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2020 – today
- 2022
[j76]Georgios Karagiannis
, Zhangshuan Hou, Maoyi Huang, Guang Lin:
Inverse Modeling of Hydrologic Parameters in CLM4 via Generalized Polynomial Chaos in the Bayesian Framework. Comput. 10(5): 72 (2022)- [j75]Suman Chakraborty, Yixuan Sun, Guang Lin, Li Qiao:
Vapor-liquid equilibrium estimation of n-alkane/nitrogen mixtures using neural networks. J. Comput. Appl. Math. 408: 114059 (2022) - [j74]Ziyang Huang, Guang Lin, Arezoo M. Ardekani:
A consistent and conservative Phase-Field method for multiphase incompressible flows. J. Comput. Appl. Math. 408: 114116 (2022) - [j73]Dongwu Wang, Bin Zheng, Long Chen, Guang Lin, Jinchao Xu:
Block triangular preconditioning for stochastic Galerkin method. J. Comput. Appl. Math. 412: 114298 (2022) - [j72]Ziyang Huang, Guang Lin, Arezoo M. Ardekani:
A consistent and conservative Phase-Field model for thermo-gas-liquid-solid flows including liquid-solid phase change. J. Comput. Phys. 449: 110795 (2022) - [j71]Guang Lin, Yating Wang, Zecheng Zhang:
Multi-variance replica exchange SGMCMC for inverse and forward problems via Bayesian PINN. J. Comput. Phys. 460: 111173 (2022) - [j70]Liyao Gao, Yifan Du, Hongshan Li, Guang Lin:
RotEqNet: Rotation-equivariant network for fluid systems with symmetric high-order tensors. J. Comput. Phys. 461: 111205 (2022) - [j69]Wei Deng, Guang Lin, Faming Liang:
An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization. Stat. Comput. 32(4): 58 (2022) - [c17]Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin:
Glassoformer: A Query-Sparse Transformer for Post-Fault Power Grid Voltage Prediction. ICASSP 2022: 3968-3972 - [i46]Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin:
glassoformer: a query-sparse transformer for post-fault power grid voltage prediction. CoRR abs/2201.09145 (2022) - [i45]Christian Moya, Shiqi Zhang, Meng Yue, Guang Lin:
DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories. CoRR abs/2202.07176 (2022) - [i44]Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang:
Interacting Contour Stochastic Gradient Langevin Dynamics. CoRR abs/2202.09867 (2022) - [i43]Chi-Hua Wang, Wenjie Li, Guang Cheng, Guang Lin:
Federated Online Sparse Decision Making. CoRR abs/2202.13448 (2022) - [i42]Jiahao Zhang, Shiqi Zhang, Guang Lin:
PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations. CoRR abs/2204.02583 (2022) - [i41]Jiahao Zhang, Shiqi Zhang, Guang Lin:
MultiAuto-DeepONet: A Multi-resolution Autoencoder DeepONet for Nonlinear Dimension Reduction, Uncertainty Quantification and Operator Learning of Forward and Inverse Stochastic Problems. CoRR abs/2204.03193 (2022) - [i40]Jiahao Zhang, Shiqi Zhang, Guang Lin:
RMFGP: Rotated Multi-fidelity Gaussian process with Dimension Reduction for High-dimensional Uncertainty Quantification. CoRR abs/2204.04819 (2022) - [i39]Sheng Zhang, Guang Lin, Samy Tindel:
2-d signature of images and texture classification. CoRR abs/2205.11236 (2022) - [i38]Wenjie Li, Qifan Song, Jean Honorio, Guang Lin:
Federated X-Armed Bandit. CoRR abs/2205.15268 (2022) - [i37]Hugo Esquivel, Arun Prakash, Guang Lin:
Multi-element flow-driven spectral chaos (ME-FSC) method for uncertainty quantification of dynamical systems. CoRR abs/2207.10281 (2022) - [i36]Yating Wang, Wing Tat Leung, Guang Lin:
AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems. CoRR abs/2207.11735 (2022) - 2021
- [j68]Shichao Zhou, Guang Lin, Qinfang Qian, Chao Xu:
