Shaoxing Mo

Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non‐Gaussian Hydraulic Conductivities

Shaoxing Mo, Nicholas Zabaras, Xiaoqing Shi et al. · Water Resources Research · 2020 · 137 citations · Full text

Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap

Shaoxing Mo, Yulong Zhong, Ehsan Forootan et al. · Journal of Hydrology · 2021 · 95 citations · Full text

Engineering, Water Resources, Grace-fo Gap +5

A Taylor Expansion‐Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling

Shaoxing Mo, Dan Lu, Xiaoqing Shi et al. · Water Resources Research · 2017 · 65 citations · Full text

Numerical Analysis, Engineering, Global Surrogate Modeling +17

Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother

Xueyuan Kang, Amalia Kokkinaki, Peter K. Kitanidis et al. · Water Resources Research · 2021 · 60 citations

Engineering, Hydrogeophysics, Hydrogeophysical Characterization +19

An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling

Shaoxing Mo, Xiaoqing Shi, Dan Lu et al. · Computers & Geosciences · 2019 · 48 citations · Full text

Carbon Sequestration, Engineering, Geological Carbon Sequestration +10