We stand with Ukraine

We stand with Ukraine

Guang Lin

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

Bibliography

2025

MoPINNEnKF: Iterative Model Inference using generic-PINN-based ensemble Kalman filter.

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CoRR, June, 2025

Physics Informed Constrained Learning of Dynamics from Static Data.

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CoRR, April, 2025

Active operator learning with predictive uncertainty quantification for partial differential equations.

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Mitchell Daneker

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CoRR, March, 2025

A Novel Enhanced Data-Driven Model-Free Adaptive Control Scheme for Path Tracking of Autonomous Vehicles.

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IEEE Trans. Intell. Transp. Syst., January, 2025

High-quality three-dimensional cartoon avatar reconstruction with Gaussian splatting.

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Eng. Appl. Artif. Intell., 2025

2024

LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning.

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CoRR, 2024

Triplet-branch network with contrastive prior-knowledge embedding for disease grading.

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Artif. Intell. Medicine, 2024

Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes.

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Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Federated High-Dimensional Online Decision Making.

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Trans. Mach. Learn. Res., 2023

2022

Deformation Robust Roto-Scale-Translation Equivariant CNNs.

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Trans. Mach. Learn. Res., 2022

2021

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

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CoRR, 2021

Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks.

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Michael D. Sangid

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CoRR, 2020

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

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CoRR, 2020

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

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CoRR, 2020

Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression.

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CoRR, 2020

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

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CoRR, 2020

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

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CoRR, 2020

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

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CoRR, 2020

2019

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

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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.

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CoRR, 2019

Reinforcement Learning for Traffic Control with Adaptive Horizon.

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CoRR, 2019

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

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Complex., 2019

2016

Integrate Big Data for Better Operation, Control, and Protection of Power Systems.

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Proceedings of the Handbook of Big Data., 2016

2013

Improved CamShift tracking algorithm based on motion detection.

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Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2011

A new IITNAM representation method of gray images.

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Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

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