Guang Lin

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
DiLO: Decoupling Generative Priors and Neural Operators via Diffusion Latent Optimization for Inverse Problems.
CoRR, April, 2026

AIVV: Neuro-Symbolic LLM Agent-Integrated Verification and Validation for Trustworthy Autonomous Systems.
CoRR, April, 2026

LegONet: Plug-and-Play Structure-Preserving Neural Operator Blocks for Compositional PDE Learning.
CoRR, March, 2026

Muon with Spectral Guidance: Efficient Optimization for Scientific Machine Learning.
CoRR, February, 2026

ATLAS : Adaptive Self-Evolutionary Research Agent with Task-Distributed Multi-LLM Supporters.
CoRR, February, 2026

A POD-DeepONet Framework for Forward and Inverse Design of 2D Photonic Crystals.
CoRR, January, 2026

2025
Reduced-Basis Deep Operator Learning for Parametric PDEs with Independently Varying Boundary and Source Data.
CoRR, November, 2025

Data-driven Feynman-Kac Discovery with Applications to Prediction and Data Generation.
CoRR, November, 2025

PO-CKAN:Physics Informed Deep Operator Kolmogorov Arnold Networks with Chunk Rational Structure.
CoRR, October, 2025

Low-Rank Adaptation of Evolutionary Deep Neural Networks for Efficient Learning of Time-Dependent PDEs.
CoRR, September, 2025

Physics Informed Constrained Learning of Dynamics from Static Data.
CoRR, April, 2025

A Novel Enhanced Data-Driven Model-Free Adaptive Control Scheme for Path Tracking of Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., January, 2025

2024
LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning.
CoRR, 2024

Triplet-branch network with contrastive prior-knowledge embedding for disease grading.
Artif. Intell. Medicine, 2024

Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Federated High-Dimensional Online Decision Making.
Trans. Mach. Learn. Res., 2023

2022
Deformation Robust Roto-Scale-Translation Equivariant CNNs.
Trans. Mach. Learn. Res., 2022

2021
Robust data-driven discovery of partial differential equations with time-dependent coefficients.
CoRR, 2021

Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Spatial Damage Characterization in Self-Sensing Materials via Neural Network-Aided Electrical Impedance Tomography: A Computational Study.
CoRR, 2020

MFPC-Net: Multi-fidelity Physics-Constrained Neural Process.
CoRR, 2020

Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression.
CoRR, 2020

Peri-Net-Pro: The neural processes with quantified uncertainty for crack patterns.
CoRR, 2020

Multi-Fidelity Gaussian Process based Empirical Potential Development for Si: H Nanowires.
CoRR, 2020

RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors.
CoRR, 2020

2019
Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media.
CoRR, 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.
CoRR, 2019

Reinforcement Learning for Traffic Control with Adaptive Horizon.
CoRR, 2019

Outlier Detection and Correction for Monitoring Data of Water Quality Based on Improved VMD and LSSVM.
Complex., 2019

2016
Integrate Big Data for Better Operation, Control, and Protection of Power Systems.
Proceedings of the Handbook of Big Data., 2016

2013
Improved CamShift tracking algorithm based on motion detection.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2011
A new IITNAM representation method of gray images.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011


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