Publications

Publications by categories in reversed chronological order. generated by jekyll-scholar.

All Selected papers Optimization Image processing Machine learning

2024

  1. Journal
    Federated Primal-Dual Fixed Point Algorithm
    SIAM Journal on Mathematics of Data Science, 2024
  2. Preprint
    A Guide to Stochastic Optimisation for Large-Scale Inverse Problems
    arXiv preprint arXiv:2406.06342, 2024
  3. Journal
    A Scalable Sphere-Constrained Magnitude-Sparse SAR Imaging
    Ming Jiang, Jiaxuan Qu , Jinshan Ding, and Jingwei Liang
    Journal of Nonlinear & Variational Analysis, 2024
  4. Journal
    NF-ULA: Langevin Monte Carlo with normalizing flow prior for imaging inverse problems
    Ziruo Cai, Junqi Tang, Subhadip Mukherjee , Jinglai Li, Carola-Bibiane Schönlieb, and Xiaoqun Zhang
    SIAM Journal on Imaging Sciences, 2024
  5. Journal
    On the Convergence of Continuous and Discrete Unbalanced Optimal Transport Models for 1-Wasserstein Distance
    Zhe Xiong , Lei Li, Ya-Nan Zhu, and Xiaoqun Zhang
    SIAM Journal on Numerical Analysis, 2024
  6. Journal
    Vision graph u-net: Geometric learning enhanced encoder for medical image segmentation and restoration
    Yuanhong Jiang, Qiaoqiao DingYu Guang Wang, Pietro Lio, and Xiaoqun Zhang
    Inverse Problems and Imaging, 2024

2023

  1. Journal
    A Distance Function Based Cascaded Neural Network for Accurate Polyps Segmentation and Classification
    Yuanhong Jiang, Jingwei Liang, Weiqi Xiong , Qiwei Li , Yijue Zhang, Tao Chen, and 1 more author
    Inverse Problems and Imaging, 2023
  2. Conference
    Robust Graph Representation Learning for Local Corruption Recovery
    Bingxin Zhou , Yuanhong Jiang, Yuguang WangJingwei Liang, Junbin Gao, Shirui Pan, and 1 more author
    In Proceedings of the ACM Web Conference, 2023
  3. Journal
    The prognostic value of splenic abnormalities in pretreatment 18F-FDG PET/CT in patients with complete response diffuse large B-cell lymphoma
    S Wang, H Ju, Y Bai , L Wang , Q Ding , P Li, and 2 more authors
    Clinical Radiology, 2023
  4. Preprint
    Automatic recognition of white blood cell images with memory efficient superpixel metric GNN: SMGNN
    Yuanhong Jiang , Yiqing Shen, Yu Guang Wang, and Qiaoqiao Ding
    2023
  5. Preprint
    Approximate primal-dual fixed-point based langevin algorithms for non-smooth convex potentials
    Ziruo Cai , Jinglai Li, and Xiaoqun Zhang
    arXiv preprint arXiv:2304.04544, 2023
  6. Journal
    An orthogonal matching pursuit optimization method for solving minimum-monitor-unit problems: applications to proton IMPT, ARC and FLASH
    Ya-Nan ZhuXiaoqun Zhang, Yuting Lin, Chris Lominska, and Hao Gao
    Medical physics, 2023
  7. Preprint
    On the convergence of continuous and discrete unbalanced optimal transport models
    Zhe Xiong , Lei Li, Ya-Nan Zhu, and Xiaoqun Zhang
    arXiv preprint arXiv:2303.17267, 2023
  8. Conference
    AE-FLOW: Autoencoders with normalizing flows for medical images anomaly detection
    Yuzhong Zhao, Qiaoqiao Ding, and Xiaoqun Zhang
    International Conference on Learning Representations (ICLR), 2023
  9. Journal
    Sea-net: Structure-enhanced attention network for limited-angle cbct reconstruction of clinical projection data
    Dianlin Hu , Yikun Zhang , Wangyao Li , Weijie Zhang, Krishna Reddy, Qiaoqiao Ding, and 3 more authors
    IEEE Transactions on Instrumentation and Measurement, 2023
  10. Journal
    Binary quantized network training with sharpness-aware minimization
    Ren Liu, Fengmiao Bian, and Xiaoqun Zhang
    Journal of Scientific Computing, 2023
  11. Conference
    PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection
    Zhe Xiong, Qiaoqiao Ding, Yuzhong Zhao, and Xiaoqun Zhang
    International Workshop on Computational Mathematics Modeling in Cancer Analysis, 2023
  12. Preprint
    SyMOT-Flow: Learning optimal transport flow for two arbitrary distributions with maximum mean discrepancy
    Zhe Xiong, Qiaoqiao Ding, and Xiaoqun Zhang
    arXiv preprint arXiv:2308.13815, 2023

