Faculty

Institution

Unit

Venue

Yuesheng Xu

Professor Emeritus

Syracuse University

Affiliations

College of Arts and Sciences

Mathematics

Yuesheng Xu is currently serving as a College Of Arts And Sciences Professor Emeritus at Syracuse University.

Honors

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Experiences

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Education

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Yuesheng Xu

Syracuse University

Professor Emeritus

You can click a keyword to filter the displayed items

applied mathematics numerical analysis computer science machine learning medical imaging computational mathematics mathematics scientific computing data science image reconstruction computational imaging biomedical imaging inverse problems computer vision optical engineering mathematical analysis wavelet theory mathematical optimization kernel methods harmonic analysis computability theory integral equations machine learning research cancer imaging image denoising matrix analysis mathematical sciences computational optimization numerical mathematics medical image computing image restoration spline (mathematics) regularization (mathematics) computed tomography network convergence signal reconstruction second kind fast collocation methods hammerstein equations multilevel augmentation methods spect reconstruction geometric interpolation breast imaging numerical computation invariant sets kernel banach spaces multiplicative noise removal galerkin methods fourier-galerkin methods sparse grids proximity algorithms computer-aided design physical medicine numerical simulations spectral theory interpolation spaces compressive sensing medical image analysis reproducing kernel methods refinement technique reconstruction techniques matrix refinement equation second-kind integral equations numerical solutions nucleic acids power electronics wave theory theoretical analysis video denoising computer-aided engineering sequence alignment data aggregation oscillation theory model refinement graph sparsity digital imaging engineering waveform analysis multi-resolution method signal processing

Notable Scholarly Works

Notable Federal Grants

Collaborators

Successive Affine Learning for Deep Neural Networks. Analysis and Applications (2025)

Yuesheng Xu

computer scienceneural computationdeep learningsuccessive affineneural network (machine learning)deep neural networksmachine learningsequential learning

Deep Neural Network Solutions for Oscillatory Fredholm Integral Equations. Journal of Integral Equations and Applications (2024)

Jie JiangYuesheng Xu

applied mathematicsdeep learning

Inexact Fixed-Point Proximity Algorithm for the $$\Ell _0$$ Sparse Regularization Problem. Journal of Scientific Computing (2024)

Ronglong FangYuesheng XuMingsong Yan

mathematical optimizationcomputer sciencecomputational sciencesparse regularization problemscientific computingapplied mathematicsmachine learning

Uniform Convergence of Deep Neural Networks With Lipschitz Continuous Activation Functions and Variable Widths. IEEE Transactions on Information Theory (2024)

Yuesheng XuHaizhang Zhang

deep learninguniform convergencedeep neural networksapplied mathematicsmachine learningvariable widths

A Duality Approach to Regularized Learning Problems in Banach Spaces. Journal of Complexity (2023)

Raymond ChengRui WangYuesheng Xu

banach spacescomputational complexityapplied mathematics

Convergence of Deep Relu Networks. Neurocomputing (2023)

Yuesheng XuHaizhang Zhang

neuroinformaticscomputer scienceneural computationdeep learningneurosciencenetwork convergencedeep relu networkscomputational neuroscienceneurocomputersmachine learning

Multi-Grade Deep Learning. arXiv (Cornell University) (2023)

Xu, Yuesheng

computer scienceneural computationdeep learningunsupervised machine learningmulti-grade deep learningdata sciencemachine learning

Sparse Machine Learning in Banach Spaces. Applied Numerical Mathematics (2023)

Yuesheng Xu

numerical analysisalgorithmic learningbanach spacesnumerical mathematicssparse machine learningapplied mathematicsmachine learning

A Content-Adaptive Unstructured Grid Based Regularized Ct Reconstruction Method With a Sart-Type Preconditioned Fixed-Point Proximity Algorithm. Inverse Problems (2022)

Yun ChenYao LuXiangyuan MaYuesheng Xu

reconstruction techniquesct scanimage reconstructionmedical imagingcomputed tomographycontent-adaptive unstructured gridradiologycancer imagingcomputational imagingct reconstruction methodinverse problemsophthalmologyapplied mathematicsbiomedical imaging

A Fast Convergent Ordered-Subsets Algorithm With Subiteration-Dependent Preconditioners for Pet Image Reconstruction. IEEE Transactions on Medical Imaging (2022)

