C. F. Jeff Wu
Affiliations:- Georgia Institute of Technology, School of Industrial and Systems Engineering
According to our database1,
C. F. Jeff Wu
authored at least 42 papers
between 1994 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on viaf.org
-
on id.loc.gov
-
on d-nb.info
On csauthors.net:
Bibliography
2024
Parameter Inference Based on Gaussian Processes Informed by Nonlinear Partial Differential Equations.
SIAM/ASA J. Uncertain. Quantification, 2024
Conglomerate Multi-fidelity Gaussian Process Modeling, with Application to Heavy-Ion Collisions.
SIAM/ASA J. Uncertain. Quantification, 2024
2022
Technometrics, 2022
Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process.
SIAM/ASA J. Uncertain. Quantification, 2022
SIAM/ASA J. Uncertain. Quantification, 2022
Inference of Nonlinear Partial Differential Equations via Constrained Gaussian Processes.
CoRR, 2022
2021
CoRR, 2021
2020
On the Improved Rates of Convergence for Matérn-Type Kernel Ridge Regression with Application to Calibration of Computer Models.
SIAM/ASA J. Uncertain. Quantification, 2020
Finding optimal points for expensive functions using adaptive RBF-based surrogate model via uncertainty quantification.
J. Glob. Optim., 2020
2019
Analysis-of-Marginal-Tail-Means (ATM): A Robust Method for Discrete Black-Box Optimization.
Technometrics, 2019
2018
Kernel-smoothed proper orthogonal decomposition (KSPOD)-based emulation for prediction of spatiotemporally evolving flow dynamics.
CoRR, 2018
2017
Technometrics, 2017
Sequential Designs Based on Bayesian Uncertainty Quantification in Sparse Representation Surrogate Modeling.
Technometrics, 2017
Data-Driven Analysis and Common Proper Orthogonal Decomposition (CPOD)-Based Spatio-Temporal Emulator for Design Exploration.
CoRR, 2017
2016
A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation and Convergence Properties.
SIAM/ASA J. Uncertain. Quantification, 2016
2015
Technometrics, 2015
Determining the cost optimum among a discrete set of building technologies to satisfy stringent energy targets.
Artif. Intell. Eng. Des. Anal. Manuf., 2015
2014
Technometrics, 2014
2013
Technometrics, 2013
Technometrics, 2013
A Bayesian Approach for Model Selection in Fractionated Split Plot Experiments With Applications in Robust Parameter Design.
Technometrics, 2013
An HMM-based algorithm for evaluating rates of receptor-ligand binding kinetics from thermal fluctuation data.
Bioinform., 2013
2012
Technometrics, 2012
2010
Design of DOE-Based Automatic Process Controller With Consideration of Model and Observation Uncertainties.
IEEE Trans Autom. Sci. Eng., 2010
2009
2008
Gaussian Process Models for Computer Experiments With Qualitative and Quantitative Factors.
Technometrics, 2008
Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments.
Technometrics, 2008
2007
Identifying Promising Compounds in Drug Discovery: Genetic Algorithms and Some New Statistical Techniques.
J. Chem. Inf. Model., 2007
2006
SELC: Sequential Elimination of Level Combinations by Means of Modified Genetic Algorithms.
Technometrics, 2006
2004
Optimal Projective Three-Level Designs for Factor Screening and Interaction Detection.
Technometrics, 2004
Failure Amplification Method: An Information Maximization Approach to Categorical Response Optimization.
Technometrics, 2004
2002
Technometrics, 2002
Technometrics, 2002
1994
Speech recognition using hidden Markov models with polynomial regression functions as nonstationary states.
IEEE Trans. Speech Audio Process., 1994
Signal Process., 1994