2022

  1. Journal
    Partial Smoothness and Constant Rank
    Adrian S. LewisJingwei Liang, and Tonghua Tian
    SIAM Journal on Optimization, 2022
  2. Journal
    Variable Screening for Sparse Online Regression
    Journal of Computational and Graphical Statistics, 2022
  3. Journal
    On Biased Stochastic Gradient Estimation
    Journal of Machine Learning Research, 2022
  4. Journal
    TFPNP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
    Kaixuan Wei, Angelica Aviles-RiveroJingwei Liang, Ying Fu, Hua Huang, and Carola-Bibiane Schönlieb
    Journal of Machine Learning Research, 2022
  5. Journal
    Improving “Fast Iterative Shrinkage-Thresholding Algorithm”: Faster, Smarter, and Greedier
    SIAM Journal on Scientific Computing, 2022
  6. Journal
    Nomogram based on Clinical and Radiomics Data for Predicting Radiation-induced Temporal Lobe Injury in Patients with Non-metastatic Stage T4 Nasopharyngeal Carcinoma
    Xiang Bin , Chao hua Zhu , Yanyan Tang , Renyuan Li, Qiaoqiao Ding, and et. al.
    2022
  7. Preprint
    A stochastic three-block splitting algorithm and its application to quantized deep neural networks
    Fengmiao Bian, Ren Liu, and Xiaoqun Zhang
    arXiv preprint arXiv:2204.11065, 2022
  8. Journal
    Low-rank and framelet based sparsity decomposition for interventional MRI reconstruction
    Zhao He, Ya-Nan Zhu, Suhao Qiu , Tao Wang , Chencheng Zhang, Bomin Sun, and 2 more authors
    IEEE Transactions on Biomedical Engineering, 2022
  9. Journal
    A dataset-free deep learning method for low-dose CT image reconstruction
    Qiaoqiao Ding, Hui Ji, Yuhui Quan, and Xiaoqun Zhang
    Inverse Problems, 2022
  10. Conference
    Mri reconstruction by completing under-sampled k-space data with learnable fourier interpolation
    International Conference on Medical Image Computing and Computer-Assisted Intervention(MICCAI), 2022

2021

  1. Journal
    A Stochastic Alternating Direction Method of Multipliers for Non-smooth and Non-convex Optimization
    Fengmiao Bian, Jingwei Liang, and Xiaoqun Zhang
    Inverse Problems, 2021
  2. Journal
    A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization
    SIAM Journal on Imaging Sciences, 2021
  3. Preprint
    An Adaptive Rank Continuation Algorithm for General Weighted Low-rank Recovery
    Aritra DuttaJingwei Liang , and Xin Li
    arXiv preprint arXiv:2101.00749, 2021
  4. Journal
    Deep Learning with Adaptive Hyper-parameters for Low-Dose CT Image Reconstruction
    Qiaoqiao Ding, Yuesong Nan, Hao Gao, and Hui Ji
    IEEE Transactions on Computational Imaging, 2021
  5. Journal
    Variable metric extrapolation proximal iterative hard thresholding method for \ell_0 minimization problem.
    Xue Zhang, and Xiaoqun Zhang
    CoRR, 2021
  6. Conference
    Learnable multi-scale fourier interpolation for sparse view ct image reconstruction
    Qiaoqiao Ding, Hui Ji, Hao Gao, and Xiaoqun Zhang
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
  7. Journal
    A stochastic variance reduced primal dual fixed point method for linearly constrained separable optimization
    SIAM Journal on Imaging Sciences, 2021
  8. Journal
    A three-operator splitting algorithm for nonconvex sparsity regularization
    Fengmiao Bian, and Xiaoqun Zhang
    SIAM Journal on Scientific Computing, 2021
  9. Preprint
    Variable metric extrapolation proximal iterative hard thresholding method for $\backslashell_0 $ minimization problem
    Xue Zhang, and Xiaoqun Zhang
    arXiv preprint arXiv:2108.03365, 2021
  10. Journal
    A parameterized douglas–rachford splitting algorithm for nonconvex optimization
    Fengmiao Bian, and Xiaoqun Zhang
    Applied Mathematics and Computation, 2021
  11. Journal
    Image fusion network for dual-modal restoration
    Ying Zhang, Xuhua Ren, Bryan Alexander Clifford , Qian Wang, and Xiaoqun Zhang
    Inverse Problems and Imaging, 2021

