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Xinwei Deng
Xinwei Deng
Professor of Statistics, Virginia Tech
Verified email at vt.edu - Homepage
Title
Cited by
Cited by
Year
Sparse linear discriminant analysis by thresholding for high dimensional data
J Shao, Y Wang, X Deng, S Wang
2852011
Estimation in high-dimensional linear models with deterministic design matrices
J Shao, X Deng
972012
Active learning through sequential design with applications to detection of money laundering
X Deng, VR Joseph, A Sudjianto, CFJ Wu
Journal of the American Statistical Association 104 (487), 969-981, 2009
792009
Additive Gaussian process for computer models with qualitative and quantitative factors
X Deng, CD Lin, KW Liu, RK Rowe
Technometrics 59 (3), 283-292, 2017
762017
Predictive computational modeling of the mucosal immune responses during Helicobacter pylori infection
A Carbo, J Bassaganya-Riera, M Pedragosa, M Viladomiu, M Marathe, ...
PloS one 8 (9), e73365, 2013
662013
Scalable algorithms for the sparse ridge regression
W Xie, X Deng
SIAM Journal on Optimization 30 (4), 3359-3386, 2020
562020
Functional quantitative and qualitative models for quality modeling in a fused deposition modeling process
H Sun, PK Rao, ZJ Kong, X Deng, R Jin
IEEE Transactions on Automation Science and Engineering 15 (1), 393-403, 2017
482017
A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition
ED Nino-Ruiz, A Sandu, X Deng
Journal of Computational Science 36, 100654, 2019
462019
Design for computer experiments with qualitative and quantitative factors
X Deng, Y Hung, CD Lin
Statistica Sinica, 1567-1581, 2015
442015
QQ models: Joint modeling for quantitative and qualitative quality responses in manufacturing systems
X Deng, R Jin
Technometrics 57 (3), 320-331, 2015
442015
Penalized covariance matrix estimation using a matrix-logarithm transformation
X Deng, KW Tsui
Journal of Computational and Graphical Statistics 22 (2), 494-512, 2013
432013
An ensemble Kalman filter implementation based on modified Cholesky decomposition for inverse covariance matrix estimation
ED Nino-Ruiz, A Sandu, X Deng
SIAM Journal on Scientific Computing 40 (2), A867-A886, 2018
412018
Driving safety assessment for ride-hailing drivers
H Mao, X Deng, H Jiang, L Shi, H Li, L Tuo, D Shi, F Guo
Accident Analysis & Prevention 149, 105574, 2021
382021
Modeling maximum daily temperature using a varying coefficient regression model
H Li, X Deng, DY Kim, EP Smith
Water Resources Research 50 (4), 3073-3087, 2014
382014
Statistical approach to quantifying the elastic deformation of nanomaterials
X Deng, VR Joseph, W Mai, ZL Wang, CFJ Wu
Proceedings of the National Academy of Sciences 106 (29), 11845-11850, 2009
322009
Meta-modeling of high-fidelity FEA simulation for efficient product and process design in additive manufacturing
L Wang, X Chen, S Kang, X Deng, R Jin
Additive Manufacturing 35, 101211, 2020
282020
Logistic regression for crystal growth process modeling through hierarchical nonnegative garrote-based variable selection
H Sun, X Deng, K Wang, R Jin
Iie Transactions 48 (8), 787-796, 2016
282016
Ensemble modeling for data fusion in manufacturing process scale-up
R Jin, X Deng
IIE Transactions 47 (3), 203-214, 2015
282015
Manufacturing quality prediction using smooth spatial variable selection estimator with applications in aerosol jet® printed electronics manufacturing
Y Li, H Sun, X Deng, C Zhang, HP Wang, R Jin
IISE Transactions 52 (3), 321-333, 2020
272020
An improved modified Cholesky decomposition approach for precision matrix estimation
X Kang, X Deng
Journal of Statistical Computation and Simulation 90 (3), 443-464, 2020
272020
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