterative model-free feature screening procedure: forward recursive selection by random forest, Knowledge-Based Systems, 2022, 246:108745.
Siwei Xia,Yuehan Yang and Hu Yang*, Sparse Laplacian shrinkage with the graphical lasso estimator for regression problems, TEST, 2022, 31:255-277.
Wenjun Cao, Lisu Wang and Yuehan Yang*, Multiple penalized regularization for clusters with varying correlation levels. Statistics and Its Interface, 2022, 15:373-382.
Yuehan Yang*, Ji Zhu and E. George, MuSP: A Multi-step Screening Procedure for Sparse Recovery, Stat, 2021, 10(1):1-19.
Yuehan Yang* and Hu Yang, Rates of Convergence of the Adaptive Elastic Net and the Post-selection Procedure in Ultra-high Dimensional Sparse Models. Communications in Statistics Theory and Methods, 2021,50(1):73-94.
Tianchen Gao, Yan Zhang, Siyu Wang,Yuehan Yang and Rui Pan*, Community detection for statistical citation network by D-SCORE, Statistics and Its Interface, 2021, 14:279-294.
Yuehan Yang and Hu Yang*, Adaptive and reversed penalty for analysis of high-dimensional correlated data, Applied Mathematical Modelling, 2021, 92:63-77.
Hanzhong Liu and Yuehan Yang*, Regression-adjusted average treatment effect estimates in stratified randomized experiments, Biometrika, 2020, 107(4):935-948.
Yuehan Yang* and Ji Zhu, A two-step method for estimating high-dimensional Gaussian graphical models. Science China Mathematics, 2020, 63(6):1203-1218.
Yuehan Yang* and Lan Wu, A significance test for the elastic net and its asymptotic distribution with general predictors (in Chinese). Science China Mathematics, 2019, 49:1119-1138.
Yuehan Yang* and Hu Yang, Model selection consistency of lasso for empirical data. Chinese Annals of Mathematics Series B, 2018, 39(4):607-620.
Yuehan Yang* and Lan Wu, Nonnegative adaptive lasso for ultra-high dimensional regression models and a two-stage method applied in financial modeling. Journal of Statistical Planning and Inference, 2016, 174:52-67.
Lan Wu,Yuehan Yang* and Hanzhong Liu, Nonnegative-lasso and application in index tracking. Computational Statistics and Data Analysis, 2014, 70:116-126.
Lan Wu and Yuehan Yang*, Nonnegative Elastic Net and application in index tracking. Applied Mathematics and Computation, 2014, 227:541-552.