2020

  1. Conference
    Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
    Kaixuan Wei, Angelica Aviles-RiveroJingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, and Hua Huang
    In International Conference on Machine Learning (ICML), 2020
  2. Preprint
    Geometry of First-Order Methods and Adaptive Acceleration
    arXiv preprint arXiv:2003.03910, 2020
  3. Journal
    The Fun is Finite: Douglas-Rachford and Sudoku Puzzle–Finite Termination and Local Linear Convergence
    Robert Tovey, and Jingwei Liang
    Journal of Applied and Numerical Optimization, 2020
  4. Journal
    Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit
    Aritra Dutta, Filip Hanzely, Jingwei Liang, and Peter Richtárik
    IEEE Transactions on Signal Processing, 2020
  5. Preprint
    Semi-Implicit Back Propagation
    Ren Liu, and Xiaoqun Zhang
    arXiv preprint arXiv:2002.03516, 2020
  6. Journal
    Bayesian inference and uncertainty quantification for medical image reconstruction with Poisson data
    Qingping Zhou, Tengchao Yu, Xiaoqun Zhang , and Jinglai Li
    SIAM Journal on Imaging Sciences, 2020
  7. Journal
    An edge driven wavelet frame model for image restoration
    Jae Kyu Choi, Bin Dong, and Xiaoqun Zhang
    Applied and Computational Harmonic Analysis, 2020
  8. Journal
    Computer-aided diagnosis of gallbladder polyps based on high resolution ultrasonography
    Tao Chen, Shaoxiong Tu , Haolu Wang, Xuesong Liu , Fenghua Li, Wang Jin, and 3 more authors
    Computer methods and programs in biomedicine, 2020
  9. Journal
    Stochastic primal dual fixed point method for composite optimization
    Journal of Scientific Computing, 2020
  10. Journal
    Nonlocal TV-Gaussian prior for Bayesian inverse problems with applications to limited CT reconstruction.
    Didi Lv, Qingping Zhou, Jae Kyu Choi , Jinglai Li, and Xiaoqun Zhang
    Inverse Problems & Imaging, 2020
  11. Journal
    Low-dose CT with deep learning regularization via proximal forward–backward splitting
    Qiaoqiao Ding, Gaoyu Chen, Xiaoqun Zhang, Qiu Huang, Hui Ji, and Hao Gao
    Physics in Medicine & Biology, 2020
  12. Journal
    AirNet: fused analytical and iterative reconstruction with deep neural network regularization for sparse-data CT
    Gaoyu Chen, Xiang Hong, Qiaoqiao Ding , Yi Zhang, Hu Chen, Shujun Fu, and 5 more authors
    Medical physics, 2020
  13. Journal
    Variational bimodal image fusion with data-driven tight frame
    Ying Zhang, and Xiaoqun Zhang
    Information Fusion, 2020

2019

  1. Conference
    Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
    In Advances in Neural Information Processing Systems (NeurIPS), 2019
  2. Journal
    Convergence Rates of Forward–Douglas–Rachford Splitting Method
    Journal of Optimization Theory and Applications, 2019
  3. Preprint
    NLTG priors in medical image: Nonlocal TV-Gaussian (NLTG) prior for Bayesian inverse problems with applications to limited CT reconstruction
    Didi Lv, Qingping Zhou, Jae Kyu Choi , Jinglai Li, and Xiaoqun Zhang
    arXiv preprint arXiv:1901.00262, 2019
  4. Journal
    A new proximal iterative hard thresholding method with extrapolation for l0 minimization
    Xue Zhang, and Xiaoqun Zhang
    Journal of Scientific Computing, 2019
  5. Journal
    Noise suppression in image-domain multi-material decomposition for dual-energy CT
    Yangkang Jiang, Yi Xue, Qihui Lyu, Lei Xu, Chen Luo, Pengfei Yang, and 5 more authors
    IEEE Transactions on Biomedical Engineering, 2019
  6. Preprint
    A greedy algorithm for sparse precision matrix approximation
    Didi Lv, and Xiaoqun Zhang
    arXiv preprint arXiv:1907.00723, 2019

2018

  1. Conference
    Local Convergence Properties of SAGA/Prox-SVRG and Acceleration
    In International Conference on Machine Learning (ICML), 2018
  2. Journal
    Local Linear Convergence Analysis of Primal–Dual Splitting Methods
    Optimization, 2018
  3. Journal
    Image-domain multimaterial decomposition for dual-energy CT based on prior information of material images
    Qiaoqiao Ding, Tianye Niu, Xiaoqun Zhang, and Yong Long
    Medical physics, 2018
  4. Journal
    PET-MRI joint reconstruction by joint sparsity based tight frame regularization
    Jae Kyu Choi, Chenglong Bao, and Xiaoqun Zhang
    SIAM Journal on Imaging Sciences, 2018
  5. Preprint
    Statistical image reconstruction using mixed Poisson-Gaussian noise model for X-ray CT
    Qiaoqiao Ding, Yong Long, Xiaoqun Zhang, and Jeffrey A Fessler
    arXiv preprint arXiv:1801.09533, 2018
  6. Journal
    PET-MRI joint reconstruction with common edge weighted total variation regularization
    Ying Zhang, and Xiaoqun Zhang
    Inverse Problems, 2018
  7. Conference
    Image reconstruction by splitting deep learning regularization from iterative inversion
    Jiulong Liu, Tao Kuang, and Xiaoqun Zhang
    2018
  8. Journal
    Image-domain multi-material decomposition for dual-energy CT via total nuclear norm and \ell_0 norm
    Qiaoqiao Ding, Tianye Niu, Xiaoqun Zhang, and Yong Long
    Med Phys, 2018

2017

  1. Journal
    Activity Identification and Local Linear Convergence of Forward–Backward-type Methods
    SIAM Journal on Optimization, 2017
  2. Journal
    Local Convergence Properties of Douglas–Rachford and Alternating Direction Method of Multipliers
    Journal of Optimization Theory and Applications, 2017
  3. Journal
    CUSTOM: A calibration region recovery approach for highly subsampled dynamic parallel magnetic resonance imaging
    Xue Zhang, Likun Hou, Hao Gao, and Xiaoqun Zhang
    Journal of Mathematical Imaging and Vision, 2017
  4. Journal
    Dynamic SPECT reconstruction with temporal edge correlation
    Qiaoqiao Ding, Martin Burger, and Xiaoqun Zhang
    Inverse Problems, 2017
  5. Preprint
    Image-domain multi-material decomposition for dual-energy ct based on correlation and sparsity of material images
    Qiaoqiao Ding, Tianye Niu, Xiaoqun Zhang, and Yong Long
    arXiv preprint arXiv:1710.07028, 2017
  6. Preprint
    An accelerated proximal iterative hard thresholding method for \ell_0 minimization
    Xue Zhang, and Xiaoqun Zhang
    arXiv preprint arXiv:1709.01668, 2017

