Yifei Lou

Orcid: 0000-0003-1973-5704

Affiliations:
  • University of California Irvine, CA, USA
  • University of Texas at Dallas, Richardson, TX, USA


According to our database1, Yifei Lou authored at least 65 papers between 2007 and 2024.

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Bibliography

2024
Poissonian Image Restoration Via the L<sub>1/L<sub>2</sub></sub>-Based Minimization.
J. Sci. Comput., October, 2024

A Generalized Formulation for Group Selection via ADMM.
J. Sci. Comput., July, 2024

A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion.
SIAM J. Imaging Sci., March, 2024

Time-Varying Graph Signal Recovery Using High-Order Smoothness and Adaptive Low-rankness.
CoRR, 2024

A low-rank tensor reconstruction and denoising method for enhancing CNN performance.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2024

Uncertainty-aware Graph-based Hyperspectral Image Classification.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Low-Rank Tensor Data Reconstruction and Denoising via ADMM: Algorithm and Convergence Analysis.
J. Sci. Comput., November, 2023

Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum.
J. Sci. Comput., April, 2023

Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2023

Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise.
Frontiers Comput. Sci., 2023

Minimizing Quotient Regularization Model.
CoRR, 2023

Efficient Image Segmentation Framework with Difference of Anisotropic and Isotropic Total Variation for Blur and Poisson Noise Removal.
CoRR, 2023

Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising.
Proceedings of the IEEE International Conference on Image Processing, 2023

Non-Convex Approaches for Low-Rank Tensor Completion under Tubal Sampling.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A General Framework of Rotational Sparse Approximation in Uncertainty Quantification.
SIAM/ASA J. Uncertain. Quantification, 2022

A Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation.
CoRR, 2022

Combining Dynamic Mode Decomposition and Difference-in-Differences in an Analysis of At-Risk Youth.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors.
IEEE Trans. Medical Imaging, 2021

Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization.
IEEE Trans. Geosci. Remote. Sens., 2021

Iteratively Reweighted Group Lasso Based on Log-Composite Regularization.
SIAM J. Sci. Comput., 2021

Limited-Angle CT Reconstruction via the L<sub>1/L<sub>2</sub></sub> Minimization.
SIAM J. Imaging Sci., 2021

A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation.
SIAM J. Imaging Sci., 2021

A Novel Regularization Based on the Error Function for Sparse Recovery.
J. Sci. Comput., 2021

Implicit Regularization Effects of the Sobolev Norms in Image Processing.
CoRR, 2021

Minimizing L1 over L2 norms on the gradient.
CoRR, 2021

2020
Accelerated Schemes for the $L_1/L_2$ Minimization.
IEEE Trans. Signal Process., 2020

Non-blind and Blind Deconvolution Under Poisson Noise Using Fractional-Order Total Variation.
J. Math. Imaging Vis., 2020

Limited-angle CT reconstruction via the L1/L2 minimization.
CoRR, 2020

2019
A Scale-Invariant Approach for Sparse Signal Recovery.
SIAM J. Sci. Comput., 2019

Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior.
CoRR, 2019

Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness.
CoRR, 2019

Fast Blind Hyperspectral Unmixing Based On Graph Laplacian.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

L1-2 Regularized Logistic Regression.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm.
SIAM J. Imaging Sci., 2018

Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm.
SIAM J. Imaging Sci., 2018

Total Variation-Based Phase Retrieval for Poisson Noise Removal.
SIAM J. Imaging Sci., 2018

Fast L1-L2 Minimization via a Proximal Operator.
J. Sci. Comput., 2018

Empirical Studies on Phase Retrieval.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization.
Proceedings of the Brain Informatics - International Conference, 2018

2017
Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination.
IEEE Trans. Big Data, 2017

Truncated l<sub>1-2</sub> Models for Sparse Recovery and Rank Minimization.
SIAM J. Imaging Sci., 2017

Image deblurring with an inaccurate blur kernel using a group-based low-rank image prior.
Inf. Sci., 2017

Group-based truncated l1-2 model for image inpainting.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization.
SIAM J. Sci. Comput., 2016

Point Source Super-resolution Via Non-convex L<sub>1</sub> Based Methods.
J. Sci. Comput., 2016

Variational Multiplicative Noise Removal by DC Programming.
J. Sci. Comput., 2016

Fast L<sub>1</sub>-L<sub>2</sub> Minimization via a Proximal Operator.
CoRR, 2016

A weighted difference of anisotropic and isotropic total variation for relaxed Mumford-Shah image segmentation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Minimization of ℓ<sub>1-2</sub> for Compressed Sensing.
SIAM J. Sci. Comput., 2015

A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing.
SIAM J. Imaging Sci., 2015

Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of L<sub>1</sub> and L<sub>2</sub>.
J. Sci. Comput., 2015

Computational Aspects of Constrained L 1-L 2 Minimization for Compressive Sensing.
Proceedings of the Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, 2015

2014
Partially Blind Deblurring of Barcode from Out-of-Focus Blur.
SIAM J. Imaging Sci., 2014

A Linear Systems Approach to Imaging Through Turbulence.
J. Math. Imaging Vis., 2014

2013
Multimodal Deformable Registration of Traumatic Brain Injury MR Volumes via the Bhattacharyya Distance.
IEEE Trans. Biomed. Eng., 2013

A Method for Finding Structured Sparse Solutions to Nonnegative Least Squares Problems with Applications.
SIAM J. Imaging Sci., 2013

Joint CT/CBCT deformable registration and CBCT enhancement for cancer radiotherapy.
Medical Image Anal., 2013

2011
Direct Sparse Deblurring.
J. Math. Imaging Vis., 2011

2010
Image Recovery via Nonlocal Operators.
J. Sci. Comput., 2010

4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009
A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Nonlocal Similarity Image Filtering.
Proceedings of the Image Analysis and Processing, 2009

2007
Autocalibration and Uncalibrated Reconstruction of Shape from Defocus.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007


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