World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
4129
World Ranking
14064
National Ranking
5579

Overview

Yifei Lou is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a strong focus on specialized subfields and topics.

The main areas of study for Yifei Lou include:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Artificial Intelligence
  • Mathematical Physics
  • Radiology, Nuclear Medicine and Imaging

Key topics addressed in their research are:

  • Sparse and Compressive Sensing Techniques
  • Image and Signal Denoising Methods
  • Numerical methods in inverse problems
  • Medical Image Segmentation Techniques
  • Medical Imaging Techniques and Applications
  • Photoacoustic and Ultrasonic Imaging
  • Probabilistic and Robust Engineering Design

Yifei Lou has published extensively, contributing to numerous respected journals and venues. Their frequent outlets for publication include:

  • arXiv (Cornell University)
  • Journal of Scientific Computing
  • SIAM Journal on Imaging Sciences
  • Inverse Problems
  • Inverse Problems and Imaging

Notable recent papers authored or co-authored by Yifei Lou include:

  • "Accelerated Schemes for the $L_1/L_2$ Minimization," 2020, IEEE Transactions on Signal Processing
  • "Non-blind and Blind Deconvolution Under Poisson Noise Using Fractional-Order Total Variation," 2020, Journal of Mathematical Imaging and Vision
  • "Limited-Angle CT Reconstruction via the $L_1/L_2$ Minimization," 2021, SIAM Journal on Imaging Sciences
  • "Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors," 2020, IEEE Transactions on Medical Imaging

Collaborations form an important aspect of their research output, with frequent co-authors including:

  • Kevin Bui
  • Fredrick Park
  • Jack Xin
  • Chao Wang
  • Mengqi Hu

Beyond journal articles, Yifei Lou has contributed to the field through book publications. One such work is titled Advances in Data Science, published in 2021 by Springer International Publishing.

Best Publications

  • Minimization of $ll_{1-2}$ for Compressed Sensing

    Penghang Yin;Yifei Lou;Q. I. He;Jack Xin

  • Image Recovery via Nonlocal Operators

    Yifei Lou;Xiaoqun Zhang;Stanley Osher;Andrea Bertozzi

  • GPU-based fast cone beam CT reconstruction from undersampled and noisy projection data via total variation

    Xun Jia;Yifei Lou;Ruijiang Li;William Y. Song

  • GPU-based iterative cone-beam CT reconstruction using tight frame regularization

    Xun Jia;Bin Dong;Yifei Lou;Steve B. Jiang

  • A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing

    Yifei Lou;Tieyong Zeng;Stanley J. Osher;Jack Xin

  • Fast L1-L2 minimization via a proximal operator

    Yifei Lou;Ming Yan

  • A Method for Finding Structured Sparse Solutions to Nonnegative Least Squares Problems with Applications

    Ernie Esser;Yifei Lou;Jack Xin

  • Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of L 1 and L 2

    Yifei Lou;Penghang Yin;Qi He;Jack Xin

  • A note on multi-image denoising

    Toni Buades;Yifei Lou;J.M. Morel;Zhongwei Tang

  • A Scale-Invariant Approach for Sparse Signal Recovery

    Yaghoub Rahimi;Chao Wang;Hongbo Dong;Yifei Lou

  • Four-dimensional cone beam CT reconstruction and enhancement using a temporal nonlocal means method

    Xun Jia;Zhen Tian;Yifei Lou;Jan Jakob Sonke

  • Direct Sparse Deblurring

    Yifei Lou;Andrea L. Bertozzi;Stefano Soatto

  • Video stabilization of atmospheric turbulence distortion

    Yifei Lou;Sung Ha Kang;Stefano Soatto;Andrea L. Bertozzi

  • GPU-based fast low-dose cone beam CT reconstruction via total variation

    Xun Jia;Yifei Lou;John Lewis;Ruijiang Li

  • Truncated $l_{1-2}$ Models for Sparse Recovery and Rank Minimization

    Tian-Hui Ma;Yifei Lou;Ting-Zhu Huang

  • Low-dose 4DCT reconstruction via temporal nonlocal means.

    Zhen Tian;Xun Jia;Bin Dong;Yifei Lou

  • Total Variation--Based Phase Retrieval for Poisson Noise Removal

    Huibin Chang;Yifei Lou;Yuping Duan;Stefano Marchesini

  • 4D computed tomography reconstruction from few-projection data via temporal non-local regularization

    Xun Jia;Yifei Lou;Bin Dong;Zhen Tian

  • Four-dimensional Cone Beam CT Reconstruction and Enhancement using a Temporal Non-Local Means Method

    Xun Jia;Zhen Tian;Yifei Lou;Jan-Jakob Sonke

  • Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization

    Huibin Chang;Yifei Lou;Michael K. Ng;Tieyong Zeng

  • Non-blind and Blind Deconvolution Under Poisson Noise Using Fractional-Order Total Variation

    Mujibur Rahman Chowdhury;Jing Qin;Yifei Lou

  • Accelerated Schemes for the $L_1/L_2$ Minimization

    Chao Wang;Ming Yan;Yaghoub Rahimi;Yifei Lou

  • Computational Aspects of Constrained L1-L2 Minimization for Compressive Sensing

    Yifei Lou;Stanley J. Osher;Jack Xin

Frequent Co-Authors

Steve B Jiang
Steve B Jiang The University of Texas Southwestern Medical Center
Andrea L. Bertozzi
Andrea L. Bertozzi University of California, Los Angeles
Tieyong Zeng
Tieyong Zeng Chinese University of Hong Kong
Stefano Soatto
Stefano Soatto University of California, Los Angeles
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
James G. Nagy
James G. Nagy Emory University
Stanley Osher
Stanley Osher University of California, Los Angeles
Allen Tannenbaum
Allen Tannenbaum Stony Brook University
Patrick L. Purdon
Patrick L. Purdon Harvard University
Li Wang
Li Wang National Cheng Kung University

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