2016

  1. Thesis
    Convergence Rates of First-Order Operator Splitting Methods
    Normandie Université; GREYC CNRS UMR 6072, 2016
  2. Journal
    Convergence Rates with Inexact Non-expansive Operators
    Mathematical Programming, 2016
  3. Conference
    A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization
    In Advances in Neural Information Processing Systems (NeurIPS), 2016
  4. Journal
    Fast Sparse Reconstruction:Greedy Inverse Scale Space Flows
    Michael Moller, and Xiaoqun Zhang
    Math. Comp., 2016
  5. Journal
    Pansharpening image fusion using cross-channel correlation: A framelet-based approach
    Likun Hou, and Xiaoqun Zhang
    Journal of Mathematical Imaging and Vision, 2016
  6. Journal
    Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis
    Kun Hu , Yijue Wang, Kewei Chen, Likun Hou, and Xiaoqun Zhang
    Neurocomputing, 2016
  7. Journal
    A primal-dual fixed point algorithm for multi-block convex minimization
    Peijun Chen, Jianguo Huang, and Xiaoqun Zhang
    Journal of Computational Mathematics, 2016
  8. Preprint
    Limited tomography reconstruction via tight frame and sinogram extrapolation
    Jae Kyu Choi, Bin Dong, and Xiaoqun Zhang
    arXiv preprint arXiv:1602.07049, 2016
  9. Journal
    A two-stage low rank approach for calibrationless dynamic parallel magnetic resonance image reconstruction
    Likun Hou, Hao Gao, and Xiaoqun Zhang
    Journal of Scientific Computing, 2016
  10. Journal
    Simultaneous reconstruction and segmentation for dynamic SPECT imaging
    Martin Burger, Carolin Rossmanith, and Xiaoqun Zhang
    Inverse Problems, 2016
  11. Journal
    A wavelet frame method with shape prior for ultrasound video segmentation
    Jiulong Liu, Xiaoqun Zhang, Bin Dong, Zuowei Shen, and Lixu Gu
    SIAM Journal on Imaging Sciences, 2016
  12. Journal
    Modeling Mixed Poisson-Gaussian Noise in Statistical Image Reconstruction for X-Ray CT
    Qiaoqiao Ding, Yong Long, Xiaoqun Zhang, and Jeffrey A Fessler
    Arbor, 2016
  13. Journal
    TICMR: Total image constrained material reconstruction via nonlocal total variation regularization for spectral CT
    Jiulong Liu , Huanjun Ding, Sabee Molloi, Xiaoqun Zhang, and Hao Gao
    IEEE transactions on medical imaging, 2016
  14. Journal
    Image restoration by minimizing zero norm of wavelet frame coefficients
    Chenglong Bao, Bin Dong, Likun Hou, Zuowei ShenXiaoqun Zhang , and Xue Zhang
    Inverse problems, 2016
  15. Journal
    Operator splitting methods in compressive sensing and sparse approximation
    Tom Goldstein, and Xiaoqun Zhang
    Splitting Methods in Communication, Imaging, Science, and Engineering, 2016
  16. Journal
    A primal-dual fixed point algorithm for minimization of the sum of three convex separable functions
    Peijun Chen, Jianguo Huang, and Xiaoqun Zhang
    Fixed Point Theory and Applications, 2016
  17. Journal
    A hybrid segmentation and d-bar method for electrical impedance tomography
    Sarah J Hamilton, Juan Manuel Reyes, Samuli Siltanen, and Xiaoqun Zhang
    SIAM Journal on Imaging Sciences, 2016

2015

  1. Conference
    Activity Identification and Local Linear Convergence of Douglas–Rachford/ADMM under Partial Smoothness
    In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2015
  2. Journal
    Retinex by Higher Order Total Variation L1 Decomposition
    Journal of Mathematical Imaging and Vision, 2015
  3. Journal
    Dynamic SPECT reconstruction from few projections: a sparsity enforced matrix factorization approach
    Qiaoqiao Ding, Yunlong Zan, Qiu Huang, and Xiaoqun Zhang
    Inverse Problems, 2015
  4. Journal
    Interpolation and denoising of high-dimensional seismic data by learning a tight frame
    Siwei Yu, Jianwei MaXiaoqun Zhang, and Mauricio D Sacchi
    Geophysics, 2015
  5. Journal
    A reweighted l2 method for image restoration with Poisson and mixed Poisson-Gaussian noise
    Jia LiZuowei Shen, Rujie Yin, and Xiaoqun Zhang
    Inverse Problems and Imaging, 2015
  6. Journal
    A note on the complexity of proximal iterative hard thresholding algorithm
    Xue Zhang , and Xiao-Qun Zhang
    Journal of the Operations Research Society of China, 2015
  7. Journal
    5D respiratory motion model based image reconstruction algorithm for 4D cone-beam computed tomography
    Jiulong Liu , Xue Zhang, Xiaoqun Zhang, Hongkai Zhao, Yu Gao, David Thomas, and 2 more authors
    Inverse Problems, 2015

