Guang Lin

发表

Gaussian process surrogates for failure detection: A Bayesian experimental design approach

Jinglai Li, Hongqiao Wang, Guang Lin, 2015, J. Comput. Phys..

An expectation-maximization method for calibrating synchronous machine models

Shuai Lu, Ning Zhou, Guang Lin, 2013, 2013 IEEE Power & Energy Society General Meeting.

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

Guang Lin, Lin Mu, Xiu Ye, 2014, J. Comput. Phys..

A two-level stochastic collocation method for semilinear elliptic equations with random coefficients

Bin Zheng, Guang Lin, Luoping Chen, 2014, J. Comput. Appl. Math..

Classification of Spatiotemporal Data via Asynchronous Sparse Sampling: Application to Flow around a Cylinder

Guang Lin, J. Nathan Kutz, Ido Bright, 2015, Multiscale Model. Simul..

Compressive Sensing Based Stochastic Economic Dispatch With High Penetration Renewables

Jing Li, Wei Wei, Guang Lin, 2019, IEEE Transactions on Power Systems.

Optimal observations-based retrieval of topography in 2D shallow water equations using PC-EnKF

Kun Hu, Guang Lin, Yuepeng Wang, 2019, J. Comput. Phys..

Numerical solution of the Stratonovich- and Ito-Euler equations: Application to the stochastic piston problem

Xiu Yang, Guang Lin, Zhongqiang Zhang, 2013, J. Comput. Phys..

Selection of polynomial chaos bases via Bayesian model uncertainty methods with applications to sparse approximation of PDEs with stochastic inputs

Georgios Karagiannis, Guang Lin, G. Karagiannis, 2014, J. Comput. Phys..

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.

Point-wise hierarchical reconstruction for discontinuous Galerkin and finite volume methods for solving conservation laws

Zhiliang Xu, Guang Lin, Chi-Wang Shu, 2011, J. Comput. Phys..

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 .

Evaluating the impact of aquifer layer properties on geomechanical response during CO2 geological sequestration

Guang Lin, Zhijie Xu, Jie Bao, 2013, Comput. Geosci..

Peri-Net: Analysis of Crack Patterns Using Deep Neural Networks

Guang Lin, Wontae Jeong, Moonseop Kim, 2019, Journal of Peridynamics and Nonlocal Modeling.

A new IITNAM representation method of gray images

Yunping Zheng, Mudar Sarem, Guang Lin, 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Inverse regression-based uncertainty quantification algorithms for high-dimensional models: Theory and practice

Bing Li, Guang Lin, Weixuan Li, 2016, J. Comput. Phys..

Final Technical Report - Stochastic Nonlinear Data-Reduction Methods with Detection and Prediction of Critical Rare Event

George Em Karniadakis, Guang Lin, Eric Vanden-Eijnden, 2013 .

An adaptive importance sampling algorithm for Bayesian inversion with multimodal distributions

Guang Lin, Weixuan Li, Weixuan Li, 2015, J. Comput. Phys..

Local Feature Sufficiency Exploration for Predicting Security-Constrained Generation Dispatch in Multi-area Power Systems

Renke Huang, Xiaoyuan Fan, Guang Lin, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Predicting Locations of Pollution Sources using Convolutional Neural Networks

Guang Lin, Yiheng Chi, Nickolas D. Winovich, 2017 .

Probabilistic State Estimation Approach for AC/MTDC Distribution System Using Deep Belief Network With Non-Gaussian Uncertainties

Qingshan Xu, Yu Huang, Cheng Hu, 2019, IEEE Sensors Journal.

Outlier Detection and Correction for Monitoring Data of Water Quality Based on Improved VMD and LSSVM

Peng Jiang, Hui Wu, Guang Lin, 2019, Complex..

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

Guang Lin, Lingzao Zeng, Jiangjiang Zhang, 2017 .

Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media

Guang Lin, Yating Wang, Guang Lin, 2019, J. Comput. Phys..

