Guang Lin

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 176

Top Venues

CoRR

J. Comput. Phys.

J. Comput. Appl. Math.

Multiscale Model. Simul.

Publications

Christian Moya, Amirhossein Mollaali, Zecheng Zhang, Lu Lu, Guang Lin
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks. CoRR (2024)
Yuepeng Wang, Jie Li, Wenju Zhao, I. M. Navon, Guang Lin
Accelerating inverse inference of ensemble Kalman filter via reduced-order model trained using adaptive sparse observations. J. Comput. Phys. 496 (2024)
Haoyang Zheng, Wei Deng, Christian Moya, Guang Lin
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo. AISTATS (2024)
Na Ou, Zecheng Zhang, Guang Lin
A replica exchange preconditioned Crank-Nicolson Langevin dynamic MCMC method with multi-variance strategy for Bayesian inverse problems. J. Comput. Phys. 510 (2024)
Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng
Triplet-branch network with contrastive prior-knowledge embedding for disease grading. Artif. Intell. Medicine 149 (2024)
Guang Lin, Zerui Tao, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao
Robust Diffusion Models for Adversarial Purification. CoRR (2024)
Wenjie Li, Qifan Song, Jean Honorio, Guang Lin
Federated X-armed Bandit. AAAI (2024)
Jiajun Liang, Qian Zhang, Wei Deng, Qifan Song, Guang Lin
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory. CoRR (2024)
Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization. CoRR (2024)
Jinwon Sohn, Qifan Song, Guang Lin
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes. AISTATS (2024)
Haoyang Zheng, Wei Deng, Christian Moya, Guang Lin
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo. CoRR (2024)
Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization. ICLR (2024)
Haoyang Zheng, Hengrong Du, Qi Feng, Wei Deng, Guang Lin
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics. CoRR (2024)
Guang Lin, Qibin Zhao
Large Language Model Sentinel: Advancing Adversarial Robustness by LLM Agent. CoRR (2024)
Haoyang Zheng, Yao Huang, Ziyang Huang, Wenrui Hao, Guang Lin
HomPINNs: Homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions. J. Comput. Phys. 500 (2024)
Jiahao Zhang, Shiheng Zhang, Jie Shen, Guang Lin
Energy-dissipative evolutionary deep operator neural networks. J. Comput. Phys. 498 (2024)
Jiahao Zhang, Shiheng Zhang, Jie Shen, Guang Lin
Energy-Dissipative Evolutionary Deep Operator Neural Networks. CoRR (2023)
Yan Xiang, Yu-Hang Tang, Guang Lin, Daniel Reker
Interpretable Molecular Property Predictions Using Marginalized Graph Kernels. J. Chem. Inf. Model. 63 (15) (2023)
Guang Lin, Na Ou, Zecheng Zhang, Zhidong Zhang
Restoring the Discontinuous Heat Equation Source Using Sparse Boundary Data and Dynamic Sensors. CoRR (2023)
Guihong Wang, Yuqing Li, Tao Luo, Zheng Ma, Nung Kwan Yip, Guang Lin
Numerical Stability for Differential Equations with Memory. CoRR (2023)
Jinwon Sohn, Qifan Song, Guang Lin
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes. CoRR (2023)
Binghang Lu, Christian B. Moya, Guang Lin
NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training. CoRR (2023)
Guang Lin, Christian Moya, Zecheng Zhang
B-DeepONet: An enhanced Bayesian DeepONet for solving noisy parametric PDEs using accelerated replica exchange SGLD. J. Comput. Phys. 473 (2023)
Christian Moya, Guang Lin, Tianqiao Zhao, Meng Yue
On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators. CoRR (2023)
Wei Deng, Qian Zhang, Qi Feng, Faming Liang, Guang Lin
Non-reversible Parallel Tempering for Deep Posterior Approximation. AAAI (2023)
Amirhossein Mollaali, Izzet Sahin, Iqrar Raza, Christian Moya, Guillermo Paniagua, Guang Lin
A Physics-Guided Bi-Fidelity Fourier-Featured Operator Learning Framework for Predicting Time Evolution of Drag and Lift Coefficients. CoRR (2023)
Christian Moya, Guang Lin
DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks. Neural Comput. Appl. 35 (5) (2023)
Yikai Liu, Tushar K. Ghosh, Guang Lin, Ming Chen
Unbiasing Enhanced Sampling on a High-dimensional Free Energy Surface with Deep Generative Model. CoRR (2023)
Guanxun Li, Guang Lin, Zecheng Zhang, Quan Zhou
Fast Replica Exchange Stochastic Gradient Langevin Dynamics. CoRR (2023)
Shiheng Zhang, Jiahao Zhang, Jie Shen, Guang Lin
An Element-wise RSAV Algorithm for Unconstrained Optimization Problems. CoRR (2023)
Christian Moya, Shiqi Zhang, Guang Lin, Meng Yue
DeepONet-grid-UQ: A trustworthy deep operator framework for predicting the power grid's post-fault trajectories. Neurocomputing 535 (2023)
Xinchao Liu, Xiao Liu, Tulin Kaman, Xiaohua Lu, Guang Lin