2014

  1. Conference
    Local Linear Convergence of Forward–Backward under Partial Smoothness
    Advances in Neural Information Processing Systems (NeurIPS), 2014
  2. Journal
    Seismic Data Restoration via Data-driven Tight Frame
    Geophysics, 2014
  3. Journal
    Domain decomposition methods for nonlocal total variation image restoration
    Huibin Chang, Xiaoqun Zhang, Xue-Cheng Tai, and Danping Yang
    Journal of Scientific Computing, 2014
  4. Journal
    Nonlocal patch-based image inpainting through minimization of a sparsity promoting nonconvex functional
    ERNIE Esser , and XIAOQUN Zhang
    Dept. Math., Univ. California Irvine, Irvine, CA, USA, Tech. Rep, 2014
  5. Journal
    Forward–backward splitting method for quantitative photoacoustic tomography
    Xue Zhang, Weifeng Zhou, Xiaoqun Zhang, and Hao Gao
    Inverse problems, 2014

2013

  1. Journal
    Wavelet Frame Based Color Image Demosaicing
    Inverse Problems and Imaging, 2013
  2. Journal
    A primal–dual fixed point algorithm for convex separable minimization with applications to image restoration
    Peijun Chen, Jianguo Huang, and Xiaoqun Zhang
    Inverse Problems, 2013
  3. Journal
    Wavelet Frame Based Multiphase Image Segmentation
    Cheng Tai, Xiaoqun Zhang, and Zuowei Shen
    SIAM Journal on Imaging Sciences, 2013
  4. Journal
    A primal-dual fixed point algorithm based on proximity operator for convex set constrained separable problem
    Peijun Chen, Jianguo Huang, and Xiaoqun Zhang
    J. Nanjing Norm. Univ. Nat. Sci. Ed, 2013

2012

  1. Journal
    A Novel Sparsity Reconstruction Method from Poisson Data for 3D Bioluminescence Tomography
    Xiaoqun Zhang, Yujie Lu, and Tony Chan
    Journal of Scientific Computing, 2012

2011

  1. Journal
    A unified primal-dual algorithm framework based on Bregman iteration
    Xiaoqun Zhang, Martin Burger, and Stanley Osher
    Journal of Scientific Computing, 2011

2010

  1. Journal
    Bregmanized nonlocal regularization for deconvolution and sparse reconstruction
    Xiaoqun Zhang, Martin Burger, Xavier Bresson, and Stanley Osher
    SIAM Journal on Imaging Sciences, 2010
  2. Journal
    A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
    Ernie Esser, Xiaoqun Zhang, and Tony Chan
    SIAM Journal on Imaging Sciences, 2010
  3. Journal
    Image recovery via nonlocal operators
    Yifei Lou, Xiaoqun Zhang, Stanley Osher, and Andrea Bertozzi
    Journal of Scientific Computing, 2010
  4. Journal
    Wavelet inpainting by nonlocal total variation
    Xiaoqun Zhang, and Tony F Chan
    Inverse problems and Imaging, 2010

2009

  1. Journal
    Source reconstruction for spectrally-resolved bioluminescence tomography with sparse a priori information
    Yujie Lu, Xiaoqun Zhang, Ali Douraghy, David Stout, Jie Tian, Tony F Chan, and 1 more author
    Optics express, 2009

2005

  1. Conference
    Total variation based Fourier reconstruction and regularization for computer tomography
    Xiao-Qun Zhang, and Jacques Froment
    2005
  2. Conference
    Constrained total variation minimization and application in computerized tomography
    Xiao-Qun Zhang, and Jacques Froment
    2005

2004

  1. Journal
    The regularity of random graph directed self-similar sets
    Xiaoqun Zhang, and Yanyan Liu
    Acta Mathematica Scientia, 2004

2024

  1. Journal
    Federated Primal-Dual Fixed Point Algorithm
    SIAM Journal on Mathematics of Data Science, 2024
  2. Preprint
    A Guide to Stochastic Optimisation for Large-Scale Inverse Problems
    arXiv preprint arXiv:2406.06342, 2024
  3. Journal
    NF-ULA: Langevin Monte Carlo with normalizing flow prior for imaging inverse problems
    Ziruo Cai, Junqi Tang, Subhadip Mukherjee , Jinglai Li, Carola-Bibiane Schönlieb, and Xiaoqun Zhang
    SIAM Journal on Imaging Sciences, 2024
  4. Journal
    On the Convergence of Continuous and Discrete Unbalanced Optimal Transport Models for 1-Wasserstein Distance
    Zhe Xiong , Lei Li, Ya-Nan Zhu, and Xiaoqun Zhang
    SIAM Journal on Numerical Analysis, 2024

2023

  1. Conference
    AE-FLOW: Autoencoders with normalizing flows for medical images anomaly detection
    Yuzhong Zhao, Qiaoqiao Ding, and Xiaoqun Zhang
    International Conference on Learning Representations (ICLR), 2023

