Guang Lin

Overview

Best Publications

• Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification

  Ilias Bilionis;Nicholas Zabaras;Bledar A. Konomi;Guang Lin

  212
  Citations

• Compressive Sensing Based Machine Learning Strategy For Characterizing The Flow Around A Cylinder With Limited Pressure Measurements

  Ido Bright;Guang Lin;J. Nathan Kutz

  190
  Citations

• Robust data-driven discovery of governing physical laws with error bars.

  Sheng Zhang;Guang Lin

  168
  Citations

• Adaptive ANOVA decomposition of stochastic incompressible and compressible flows

  Xiu Yang;Minseok Choi;Guang Lin;George Em Karniadakis

  159
  Citations

• Sensitivity of surface flux simulations to hydrologic parameters based on an uncertainty quantification framework applied to the Community Land Model

  Zhangshuan Hou;Maoyi Huang;L. Ruby Leung;Guang Lin

  154
  Citations

• An efficient, high-order probabilistic collocation method on sparse grids for three-dimensional flow and solute transport in randomly heterogeneous porous media

  Guang Lin;Alexandre M. Tartakovsky

  143
  Citations

• Comparison of physical-based, data-driven and hybrid modeling approaches for evapotranspiration estimation

  Xiaolong Hu;Liangsheng Shi;Guang Lin;Lin Lin

  131
  Citations

• Infrared Thermal Imaging-Based Crack Detection Using Deep Learning

  Jun Yang;Wei Wang;Guang Lin;Qing Li

  128
  Citations

• Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots

  Junpeng Wang;Xiaotong Liu;Han-Wei Shen;Guang Lin

  124
  Citations

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

  Jiangjiang Zhang;Guang Lin;Weixuan Li;Laosheng Wu

  116
  Citations

• Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks

  Ehsan Kharazmi;Min Cai;Min Cai;Xiaoning Zheng;Xiaoning Zheng;Zhen Zhang

  111
  Citations

• ConvPDE-UQ: Convolutional neural networks with quantified uncertainty for heterogeneous elliptic partial differential equations on varied domains

  Nick Winovich;Karthik Ramani;Guang Lin

  97
  Citations

• A sensitivity analysis of cloud properties to CLUBB parameters in the single-column Community Atmosphere Model (SCAM5)

  Zhun Guo;Zhun Guo;Minghuai Wang;Yun Qian;Vincent E. Larson

  88
  Citations

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

  Jiangjiang Zhang;Jasper A. Vrugt;Jasper A. Vrugt;Xiaoqing Shi;Guang Lin

  85
  Citations

• Generating Random Earthquake Events for Probabilistic Tsunami Hazard Assessment

  Randall J. LeVeque;Knut Waagan;Frank I. González;Donsub Rim

  83
  Citations

• Predicting shock dynamics in the presence of uncertainties

  G. Lin;C.-H. Su;G. E. Karniadakis

  82
  Citations

• Weak Galerkin finite element methods for Darcy flow: Anisotropy and heterogeneity

  Guang Lin;Guang Lin;Jiangguo Liu;Lin Mu;Xiu Ye

  78
  Citations

• A Sensitivity Study of Radiative Fluxes at the Top of Atmosphere to Cloud-Microphysics and Aerosol Parameters in the Community Atmosphere Model CAM5

  Chun Zhao;Xiaohong Liu;Xiaohong Liu;Yun Qian;Jin-Ho Yoon

  75
  Citations

• Dynamic-Feature Extraction, Attribution, and Reconstruction (DEAR) Method for Power System Model Reduction

  Shaobu Wang;Shuai Lu;Ning Zhou;Guang Lin

  72
  Citations

• Uncertainty quantification via random domain decomposition and probabilistic collocation on sparse grids

  G. Lin;A. M. Tartakovsky;D. M. Tartakovsky

  71
  Citations

• DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving

  Wei Deng;Junwei Pan;Tian Zhou;Deguang Kong

  54
  Citations