Latent Transformations for Object View Points Synthesis

Karthik Ramani, Guang Lin, Nick Winovich, 2018, 1807.04812.

Parallel and interacting stochastic approximation annealing algorithms for global optimisation

Faming Liang, Guang Lin, Georgios Karagiannis, 2015, Stat. Comput..

A Surrogate-based Adaptive Sampling Approach for History Matching and Uncertainty Quantification

Guang Lin, Dongxiao Zhang, Weixuan Li, 2015, ANSS 2015.

Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems

Qingshan Xu, Guang Lin, Yu Huang, 2018 .

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

Xiaotong Liu, Guang Lin, Junpeng Wang, 2017, IEEE Transactions on Visualization and Computer Graphics.

Predicting shock dynamics in the presence of uncertainties

Guang Lin, George E. Karniadakis, Chau-Hsing Su, 2006, J. Comput. Phys..

Rare-Event Simulation for the Stochastic Korteweg-de Vries Equation

Guang Lin, Gongjun Xu, Jingchen Liu, 2014, SIAM/ASA J. Uncertain. Quantification.

A fictitious domain method with a hybrid cell model for simulating motion of cells in fluid flow

Zhiliang Xu, Wenrui Hao, Guang Lin, 2015, J. Comput. Phys..

Finite Element Method for Two-Sided Fractional Differential Equations with Variable Coefficients: Galerkin Approach

Guang Lin, Zhiqiang Cai, Moongyu Park, 2018, J. Sci. Comput..

Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions

Guang Lin, Georgios Karagiannis, Bledar A. Konomi, 2015, J. Comput. Phys..

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

Karthik Ramani, Guang Lin, Nick Winovich, 2019, J. Comput. Phys..

Comparative study of clustering techniques for real‐time dynamic model reduction pdf

Shaobu Wang, Guang Lin, Mahantesh Halappanavar, 2015, Stat. Anal. Data Min..

A Homotopy Method with Adaptive Basis Selection for Computing Multiple Solutions of Differential Equations

Wenrui Hao, Guang Lin, Jan S. Hesthaven, 2020, J. Sci. Comput..

A mixed upwind/central WENO scheme for incompressible two-phase flows

Guang Lin, Ziyang Huang, Arezoo M. Ardekani, 2019, J. Comput. Phys..

A high-order difference scheme for the fractional sub-diffusion equation

Zhi-Zhong Sun, Guang Lin, Zhao-peng Hao, 2017, Int. J. Comput. Math..

Using automatic differentiation for compressive sensing in uncertainty quantification

Guang Lin, Alex Pothen, Mu Wang, 2018, Optim. Methods Softw..

Exploring Cloud Computing for Large-Scale Scientific Applications

Ian Gorton, Jian Yin, Guang Lin, 2013, 2013 IEEE Ninth World Congress on Services.

The stabilization of BAM neural networks with time-varying delays in the leakage terms via sampled-data control

Yongqing Yang, Guang Lin, Li Li, 2015, Neural Computing and Applications.

Machine Learning Based Molecular Properties Discovery for Quantum-chemical Simulations

Guang Lin, Jijie Zhou, Nickolas D Winovich, 2017 .

Uncertainty Quantification in Dynamic Simulations of Large-scale Power System Models using the High-Order Probabilistic Collocation Method on Sparse Grids

Guang Lin, Shuai Lu, Marcelo A. Elizondo, 2014 .

Robust data-driven discovery of governing physical laws using a new subsampling-based sparse Bayesian method to tackle four challenges (large noise, outliers, data integration, and extrapolation)

Guang Lin, Sheng Zhang, Sheng Zhang, 2019 .

Adaptive ANOVA decomposition of stochastic incompressible and compressible flows

Xiu Yang, Guang Lin, Minseok Choi, 2012, J. Comput. Phys..

Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from data pdf

Guang Lin, Sheng Zhang, Sheng Zhang, 2019, ArXiv.

