Chih-Li Sung

发表

An Efficient Surrogate Model for Emulation and Physics Extraction of Large Eddy Simulations

V. R. Joseph, V. Yang, Simon Mak, 2016, Journal of the American Statistical Association.

Statistica Sinica Preprint No : SS-2016-0138 R 2 Title Exploiting Variance Reduction Potential in Local Gaussian Process

Chih-Li Sung, Robert B. Gramacy, R. Gramacy, 2017 .

Kernel-Smoothed Proper Orthogonal Decomposition–Based Emulation for Spatiotemporally Evolving Flow Dynamics Prediction

V. Yang, Simon Mak, Chih-Li Sung, 2019 .

SEQUENTIAL INTERVAL ESTIMATION FOR BERNOULLI TRIALS

Mathias A. Klapp, Y. Mei, Chih-Li Sung, 2018 .

Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak

Chih-Li Sung, 2021, The Annals of Applied Statistics.

Efficient calibration for imperfect epidemic models with applications to the analysis of COVID-19

Chih-Li Sung, Ying Hung, 2020, 2009.12523.

Stacking designs: designing multi-ﬁdelity computer experiments with conﬁdence

Simon Mak, Chih-Li Sung, Yi Ji, 2022 .

Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems

Wenjia Wang, I. Harris, F. Cakoni, 2022, Statistica Sinica.

mcGP: mesh-clustered Gaussian process emulator for partial differential equation systems

Chih-Li Sung, Xingjian Wang, Liang Ding, 2023, 2301.10387.

A Generalized Gaussian Process Model for Computer Experiments With Binary Time Series

Chih-Li Sung, Ying Hung, Cheng Zhu, 2017, Journal of the American Statistical Association.

Potentially Predictive Variance Reducing Subsample Locations in Local Gaussian Process Regression

Chih-Li Sung, Robert B. Gramacy, R. Gramacy, 2022 .

Calibration of computer models with heteroscedastic measurement errors

Beau David Barber, Chih-Li Sung, B. Walker, 2019, 1910.11518.

Calibration of Inexact Computer Models with Heteroscedastic Errors

Beau David Barber, Chih-Li Sung, B. Walker, 2019, SIAM/ASA J. Uncertain. Quantification.

Calibration of computer models with heteroscedastic errors and application to plant relative growth rates

Chih-Li Sung, Berkley J. Walker, Beau David Barber, 2019 .

Common Proper Orthogonal Decomposition-Based Spatiotemporal Emulator for Design Exploration

Xingjian Wang, Vigor Yang, Chih-Li Sung, 2018, AIAA Journal.

Advancing inverse scattering with surrogate modeling and Bayesian inference for functional inputs

Chih-Li Sung, Yao Song, Ying Hung, 2023, 2305.01188.

Data-Driven Modeling of General Fluid Density Under Subcritical and Supercritical Conditions

Zhuyin Ren, Chih-Li Sung, Xingjian Wang, 2023, AIAA Journal.

Stacking designs: designing multi-ﬁdelity experiments with target predictive accuracy ∗

Simon Mak, Chih-Li Sung, Yi Ji, 2023 .

Efficient calibration for imperfect epidemic models with applications to the analysis of COVID-19

Chih-Li Sung, Ying Hung, 2020, 2009.12523.

A Clustered Gaussian Process Model for Computer Experiments

Chih-Li Sung, Benjamin Haaland, Youngdeok Hwang, 2020, Statistica Sinica.

Clustered Gaussian process model with an application to solar irradiance emulation

Siyuan Lu, Chih-Li Sung, Y. Hwang, 2019, 1911.04602.

Kernel-smoothed proper orthogonal decomposition (KSPOD)-based emulation for prediction of spatiotemporally evolving flow dynamics pdf

Xingjian Wang, Vigor Yang, Chih-Li Sung, 2018, ArXiv.

Multiresolution Functional ANOVA for Large-Scale, Many-Input Computer Experiments

Chih-Li Sung, Matthew Plumlee, Wenjia Wang, 2017, Journal of the American Statistical Association.

Data-Driven Analysis and Common Proper Orthogonal Decomposition (CPOD)-Based Spatio-Temporal Emulator for Design Exploration pdf

Xingjian Wang, Vigor Yang, Chih-Li Sung, 2017, ArXiv.

Mesh-clustered Gaussian process emulator for partial differential equation systems

Chih-Li Sung, Xingjian Wang, Liang Ding, 2023 .

Exploiting Variance Reduction Potential in Local Gaussian Process Search

R. Gramacy, Chih-Li Sung, Ben Haaland, 2018 .

Calibration for Computer Experiments With Binary Responses and Application to Cell Adhesion Study

Chih-Li Sung, Ying Hung, Cheng Zhu, 2018, Journal of the American Statistical Association.

Stacking Designs: Designing Multifidelity Computer Experiments with Target Predictive Accuracy

Chih-Li Sung, Yi Ji, Simon Mak, 2022, SIAM/ASA J. Uncertain. Quantification.

Statistica Sinica Preprint

Siyuan Lu, Chih-Li Sung, Y. Hwang, 2021 .

Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems

I. Harris, F. Cakoni, Chih-Li Sung, 2022, Statistica Sinica.