2022

  1. Journal
    Partial Smoothness and Constant Rank
    Adrian S. LewisJingwei Liang, and Tonghua Tian
    SIAM Journal on Optimization, 2022
  2. Journal
    On Biased Stochastic Gradient Estimation
    Journal of Machine Learning Research, 2022
  3. Journal
    Improving “Fast Iterative Shrinkage-Thresholding Algorithm”: Faster, Smarter, and Greedier
    SIAM Journal on Scientific Computing, 2022
  4. Journal
    Low-rank and framelet based sparsity decomposition for interventional MRI reconstruction
    Zhao He, Ya-Nan Zhu, Suhao Qiu , Tao Wang , Chencheng Zhang, Bomin Sun, and 2 more authors
    IEEE Transactions on Biomedical Engineering, 2022
  5. Journal
    A dataset-free deep learning method for low-dose CT image reconstruction
    Qiaoqiao Ding, Hui Ji, Yuhui Quan, and Xiaoqun Zhang
    Inverse Problems, 2022
  6. Conference
    Mri reconstruction by completing under-sampled k-space data with learnable fourier interpolation
    International Conference on Medical Image Computing and Computer-Assisted Intervention(MICCAI), 2022

2021

  1. Journal
    A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization
    SIAM Journal on Imaging Sciences, 2021
  2. Journal
    Deep Learning with Adaptive Hyper-parameters for Low-Dose CT Image Reconstruction
    Qiaoqiao Ding, Yuesong Nan, Hao Gao, and Hui Ji
    IEEE Transactions on Computational Imaging, 2021
  3. Conference
    Learnable multi-scale fourier interpolation for sparse view ct image reconstruction
    Qiaoqiao Ding, Hui Ji, Hao Gao, and Xiaoqun Zhang
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
  4. Journal
    A stochastic variance reduced primal dual fixed point method for linearly constrained separable optimization
    SIAM Journal on Imaging Sciences, 2021
  5. Journal
    A three-operator splitting algorithm for nonconvex sparsity regularization
    Fengmiao Bian, and Xiaoqun Zhang
    SIAM Journal on Scientific Computing, 2021

2020

  1. Conference
    Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
    Kaixuan Wei, Angelica Aviles-RiveroJingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, and Hua Huang
    In International Conference on Machine Learning (ICML), 2020
  2. Journal
    Bayesian inference and uncertainty quantification for medical image reconstruction with Poisson data
    Qingping Zhou, Tengchao Yu, Xiaoqun Zhang , and Jinglai Li
    SIAM Journal on Imaging Sciences, 2020
  3. Journal
    An edge driven wavelet frame model for image restoration
    Jae Kyu Choi, Bin Dong, and Xiaoqun Zhang
    Applied and Computational Harmonic Analysis, 2020

2019

  1. Conference
    Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
    In Advances in Neural Information Processing Systems (NeurIPS), 2019
  2. Journal
    Noise suppression in image-domain multi-material decomposition for dual-energy CT
    Yangkang Jiang, Yi Xue, Qihui Lyu, Lei Xu, Chen Luo, Pengfei Yang, and 5 more authors
    IEEE Transactions on Biomedical Engineering, 2019

2018

  1. Conference
    Local Convergence Properties of SAGA/Prox-SVRG and Acceleration
    In International Conference on Machine Learning (ICML), 2018
  2. Journal
    PET-MRI joint reconstruction by joint sparsity based tight frame regularization
    Jae Kyu Choi, Chenglong Bao, and Xiaoqun Zhang
    SIAM Journal on Imaging Sciences, 2018
  3. Journal
    PET-MRI joint reconstruction with common edge weighted total variation regularization
    Ying Zhang, and Xiaoqun Zhang
    Inverse Problems, 2018

2017

  1. Journal
    Activity Identification and Local Linear Convergence of Forward–Backward-type Methods
    SIAM Journal on Optimization, 2017
  2. Journal
    Dynamic SPECT reconstruction with temporal edge correlation
    Qiaoqiao Ding, Martin Burger, and Xiaoqun Zhang
    Inverse Problems, 2017

2016

  1. Thesis
    Convergence Rates of First-Order Operator Splitting Methods
    Normandie Université; GREYC CNRS UMR 6072, 2016
  2. Journal
    Convergence Rates with Inexact Non-expansive Operators
    Mathematical Programming, 2016
  3. Conference
    A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization
    In Advances in Neural Information Processing Systems (NeurIPS), 2016
  4. Journal
    Simultaneous reconstruction and segmentation for dynamic SPECT imaging
    Martin Burger, Carolin Rossmanith, and Xiaoqun Zhang
    Inverse Problems, 2016
  5. Journal
    A wavelet frame method with shape prior for ultrasound video segmentation
    Jiulong Liu, Xiaoqun Zhang, Bin Dong, Zuowei Shen, and Lixu Gu
    SIAM Journal on Imaging Sciences, 2016
  6. Journal
    TICMR: Total image constrained material reconstruction via nonlocal total variation regularization for spectral CT
    Jiulong Liu , Huanjun Ding, Sabee Molloi, Xiaoqun Zhang, and Hao Gao
    IEEE transactions on medical imaging, 2016
  7. Journal
    Image restoration by minimizing zero norm of wavelet frame coefficients
    Chenglong Bao, Bin Dong, Likun Hou, Zuowei ShenXiaoqun Zhang , and Xue Zhang
    Inverse problems, 2016
  8. Journal
    Operator splitting methods in compressive sensing and sparse approximation
    Tom Goldstein, and Xiaoqun Zhang
    Splitting Methods in Communication, Imaging, Science, and Engineering, 2016
  9. Journal
    A hybrid segmentation and d-bar method for electrical impedance tomography
    Sarah J Hamilton, Juan Manuel Reyes, Samuli Siltanen, and Xiaoqun Zhang
    SIAM Journal on Imaging Sciences, 2016

