Youzuo Lin

Orcid: 0000-0001-7337-6760

According to our database1, Youzuo Lin authored at least 53 papers between 2010 and 2024.

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Bibliography

2024
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography.
IEEE Trans. Computational Imaging, 2024

A Physics-guided Generative AI Toolkit for Geophysical Monitoring.
CoRR, 2024

2023
Guest Editorial Special Issue on Deep Learning for Earth and Planetary Geosciences.
IEEE Trans. Neural Networks Learn. Syst., July, 2023

Better Together: Ensemble Learning for Earthquake Detection and Phase Picking.
IEEE Trans. Geosci. Remote. Sens., 2023

Solving Seismic Wave Equations on Variable Velocity Models With Fourier Neural Operator.
IEEE Trans. Geosci. Remote. Sens., 2023

Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion.
IEEE Signal Process. Mag., 2023

On the Hidden Waves of Image.
CoRR, 2023

Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices.
CoRR, 2023

Does Full Waveform Inversion Benefit from Big Data?
CoRR, 2023

E<sup>FWI</sup>: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.
CoRR, 2023

HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation.
CoRR, 2023

Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness.
CoRR, 2023

Image is First-order Norm+Linear Autoregressive.
CoRR, 2023

Simplifying Full Waveform Inversion via Domain-Independent Self-Supervised Learning.
CoRR, 2023

E<sup>FWI</sup>: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Seismic Waveform Inversion Capability on Resource-Constrained Edge Devices.
J. Imaging, December, 2022

InversionNet3D: Efficient and Scalable Learning for 3-D Full-Waveform Inversion.
IEEE Trans. Geosci. Remote. Sens., 2022

Making Invisible Visible: Data-Driven Seismic Inversion With Spatio-Temporally Constrained Data Augmentation.
IEEE Trans. Geosci. Remote. Sens., 2022

Connect the Dots: In Situ 4-D Seismic Monitoring of CO<sub>2</sub> Storage With Spatio-Temporal CNNs.
IEEE Trans. Geosci. Remote. Sens., 2022

Multiscale Data-Driven Seismic Full-Waveform Inversion With Field Data Study.
IEEE Trans. Geosci. Remote. Sens., 2022

Physics-Consistent Data-Driven Waveform Inversion With Adaptive Data Augmentation.
IEEE Geosci. Remote. Sens. Lett., 2022

Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks.
CoRR, 2022

Self-Supervised Learning based on Heat Equation.
CoRR, 2022

Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator.
CoRR, 2022

Exploring Multi-physics with Extremely Weak Supervision.
CoRR, 2022

OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Intriguing Property of Geophysics Inversion.
Proceedings of the International Conference on Machine Learning, 2022

Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Quantum Neural Network Compression.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021
On the Robustness and Generalization of Deep Learning Driven Full Waveform Inversion.
CoRR, 2021

OpenFWI: Benchmark Seismic Datasets for Machine Learning-Based Full Waveform Inversion.
CoRR, 2021

Making Invisible Visible: Data-Driven Seismic Inversion with Physics-Informed Data Augmentation.
CoRR, 2021

Connect the Dots: In Situ 4D Seismic Monitoring of CO<sub>2</sub> Storage with Spatio-temporal CNNs.
CoRR, 2021

InversionNet3D: Efficient and Scalable Learning for 3D Full Waveform Inversion.
CoRR, 2021

2020
Data-Driven Seismic Waveform Inversion: A Study on the Robustness and Generalization.
IEEE Trans. Geosci. Remote. Sens., 2020

InversionNet: An Efficient and Accurate Data-Driven Full Waveform Inversion.
IEEE Trans. Computational Imaging, 2020

Data-driven Methods for Solving Large-scale Inverse Problems with Applications to Subsurface Imaging.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020

How Good Is Your Scientific Data Generative Model?
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

2019
DeepDetect: A Cascaded Region-Based Densely Connected Network for Seismic Event Detection.
IEEE Trans. Geosci. Remote. Sens., 2019

EarthquakeGen: Earthquake Simulation Using Generative Adversarial Networks.
CoRR, 2019

VelocityGAN: Subsurface Velocity Image Estimation Using Conditional Adversarial Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Adaptive Filtering for Event Recognition from Noisy Signal: an Application to Earthquake Detection.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Deep Learning Approach in Automatic Iceberg - Ship Detection with SAR Remote Sensing Data.
CoRR, 2018

Encoded Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery.
CoRR, 2018

Seismic-Net: A Deep Densely Connected Neural Network to Detect Seismic Events.
CoRR, 2018

2017
Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm.
CoRR, 2017

Cascaded Contextual Region-based Convolutional Neural Network for Event Detection from Time Series Signals: A Seismic Application.
CoRR, 2017

ADMM penalty parameter selection with krylov subspace recycling technique for sparse coding.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Multiple Queries of Information Retrieval Using Krylov Subspace Method.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
SEM resolution improvement using semi-blind restoration with hybrid L1-L2 regularization.
Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016

2012
Multisplitting for regularized least squares with Krylov subspace recycling.
Numer. Linear Algebra Appl., 2012

2010
UPRE method for total variation parameter selection.
Signal Process., 2010


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