guang lin

Citirano

	Sve	Od 2018.
Citati	4281	2840
H-indeks	35	26
i10-indeks	107	87

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Suautori

George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and EngineeringPotvrđena adresa e-pošte na brown.edu
Bledar Alexandros KonomiAssociate Professor, Department of Mathematical Sciences, University of CincinnatiPotvrđena adresa e-pošte na uc.edu
Zhangshuan (Jason) HouPacific Northwest National LaboratoryPotvrđena adresa e-pošte na pnnl.gov
Ben YangSchool of Atmospheric Sciences, Nanjing UniversityPotvrđena adresa e-pošte na nju.edu.cn
Faming LiangProfessor of Statistics, Purdue UniversityPotvrđena adresa e-pošte na purdue.edu
Alexandre TartakovskyUniversity of Illinois Urbana-Champaign and Pacific Northwest National LaboratoryPotvrđena adresa e-pošte na pnnl.gov
Yun QianPNNLPotvrđena adresa e-pošte na pnnl.gov
Weixuan LiMicrosoftPotvrđena adresa e-pošte na microsoft.com
Bin ZhengScientist, Pacific Northwest National LaboratoryPotvrđena adresa e-pošte na pnnl.gov
Shuai LuFounder and CEO, EnerModPotvrđena adresa e-pošte na enermod.com
Ning ZhouAssociate Professor, SUNY Binghamton UniversityPotvrđena adresa e-pošte na binghamton.edu
Jie BaoResearch Engineer, Experimental and Computational Engineering Group, Pacific Northwest NationalPotvrđena adresa e-pošte na pnnl.gov
Shaobu WangPacific Northwest National LabPotvrđena adresa e-pošte na pnnl.gov
Chun ZhaoUniversity of Science and Technology of ChinaPotvrđena adresa e-pošte na ustc.edu.cn
Hailong WangPacific Northwest National LaboratoryPotvrđena adresa e-pošte na pnnl.gov
Xiaoliang WanLouisiana State UniversityPotvrđena adresa e-pošte na math.lsu.edu
Xiaohong LiuReta Haynes Chair in Geosciences, Professor of Atmospheric Sciences, Texas A&M UniversityPotvrđena adresa e-pošte na tamu.edu
Ido BrightUniversity of WashingtonPotvrđena adresa e-pošte na uw.edu
J. Nathan KutzProfessor of Applied Mathematics & Electrical and Computer EngineeringPotvrđena adresa e-pošte na uw.edu
Minghuai WangSchool of Atmospheric Sciences, Nanjing UniversityPotvrđena adresa e-pošte na nju.edu.cn

Prati

guang lin

Professor of Mathematics, Purdue University

Potvrđena adresa e-pošte na purdue.edu - Početna stranica

Machine Learning Uncertainty Quantification Big Data Analysis Scientific Computing


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification I Bilionis, N Zabaras, BA Konomi, G Lin Journal of Computational Physics 241, 212-239, 2013	176	2013
Adaptive ANOVA decomposition of stochastic incompressible and compressible flows X Yang, M Choi, G Lin, GE Karniadakis Journal of Computational Physics 231 (4), 1587-1614, 2012	150	2012
Compressive sensing based machine learning strategy for characterizing the flow around a cylinder with limited pressure measurements I Bright, G Lin, JN Kutz Physics of Fluids 25 (12), 127102, 2013	137	2013
An efficient, high-order probabilistic collocation method on sparse grids for three-dimensional flow and solute transport in randomly heterogeneous porous media G Lin, AM Tartakovsky Advances in Water Resources 32 (5), 712-722, 2009	131	2009
Some issues in uncertainty quantification and parameter tuning: A case study of convective parameterization scheme in the WRF regional climate model B Yang, Y Qian, G Lin, R Leung, Y Zhang Atmospheric Chemistry and Physics 12 (5), 2409-2427, 2012	120	2012
Robust data-driven discovery of governing physical laws with error bars S Zhang, G Lin Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2018	115	2018
Sensitivity of surface flux simulations to hydrologic parameters based on an uncertainty quantification framework applied to the Community Land Model Z Hou, M Huang, LR Leung, G Lin, DM Ricciuto Journal of Geophysical Research: Atmospheres 117 (D15), 2012	112	2012
Uncertainty quantification and parameter tuning in the CAM5 Zhang‐McFarlane convection scheme and impact of improved convection on the global circulation and climate B Yang, Y Qian, G Lin, LR Leung, PJ Rasch, GJ Zhang, SA McFarlane, ... Journal of Geophysical Research: Atmospheres 118 (2), 395-415, 2013	108	2013
Multi-resolution climate ensemble parameter analysis with nested parallel coordinates plots J Wang, X Liu, HW Shen, G Lin IEEE transactions on visualization and computer graphics 23 (1), 81-90, 2016	91	2016
Predicting shock dynamics in the presence of uncertainties G Lin, CH Su, GE Karniadakis Journal of Computational Physics 217 (1), 260-276, 2006	81	2006
Generating random earthquake events for probabilistic tsunami hazard assessment RJ LeVeque, K Waagan, FI González, D Rim, G Lin Global Tsunami Science: Past and Future, Volume I, 3671-3692, 2017	74	2017
Weak Galerkin finite element methods for Darcy flow: Anisotropy and heterogeneity G Lin, J Liu, L Mu, X Ye Journal of computational physics 276, 422-437, 2014	67	2014
Uncertainty quantification via random domain decomposition and probabilistic collocation on sparse grids G Lin, AM Tartakovsky, DM Tartakovsky Journal of Computational Physics 229 (19), 6995-7012, 2010	67	2010
ConvPDE-UQ: Convolutional neural networks with quantified uncertainty for heterogeneous elliptic partial differential equations on varied domains N Winovich, K Ramani, G Lin Journal of Computational Physics 394, 263-279, 2019	65	2019
Dynamic-feature extraction, attribution, and reconstruction (DEAR) method for power system model reduction S Wang, S Lu, N Zhou, G Lin, M Elizondo, MA Pai IEEE transactions on power systems 29 (5), 2049-2059, 2014	65	2014
A Comparative Study of YH Tang, G Lin, H Sun	62	2021
A sensitivity study of radiative fluxes at the top of atmosphere to cloud-microphysics and aerosol parameters in the community atmosphere model CAM5 C Zhao, X Liu, Y Qian, J Yoon, Z Hou, G Lin, S McFarlane, H Wang, ... Atmospheric Chemistry and Physics 13 (21), 10969-10987, 2013	62	2013
A sensitivity study of radiative fluxes at the top of atmosphere to cloud-microphysics and aerosol parameters in the community atmosphere model CAM5 C Zhao, X Liu, Y Qian, J Yoon, Z Hou, G Lin, S McFarlane, H Wang, ... Atmospheric Chemistry and Physics 13 (21), 10969-10987, 2013	62	2013
Enhancing sparsity of Hermite polynomial expansions by iterative rotations X Yang, H Lei, NA Baker, G Lin Journal of Computational Physics 307, 94-109, 2016	53	2016
Inverse regression-based uncertainty quantification algorithms for high-dimensional models: Theory and practice W Li, G Lin, B Li Journal of Computational Physics 321, 259-278, 2016	51	2016

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