| Optimal maximin -distance Latin hypercube designs based on good lattice point designs L Wang, Q Xiao, H Xu The Annals of Statistics 46 (6B), 3741-3766, 2018 | 55 | 2018 |
| Orthogonal subsampling for big data linear regression L Wang, J Elmstedt, WK Wong, H Xu The Annals of Applied Statistics 15 (3), 1273-1290, 2021 | 30 | 2021 |
| Construction of orthogonal symmetric Latin hypercube designs L Wang, F Sun, DKJ Lin, MQ Liu Statistica Sinica 28 (3), 1503-1520, 2018 | 30 | 2018 |
| Application of kriging models for a drug combination experiment on lung cancer Q Xiao, L Wang, H Xu Statistics in medicine 38 (2), 236-246, 2019 | 28 | 2019 |
| Nearly orthogonal Latin hypercube designs for many design columns L Wang, JF Yang, DKJ Lin, MQ Liu Statistica Sinica, 1599-1612, 2015 | 17 | 2015 |
| Improving the diagnosis of thyroid cancer by machine learning and clinical data NM Xi, L Wang, C Yang Scientific reports 12 (1), 11143, 2022 | 15 | 2022 |
| Data-driven RRAM device models using Kriging interpolation I Hossen, MA Anders, L Wang, GC Adam Scientific Reports 12 (1), 5963, 2022 | 11 | 2022 |
| scSampler: fast diversity-preserving subsampling of large-scale single-cell transcriptomic data D Song, NM Xi, JJ Li, L Wang Bioinformatics 38 (11), 3126-3127, 2022 | 6 | 2022 |
| A Class of Multilevel Nonregular Designs for Studying Quantitative Factors L Wang, H Xu Statistica Sinica 32, 825-845, 2022 | 6 | 2022 |
| Fractional factorial designs for Fourier-cosine models L Wang, H Xu, MQ Liu Metrika 86 (3), 373-390, 2023 | 4 | 2023 |
| Independence-encouraging subsampling for nonparametric additive models Y Zhang, L Wang, X Zhang, HY Wang Journal of Computational and Graphical Statistics, 1-10, 2024 | 3 | 2024 |
| A fast bootstrap algorithm for causal inference with large data M Kosko, L Wang, M Santacatterina Statistics in Medicine, 2024 | 2 | 2024 |
| Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models J Zhu, L Wang, F Sun Journal of Computational and Graphical Statistics, 1-10, 2024 | 2 | 2024 |
| Digital Triplet: A Sequential Methodology for Digital Twin Learning X Zhang, DKJ Lin, L Wang Mathematics 11 (12), 2661, 2023 | 2 | 2023 |
| Balanced subsampling for big data with categorical covariates L Wang arXiv preprint arXiv:2212.12595, 2022 | 2 | 2022 |
| Heteroscedastic Gaussian Process Regression for ReRAM Device Modeling I Hossen, Y Zang, MA Anders, L Wang, GC Adam 2022 6th IEEE Electron Devices Technology & Manufacturing Conference (EDTM …, 2022 | 1 | 2022 |
| Space-Filling Designs and Big Data Subsampling L Wang University of California, Los Angeles, 2019 | 1 | 2019 |
| Translating proof-of-concept for platelet slip into improved antithrombotic therapeutic regimens SJ Denardo, PP Vlachos, BA Meyers, R Babakhani-Galangashi, L Wang, ... Platelets 35 (1), 2353582, 2024 | | 2024 |
| Construction of maximin -distance Latin hypercube designs Y Yin, L Wang, H Xu Electronic Journal of Statistics 17 (2), 3942-3968, 2023 | | 2023 |
Hongquan XuProfessor of Statistics and Data Science, UCLA在 stat.ucla.edu 的电子邮件经过验证
