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Chenlu Shi
Chenlu Shi
Assistant Professor of Statistics, Colorado State University
Verified email at colostate.edu
Title
Cited by
Cited by
Year
Construction results for strong orthogonal arrays of strength three
C Shi, B Tang
162020
Model-robust subdata selection for big data
C Shi, B Tang
Journal of Statistical Theory and Practice 15, 1-17, 2021
142021
Designs from good Hadamard matrices
C Shi, B Tang
122018
Design selection for strong orthogonal arrays
C Shi, B Tang
Canadian Journal of Statistics 47 (2), 302-314, 2019
102019
Supersaturated designs robust to two-factor interactions
C Shi, B Tang
Journal of Statistical Planning and Inference 200, 119-128, 2019
62019
On construction of nonregular two-level factorial designs with maximum generalized resolution
C Shi, B Tang
Statist. Sinica 33, 2021
42021
Evaluating designs for hyperparameter tuning in deep neural networks
C Shi, AK Chiu, H Xu
The New England Journal of Statistics in Data Science 1 (3), 334-341, 2023
12023
A Projection Space-Filling Criterion and Related Optimality Results
C Shi, H Xu
Journal of the American Statistical Association, 1-23, 2023
2023
Nonregular designs from Paley’s Hadamard matrices: Generalized resolution, projectivity and hidden projection property
G Chen, C Shi, B Tang
Electronic Journal of Statistics 17 (2), 2120-2138, 2023
2023
Supersaturated Designs for Screening Experiments and Strong Orthogonal Arrays for Computer Experiments
C Shi
Simon Fraser University, 2019
2019
An approach to constructing" good" two-level orthogonal factorial designs with large run sizes
C Shi
Simon Fraser University, 2015
2015
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Articles 1–11