Xiaoqun Zhang

Orcid: 0000-0001-5709-5731

According to our database1, Xiaoqun Zhang authored at least 61 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Large language models as surrogate models in evolutionary algorithms: A preliminary study.
Swarm Evol. Comput., 2024

On the Convergence of Continuous and Discrete Unbalanced Optimal Transport Models for 1-Wasserstein Distance.
SIAM J. Numer. Anal., 2024

NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems.
SIAM J. Imaging Sci., 2024

Bi-modality Images Transfer with a Discrete Process Matching Method.
CoRR, 2024

Few-shot Multi-Task Learning of Linear Invariant Features with Meta Subspace Pursuit.
CoRR, 2024

Subspace Diffusion Posterior Sampling for Travel-Time Tomography.
CoRR, 2024

Dual-Domain Deep D-bar Method for Solving Electrical Impedance Tomography.
CoRR, 2024

A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms.
CoRR, 2024

Enhancing SAEAs with unevaluated solutions: a case study of relation model for expensive optimization.
Sci. China Inf. Sci., 2024

A Framework for Assessing Country Reputation: Case Study of China during the COVID-19 Pandemic.
Proceedings of the 25th Annual International Conference on Digital Government Research, 2024

Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
SEA-Net: Structure-Enhanced Attention Network for Limited-Angle CBCT Reconstruction of Clinical Projection Data.
IEEE Trans. Instrum. Meas., 2023

Binary Quantized Network Training With Sharpness-Aware Minimization.
J. Sci. Comput., 2023

SyMOT-Flow: Learning optimal transport flow for two arbitrary distributions with maximum mean discrepancy.
CoRR, 2023

NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems.
CoRR, 2023

Approximate Primal-Dual Fixed-Point based Langevin Algorithms for Non-smooth Convex Potentials.
CoRR, 2023

On the convergence of continuous and discrete unbalanced optimal transport models.
CoRR, 2023

Robust Graph Representation Learning for Local Corruption Recovery.
Proceedings of the ACM Web Conference 2023, 2023

PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023

AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Low-Rank and Framelet Based Sparsity Decomposition for Interventional MRI Reconstruction.
IEEE Trans. Biomed. Eng., 2022

Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction.
CoRR, 2022

Graph Neural Network for Local Corruption Recovery.
CoRR, 2022

MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Broadband and economic growth in China: An empirical study during the COVID-19 pandemic period.
Telematics Informatics, 2021

A Three-Operator Splitting Algorithm for Nonconvex Sparsity Regularization.
SIAM J. Sci. Comput., 2021

A Stochastic Variance Reduced Primal Dual Fixed Point Method for Linearly Constrained Separable Optimization.
SIAM J. Imaging Sci., 2021

Variable metric extrapolation proximal iterative hard thresholding method for 𝓁<sub>0</sub> minimization problem.
CoRR, 2021

A parameterized Douglas-Rachford splitting algorithm for nonconvex optimization.
Appl. Math. Comput., 2021

Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Noise Suppression in Image-Domain Multi-Material Decomposition for Dual-Energy CT.
IEEE Trans. Biomed. Eng., 2020

Bayesian Inference and Uncertainty Quantification for Medical Image Reconstruction with Poisson Data.
SIAM J. Imaging Sci., 2020

Stochastic Primal Dual Fixed Point Method for Composite Optimization.
J. Sci. Comput., 2020

Variational bimodal image fusion with data-driven tight frame.
Inf. Fusion, 2020

Investigating the Broadband Divide of OECD Countries: A Representative Agent Perspective.
Int. J. Technol. Diffusion, 2020

Semi-Implicit Back Propagation.
CoRR, 2020

Computer-aided diagnosis of gallbladder polyps based on high resolution ultrasonography.
Comput. Methods Programs Biomed., 2020

2019
A New Proximal Iterative Hard Thresholding Method with Extrapolation for ℓ<sub>0</sub> Minimization.
J. Sci. Comput., 2019

2018
PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame Regularization.
SIAM J. Imaging Sci., 2018

Estimating the Weights of Media Tonalities in the Measurement of Media Coverage of Corporations.
Commun. Res., 2018

Image Reconstruction by Splitting Deep Learning Regularization from Iterative Inversion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Exploring the patterns and determinants of the global mobile divide.
Telematics Informatics, 2017

CUSTOM: A Calibration Region Recovery Approach for Highly Subsampled Dynamic Parallel Magnetic Resonance Imaging.
J. Math. Imaging Vis., 2017

An Edge Driven Wavelet Frame Model for Image Restoration.
CoRR, 2017

2016
TICMR: Total Image Constrained Material Reconstruction via Nonlocal Total Variation Regularization for Spectral CT.
IEEE Trans. Medical Imaging, 2016

A Wavelet Frame Method with Shape Prior for Ultrasound Video Segmentation.
SIAM J. Imaging Sci., 2016

Simultaneous imaging of multiple neurotransmitters and neuroactive substances in the brain by desorption electrospray ionization mass spectrometry.
NeuroImage, 2016

Fast sparse reconstruction: Greedy inverse scale space flows.
Math. Comput., 2016

A Two-Stage Low Rank Approach for Calibrationless Dynamic Parallel Magnetic Resonance Image Reconstruction.
J. Sci. Comput., 2016

Pansharpening Image Fusion Using Cross-Channel Correlation: A Framelet-Based Approach.
J. Math. Imaging Vis., 2016

Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis.
Neurocomputing, 2016

2015
Retinex by Higher Order Total Variation L<sup>1</sup> Decomposition.
J. Math. Imaging Vis., 2015

2014
Domain Decomposition Methods for Nonlocal Total Variation Image Restoration.
J. Sci. Comput., 2014

2013
Wavelet Frame Based Multiphase Image Segmentation.
SIAM J. Imaging Sci., 2013

2012
Erratum to: A Novel Sparsity Reconstruction Method from Poisson Data for 3D Bioluminescence Tomography.
J. Sci. Comput., 2012

A Novel Sparsity Reconstruction Method from Poisson Data for 3D Bioluminescence Tomography.
J. Sci. Comput., 2012

2011
A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration.
J. Sci. Comput., 2011

2010
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction.
SIAM J. Imaging Sci., 2010

A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science.
SIAM J. Imaging Sci., 2010

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

Empirical Analysis on SME's Innovative Efficiency - A Case of SMEs in Guangdong Cluster of Materials Industry.
Proceedings of the International Conference on E-Business and E-Government, 2010


  Loading...