Binary classification of floor vibrations for human activity detection based on dynamic mode decomposition. Neurocomputing 432: 227-239 (2021) - [j67]Jun Man, Guang Lin, Yijun Yao, Lingzao Zeng:
A generalized multi-fidelity simulation method using sparse polynomial chaos expansion. J. Comput. Appl. Math. 397: 113613 (2021) - [j66]Hugo Esquivel, Arun Prakash, Guang Lin:
Flow-driven spectral chaos (FSC) method for long-time integration of second-order stochastic dynamical systems. J. Comput. Appl. Math. 398: 113674 (2021) - [j65]Yan Xiang, Yu-Hang Tang, Guang Lin, Huai Sun:
A Comparative Study of Marginalized Graph Kernel and Message-Passing Neural Network. J. Chem. Inf. Model. 61(11): 5414-5424 (2021) - [j64]Sheng Zhang, Guang Lin:
SubTSBR to tackle high noise and outliers for data-driven discovery of differential equations. J. Comput. Phys. 428: 109962 (2021) - [j63]Yuepeng Wang, Xuemei Ding, Kun Hu, Fangxin Fang, I. M. Navon, Guang Lin:
Feasibility of DEIM for retrieving the initial field via dimensionality reduction. J. Comput. Phys. 429: 110005 (2021) - [j62]Hugo Esquivel, Arun Prakash, Guang Lin:
Flow-driven spectral chaos (FSC) method for simulating long-time dynamics of arbitrary-order non-linear stochastic dynamical systems. J. Comput. Phys. 430: 110044 (2021) - [j61]Yating Wang, Wei Deng, Guang Lin:
Bayesian sparse learning with preconditioned stochastic gradient MCMC and its applications. J. Comput. Phys. 432: 110134 (2021) - [j60]Yating Wang, Wei Deng, Guang Lin:
An adaptive Hessian approximated stochastic gradient MCMC method. J. Comput. Phys. 432: 110150 (2021) - [j59]Ziyang Huang, Guang Lin, Arezoo M. Ardekani:
A consistent and conservative model and its scheme for N-phase-M-component incompressible flows. J. Comput. Phys. 434: 110229 (2021) - [j58]Sheng Zhang, Joan Ponce, Zhen Zhang, Guang Lin, George E. Karniadakis:
An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City. PLoS Comput. Biol. 17(9) (2021) - [j57]Hui Huang, Jianhai Zhang, Li Zhu, Jiajia Tang, Guang Lin, Wanzeng Kong, Xu Lei, Lei Zhu:
EEG-Based Sleep Staging Analysis with Functional Connectivity. Sensors 21(6): 1988 (2021) - [j56]Jiuhai Chen, Lulu Kang, Guang Lin:
Gaussian Process Assisted Active Learning of Physical Laws. Technometrics 63(3): 329-342 (2021) - [c16]Guang Lin, Li Zhu, Bin Ren, Yiteng Hu, Jianhai Zhang:
Multi-Branch Network for Cross-Subject EEG-based Emotion Recognition. ACML 2021: 705-720 - [c15]Lang Hu, Li Zhu, Hui Huang, Guang Lin, Bin Ren, Jianhai Zhang:
Speaker recognition with voice evoked EEG. BIBM 2021: 2231-2236 - [c14]Wei Deng, Qi Feng, Georgios Karagiannis, Guang Lin, Faming Liang:
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction. ICLR 2021 - [c13]Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng:
Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. MICCAI (5) 2021: 449-458 - [c12]Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin:
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. WSDM 2021: 922-930 - [i35]Ziyang Huang, Guang Lin, Arezoo M. Ardekani:
A consistent and conservative model and its scheme for N-phase-M-component incompressible flows. CoRR abs/2101.04252 (2021) - [i34]Aoxue Chen, Guang Lin:
Robust data-driven discovery of partial differential equations with time-dependent coefficients. CoRR abs/2102.01432 (2021) - [i33]Ziyang Huang, Guang Lin, Arezoo M. Ardekani:
A consistent and conservative Phase-Field model for thermo-gas-liquid-solid flows including liquid-solid phase change. CoRR abs/2102.06863 (2021) - [i32]Ziyang Huang, Guang Lin, Arezoo M. Ardekani:
