Guang Lin

发表

Generating Random Earthquake Events for Probabilistic Tsunami Hazard Assessment

Scott A. Moe, R. LeVeque, D. Rim, 2016, Pure and Applied Geophysics.

On the Bayesian treed multivariate Gaussian process with linear model of coregionalization

Georgios Karagiannis, Bledar A. Konomi, Guang Lin, 2015 .

Deposited in DRO : 12 September 2017 Version of attached le : Accepted Version Peer-review status of attached

G. Karagiannis, Guang Lin, B. Konomi, 2017 .

Bayesian inverse regression for supervised dimension reduction with small datasets

Jinglai Li, Guang Lin, Xin Cai, 2019, Journal of Statistical Computation and Simulation.

Calibration of reduced-order model for a coupled Burgers equations based on PC-EnKF

Yuepeng Wang, Yue Cheng, Guang Lin, 2018 .

On the Anticipative Nonlinear Filtering Problem and Its Stability

S. Tindel, Guang Lin, Yanghui Liu, 2019, 1902.08168.

Augmented Gaussian random field: Theory and computation

S. Zhang, S. Tindel, Guang Lin, 2020, Discrete & Continuous Dynamical Systems - S.

A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions

F. Liang, Guang Lin, Wei Deng, 2020, NeurIPS.

Trimmed Ensemble Kalman Filter for Nonlinear and Non-Gaussian Data Assimilation Problems

Weixuan Li, W. S. Rosenthal, Guang Lin, 2018, 1808.05465.

Nonlinear Analysis of Perturbed Rotating Whirlpools in the Ocean and Atmosphere

Guang Lin, R. Ibragimov, 2017 .

RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors pdf

Guang Lin, Liyao Gao, Yifan Du, 2020, J. Comput. Phys..

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

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

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

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

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

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

An adaptive importance sampling algorithm for Bayesian inversion with multimodal distributions

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

Sparsity-promoting elastic net method with rotations for high-dimensional nonlinear inverse problem

Chao Xu, Zongyuan Zhang, Yuepeng Wang, 2019, Computer Methods in Applied Mechanics and Engineering.

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..

Simulated Stochastic Approximation Annealing for Global Optimization With a Square-Root Cooling Schedule

Faming Liang, Yichen Cheng, Guang Lin, 2014 .

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

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

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

Yongqing Yang, Li Li, Guang Lin, 2016, Neural Computing and Applications.

Data-Driven Automated Discovery of Variational Laws Hidden in Physical Systems

Yong Wang, Zhilong Huang, Guang Lin, 2020, Journal of the Mechanics and Physics of Solids.

Feasibility of DEIM for retrieving the initial field via dimensionality reduction

Yuepeng Wang, Xuemei Ding, Guang Lin, 2020, J. Comput. Phys..

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 .

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.

An Adaptive Empirical Bayesian Method for Sparse Deep Learning

Wei Deng, Faming Liang, Guang Lin, 2019, NeurIPS.

Gaussian Process Assisted Active Learning of Physical Laws

Lulu Kang, Guang Lin, Jiuhai Chen, 2019, Technometrics.

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

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

Regularity analysis of metamaterial Maxwell’s equations with random coefficients and initial conditions

Guang Lin, Zhiwei Fang, Jichun Li, 2018, Computer Methods in Applied Mechanics and Engineering.

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..

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.

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

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

An adaptive Hessian approximated stochastic gradient MCMC method pdf

Guang Lin, Wei Deng, Yating Wang, 2020, J. Comput. Phys..

Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications

Guang Lin, Yating Wang, Wei Deng, 2020, J. Comput. Phys..

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

Xiu Yang, Guang Lin, Zhongqiang Zhang, 2016 .

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

Kun Hu, Guang Lin, Yuepeng Wang, 2019, 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..

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

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

Parallel and interacting stochastic approximation annealing algorithms for global optimisation

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

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

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

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

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

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

Tian Zhou, Guang Lin, Wei Deng, 2020, WSDM.

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

Guang Lin, Liangsheng Shi, Xiaolong Hu, 2021 .

SubTSBR to tackle high noise and outliers for data-driven discovery of differential equations

Guang Lin, Sheng Zhang, S. Zhang, 2019, J. Comput. Phys..

Robust data-driven discovery of partial differential equations with time-dependent coefficients pdf

Guang Lin, Aoxue Chen, Guang Lin, 2021, ArXiv.

Estimating dynamics of central hardwood forests using random forests

Wu Ma, Jingjing Liang, Guang Lin, 2020 .

Visualization of Time-Varying Weather Ensembles across Multiple Resolutions

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

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..

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

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

Enhancing sparsity of Hermite polynomial expansions by iterative rotations

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

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..

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.

The data-driven solution of energy imbalance-induced structural error in evapotranspiration models

Guang Lin, Liangsheng Shi, Xiaolong Hu, 2021, Journal of Hydrology.

Multi-Fidelity Gaussian Process based Empirical Potential Development for Si: H Nanowires pdf

Huayi Yin, Guang Lin, Moonseop Kim, 2020, ArXiv.

A Sparse Deep Factorization Machine for Efficient CTR prediction.

Tian Zhou, Guang Lin, Wei Deng, 2020, 2002.06987.

A lattice Boltzmann–cellular automaton study on dendrite growth with melt convection in solidification of ternary alloys

Z. Chai, Dongke Sun, Qian Li, 2018, Chinese Physics B.

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

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

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

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

MFPC-Net: Multi-fidelity Physics-Constrained Neural Process pdf

Guang Lin, Yating Wang, Guang Lin, 2020, CSIAM Transactions on Applied Mathematics.

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.

Bayesian Treed Calibration: An Application to Carbon Capture With AX Sorbent

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

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

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

Robust weighted SVD-type latent factor models for rating prediction

Yiqi Gu, Xi Yang, Mengjiao Peng, 2020, Expert Syst. Appl..

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).

Using automatic differentiation for compressive sensing in uncertainty quantification

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

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

M. Halappanavar, Zhenyu Huang, Shaobu Wang, 2015, Stat. Anal. Data Min..

Peri-Net-Pro: the neural processes with quantified uncertainty for crack patterns pdf

Guang Lin, Moonseop Kim, Guang Lin, 2020, Applied Mathematics and Mechanics.

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

Chun Liu, Zhiliang Xu, Guang Lin, 2015, J. Comput. Phys..