Youzuo Lin

According to our database, Youzuo Lin authored at least 62 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography.

Luke Lozenski, Hanchen Wang, Fu Li, Mark A. Anastasio, Brendt Wohlberg, Youzuo Lin, Umberto Villa

IEEE Trans. Computational Imaging, 2024

On a Hidden Property in Computational Imaging.

Yinan Feng, Yinpeng Chen, Yueh Lee, Youzuo Lin

CoRR, 2024

Physics and Deep Learning in Computational Wave Imaging.

Youzuo Lin, Shihang Feng, James Theiler, Yinpeng Chen, Umberto Villa, Jing Rao, John James Greenhall, Cristian Pantea, Mark A. Anastasio, Brendt Wohlberg

CoRR, 2024

A Physics-guided Generative AI Toolkit for Geophysical Monitoring.

Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang

CoRR, 2024

APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy.

Yi Sheng, Hanchen Wang, Yipei Liu, Junhuan Yang, Weiwen Jiang, Youzuo Lin, Lei Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Auto-Linear Phenomenon in Subsurface Imaging.

Yinan Feng, Yinpeng Chen, Peng Jin, Shihang Feng, Youzuo Lin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing IoT Security with Asynchronous Federated Learning for Seismic Inversion.

Daniel Manu, Youzuo Lin, Jingjing Yao, Zhirun Li, Xiang Sun

Proceedings of the IEEE International Conference on Communications Workshops, 2024

Enhanced AI for Science using Diffusion-based Generative AI - A Case Study on Ultrasound Computing Tomography.

Junhuan Yang, Yi Sheng, Yuzhou Zhang, Hanchen Wang, Youzuo Lin, Lei Yang

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

Toward Fair Ultrasound Computing Tomography: Challenges, Solutions and Outlook.

Yi Sheng, Junhuan Yang, Youzuo Lin, Weiwen Jiang, Lei Yang

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

EdGeo: A Physics-guided Generative AI Toolkit for Geophysical Monitoring on Edge Devices.

Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

QuGeo: An End-to-end Quantum Learning Framework for Geoscience - A Case Study on Full-Waveform Inversion.

Weiwen Jiang, Youzuo Lin

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Guest Editorial Special Issue on Deep Learning for Earth and Planetary Geosciences.

Antonio R. Paiva, Weichang Li, Chris A. Mattmann, Youzuo Lin, Maarten V. de Hoop

IEEE Trans. Neural Networks Learn. Syst., July, 2023

Better Together: Ensemble Learning for Earthquake Detection and Phase Picking.

Congcong Yuan, Yiyu Ni, Youzuo Lin, Marine Denolle

IEEE Trans. Geosci. Remote. Sens., 2023

Solving Seismic Wave Equations on Variable Velocity Models With Fourier Neural Operator.

Bian Li, Hanchen Wang, Shihang Feng, Xiu Yang, Youzuo Lin

IEEE Trans. Geosci. Remote. Sens., 2023

Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion.

Youzuo Lin, James Theiler, Brendt Wohlberg

IEEE Signal Process. Mag., 2023

On the Hidden Waves of Image.

Yinpeng Chen, Dongdong Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin

CoRR, 2023

Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices.

Zhepeng Wang, Isaacshubhanand Putla, Weiwen Jiang, Youzuo Lin

CoRR, 2023

Does Full Waveform Inversion Benefit from Big Data?

Peng Jin, Yinan Feng, Shihang Feng, Hanchen Wang, Yinpeng Chen, Benjamin Consolvo, Zicheng Liu, Youzuo Lin

CoRR, 2023

E^FWI: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.

Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin

CoRR, 2023

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

Shengyu Chen, Shihang Feng, Yao Huang, Zhou Lei, Xiaowei Jia, Youzuo Lin, Estaben Rougier

CoRR, 2023

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

Min Zhu, Shihang Feng, Youzuo Lin, Lu Lu

CoRR, 2023

Image is First-order Norm+Linear Autoregressive.

Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin

CoRR, 2023

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

Yinan Feng, Yinpeng Chen, Peng Jin, Shihang Feng, Zicheng Liu, Youzuo Lin

CoRR, 2023

E^FWI: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.

Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin

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.

Zhirui Hu, Youzuo Lin, Qiang Guan, Weiwen Jiang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Seismic Waveform Inversion Capability on Resource-Constrained Edge Devices.

Daniel Manu, Petro Mushidi Tshakwanda, Youzuo Lin, Weiwen Jiang, Lei Yang

J. Imaging, December, 2022

InversionNet3D: Efficient and Scalable Learning for 3-D Full-Waveform Inversion.

Qili Zeng, Shihang Feng, Brendt Wohlberg, Youzuo Lin

IEEE Trans. Geosci. Remote. Sens., 2022

Making Invisible Visible: Data-Driven Seismic Inversion With Spatio-Temporally Constrained Data Augmentation.

Yuxin Yang, Xitong Zhang, Qiang Guan, Youzuo Lin

IEEE Trans. Geosci. Remote. Sens., 2022

Connect the Dots: In Situ 4-D Seismic Monitoring of CO₂ Storage With Spatio-Temporal CNNs.

Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill Symons, Youzuo Lin

IEEE Trans. Geosci. Remote. Sens., 2022

Multiscale Data-Driven Seismic Full-Waveform Inversion With Field Data Study.

Shihang Feng, Youzuo Lin, Brendt Wohlberg

IEEE Trans. Geosci. Remote. Sens., 2022

Physics-Consistent Data-Driven Waveform Inversion With Adaptive Data Augmentation.

Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg

IEEE Geosci. Remote. Sens. Lett., 2022

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

Yanhua Liu, Xitong Zhang, Ilya Tsvankin, Youzuo Lin

CoRR, 2022

Self-Supervised Learning based on Heat Equation.

Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin

CoRR, 2022

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

Bian Li, Hanchen Wang, Xiu Yang, Youzuo Lin

CoRR, 2022

Exploring Multi-physics with Extremely Weak Supervision.

Shihang Feng, Peng Jin, Yinpeng Chen, Xitong Zhang, Zicheng Liu, Youzuo Lin

CoRR, 2022

OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion.

Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin

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.

Yinan Feng, Yinpeng Chen, Shihang Feng, Peng Jin, Zicheng Liu, Youzuo Lin

Proceedings of the International Conference on Machine Learning, 2022

Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop.

Peng Jin, Xitong Zhang, Yinpeng Chen, Sharon Xiaolei Huang, Zicheng Liu, Youzuo Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Quantum Neural Network Compression.

Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang

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.

Chengyuan Deng, Youzuo Lin

CoRR, 2021

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

Chengyuan Deng, Yinan Feng, Shihang Feng, Peng Jin, Xitong Zhang, Qili Zeng, Youzuo Lin

CoRR, 2021

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

Yuxin Yang, Xitong Zhang, Qiang Guan, Youzuo Lin

CoRR, 2021

Connect the Dots: In Situ 4D Seismic Monitoring of CO₂ Storage with Spatio-temporal CNNs.

Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill Symons, Youzuo Lin

CoRR, 2021

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

Qili Zeng, Shihang Feng, Brendt Wohlberg, Youzuo Lin

CoRR, 2021

2020

Data-Driven Seismic Waveform Inversion: A Study on the Robustness and Generalization.

Zhongping Zhang, Youzuo Lin

IEEE Trans. Geosci. Remote. Sens., 2020

InversionNet: An Efficient and Accurate Data-Driven Full Waveform Inversion.

Yue Wu, Youzuo Lin

IEEE Trans. Computational Imaging, 2020

Data-driven Methods for Solving Large-scale Inverse Problems with Applications to Subsurface Imaging.

Youzuo Lin, James Theiler, Brendt Wohlberg, Yue Wu, Zhongping Zhang

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020

How Good Is Your Scientific Data Generative Model?

Yuxin Yang, Ben Gremillion, Xitong Zhang, Youzuo Lin, Brendt Wohlberg, Qiang Guan

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.

Yue Wu, Youzuo Lin, Zheng Zhou, David Chas Bolton, Ji Liu, Paul Johnson

IEEE Trans. Geosci. Remote. Sens., 2019

EarthquakeGen: Earthquake Simulation Using Generative Adversarial Networks.

Tiantong Wang, Youzuo Lin

CoRR, 2019

VelocityGAN: Subsurface Velocity Image Estimation Using Conditional Adversarial Networks.

Zhongping Zhang, Yue Wu, Zheng Zhou, Youzuo Lin

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.

Zhongping Zhang, Youzuo Lin, Zheng Zhou, Tianlang Chen

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

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

Cheng Zhan, Licheng Zhang, Zhenzhen Zhong, Sher Didi-Ooi, Youzuo Lin, Yunxi Zhang, Shujiao Huang, Chang-Chun Wang

CoRR, 2018

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

Panfeng Li, Youzuo Lin, Emily Schultz-Fellenz

CoRR, 2018

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

Yue Wu, Youzuo Lin, Zheng Zhou, Andrew Delorey

CoRR, 2018

2017

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

Youzuo Lin, Shusen Wang, Jayaraman J. Thiagarajan, George Guthrie, David Coblentz

CoRR, 2017

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

Yue Wu, Youzuo Lin, Zheng Zhou, David Chas Bolton, Ji Liu, Paul Johnson

CoRR, 2017

ADMM penalty parameter selection with krylov subspace recycling technique for sparse coding.

Youzuo Lin, Brendt Wohlberg, Velimir V. Vesselinov

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Multiple Queries of Information Retrieval Using Krylov Subspace Method.

Youzuo Lin

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.

Youzuo Lin, Yudhishthir Kandel, Matthew Zotta, Eric Lifshin

Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016

2012

Multisplitting for regularized least squares with Krylov subspace recycling.

Rosemary A. Renaut, Youzuo Lin, Hongbin Guo

Numer. Linear Algebra Appl., 2012

2010

UPRE method for total variation parameter selection.

Youzuo Lin, Brendt Wohlberg, Hongbin Guo

Signal Process., 2010