Implementing contact angle boundary conditions for second-order Phase-Field models of wall-bounded multiphase flows. CoRR abs/2103.07839 (2021) - [i31]Hugo Esquivel, Arun Prakash, Guang Lin:
Flow-driven spectral chaos (FSC) method for long-time integration of second-order stochastic dynamical systems. CoRR abs/2105.10544 (2021) - [i30]Guang Lin, Yating Wang, Zecheng Zhang:
Multi-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network. CoRR abs/2107.06330 (2021) - [i29]Wing Tat Leung, Guang Lin, Zecheng Zhang:
NH-PINN: Neural homogenization based physics-informed neural network for multiscale problems. CoRR abs/2108.12942 (2021) - [i28]Yalchin Efendiev, Wing Tat Leung, Guang Lin, Zecheng Zhang:
HEI: hybrid explicit-implicit learning for multiscale problems. CoRR abs/2109.02147 (2021) - [i27]Christian Moya, Guang Lin:
DAE-PINN: A Physics-Informed Neural Network Model for Simulating Differential-Algebraic Equations with Application to Power Networks. CoRR abs/2109.04304 (2021) - [i26]Haoyang Zheng, Ziyang Huang, Guang Lin:
PCNN: A physics-constrained neural network for multiphase flows. CoRR abs/2109.08965 (2021) - [i25]Guang Lin, Zecheng Zhang, Zhidong Zhang:
Theoretical and numerical studies of inverse source problem for the linear parabolic equation with sparse boundary measurements. CoRR abs/2111.02285 (2021) - [i24]Guang Lin, Christian Moya, Zecheng Zhang:
Accelerated replica exchange stochastic gradient Langevin diffusion enhanced Bayesian DeepONet for solving noisy parametric PDEs. CoRR abs/2111.02484 (2021) - [i23]Liyao Gao, Guang Lin, Wei Zhu:
Deformation Robust Roto-Scale-Translation Equivariant CNNs. CoRR abs/2111.10978 (2021) - [i22]Wei Deng, Yi-An Ma, Zhao Song, Qian Zhang, Guang Lin:
On Convergence of Federated Averaging Langevin Dynamics. CoRR abs/2112.05120 (2021) - 2020
- [j55]Zhaopeng Hao, Guang Lin, Zhongqiang Zhang:
Error estimates of a spectral Petrov-Galerkin method for two-sided fractional reaction-diffusion equations. Appl. Math. Comput. 374: 125045 (2020) - [j54]Yiqi Gu, Xi Yang, Mengjiao Peng, Guang Lin:
Robust weighted SVD-type latent factor models for rating prediction. Expert Syst. Appl. 141 (2020) - [j53]Yating Wang, Guang Lin:
Efficient deep learning techniques for multiphase flow simulation in heterogeneous porousc media. J. Comput. Phys. 401 (2020) - [j52]Ziyang Huang, Guang Lin, Arezoo M. Ardekani:
Consistent, essentially conservative and balanced-force Phase-Field method to model incompressible two-phase flows. J. Comput. Phys. 406: 109192 (2020) - [j51]Ziyang Huang, Guang Lin, Arezoo M. Ardekani:
Consistent and conservative scheme for incompressible two-phase flows using the conservative Allen-Cahn model. J. Comput. Phys. 420: 109718 (2020) - [j50]Tehuan Chen, Zhigang Ren, Guang Lin, Zongze Wu, Bao-Lin Ye:
Real-time computational optimal control of an MHD flow system with parameter uncertainty quantification. J. Frankl. Inst. 357(5): 2830-2850 (2020) - [j49]Wenrui Hao, Jan S. Hesthaven, Guang Lin, Bin Zheng:
A Homotopy Method with Adaptive Basis Selection for Computing Multiple Solutions of Differential Equations. J. Sci. Comput. 82(1): 19 (2020) - [j48]Na Ou, Guang Lin, Lijian Jiang:
A Low-Rank Approximated Multiscale Method for Pdes With Random Coefficients. Multiscale Model. Simul. 18(4): 1595-1620 (2020) - [j47]Sangpil Kim, Nick Winovich, Hyung-Gun Chi, Guang Lin, Karthik Ramani:
Latent transformations neural network for object view synthesis. Vis. Comput. 36(8): 1663-1677 (2020) - [c11]Wei Deng, Qi Feng, Liyao Gao, Faming Liang, Guang Lin:
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC. ICML 2020: 2474-2483 - [c10]Wei Deng, Guang Lin, Faming Liang:
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions. NeurIPS 2020 - [c9]Jiaming Li, Meng Yue, Yue Zhao, Guang Lin:
Machine-Learning-Based Online Transient Analysis via Iterative Computation of Generator Dynamics. SmartGridComm 2020: 1-6 - [i21]Wei Deng, Junwei Pan, Tian Zhou, Aaron Flores, Guang Lin:
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. CoRR abs/2002.06987 (2020) - [i20]Liyao Gao, Yifan Du, Hongshan Li, Guang Lin:
RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors. CoRR abs/2005.04286 (2020) - [i19]Moonseop Kim, Huayi Yin, Guang Lin:
Multi-Fidelity Gaussian Process based Empirical Potential Development for Si: H Nanowires. CoRR abs/2005.08638 (2020) - [i18]Moonseop Kim, Guang Lin:
Peri-Net-Pro: The neural processes with quantified uncertainty for crack patterns. CoRR abs/2005.13461 (2020) - [i17]Yating Wang, Wei Deng, Guang Lin:
Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications. CoRR abs/2006.16376 (2020) - [i16]Yixiang Deng, Guang Lin, Xiu Yang:
Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression. CoRR abs/2008.01066 (2020) - [i15]Wei Deng, Qi Feng, Liyao Gao, Faming Liang, Guang Lin:
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC. CoRR abs/2008.05367 (2020) - [i14]Wei Deng, Qi Feng, Georgios Karagiannis, Guang Lin, Faming Liang:
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction. CoRR abs/2010.01084 (2020) - [i13]Yating Wang, Guang Lin:
MFPC-Net: Multi-fidelity Physics-Constrained Neural Process. CoRR abs/2010.01378 (2020) - [i12]Yating Wang, Wei Deng, Guang Lin:
An adaptive Hessian approximated stochastic gradient MCMC method. CoRR abs/2010.01384 (2020) - [i11]Lang Zhao, Tyler Tallman, Guang Lin:
Spatial Damage Characterization in Self-Sensing Materials via Neural Network-Aided Electrical Impedance Tomography: A Computational Study. CoRR abs/2010.01674 (2020) - [i10]Yixuan Sun, Imad Hanhan, Michael D. Sangid, Guang Lin:
Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks. CoRR abs/2010.03675 (2020) - [i9]Wei Deng, Guang Lin, Faming Liang:
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions. CoRR abs/2010.09800 (2020) - [i8]Guang Lin, Jianhai Zhang, Yuxi Liu:
Single Shot Reversible GAN for BCG artifact removal in simultaneous EEG-fMRI. CoRR abs/2011.01710 (2020) - [i7]Hugo Esquivel, Arun Prakash, Guang Lin:
Flow-driven spectral chaos (FSC) method for simulating long-time dynamics of arbitrary-order non-linear stochastic dynamical systems. CoRR abs/2012.01496 (2020)
2010 – 2019
- 2019
- [j46]Yu Huang, Qingshan Xu, Sajjad Abedi, Tong Zhang, Xianqiang Jiang, Guang Lin:
Stochastic Security Assessment for Power Systems With High Renewable Energy Penetration Considering Frequency Regulation. IEEE Access 7: 6450-6460 (2019) - [j45]Jun Yang, Wei Wang, Guang Lin, Qing Li, Yeqing Sun, Yixuan Sun:
Infrared Thermal Imaging-Based Crack Detection Using Deep Learning. IEEE Access 7: 182060-182077 (2019) - [j44]Guangpei Sun, Peng Jiang, Huan Xu, Shan-en Yu, Dong Guo, Guang Lin, Hui Wu:
Outlier Detection and Correction for Monitoring Data of Water Quality Based on Improved VMD and LSSVM. Complex. 2019: 9643921:1-9643921:12 (2019) - [j43]Yuepeng Wang, Kun Hu, Lanlan Ren, Guang Lin:
Optimal observations-based retrieval of topography in 2D shallow water equations using PC-EnKF. J. Comput. Phys. 382: 43-60 (2019) - [j42]Ziyang Huang, Guang Lin, Arezoo M. Ardekani:
A mixed upwind/central WENO scheme for incompressible two-phase flows. J. Comput. Phys. 387: 455-480 (2019) - [j41]Nick Winovich, Karthik Ramani, Guang Lin:
ConvPDE-UQ: Convolutional neural networks with quantified uncertainty for heterogeneous elliptic partial differential equations on varied domains. J. Comput. Phys. 394: 263-279 (2019) - [j40]Zhaopeng Hao, Moongyu Park, Guang Lin, Zhiqiang Cai:
Finite Element Method for Two-Sided Fractional Differential Equations with Variable Coefficients: Galerkin Approach. J. Sci. Comput. 79(2): 700-717 (2019) - [c8]Guodong Yang, Jianhai Zhang, Li Zhu, Weitao Huan, Guang Lin, Zheng Ma:
UAV-Based Motion Target Detection and Tracking Method in Dynamic Scenes. DSC 2019: 604-609 - [c7]Liyao Gao, Hongshan Li, Zheying Lu, Guang Lin:
Rotation-equivariant convolutional neural network ensembles in image processing. UbiComp/ISWC Adjunct 2019: 551-557 - [c6]Wei Deng, Xiao Zhang, Faming Liang, Guang Lin:
An Adaptive Empirical Bayesian Method for Sparse Deep Learning. NeurIPS 2019: 5564-5574 - [i6]Wentao Chen, Tehuan Chen, Guang Lin:
Reinforcement Learning for Traffic Control with Adaptive Horizon. CoRR abs/1903.12348 (2019) - [i5]Sheng Zhang, Guang Lin:
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. CoRR abs/1907.07788 (2019) - [i4]Yating Wang, Guang Lin:
Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media. CoRR abs/1907.09571 (2019) - [i3]Wei Deng, Xiao Zhang, Faming Liang, Guang Lin:
An Adaptive Empirical Bayesian Method for Sparse Deep Learning. CoRR abs/1910.10791 (2019) - 2018
- [j39]Mu Wang, Guang Lin, Alex Pothen:
Using automatic differentiation for compressive sensing in uncertainty quantification. Optim. Methods Softw. 33(4-6): 799-812 (2018) - [j38]Yingwei Wang, Wenrui Hao, Guang Lin:
Two-Level Spectral Methods for Nonlinear Elliptic Equations with Multiple Solutions. SIAM J. Sci. Comput. 40(4): B1180-B1205 (2018) - [c5]Yixuan Sun, Xiaoyuan Fan, Qiuhua Huang, Xinya Li, Renke Huang, Tianzhixi Yin, Guang Lin:
Local Feature Sufficiency Exploration for Predicting Security-Constrained Generation Dispatch in Multi-area Power Systems. ICMLA 2018: 1283-1289 - [i2]Sangpil Kim, Nick Winovich, Guang Lin, Karthik Ramani:
CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification. CoRR abs/1807.04812 (2018) - 2017
- [j37]Zhao-peng Hao, Guang Lin, Zhi-Zhong Sun:
A high-order difference scheme for the fractional sub-diffusion equation. Int. J. Comput. Math. 94(2): 405-426 (2017) - [j36]Zhaopeng Hao, Wanrong Cao, Guang Lin:
A second-order difference scheme for the time fractional substantial diffusion equation. J. Comput. Appl. Math. 313: 54-69 (2017) - [j35]Luoping Chen, Bin Zheng, Guang Lin, Nikolaos Voulgarakis:
A two-level stochastic collocation method for semilinear elliptic equations with random coefficients. J. Comput. Appl. Math. 315: 195-207 (2017) - [j34]Georgios Karagiannis, Guang Lin:
On the Bayesian calibration of computer model mixtures through experimental data, and the design of predictive models. J. Comput. Phys. 342: 139-160 (2017) - [j33]Georgios Karagiannis, Bledar A. Konomi, Guang Lin, Faming Liang:
Parallel and interacting stochastic approximation annealing algorithms for global optimisation. Stat. Comput. 27(4): 927-945 (2017) - [j32]Emilie Purvine, Eduardo Cotilla Sanchez, Mahantesh Halappanavar, Zhenyu Huang, Guang Lin, Shuai Lu, Shaobu Wang:
Comparative study of clustering techniques for real-time dynamic model reduction. Stat. Anal. Data Min. 10(5): 263-276 (2017) - [j31]Junpeng Wang, Xiaotong Liu, Han-Wei Shen, Guang Lin:
Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots. IEEE Trans. Vis. Comput. Graph. 23(1): 81-90 (2017) - [j30]Ayan Biswas, Guang Lin, Xiaotong Liu, Han-Wei Shen:
Visualization of Time-Varying Weather Ensembles across Multiple Resolutions. IEEE Trans. Vis. Comput. Graph. 23(1): 841-850 (2017) - 2016
- [j29]Yuzhou Sun, Pengtao Sun, Bin Zheng, Guang Lin:
Error analysis of finite element method for Poisson-Nernst-Planck equations. J. Comput. Appl. Math. 301: 28-43 (2016) - [j28]Xiu Yang, Huan Lei, Nathan A. Baker, Guang Lin:
Enhancing sparsity of Hermite polynomial expansions by iterative rotations. J. Comput. Phys. 307: 94-109 (2016) - [j27]Hongqiao Wang, Guang Lin, Jinglai Li:
Gaussian process surrogates for failure detection: A Bayesian experimental design approach. J. Comput. Phys. 313: 247-259 (2016) - [j26]Qifeng Liao, Guang Lin:
Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs. J. Comput. Phys. 317: 148-164 (2016) - [j25]Weixuan Li, Guang Lin, Bing Li:
Inverse regression-based uncertainty quantification algorithms for high-dimensional models: Theory and practice. J. Comput. Phys. 321: 259-278 (2016) - [j24]Victor Ginting, Guang Lin, Jiangguo Liu:
On Application of the Weak Galerkin Finite Element Method to a Two-Phase Model for Subsurface Flow. J. Sci. Comput. 66(1): 225-239 (2016) - [j23]Ido Bright, Guang Lin, J. Nathan Kutz:
Classification of Spatiotemporal Data via Asynchronous Sparse Sampling: Application to Flow around a Cylinder. Multiscale Model. Simul. 14(2): 823-838 (2016) - [j22]Li Li, Yongqing Yang, Guang Lin:
The stabilization of BAM neural networks with time-varying delays in the leakage terms via sampled-data control. Neural Comput. Appl. 27(2): 447-457 (2016) - [p1]Guang Lin:
Integrate Big Data for Better Operation, Control, and Protection of Power Systems. Handbook of Big Data 2016: 47-60 - 2015
- [j21]Guang Lin, Jiangguo Liu, Farrah Sadre-Marandi:
A comparative study on the weak Galerkin, discontinuous Galerkin, and mixed finite element methods. J. Comput. Appl. Math. 273: 346-362 (2015) - [j20]Wenrui Hao, Zhiliang Xu, Chun Liu, Guang Lin:
A fictitious domain method with a hybrid cell model for simulating motion of cells in fluid flow. J. Comput. Phys. 280: 345-362 (2015) - [j19]Georgios Karagiannis, Bledar A. Konomi, Guang Lin:
A Bayesian mixed shrinkage prior procedure for spatial-stochastic basis selection and evaluation of gPC expansions: Applications to elliptic SPDEs. J. Comput. Phys. 284: 528-546 (2015) - [j18]Weixuan Li, Guang Lin:
An adaptive importance sampling algorithm for Bayesian inversion with multimodal distributions. J. Comput. Phys. 294: 173-190 (2015) - [j17]Jinglai Li, Guang Lin, Xu Yang:
A frozen Gaussian approximation-based multi-level particle swarm optimization for seismic inversion. J. Comput. Phys. 296: 58-71 (2015) - [j16]Bohai Zhang, Bledar A. Konomi, Huiyan Sang, Georgios Karagiannis, Guang Lin:
Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions. J. Comput. Phys. 300: 623-642 (2015) - [j15]Huan Lei, Xiu Yang, Bin Zheng, Guang Lin, Nathan A. Baker:
Constructing Surrogate Models of Complex Systems with Enhanced Sparsity: Quantifying the Influence of Conformational Uncertainty in Biomolecular Solvation. Multiscale Model. Simul. 13(4): 1327-1353 (2015) - [i1]