2015

  1. Journal
    Retinex by Higher Order Total Variation L1 Decomposition
    Journal of Mathematical Imaging and Vision, 2015
  2. Journal
    Dynamic SPECT reconstruction from few projections: a sparsity enforced matrix factorization approach
    Qiaoqiao Ding, Yunlong Zan, Qiu Huang, and Xiaoqun Zhang
    Inverse Problems, 2015
  3. Journal
    5D respiratory motion model based image reconstruction algorithm for 4D cone-beam computed tomography
    Jiulong Liu , Xue Zhang, Xiaoqun Zhang, Hongkai Zhao, Yu Gao, David Thomas, and 2 more authors
    Inverse Problems, 2015

2013

  1. Journal
    A primal–dual fixed point algorithm for convex separable minimization with applications to image restoration
    Peijun Chen, Jianguo Huang, and Xiaoqun Zhang
    Inverse Problems, 2013
  2. Journal
    Wavelet Frame Based Multiphase Image Segmentation
    Cheng Tai, Xiaoqun Zhang, and Zuowei Shen
    SIAM Journal on Imaging Sciences, 2013

2010

  1. Journal
    Bregmanized nonlocal regularization for deconvolution and sparse reconstruction
    Xiaoqun Zhang, Martin Burger, Xavier Bresson, and Stanley Osher
    SIAM Journal on Imaging Sciences, 2010
  2. Journal
    A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
    Ernie Esser, Xiaoqun Zhang, and Tony Chan
    SIAM Journal on Imaging Sciences, 2010

2024

  1. Journal
    Federated Primal-Dual Fixed Point Algorithm
    SIAM Journal on Mathematics of Data Science, 2024
  2. Preprint
    A Guide to Stochastic Optimisation for Large-Scale Inverse Problems
    arXiv preprint arXiv:2406.06342, 2024

2023

  1. Preprint
    Approximate primal-dual fixed-point based langevin algorithms for non-smooth convex potentials
    Ziruo Cai , Jinglai Li, and Xiaoqun Zhang
    arXiv preprint arXiv:2304.04544, 2023
  2. Journal
    An orthogonal matching pursuit optimization method for solving minimum-monitor-unit problems: applications to proton IMPT, ARC and FLASH
    Ya-Nan ZhuXiaoqun Zhang, Yuting Lin, Chris Lominska, and Hao Gao
    Medical physics, 2023
  3. Preprint
    On the convergence of continuous and discrete unbalanced optimal transport models
    Zhe Xiong , Lei Li, Ya-Nan Zhu, and Xiaoqun Zhang
    arXiv preprint arXiv:2303.17267, 2023

2022

  1. Journal
    Partial Smoothness and Constant Rank
    Adrian S. LewisJingwei Liang, and Tonghua Tian
    SIAM Journal on Optimization, 2022
  2. Journal
    Variable Screening for Sparse Online Regression
    Journal of Computational and Graphical Statistics, 2022
  3. Journal
    On Biased Stochastic Gradient Estimation
    Journal of Machine Learning Research, 2022
  4. Journal
    Improving “Fast Iterative Shrinkage-Thresholding Algorithm”: Faster, Smarter, and Greedier
    SIAM Journal on Scientific Computing, 2022
  5. Preprint
    A stochastic three-block splitting algorithm and its application to quantized deep neural networks
    Fengmiao Bian, Ren Liu, and Xiaoqun Zhang
    arXiv preprint arXiv:2204.11065, 2022

2021

  1. Journal
    A Stochastic Alternating Direction Method of Multipliers for Non-smooth and Non-convex Optimization
    Fengmiao Bian, Jingwei Liang, and Xiaoqun Zhang
    Inverse Problems, 2021
  2. Journal
    A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization
    SIAM Journal on Imaging Sciences, 2021
  3. Preprint
    An Adaptive Rank Continuation Algorithm for General Weighted Low-rank Recovery
    Aritra DuttaJingwei Liang , and Xin Li
    arXiv preprint arXiv:2101.00749, 2021
  4. Journal
    Variable metric extrapolation proximal iterative hard thresholding method for \ell_0 minimization problem.
    Xue Zhang, and Xiaoqun Zhang
    CoRR, 2021
  5. Journal
    A stochastic variance reduced primal dual fixed point method for linearly constrained separable optimization
    SIAM Journal on Imaging Sciences, 2021
  6. Journal
    A three-operator splitting algorithm for nonconvex sparsity regularization
    Fengmiao Bian, and Xiaoqun Zhang
    SIAM Journal on Scientific Computing, 2021
  7. Preprint
    Variable metric extrapolation proximal iterative hard thresholding method for $\backslashell_0 $ minimization problem
    Xue Zhang, and Xiaoqun Zhang
    arXiv preprint arXiv:2108.03365, 2021
  8. Journal
    A parameterized douglas–rachford splitting algorithm for nonconvex optimization
    Fengmiao Bian, and Xiaoqun Zhang
    Applied Mathematics and Computation, 2021