POD-Based Constrained Sensor Placement and Field Reconstruction from Noisy Wind Measurements: A Perturbation Study

Xiu Yang, Guang Lin, Zhongqiang Zhang, 2016 .

MATLAB codes of DREAM_(ZKS)

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

Arthroscopic Capsulolabral Repair Using Absorbable Suture-Anchor for the Traumatic Anterior Instability of Shoulder

Guang Lin, Seung-Ki Kim, In-Soo Song, 2004 .

Enhancing sparsity of Hermite polynomial expansions by iterative rotations

Nathan A. Baker, Guang Lin, Huan Lei, 2015, J. Comput. Phys..

Additional Thermal Shrinkage in Treatment of Recurrent Traumatic Anterior Shoulder Instability

Guang Lin, Seung-Ki Kim, In-Soo Song, 2004 .

Author response: A kinase-dependent feedforward loop affects CREBB stability and long term memory formation

Guang Lin, Fengqiu Diao, Benjamin H. White, 2018 .

Bayesian Treed Multivariate Gaussian Process With Adaptive Design: Application to a Carbon Capture Unit

Xin Sun, Guang Lin, Georgios Karagiannis, 2014, Technometrics.

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

Ilias Bilionis, Guang Lin, Bledar A. Konomi, 2013, J. Comput. Phys..

Infrared Thermal Imaging-Based Crack Detection Using Deep Learning

Guang Lin, Wei Wang, Qing Li, 2019, IEEE Access.

On the Bayesian calibration of expensive computer models with input dependent parameters

Guang Lin, Georgios Karagiannis, Bledar A. Konomi, 2017 .

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 .

Integrate Big Data for Better Operation, Control, and Protection of Power Systems

Guang Lin, 2016, Handbook of Big Data.

MeDiCi-Cloud: A Workflow Infrastructure for Large-scale Scientific Applications

Ian Gorton, Jian Yin, Guang Lin, 2011, 2011 Fourth IEEE International Conference on Utility and Cloud Computing.

LOW-COST MULTI-DIMENSIONAL GAUSSIAN PROCESS WITH APPLICATION TO UNCERTAINTY QUANTIFICATION

Guang Lin, Bledar A. Konomi, G. Lin, 2015 .

A frozen Gaussian approximation-based multi-level particle swarm optimization for seismic inversion

Xu Yang, Jinglai Li, Guang Lin, 2015, J. Comput. Phys..

Decentralized Dynamic Power Management with Local Information

Guang Lin, Jing Li, Yu Huang, 2019 .

Error analysis of finite element method for Poisson-Nernst-Planck equations

Bin Zheng, Guang Lin, Pengtao Sun, 2016, J. Comput. Appl. Math..

Stochastic Security Assessment for Power Systems With High Renewable Energy Penetration Considering Frequency Regulation

Yu Huang, Sajjad Abedi, Guang Lin, 2019, IEEE Access.

A Bayesian mixed shrinkage prior procedure for spatial-stochastic basis selection and evaluation of gPC expansions: Applications to elliptic SPDEs

Georgios Karagiannis, Guang Lin, Bledar A. Konomi, 2015, J. Comput. Phys..

Numerical studies of the stochastic Korteweg-de Vries equation

Guang Lin, George E. Karniadakis, Leopold Grinberg, 2006, J. Comput. Phys..

Model Selection Using Gaussian Mixture Models and Parallel Computing

Guang Lin, Georgios Karagiannis, Yiyi Chen, 2017 .

Improved CamShift tracking algorithm based on motion detection

Guang Lin, Jian-Wei Zhang, Yong-Hui Li, 2013, 2013 International Conference on Machine Learning and Cybernetics.

Bayesian Deep Learning via Stochastic Gradient MCMC with a Stochastic Approximation Adaptation

Faming Liang, Xiao Zhang, Guang Lin, 2018 .