Statistical Learning for Nonlinear Dynamical Systems with Applications to Aircraft-UAV Collisions. Technometrics 65 (4) (2023)
Zhihao Kong, Amirhossein Mollaali, Christian Moya, Na Lu, Guang Lin
B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions. CoRR (2023)
Zecheng Zhang, Christian Moya, Wing Tat Leung, Guang Lin, Hayden Schaeffer
Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE. CoRR (2023)
Guang Lin, Christian Moya, Zecheng Zhang
Learning the dynamical response of nonlinear non-autonomous dynamical systems with deep operator neural networks. Eng. Appl. Artif. Intell. 125 (2023)
Chi-Hua Wang, Wenjie Li, Guang Lin
Federated High-Dimensional Online Decision Making. Trans. Mach. Learn. Res. 2023 (2023)
Haoyang Zheng, Yao Huang, Ziyang Huang, Wenrui Hao, Guang Lin
HomPINNs: homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions. CoRR (2023)
Yixuan Sun, Christian Moya, Guang Lin, Meng Yue
DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-Shot Transfer the Dynamic Response of Networked Systems. IEEE Syst. J. 17 (3) (2023)
Izzet Sahin, Christian Moya, Amirhossein Mollaali, Guang Lin, Guillermo Paniagua
Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles. CoRR (2023)
Yikai Liu, Ming Chen, Guang Lin
Backdiff: a diffusion model for generalized transferable protein backmapping. CoRR (2023)
Guang Lin, Jianhai Zhang
Multi-Subdomain Adversarial Network for Cross-Subject EEG-based Emotion Recognition. CoRR (2023)
Christian Moya, Guang Lin
Bayesian, Multifidelity Operator Learning for Complex Engineering Systems-A Position Paper. J. Comput. Inf. Sci. Eng. 23 (6) (2023)
Binghang Lu, Christian Moya, Guang Lin
NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training. Algorithms 16 (4) (2023)
Zecheng Zhang, Christian Moya, Lu Lu, Guang Lin, Hayden Schaeffer
D2NO: Efficient Handling of Heterogeneous Input Function Spaces with Distributed Deep Neural Operators. CoRR (2023)
Yan Xiang, Yu-Hang Tang, Zheng Gong, Hongyi Liu, Liang Wu, Guang Lin, Huai Sun
Efficient Exploration of Chemical Compound Space Using Active Learning for Prediction of Thermodynamic Properties of Alkane Molecules. J. Chem. Inf. Model. 63 (21) (2023)
Carson Hu, Guang Lin, Bao Wang, Meng Yue, Jack Xin
Post-Fault Power Grid Voltage Prediction via 1D-CNN with Spatial Coupling. AI4I (2022)
Christian Moya, Guang Lin
Fed-DeepONet: Stochastic Gradient-Based Federated Training of Deep Operator Networks. Algorithms 15 (9) (2022)
Sheng Zhang, Guang Lin, Samy Tindel
2-d signature of images and texture classification. CoRR (2022)
Wing Tat Leung, Guang Lin, Zecheng Zhang
NH-PINN: Neural homogenization-based physics-informed neural network for multiscale problems. J. Comput. Phys. 470 (2022)
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 (2022)
Hugo Esquivel, Arun Prakash, Guang Lin
Multi-element flow-driven spectral chaos (ME-FSC) method for uncertainty quantification of dynamical systems. CoRR (2022)
Yalchin Efendiev, Wing Tat Leung, Guang Lin, Zecheng Zhang
Efficient hybrid explicit-implicit learning for multiscale problems. J. Comput. Phys. 467 (2022)
Tehuan Chen, Zhigang Ren, Guang Lin, Chao Xu
Learning-PDE-Based Approximate Optimal Control for an MHD System With Uncertainty Quantification. IEEE Trans. Syst. Man Cybern. Syst. 52 (11) (2022)
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 (2022)
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)
Chi-Hua Wang, Wenjie Li, Guang Cheng, Guang Lin
Federated Online Sparse Decision Making. CoRR (2022)
Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang
Interacting Contour Stochastic Gradient Langevin Dynamics. CoRR (2022)
Yixuan Sun, Christian Moya, Guang Lin, Meng Yue
DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-shot Transfer the Dynamic Response of Networked Systems. CoRR (2022)
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 (2022)
Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang
Interacting Contour Stochastic Gradient Langevin Dynamics. ICLR (2022)
Liyao Gao, Guang Lin, Wei Zhu
Deformation Robust Roto-Scale-Translation Equivariant CNNs. Trans. Mach. Learn. Res. 2022 (2022)
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 (2022)
Wenjie Li, Qifan Song, Jean Honorio, Guang Lin
Federated X-Armed Bandit. CoRR (2022)
Na Ou, Zecheng Zhang, Guang Lin
A replica exchange preconditioned Crank-Nicolson Langevin dynamic MCMC method for Bayesian inverse problems. CoRR (2022)
Wei Deng, Guang Lin, Faming Liang
An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization. Stat. Comput. 32 (4) (2022)
