UPRE method for total variation parameter selection. - Youzuo Lin; Brendt Wohlberg; Hongbin Guo (Signal Process., 2010)

Multisplitting for regularized least squares with Krylov subspace recycling. - Rosemary A. Renaut; Youzuo Lin; Hongbin Guo (Numer. Linear Algebra Appl., 2012)

SEM resolution improvement using semi-blind restoration with hybrid L1-L2 regularization. - Youzuo Lin; Yudhishthir Kandel; Matthew Zotta; Eric Lifshin (SSIAI, 2016)

Multiple Queries of Information Retrieval Using Krylov Subspace Method. - Youzuo Lin (ICDM Workshops, 2017)

ADMM penalty parameter selection with krylov subspace recycling technique for sparse coding. - Youzuo Lin; Brendt Wohlberg; Velimir V. Vesselinov (ICIP, 2017)

Cascaded Contextual Region-based Convolutional Neural Network for Event Detection from Time Series Signals: A Seismic Application. - Yue Wu 009; Youzuo Lin; Zheng Zhou; David Chas Bolton; Ji Liu; Paul Johnson 002 (CoRR, 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)

Seismic-Net: A Deep Densely Connected Neural Network to Detect Seismic Events. - Yue Wu 009; Youzuo Lin; Zheng Zhou; Andrew Delorey (CoRR, 2018)

Encoded Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery. - Panfeng Li; Youzuo Lin; Emily Schultz-Fellenz (CoRR, 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)

Adaptive Filtering for Event Recognition from Noisy Signal: an Application to Earthquake Detection. - Zhongping Zhang; Youzuo Lin; Zheng Zhou; Tianlang Chen (ICASSP, 2019)

VelocityGAN: Subsurface Velocity Image Estimation Using Conditional Adversarial Networks. - Zhongping Zhang; Yue Wu 009; Zheng Zhou; Youzuo Lin (WACV, 2019)

EarthquakeGen: Earthquake Simulation Using Generative Adversarial Networks. - Tiantong Wang; Youzuo Lin (CoRR, 2019)

DeepDetect: A Cascaded Region-Based Densely Connected Network for Seismic Event Detection. - Yue Wu 009; Youzuo Lin; Zheng Zhou; David Chas Bolton; Ji Liu; Paul Johnson 002 (IEEE Trans. Geosci. Remote. Sens., 2019)

How Good Is Your Scientific Data Generative Model? - Yuxin Yang 001; Ben Gremillion; Xitong Zhang; Youzuo Lin; Brendt Wohlberg; Qiang Guan (MLHPC/AI4S@SC, 2020)

Data-driven Methods for Solving Large-scale Inverse Problems with Applications to Subsurface Imaging. - Youzuo Lin; James Theiler; Brendt Wohlberg; Yue Wu 009; Zhongping Zhang (SSIAI, 2020)

InversionNet: An Efficient and Accurate Data-Driven Full Waveform Inversion. - Yue Wu 009; Youzuo Lin (IEEE Trans. Computational Imaging, 2020)

Data-Driven Seismic Waveform Inversion: A Study on the Robustness and Generalization. - Zhongping Zhang; Youzuo Lin (IEEE Trans. Geosci. Remote. Sens., 2020)

InversionNet3D: Efficient and Scalable Learning for 3D Full Waveform Inversion. - Qili Zeng; Shihang Feng; Brendt Wohlberg; 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)

Making Invisible Visible: Data-Driven Seismic Inversion with Physics-Informed Data Augmentation. - Yuxin Yang 001; Xitong Zhang; Qiang Guan; 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)

On the Robustness and Generalization of Deep Learning Driven Full Waveform Inversion. - Chengyuan Deng; Youzuo Lin (CoRR, 2021)

Quantum Neural Network Compression. - Zhirui Hu; Peiyan Dong; Zhepeng Wang 001; Youzuo Lin; Yanzhi Wang; Weiwen Jiang (ICCAD, 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 001; Youzuo Lin (ICLR, 2022)

An Intriguing Property of Geophysics Inversion. - Yinan Feng; Yinpeng Chen; Shihang Feng; Peng Jin; Zicheng Liu 001; Youzuo Lin (ICML, 2022)

OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion. - Chengyuan Deng; Shihang Feng; Hanchen Wang 003; Xitong Zhang; Peng Jin; Yinan Feng; Qili Zeng; Yinpeng Chen; Youzuo Lin (NeurIPS, 2022)

Exploring Multi-physics with Extremely Weak Supervision. - Shihang Feng; Peng Jin; Yinpeng Chen; Xitong Zhang; Zicheng Liu 001; Youzuo Lin (CoRR, 2022)

Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator. - Bian Li; Hanchen Wang 003; Xiu Yang; Youzuo Lin (CoRR, 2022)

Self-Supervised Learning based on Heat Equation. - Yinpeng Chen; Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Lu Yuan; Zicheng Liu 001; Youzuo Lin (CoRR, 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)

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)

Multiscale Data-Driven Seismic Full-Waveform Inversion With Field Data Study. - Shihang Feng; Youzuo Lin; Brendt Wohlberg (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)

Making Invisible Visible: Data-Driven Seismic Inversion With Spatio-Temporally Constrained Data Augmentation. - Yuxin Yang 001; Xitong Zhang; Qiang Guan; Youzuo Lin (IEEE Trans. Geosci. Remote. Sens., 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)

Seismic Waveform Inversion Capability on Resource-Constrained Edge Devices. - Daniel Manu; Petro Mushidi Tshakwanda; Youzuo Lin; Weiwen Jiang; Lei Yang 018 (J. Imaging, 2022)

Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network. - Zhirui Hu; Youzuo Lin; Qiang Guan; Weiwen Jiang (DAC, 2023)

EFWI: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties. - Shihang Feng; Hanchen Wang 003; Chengyuan Deng; Yinan Feng; Yanhua Liu; Min Zhu; Peng Jin; Yinpeng Chen; Youzuo Lin (NeurIPS, 2023)

Simplifying Full Waveform Inversion via Domain-Independent Self-Supervised Learning. - Yinan Feng; Yinpeng Chen; Peng Jin; Shihang Feng; Zicheng Liu 001; Youzuo Lin (CoRR, 2023)

Image is First-order Norm+Linear Autoregressive. - Yinpeng Chen; Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Lu Yuan; Zicheng Liu 001; Youzuo Lin (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)

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)

EFWI: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties. - Shihang Feng; Hanchen Wang 003; Chengyuan Deng; Yinan Feng; Yanhua Liu; Min Zhu; Peng Jin; Yinpeng Chen; Youzuo Lin (CoRR, 2023)

Does Full Waveform Inversion Benefit from Big Data? - Peng Jin; Yinan Feng; Shihang Feng; Hanchen Wang 003; Yinpeng Chen; Benjamin Consolvo; Zicheng Liu 001; Youzuo Lin (CoRR, 2023)

Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices. - Zhepeng Wang 001; Isaacshubhanand Putla; Weiwen Jiang; Youzuo Lin (CoRR, 2023)

On the Hidden Waves of Image. - Yinpeng Chen; Dongdong Chen 001; Xiyang Dai; Mengchen Liu; Lu Yuan; Zicheng Liu 001; Youzuo Lin (CoRR, 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)

Solving Seismic Wave Equations on Variable Velocity Models With Fourier Neural Operator. - Bian Li; Hanchen Wang 003; Shihang Feng; Xiu Yang; Youzuo Lin (IEEE Trans. Geosci. Remote. Sens., 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)

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., 2023)

Tutorial on Novel Toolkits toward AI for Science on Resource-Constrained Computing Systems. - Yi Sheng; Junhuan Yang; Hanchen Wang 003; Yinan Feng; Yinpeng Chen; Xiaolong Guo; Youzuo Lin; Weiwen Jiang; Lei Yang 018 (CODES+ISSS, 2024)

QuGeo: An End-to-end Quantum Learning Framework for Geoscience - A Case Study on Full-Waveform Inversion. - Weiwen Jiang; Youzuo Lin (DAC, 2024)

EdGeo: A Physics-guided Generative AI Toolkit for Geophysical Monitoring on Edge Devices. - Junhuan Yang; Hanchen Wang 003; Yi Sheng; Youzuo Lin; Lei Yang 018 (DAC, 2024)

Toward Fair Ultrasound Computing Tomography: Challenges, Solutions and Outlook. - Yi Sheng; Junhuan Yang; Youzuo Lin; Weiwen Jiang; Lei Yang 018 (ACM Great Lakes Symposium on VLSI, 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 003; Youzuo Lin; Lei Yang 018 (ACM Great Lakes Symposium on VLSI, 2024)

Enhancing IoT Security with Asynchronous Federated Learning for Seismic Inversion. - Daniel Manu; Youzuo Lin; Jingjing Yao; Zhirun Li; Xiang Sun 001 (ICC Workshops, 2024)

Auto-Linear Phenomenon in Subsurface Imaging. - Yinan Feng; Yinpeng Chen; Peng Jin; Shihang Feng; Youzuo Lin (ICML, 2024)

APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy. - Yi Sheng; Hanchen Wang 003; Yipei Liu; Junhuan Yang; Weiwen Jiang; Youzuo Lin; Lei Yang 018 (MICCAI (7), 2024)

Towards a Quantum Algorithm for the Incompressible Nonlinear Navier-Stokes Equations. - Muralikrishnan Gopalakrishnan Meena; Yu Zhang; Weiwen Jiang; Youzuo Lin; Stefanie Günther; Xinfeng Gao (QCE, 2024)

A Physics-guided Generative AI Toolkit for Geophysical Monitoring. - Junhuan Yang; Hanchen Wang 003; Yi Sheng; Youzuo Lin; Lei Yang 018 (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)

On a Hidden Property in Computational Imaging. - Yinan Feng; Yinpeng Chen; Yueh Lee; Youzuo Lin (CoRR, 2024)

Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography. - Luke Lozenski; Hanchen Wang 003; Fu Li; Mark A. Anastasio; Brendt Wohlberg; Youzuo Lin; Umberto Villa (IEEE Trans. Computational Imaging, 2024)

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset. - Junhuan Yang; Yuzhou Zhang; Yi Sheng; Youzuo Lin; Lei Yang 018 (AAAI, 2025)

A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations. - Naveen Gupta; Medha Sawhney; Arka Daw; Youzuo Lin; Anuj Karpatne (ICLR, 2025)

High-order implicit Runge-Kutta Fourier pseudospectral methods for wave equations. - Ian T. Morgan; Youzuo Lin; Songting Luo (Comput. Math. Appl., 2025)

OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography. - Hanchen Wang 008; Yixuan Wu; Yinan Feng; Peng Jin; Shihang Feng; Yiming Mao 014; James Wiskin; Baris Turkbey; Peter A. Pinto; Bradford J. Wood; Songting Luo; Yinpeng Chen; et al. (CoRR, 2025)