Calibrations and validations of biological models with an application on the renal fibrosis

Wenrui Hao, Guang Lin, Georgios Karagiannis, 2020, International journal for numerical methods in biomedical engineering.

An adaptive ANOVA-based PCKF for high-dimensional nonlinear inverse modeling

Guang Lin, Dongxiao Zhang, Weixuan Li, 2014, J. Comput. Phys..

A comparative study on the weak Galerkin, discontinuous Galerkin, and mixed finite element methods

Guang Lin, Jiangguo Liu, Farrah Sadre-Marandi, 2015, J. Comput. Appl. Math..

Two-Level Spectral Methods for Nonlinear Elliptic Equations with Multiple Solutions

Yingwei Wang, Wenrui Hao, Guang Lin, 2018, SIAM J. Sci. Comput..

Stochastic Computational Fluid Mechanics

Guang Lin, George E. Karniadakis, Xiaoliang Wan, 2007, Computing in Science & Engineering.

On Application of the Weak Galerkin Finite Element Method to a Two-Phase Model for Subsurface Flow

Guang Lin, Jiangguo Liu, Victor Ginting, 2016, J. Sci. Comput..

Reinforcement Learning for Traffic Control with Adaptive Horizon pdf

Guang Lin, Wentao Chen, Tehuan Chen, 2019, ArXiv.

Visualization of Time-Varying Weather Ensembles across Multiple Resolutions

Xiaotong Liu, Guang Lin, Han-Wei Shen, 2017, IEEE Transactions on Visualization and Computer Graphics.

A second-order difference scheme for the time fractional substantial diffusion equation

Guang Lin, Wanrong Cao, Zhaopeng Hao, 2016, J. Comput. Appl. Math..

Deep Machine Learning for Mechanical Performance and Failure Prediction

Guang Lin, Nickolas D. Winovich, Elijah Reber, 2018 .

Constructing Surrogate Models of Complex Systems with Enhanced Sparsity: Quantifying the Influence of Conformational Uncertainty in Biomolecular Solvation

Bin Zheng, Xiu Yang, Nathan A. Baker, 2014, Multiscale Model. Simul..

A new bi‐fidelity model reduction method for Bayesian inverse problems

Guang Lin, Lijian Jiang, Na Ou, 2019, International Journal for Numerical Methods in Engineering.

Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs

Guang Lin, Qifeng Liao, Qifeng Liao, 2016, J. Comput. Phys..

On the Bayesian calibration of computer model mixtures through experimental data, and the design of predictive models

Guang Lin, Georgios Karagiannis, G. Karagiannis, 2017, J. Comput. Phys..

Rotation-equivariant convolutional neural network ensembles in image processing

Guang Lin, Liyao Gao, Hongshan Li, 2019, UbiComp/ISWC Adjunct.

CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification pdf

Karthik Ramani, Guang Lin, Sangpil Kim, 2018, ArXiv.

Hybrid parallel computing of minimum action method

Guang Lin, Xiaoliang Wan, G. Lin, 2013, Parallel Comput..

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

Guang Lin, Sheng Zhang, Sheng Zhang, 2018, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

HEI: hybrid explicit-implicit learning for multiscale problems pdf

Yalchin Efendiev, Wing Tat Leung, Guang Lin, 2021, ArXiv.

Implementing contact angle boundary conditions for second-order Phase-Field models of wall-bounded multiphase flows pdf

Guang Lin, Arezoo M. Ardekani, Ziyang Huang, 2021, ArXiv.

Multi-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network pdf

Guang Lin, Yating Wang, Zecheng Zhang, 2021, ArXiv.

Theoretical and numerical studies of inverse source problem for the linear parabolic equation with sparse boundary measurements pdf

Guang Lin, Zecheng Zhang, Zhidong Zhang, 2021, ArXiv.

Flow-driven spectral chaos (FSC) method for long-time integration of second-order stochastic dynamical systems

Guang Lin, Hugo Esquivel, Arun Prakash, 2021, J. Comput. Appl. Math..

