Autocalibration and Uncalibrated Reconstruction of Shape from Defocus. - Yifei Lou; Paolo Favaro; Andrea L. Bertozzi; Stefano Soatto (CVPR, 2007)

Nonlocal Similarity Image Filtering. - Yifei Lou; Paolo Favaro; Stefano Soatto; Andrea L. Bertozzi (ICIAP, 2009)

A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis. - Xun Jia; Yifei Lou; Ruijiang Li; Xuejun Gu; John Levis; Steve B. Jiang (ICMLA, 2009)

4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization. - Xun Jia; Yifei Lou; Bin Dong 001; Zhen Tian; Steve B. Jiang (MICCAI (1), 2010)

Image Recovery via Nonlocal Operators. - Yifei Lou; Xiaoqun Zhang; Stanley J. Osher; Andrea L. Bertozzi (J. Sci. Comput., 2010)

Direct Sparse Deblurring. - Yifei Lou; Andrea L. Bertozzi; Stefano Soatto (J. Math. Imaging Vis., 2011)

Joint CT/CBCT deformable registration and CBCT enhancement for cancer radiotherapy. - Yifei Lou; Tianye Niu; Xun Jia; Patricio A. Vela; Lei Zhu 001; Allen R. Tannenbaum (Medical Image Anal., 2013)

A Method for Finding Structured Sparse Solutions to Nonnegative Least Squares Problems with Applications. - Ernie Esser; Yifei Lou; Jack Xin (SIAM J. Imaging Sci., 2013)

Multimodal Deformable Registration of Traumatic Brain Injury MR Volumes via the Bhattacharyya Distance. - Yifei Lou; Andrei Irimia; Patricio A. Vela; Micah C. Chambers; John D. Van Horn; Paul M. Vespa; Allen R. Tannenbaum (IEEE Trans. Biomed. Eng., 2013)

A Linear Systems Approach to Imaging Through Turbulence. - Mario Micheli; Yifei Lou; Stefano Soatto; Andrea L. Bertozzi (J. Math. Imaging Vis., 2014)

Partially Blind Deblurring of Barcode from Out-of-Focus Blur. - Yifei Lou; Ernie Esser; Hongkai Zhao; Jack Xin (SIAM J. Imaging Sci., 2014)

Computational Aspects of Constrained L 1-L 2 Minimization for Compressive Sensing. - Yifei Lou; Stanley J. Osher; Jack Xin (MCO (1), 2015)

Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of L1 and L2. - Yifei Lou; Penghang Yin; Qi He; Jack Xin (J. Sci. Comput., 2015)

A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing. - Yifei Lou; Tieyong Zeng; Stanley J. Osher; Jack Xin (SIAM J. Imaging Sci., 2015)

Minimization of ℓ1-2 for Compressed Sensing. - Penghang Yin; Yifei Lou; Qi He; Jack Xin (SIAM J. Sci. Comput., 2015)

A weighted difference of anisotropic and isotropic total variation for relaxed Mumford-Shah image segmentation. - Fredrick Park; Yifei Lou; Jack Xin (ICIP, 2016)

Fast L1-L2 Minimization via a Proximal Operator. - Yifei Lou; Ming Yan 006 (CoRR, 2016)

Variational Multiplicative Noise Removal by DC Programming. - Zhi Li 080; Yifei Lou; Tieyong Zeng (J. Sci. Comput., 2016)

Point Source Super-resolution Via Non-convex L1 Based Methods. - Yifei Lou; Penghang Yin; Jack Xin (J. Sci. Comput., 2016)

Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization. - Huibin Chang; Yifei Lou; Michael K. Ng 001; Tieyong Zeng (SIAM J. Sci. Comput., 2016)

Group-based truncated l1-2 model for image inpainting. - Tian-Hui Ma; Yifei Lou; Ting-Zhu Huang; Xi-Le Zhao (ICIP, 2017)

Image deblurring with an inaccurate blur kernel using a group-based low-rank image prior. - Tian-Hui Ma; Ting-Zhu Huang; Xi-Le Zhao; Yifei Lou (Inf. Sci., 2017)

Truncated l1-2 Models for Sparse Recovery and Rank Minimization. - Tian-Hui Ma; Yifei Lou; Ting-Zhu Huang (SIAM J. Imaging Sci., 2017)

Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination. - Feng Liu 011; Jay M. Rosenberger; Yifei Lou; Rahilsadat Hosseini; Jianzhong Su; Shouyi Wang (IEEE Trans. Big Data, 2017)

Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization. - Feng Liu 011; Shouyi Wang; Jing Qin 003; Yifei Lou; Jay M. Rosenberger (BI, 2018)

Empirical Studies on Phase Retrieval. - Russell Hart; Huibin Chang; Yifei Lou (IVMSP, 2018)

Fast L1-L2 Minimization via a Proximal Operator. - Yifei Lou; Ming Yan 006 (J. Sci. Comput., 2018)

Total Variation-Based Phase Retrieval for Poisson Noise Removal. - Huibin Chang; Yifei Lou; Yuping Duan; Stefano Marchesini (SIAM J. Imaging Sci., 2018)

Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm. - Huibin Chang; Stefano Marchesini; Yifei Lou; Tieyong Zeng (SIAM J. Imaging Sci., 2018)

Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm. - Bin Li 047; Chenyang Shen; Yujie Chi; Ming Yang; Yifei Lou; Linghong Zhou; Xun Jia (SIAM J. Imaging Sci., 2018)

L1-2 Regularized Logistic Regression. - Jing Qin 003; Yifei Lou (ACSSC, 2019)

A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection. - Samiha Rouf; Chenyang Shen; Yan Cao; Conner Davis; Xun Jia; Yifei Lou (MIUA, 2019)

Fast Blind Hyperspectral Unmixing Based On Graph Laplacian. - Jing Qin 003; Harlin Lee; Jocelyn T. Chi; Yifei Lou; Jocelyn Chanussot; Andrea L. Bertozzi (WHISPERS, 2019)

Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness. - Wing Hong Wong; Yifei Lou; Tieyong Zeng (CoRR, 2019)

Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior. - Feng Liu 011; Li Wang 033; Yifei Lou; Ren-Cang Li; Patrick L. Purdon (CoRR, 2019)

A Scale-Invariant Approach for Sparse Signal Recovery. - Yaghoub Rahimi; Chao Wang 067; Hongbo Dong 001; Yifei Lou (SIAM J. Sci. Comput., 2019)

Limited-angle CT reconstruction via the L1/L2 minimization. - Chao Wang 067; Min Tao; James G. Nagy; Yifei Lou (CoRR, 2020)

Non-blind and Blind Deconvolution Under Poisson Noise Using Fractional-Order Total Variation. - Mujibur Rahman Chowdhury; Jing Qin 003; Yifei Lou (J. Math. Imaging Vis., 2020)

Accelerated Schemes for the $L_1/L_2$ Minimization. - Chao Wang 067; Ming Yan 006; Yaghoub Rahimi; Yifei Lou (IEEE Trans. Signal Process., 2020)

Minimizing L1 over L2 norms on the gradient. - Chao Wang 067; Min Tao; Chen-Nee Chuah; James G. Nagy; Yifei Lou (CoRR, 2021)

Implicit Regularization Effects of the Sobolev Norms in Image Processing. - Yunan Yang; Jingwei Hu; Yifei Lou (CoRR, 2021)

A Novel Regularization Based on the Error Function for Sparse Recovery. - Weihong Guo 002; Yifei Lou; Jing Qin 003; Ming Yan 006 (J. Sci. Comput., 2021)

A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation. - Kevin Bui; Fredrick Park; Yifei Lou; Jack Xin (SIAM J. Imaging Sci., 2021)

Limited-Angle CT Reconstruction via the L1/L2 Minimization. - Chao Wang 067; Min Tao; James G. Nagy; Yifei Lou (SIAM J. Imaging Sci., 2021)

Iteratively Reweighted Group Lasso Based on Log-Composite Regularization. - Chengyu Ke; Miju Ahn; Sunyoung Shin; Yifei Lou (SIAM J. Sci. Comput., 2021)

Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization. - Jing Qin 003; Harlin Lee; Jocelyn T. Chi; Lucas Drumetz; Jocelyn Chanussot; Yifei Lou; Andrea L. Bertozzi (IEEE Trans. Geosci. Remote. Sens., 2021)

Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors. - Feng Liu 011; Li Wang 033; Yifei Lou; Ren-Cang Li; Patrick L. Purdon (IEEE Trans. Medical Imaging, 2021)