Jianfeng GuoC. Ross SchmidtleinAndrzej KrolSi LiYizun LinSangtae AhnCharles StearnsYuesheng Xu

image reconstructionmedical imagingsubiteration-dependent preconditionerspet image reconstructionradiologycomputational imagingmedicinehealth sciencesbiomedical imaging

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Yuesheng Xu

Professor Emeritus

Syracuse University

Affiliations

College of Arts and Sciences

Mathematics

Yuesheng Xu is currently serving as a College Of Arts And Sciences Professor Emeritus at Syracuse University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Yuesheng Xu

Syracuse University

Professor Emeritus

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Successive Affine Learning for Deep Neural Networks. Analysis and Applications (2025)

Yuesheng Xu

computer scienceneural computationdeep learningsuccessive affineneural network (machine learning)deep neural networksmachine learningsequential learning

Deep Neural Network Solutions for Oscillatory Fredholm Integral Equations. Journal of Integral Equations and Applications (2024)

Jie JiangYuesheng Xu

applied mathematicsdeep learning

Inexact Fixed-Point Proximity Algorithm for the $$\Ell _0$$ Sparse Regularization Problem. Journal of Scientific Computing (2024)

Ronglong FangYuesheng XuMingsong Yan

mathematical optimizationcomputer sciencecomputational sciencesparse regularization problemscientific computingapplied mathematicsmachine learning

Uniform Convergence of Deep Neural Networks With Lipschitz Continuous Activation Functions and Variable Widths. IEEE Transactions on Information Theory (2024)

Yuesheng XuHaizhang Zhang

deep learninguniform convergencedeep neural networksapplied mathematicsmachine learningvariable widths

A Duality Approach to Regularized Learning Problems in Banach Spaces. Journal of Complexity (2023)

Raymond ChengRui WangYuesheng Xu

banach spacescomputational complexityapplied mathematics

Convergence of Deep Relu Networks. Neurocomputing (2023)

Yuesheng XuHaizhang Zhang

neuroinformaticscomputer scienceneural computationdeep learningneurosciencenetwork convergencedeep relu networkscomputational neuroscienceneurocomputersmachine learning

Multi-Grade Deep Learning. arXiv (Cornell University) (2023)

Xu, Yuesheng

computer scienceneural computationdeep learningunsupervised machine learningmulti-grade deep learningdata sciencemachine learning

Sparse Machine Learning in Banach Spaces. Applied Numerical Mathematics (2023)

Yuesheng Xu

numerical analysisalgorithmic learningbanach spacesnumerical mathematicssparse machine learningapplied mathematicsmachine learning

A Content-Adaptive Unstructured Grid Based Regularized Ct Reconstruction Method With a Sart-Type Preconditioned Fixed-Point Proximity Algorithm. Inverse Problems (2022)

Yun ChenYao LuXiangyuan MaYuesheng Xu

A Fast Convergent Ordered-Subsets Algorithm With Subiteration-Dependent Preconditioners for Pet Image Reconstruction. IEEE Transactions on Medical Imaging (2022)

Jianfeng GuoC. Ross SchmidtleinAndrzej KrolSi LiYizun LinSangtae AhnCharles StearnsYuesheng Xu

image reconstructionmedical imagingsubiteration-dependent preconditionerspet image reconstructionradiologycomputational imagingmedicinehealth sciencesbiomedical imaging

1
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5
23
10 / page

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Similar Faculty Members

Weimin Han

Institution

University of Iowa

isogeometric analysis

discontinuous galerkin methods

Lixin Shen

Institution

Syracuse University

computational harmonic analysis

harmonic analysis

Akram Aldroubi

Institution

Vanderbilt University

wavelet

applied mathematical modelling

Mladen Wickerhauser

Institution

Washington University in St. Louis

wavelet

data compression

Jinyi Qi

Institution

University of California, Davis

radiology

biomedical imaging

Doug Hardin

Institution

Vanderbilt University

wavelet

bio-inspired computation

Mathews Jacob

Institution

University of Iowa

radiology

biomedical imaging

W. Karl

Institution

Boston University

medical imaging

computer science

Dana Brooks

Institution

Northeastern University

medical imaging

neuroscience