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Guang Lin

  1. DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories
    2022/02/15 by Christian Moya, Moya, Christian, Shiqi Zhang +4 · 4 citations
    Engineering · Computer Science · #Power System Optimization and Stability #Energy Load and Power Forecasting #Computational Physics and Python Applications
  2. A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
    2020/10/19 by Wei Deng, Guang Lin, Deng, Wei +3 · 3 citations
    Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
  3. Energy-Dissipative Evolutionary Deep Operator Neural Networks
    2023/06/09 by Jiahao Zhang, Shiheng Zhang, Zhang, Jiahao +5 · 4 citations
    Physics and Astronomy · Engineering · Computer Science · #Model Reduction and Neural Networks #Heat Transfer and Optimization #Neural Networks and Applications
  4. NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training
    2023/03/03 by Binghang Lu, Lu, Binghang, Christian B. Moya +3 · 3 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications #Gaussian Processes and Bayesian Inference
  5. Cavity linewidth narrowing with dark-state polaritons
    2013/08/14 by Guang Lin, Jianji Yang, Lin, G. W. +7 · 1 citation
    Computer Science · Physics and Astronomy · #FOS: Physical sciences #Mechanical and Optical Resonators #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Quantum optics and atomic interactions
  6. Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks
    2024/02/23 by Christian Moya, Amirhossein Mollaali, Moya, Christian +7 · 3 citations
    Engineering · Computer Science · #Fault Detection and Control Systems #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning
  7. Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE
    2023/08/27 by Zecheng Zhang, Christian Moya, Zhang, Zecheng +7 · 2 citations
    Computer Science · Engineering · #Advanced Mathematical Modeling in Engineering #Composite Material Mechanics #Advanced Numerical Methods in Computational Mathematics
  8. Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
    2024/01/29 by Guang Lin, Lin, Guang, Chao Li +7 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  9. Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC\n via Variance Reduction
    2020/10/02 by Wei Deng, Deng, Wei, Qi Feng +7 · 2 citations
    Mathematics · Computer Science · Medicine · #Markov Chains and Monte Carlo Methods #Stochastic Gradient Optimization Techniques #Advanced Neuroimaging Techniques and Applications
  10. Multi-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network
    2021/07/13 by Guang Lin, Lin, Guang, Yating Wang +3 · 1 citation
    Computer Science · Mathematics · Physics and Astronomy · #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  11. Backdiff: a diffusion model for generalized transferable protein backmapping
    2023/10/03 by Yikai Liu, Liu, Yikai, Ming Chen +3 · 1 voice · 1 citation
    Biochemistry, Genetics and Molecular Biology · Chemistry · Computer Science · Materials Science · #Advanced NMR Techniques and Applications #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM) #cs.LG #q-bio.QM
  12. LES-SINDy: Laplace-Enhanced Sparse Identification of Nonlinear Dynamical Systems
    2024/11/04 by Haoyang Zheng, Guang Lin, Zheng, Haoyang +1 · 2 citations
    Computer Science · Engineering · #Advanced Vision and Imaging #Computational Physics (physics.comp-ph) #Control Systems and Identification #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
  13. On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators
    2023/01/29 by Christian Moya, Mollaali, Amirhossein, Moya, Christian +4 · 1 citation
    Computer Science · Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Power System Optimization and Stability
  14. Active operator learning with predictive uncertainty quantification for partial differential equations
    2025/03/05 by Nick Winovich, Winovich, Nick, Mitchell Daneker +5 · 3 citations
    Engineering · Physics and Astronomy · #Advanced Measurement and Metrology Techniques #Model Reduction and Neural Networks
  15. Coefficient-to-Basis Network: A Fine-Tunable Operator Learning Framework for Inverse Problems with Adaptive Discretizations and Theoretical Guarantees
    2025/03/11 by Zecheng Zhang, Hao Liu, Zhang, Zecheng +5 · 3 citations
    Mathematics · #Numerical methods in inverse problems
  16. Adversarial Guided Diffusion Models for Adversarial Purification
    2024/03/24 by Guang Lin, Zerui Tao, Lin, Guang +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  17. Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations
    2025/02/01 by Haoyang Zheng, Zheng, Haoyang, Guang Lin +1 · 1 citation
    Engineering · Environmental Science · Physics and Astronomy · #Fault Detection and Control Systems #Hydrological Forecasting Using AI #Model Reduction and Neural Networks
  18. Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators
    2024/10/31 by Amirhossein Mollaali, Gabriel Zufferey, Mollaali, Amirhossein +11 · 1 citation
    Decision Sciences · Engineering · #FOS: Computer and information sciences #Machine Fault Diagnosis Techniques #Machine Learning (cs.LG) #Risk and Safety Analysis
  19. Finite Element Representation Network (FERN) for Operator Learning with a Localized Trainable Basis
    2025/10/30 by Zecheng Zhang, Zhang, Zecheng, Guosheng Fu +6 · 1 citation
    Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods in engineering
  20. SE(3)-MeanFlow: Few-Step Protein Backbone Generation on Lie Groups
    2026/07/29 by Yikun Bai, Binghang Lu, Yikai Liu +7
    Computer Science · #cs.LG #cs.AI
  21. Two-Timescale Hierarchical Reinforcement Learning for Resilient Operations
    2026/07/26 by Young Hyun Cho, Franz Stoll, Will Wei Sun +2
    #stat.ML #cs.LG #stat.ME
  22. Geometry-aware LegONet for PDE Learning on Arbitrary Domains
    2026/07/25 by Jiahao Zhang, Yueqi Wang, Guang Lin
    #math.NA #cs.NA
  23. A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling
    2026/07/21 by Eric Herrison Gyamfi, Emily L. Kang, Bledar A. Konomi +1
    #stat.ML #cs.LG #math.PR #stat.AP #stat.CO #stat.ME