Combining Dynamic Mode Decomposition and Difference-in-Differences in an Analysis of At-Risk Youth. - Marc Andrew Choi; Siyu Huang; Hengyuan Qi; Marco Scialanga; Emerson McMullen; Axel Sanchez Moreno; Yifei Lou; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE Big Data, 2022)

A Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation. - Kevin Bui; Yifei Lou; Fredrick Park; Jack Xin (CoRR, 2022)

A General Framework of Rotational Sparse Approximation in Uncertainty Quantification. - Mengqi Hu; Yifei Lou; Xiu Yang (SIAM/ASA J. Uncertain. Quantification, 2022)

Non-Convex Approaches for Low-Rank Tensor Completion under Tubal Sampling. - Zheng Tan; Longxiu Huang; HanQin Cai; Yifei Lou (ICASSP, 2023)

Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising. - Kevin Bui; Yifei Lou; Fredrick Park; Jack Xin (ICIP, 2023)

Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization. - Russell Hart; Linlin Yu; Yifei Lou; Feng Chen 001 (NeurIPS, 2023)

Efficient Image Segmentation Framework with Difference of Anisotropic and Isotropic Total Variation for Blur and Poisson Noise Removal. - Kevin Bui; Yifei Lou; Fredrick Park; Jack Xin (CoRR, 2023)

Minimizing Quotient Regularization Model. - Chao Wang 067; Jean-François Aujol; Guy Gilboa; Yifei Lou (CoRR, 2023)

Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise. - Kevin Bui; Yifei Lou; Fredrick Park; Jack Xin (Frontiers Comput. Sci., 2023)

Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing. - Bohan Chen; Yifei Lou; Andrea L. Bertozzi; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2023)

Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum. - Mengqi Hu; Yifei Lou; Bao Wang 001; Ming Yan 006; Xiu Yang; Qiang Ye 003 (J. Sci. Comput., 2023)

Low-Rank Tensor Data Reconstruction and Denoising via ADMM: Algorithm and Convergence Analysis. - Jonathan Popa; Yifei Lou; Susan E. Minkoff (J. Sci. Comput., 2023)

Uncertainty-aware Graph-based Hyperspectral Image Classification. - Linlin Yu; Yifei Lou; Feng Chen 001 (ICLR, 2024)

A low-rank tensor reconstruction and denoising method for enhancing CNN performance. - Rohin Harikumar; Susan E. Minkoff; Yifei Lou (SSIAI, 2024)

Time-Varying Graph Signal Recovery Using High-Order Smoothness and Adaptive Low-rankness. - Weihong Guo 002; Yifei Lou; Jing Qin 003; Ming Yan 006 (CoRR, 2024)

A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion. - Huiwen Zheng; Yifei Lou; Guoliang Tian; Chao Wang 067 (SIAM J. Imaging Sci., 2024)

A Generalized Formulation for Group Selection via ADMM. - Chengyu Ke; Sunyoung Shin; Yifei Lou; Miju Ahn (J. Sci. Comput., 2024)

Poissonian Image Restoration Via the L1/L2-Based Minimization. - Mujibur Rahman Chowdhury; Chao Wang 067; Yifei Lou (J. Sci. Comput., 2024)

Evidential Uncertainty Probes for Graph Neural Networks. - Linlin Yu; Kangshuo Li; Pritom Kumar Saha; Yifei Lou; Feng Chen 001 (AISTATS, 2025)

Noisy Low-Rank Matrix Completion via Transformed L1 Regularization and its Theoretical Properties. - Kun Zhao; Jiayi Wang; Yifei Lou (AISTATS, 2025)

A General Framework for Group Sparsity in Hyperspectral Unmixing Using Endmember Bundles. - Gokul Bhusal; Yifei Lou; Cristina Garcia-Cardona; Ekaterina Merkurjev (CoRR, 2025)

Tensor Robust Principal Component Analysis via the Tensor Nuclear Over Frobenius Norm. - Huiwen Zheng; Yifei Lou; Guoliang Tian; Chao Wang 067 (J. Sci. Comput., 2025)

Tensor Dynamic Mode Decomposition. - Ziqin He; Mengqi Hu; Yifei Lou; Can Chen 003 (CoRR, 2025)