Stebėti
Matthias HY Tan
Pavadinimas
Cituota
Cituota
Metai
Uncertainty quantification of microclimate variables in building energy models
Y Sun, Y Heo, M Tan, H Xie, CF Jeff Wu, G Augenbroe
Journal of Building Performance Simulation 7 (1), 17-32, 2014
942014
Generalized selective assembly
MHY Tan, CFJ Wu
IIE Transactions 44 (1), 27-42, 2012
352012
A Bayesian approach for interpreting mean shifts in multivariate quality control
MHY Tan, J Shi
Technometrics 54 (3), 294-307, 2012
332012
Integrated parameter and tolerance design with computer experiments
M Han, MH Yong Tan
IIE Transactions 48 (11), 1004-1015, 2016
312016
Wind Turbine Modeling with Data-driven Methods and Radially Uniform Designs
M Tan, Z Zhang
IEEE Transactions on Industrial Informatics, 2016
312016
Robust design optimization with quadratic loss derived from Gaussian process models
MHY Tan, CFJ Wu
Technometrics 54 (1), 51-63, 2012
282012
Residual distillation: Towards portable deep neural networks without shortcuts
G Li, J Zhang, Y Wang, C Liu, M Tan, Y Lin, W Zhang, J Feng, T Zhang
Advances in Neural Information Processing Systems 33, 8935-8946, 2020
262020
Minimax designs for finite design regions
MHY Tan
Technometrics 55 (3), 346-358, 2013
262013
Uncertainty quantification of microclimate variables in building energy simulation
Y Sun, Y Heo, H Xie, M Tan, J Wu, G Augenbroe
262011
Estimation of the Mean and Variance Response Surfaces when the Means and Variances of the Noise Variables are Unknown
MHY Tan, SH Ng
IIE Transactions 41 (11), 942-956, 2009
222009
Gaussian process modeling of a functional output with information from boundary and initial conditions and analytical approximations
MHY Tan
Technometrics 60 (2), 209-221, 2018
152018
Monotonic quantile regression with Bernstein polynomials for stochastic simulation
MHY Tan
Technometrics 58 (2), 180-190, 2016
152016
Stochastic polynomial interpolation for uncertainty quantification with computer experiments
MHY Tan
Technometrics 57 (4), 457-467, 2015
152015
Robust Parameter Design with Computer Experiments Using Orthonormal Polynomials
MHY Tan
Technometrics, 2015
152015
Bayesian optimization of expected quadratic loss for multiresponse computer experiments with internal noise
MHY Tan
SIAM/ASA Journal on Uncertainty Quantification 8 (3), 891-925, 2020
142020
Gaussian process modeling with boundary information
MHY Tan
Statistica Sinica, 621-648, 2018
142018
A Bayesian approach for model selection in fractionated split plot experiments with applications in robust parameter design
MHY Tan, CF Jeff Wu
Technometrics 55 (3), 359-372, 2013
142013
Integrated parameter and tolerance optimization of a centrifugal compressor based on a complex simulator
M Han, X Liu, M Huang, MHY Tan
Journal of Quality Technology 52 (4), 404-421, 2020
102020
A Gaussian process emulator based approach for Bayesian calibration of a functional input
Z Li, MHY Tan
Technometrics 64 (3), 299-311, 2022
92022
Metamodel-based optimization of stochastic computer models for engineering design under uncertain objective function
G Li, M Hwai-yong Tan, S Hui Ng
IISE Transactions 51 (5), 517-530, 2019
92019
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Straipsniai 1–20