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) (2022)
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 (2022)
Dongwu Wang, Bin Zheng, Long Chen, Guang Lin, Jinchao Xu
Block triangular preconditioning for stochastic Galerkin method. J. Comput. Appl. Math. 412 (2022)
Haoyang Zheng, Jeffrey R. Petrella, P. Murali Doraiswamy, Guang Lin, Wenrui Hao
Data-driven causal model discovery and personalized prediction in Alzheimer's disease. npj Digit. Medicine 5 (2022)
Wei Deng, Qian Zhang, Qi Feng, Faming Liang, Guang Lin
Non-reversible Parallel Tempering for Deep Posterior Approximation. CoRR (2022)
Yating Wang, Wing Tat Leung, Guang Lin
AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems. CoRR (2022)
Hugo Esquivel, Arun Prakash, Guang Lin
Multi-element flow-driven spectral chaos (ME-FSC) method for uncertainty quantification of dynamical systems. J. Comput. Phys. 467 (2022)
Liyao Gao, Yifan Du, Hongshan Li, Guang Lin
RotEqNet: Rotation-equivariant network for fluid systems with symmetric high-order tensors. J. Comput. Phys. 461 (2022)
Shruthi Suresh, David T. Newton, Thomas H. Everett, Guang Lin, Bradley S. Duerstock
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia. Frontiers Neuroinformatics 16 (2022)
Yating Wang, Wing Tat Leung, Guang Lin
AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems. Multiscale Model. Simul. 20 (1) (2022)
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 (2022)
Ziyang Huang, Guang Lin, Arezoo M. Ardekani
A consistent and conservative Phase-Field method for multiphase incompressible flows. J. Comput. Appl. Math. 408 (2022)
Guang Lin, Yating Wang, Zecheng Zhang
Multi-variance replica exchange SGMCMC for inverse and forward problems via Bayesian PINN. J. Comput. Phys. 460 (2022)
Yan Xiang, Yu-Hang Tang, Zheng Gong, Hongyi Liu, Liang Wu, Guang Lin, Huai Sun
Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation. CoRR (2022)
Ziyang Huang, Guang Lin, Arezoo M. Ardekani
Implementing contact angle boundary conditions for second-order Phase-Field models of wall-bounded multiphase flows. J. Comput. Phys. 471 (2022)
Jiahao Zhang, Shiqi Zhang, Guang Lin
RMFGP: Rotated Multi-fidelity Gaussian process with Dimension Reduction for High-dimensional Uncertainty Quantification. CoRR (2022)
Yao Huang, Wenrui Hao, Guang Lin
HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations. Comput. Math. Appl. 121 (2022)
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 (2021)
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)
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) (2021)
Wei Deng, Yi-An Ma, Zhao Song, Qian Zhang, Guang Lin
On Convergence of Federated Averaging Langevin Dynamics. CoRR (2021)
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 (2021)
Jiuhai Chen, Lulu Kang, Guang Lin
Gaussian Process Assisted Active Learning of Physical Laws. Technometrics 63 (3) (2021)
Ziyang Huang, Guang Lin, Arezoo M. Ardekani
A consistent and conservative model and its scheme for N-phase-M-component incompressible flows. CoRR (2021)
Aoxue Chen, Guang Lin
Robust data-driven discovery of partial differential equations with time-dependent coefficients. CoRR (2021)
Haoyang Zheng, Ziyang Huang, Guang Lin
PCNN: A physics-constrained neural network for multiphase flows. CoRR (2021)
Yating Wang, Wei Deng, Guang Lin
Bayesian sparse learning with preconditioned stochastic gradient MCMC and its applications. J. Comput. Phys. 432 (2021)
Wing Tat Leung, Guang Lin, Zecheng Zhang
NH-PINN: Neural homogenization based physics-informed neural network for multiscale problems. CoRR (2021)
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)
Guang Lin, Li Zhu, Bin Ren, Yiteng Hu, Jianhai Zhang
Multi-Branch Network for Cross-Subject EEG-based Emotion Recognition. ACML (2021)
Shichao Zhou, Guang Lin, Qinfang Qian, Chao Xu
Binary classification of floor vibrations for human activity detection based on dynamic mode decomposition. Neurocomputing 432 (2021)
Sheng Zhang, Guang Lin
SubTSBR to tackle high noise and outliers for data-driven discovery of differential equations. J. Comput. Phys. 428 (2021)
Liyao Gao, Guang Lin, Wei Zhu
Deformation Robust Roto-Scale-Translation Equivariant CNNs. CoRR (2021)
Christian Moya, Guang Lin
DAE-PINN: A Physics-Informed Neural Network Model for Simulating Differential-Algebraic Equations with Application to Power Networks. CoRR (2021)
Ziyang Huang, Guang Lin, Arezoo M. Ardekani
Implementing contact angle boundary conditions for second-order Phase-Field models of wall-bounded multiphase flows. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Guang Lin