A consistent and conservative Phase-Field model for thermo-gas-liquid-solid flows including liquid-solid phase change

Guang Lin, Arezoo M. Ardekani, Ziyang Huang, 2021, J. Comput. Phys..

Random roughness enhances lift in supersonic flow.

George Em Karniadakis, Guang Lin, Chau-Hsing Su, 2007, Physical review letters.

Modeling Random Roughness in Supersonic Flow Past a Wedge

George Em Karniadakis, Guang Lin, G. Karniadakis, 2006 .

Stochastic modeling of random roughness in shock scattering problems: Theory and simulations

George Em Karniadakis, Guang Lin, G. Karniadakis, 2008 .

Stochastic effects in plasticity in small volumes

Guang Lin, Shuai Shao, Hussein M. Zbib, 2014 .

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

Guang Lin, L. Ruby Leung, Daniel M. Ricciuto, 2012 .

Uncertainty analyses of CO2 plume expansion subsequent to wellbore CO2 leakage into aquifers

Guang Lin, David W. Engel, Huiying Ren, 2014 .

Finite difference schemes for multi-term time-fractional mixed diffusion-wave equations

Guang Lin, Zhao-peng Hao, Zhao-peng Hao, 2016, 1607.07104.

LipidMiner: a software for automated identification and quantification of lipids from multiple liquid chromatography/mass spectrometry data files.

Qibin Zhang, Guang Lin, Si Wu, 2014, Rapid communications in mass spectrometry : RCM.

A lattice Boltzmann fictitious domain method for modeling red blood cell deformation and multiple‐cell hydrodynamic interactions in flow

Guang Lin, Dmitry A. Fedosov, D. Fedosov, 2013 .

Effects of heat and mass transfer on the kinetics of CO oxidation over RuO2(110) catalyst

Guang Lin, Donghai Mei, Donghai Mei, 2011 .

Uncertainty quantification of thermal conductivities from equilibrium molecular dynamics simulations

Guang Lin, Zuyuan Wang, Salar Safarkhani, 2016, 1612.05107.

High-Order Modeling of Micro-Pulsed Plasma Thrusters

George Em Karniadakis, Guang Lin, 2002 .

An Hp-Adaptive Minimum Action Method Based on a Posteriori Error Estimate

Guang Lin, Xiaoliang Wan, G. Lin, 2018 .

ANALYSIS OF VARIANCE-BASED MIXED MULTISCALE FINITE ELEMENT METHOD AND APPLICATIONS IN STOCHASTIC TWO-PHASE FLOWS

Yalchin Efendiev, Guang Lin, Lijian Jiang, 2014 .

An adaptive ANOVA-based data-driven stochastic method for elliptic PDEs with random coefficient

Guang Lin, Thomas Y. Hou, Zhiwen Zhang, 2014 .

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, A. Tartakovsky, 2009 .

A consistent and conservative volume distribution algorithm and its applications to multiphase flows using Phase-Field models

Guang Lin, Arezoo M. Ardekani, Ziyang Huang, 2020 .

Stochastic Simulations and Sensitivity Analysis of Plasma Flow

George Em Karniadakis, Guang Lin, 2008 .

Stochastic Solvers for the Euler Equations

George Em Karniadakis, Guang Lin, G. Karniadakis, 2005 .

Sensitivity analysis and stochastic simulations of non‐equilibrium plasma flow

George Em Karniadakis, Guang Lin, G. Karniadakis, 2009 .

A consistent and conservative Phase-Field method for multiphase incompressible flows

Guang Lin, Arezoo M. Ardekani, Ziyang Huang, 2020 .

A consistent hierarchy of generalized kinetic equation approximations to the master equation applied to surface catalysis.

Guang Lin, Sorin Mitran, Gregory J. Herschlag, 2015, The Journal of chemical physics.