Guang Lin

发表

Inverse Modeling of Hydrologic Systems with Adaptive Multifidelity Markov Chain Monte Carlo Simulations

J. Man, Jiangjiang Zhang, L. Zeng, 2017, Water Resources Research.

Efficient evaluation of small failure probability in high‐dimensional groundwater contaminant transport modeling via a two‐stage Monte Carlo method

Guang Lin, Lingzao Zeng, Weixuan Li, 2017 .

Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems With a Kalman‐Inspired Proposal Distribution

Jasper A. Vrugt, Guang Lin, Lingzao Zeng, 2017, Water Resources Research.

An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions

Guang Lin, Lingzao Zeng, Weixuan Li, 2016, 1611.04702.

A generalized multi-fidelity simulation method using sparse polynomial chaos expansion

Lingzao Zeng, Yijun Yao, Jun Man, 2021, J. Comput. Appl. Math..

PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations

Shiqi Zhang, Guang Lin, Jiahao Zhang, 2022, ArXiv.

Speed-up of posterior inference of highly-parameterized environmental models from a Kalman proposal distribution: DREAM(KZS)

Guang Lin, Jasper A. Vrugt, Lingzao Zeng, 2017 .

An iterative local-updating ensemble smoother for high-dimensional inverse modeling with multimodal distributions

Jiangjiang Zhang, Weixuan Li, L. Zeng, 2016 .

RMFGP: Rotated Multi-fidelity Gaussian process with Dimension Reduction for High-dimensional Uncertainty Quantification

Shiqi Zhang, Guang Lin, Jiahao Zhang, 2022, ArXiv.