Name
Affiliation
Papers
GUANG LIN
Brown University
87
Collaborators
Citations 
PageRank 
178
223
38.16
Referers 
Referees 
References 
550
834
496
Search Limit
100834
Title
Citations
PageRank
Year
Vapor–liquid equilibrium estimation of n-alkane/nitrogen mixtures using neural networks00.342022
A consistent and conservative Phase-Field method for multiphase incompressible flows00.342022
Fed-DeepONet: Stochastic Gradient-Based Federated Training of Deep Operator Networks00.342022
Inverse Modeling of Hydrologic Parameters in CLM4 via Generalized Polynomial Chaos in the Bayesian Framework00.342022
A consistent and conservative Phase-Field model for thermo-gas-liquid-solid flows including liquid-solid phase change00.342022
RotEqNet: Rotation-equivariant network for fluid systems with symmetric high-order tensors00.342022
Learning-PDE-Based Approximate Optimal Control for an MHD System With Uncertainty Quantification00.342022
An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization00.342022
Block triangular preconditioning for stochastic Galerkin method00.342022
Multi-element flow-driven spectral chaos (ME-FSC) method for uncertainty quantification of dynamical systems00.342022
Interacting Contour Stochastic Gradient Langevin Dynamics00.342022
Efficient hybrid explicit-implicit learning for multiscale problems00.342022
Multi-variance replica exchange SGMCMC for inverse and forward problems via Bayesian PINN00.342022
HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations00.342022
A consistent and conservative model and its scheme for N-phase-M-component incompressible flows00.342021
An adaptive Hessian approximated stochastic gradient MCMC method00.342021
SubTSBR to tackle high noise and outliers for data-driven discovery of differential equations00.342021
An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City00.342021
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction00.342021
Feasibility of DEIM for retrieving the initial field via dimensionality reduction00.342021
Bayesian sparse learning with preconditioned stochastic gradient MCMC and its applications00.342021
A Comparative Study of Marginalized Graph Kernel and Message-Passing Neural Network00.342021
Flow-driven spectral chaos (FSC) method for long-time integration of second-order stochastic dynamical systems00.342021
Flow-driven spectral chaos (FSC) method for simulating long-time dynamics of arbitrary-order non-linear stochastic dynamical systems00.342021
Gaussian Process Assisted Active Learning Of Physical Laws00.342021
Binary classification of floor vibrations for human activity detection based on dynamic mode decomposition00.342021
Real-time computational optimal control of an MHD flow system with parameter uncertainty quantification00.342020
Robust weighted SVD-type latent factor models for rating prediction.10.362020
A Contour Stochastic Gradient Langevin Dynamics Algorithm For Simulations Of Multi-Modal Distributions00.342020
A Low-Rank Approximated Multiscale Method For Pdes With Random Coefficients00.342020
Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media.20.372020
A Homotopy Method with Adaptive Basis Selection for Computing Multiple Solutions of Differential Equations.00.342020
Error estimates of a spectral Petrov-Galerkin method for two-sided fractional reaction-diffusion equations.00.342020
Consistent and conservative scheme for incompressible two-phase flows using the conservative Allen-Cahn model00.342020
Consistent, essentially conservative and balanced-force Phase-Field method to model incompressible two-phase flows.00.342020
Optimal observations-based retrieval of topography in 2D shallow water equations using PC-EnKF.00.342019
ConvPDE-UQ: Convolutional neural networks with quantified uncertainty for heterogeneous elliptic partial differential equations on varied domains20.372019
Finite Element Method for Two-Sided Fractional Differential Equations with Variable Coefficients: Galerkin Approach.00.342019
Rotation-equivariant convolutional neural network ensembles in image processing00.342019
An Adaptive Empirical Bayesian Method for Sparse Deep Learning00.342019
Infrared Thermal Imaging-Based Crack Detection Using Deep Learning10.362019
Stochastic Security Assessment for Power Systems With High Renewable Energy Penetration Considering Frequency Regulation.00.342019
A mixed upwind/central WENO scheme for incompressible two-phase flows.10.352019
Two-Level Spectral Methods for Nonlinear Elliptic Equations with Multiple Solutions10.362018
Using automatic differentiation for compressive sensing in uncertainty quantification.00.342018
Local Feature Sufficiency Exploration For Predicting Security-Constrained Generation Dispatch In Multi-Area Power Systems00.342018
Parallel and Interacting Stochastic Approximation Annealing algorithms for global optimisation00.342017
Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots.140.562017
Visualization of Time-Varying Weather Ensembles across Multiple Resolutions.110.502017
A high-order difference scheme for the fractional sub-diffusion equation.20.372017
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