2020

  1. Preprint
    Geometry of First-Order Methods and Adaptive Acceleration
    arXiv preprint arXiv:2003.03910, 2020
  2. Journal
    The Fun is Finite: Douglas-Rachford and Sudoku Puzzle–Finite Termination and Local Linear Convergence
    Robert Tovey, and Jingwei Liang
    Journal of Applied and Numerical Optimization, 2020
  3. Journal
    Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit
    Aritra Dutta, Filip Hanzely, Jingwei Liang, and Peter Richtárik
    IEEE Transactions on Signal Processing, 2020
  4. Journal
    Stochastic primal dual fixed point method for composite optimization
    Journal of Scientific Computing, 2020

2019

  1. Conference
    Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
    In Advances in Neural Information Processing Systems (NeurIPS), 2019
  2. Journal
    Convergence Rates of Forward–Douglas–Rachford Splitting Method
    Journal of Optimization Theory and Applications, 2019
  3. Journal
    A new proximal iterative hard thresholding method with extrapolation for l0 minimization
    Xue Zhang, and Xiaoqun Zhang
    Journal of Scientific Computing, 2019
  4. Preprint
    A greedy algorithm for sparse precision matrix approximation
    Didi Lv, and Xiaoqun Zhang
    arXiv preprint arXiv:1907.00723, 2019

2018

  1. Conference
    Local Convergence Properties of SAGA/Prox-SVRG and Acceleration
    In International Conference on Machine Learning (ICML), 2018
  2. Journal
    Local Linear Convergence Analysis of Primal–Dual Splitting Methods
    Optimization, 2018

2017

  1. Journal
    Activity Identification and Local Linear Convergence of Forward–Backward-type Methods
    SIAM Journal on Optimization, 2017
  2. Journal
    Local Convergence Properties of Douglas–Rachford and Alternating Direction Method of Multipliers
    Journal of Optimization Theory and Applications, 2017
  3. Preprint
    An accelerated proximal iterative hard thresholding method for \ell_0 minimization
    Xue Zhang, and Xiaoqun Zhang
    arXiv preprint arXiv:1709.01668, 2017

2016

  1. Thesis
    Convergence Rates of First-Order Operator Splitting Methods
    Normandie Université; GREYC CNRS UMR 6072, 2016
  2. Journal
    Convergence Rates with Inexact Non-expansive Operators
    Mathematical Programming, 2016
  3. Conference
    A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization
    In Advances in Neural Information Processing Systems (NeurIPS), 2016
  4. Journal
    A primal-dual fixed point algorithm for multi-block convex minimization
    Peijun Chen, Jianguo Huang, and Xiaoqun Zhang
    Journal of Computational Mathematics, 2016
  5. Journal
    Operator splitting methods in compressive sensing and sparse approximation
    Tom Goldstein, and Xiaoqun Zhang
    Splitting Methods in Communication, Imaging, Science, and Engineering, 2016
  6. Journal
    A primal-dual fixed point algorithm for minimization of the sum of three convex separable functions
    Peijun Chen, Jianguo Huang, and Xiaoqun Zhang
    Fixed Point Theory and Applications, 2016

2015

  1. Conference
    Activity Identification and Local Linear Convergence of Douglas–Rachford/ADMM under Partial Smoothness
    In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2015
  2. Journal
    A note on the complexity of proximal iterative hard thresholding algorithm
    Xue Zhang , and Xiao-Qun Zhang
    Journal of the Operations Research Society of China, 2015

2014

  1. Conference
    Local Linear Convergence of Forward–Backward under Partial Smoothness
    Advances in Neural Information Processing Systems (NeurIPS), 2014

2013

  1. Journal
    A primal–dual fixed point algorithm for convex separable minimization with applications to image restoration
    Peijun Chen, Jianguo Huang, and Xiaoqun Zhang
    Inverse Problems, 2013
  2. Journal
    A primal-dual fixed point algorithm based on proximity operator for convex set constrained separable problem
    Peijun Chen, Jianguo Huang, and Xiaoqun Zhang
    J. Nanjing Norm. Univ. Nat. Sci. Ed, 2013

2011

  1. Journal
    A unified primal-dual algorithm framework based on Bregman iteration
    Xiaoqun Zhang, Martin Burger, and Stanley Osher
    Journal of Scientific Computing, 2011

2010

  1. Journal
    Bregmanized nonlocal regularization for deconvolution and sparse reconstruction
    Xiaoqun Zhang, Martin Burger, Xavier Bresson, and Stanley Osher
    SIAM Journal on Imaging Sciences, 2010
  2. Journal
    A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
    Ernie Esser, Xiaoqun Zhang, and Tony Chan
    SIAM Journal on Imaging Sciences, 2010

2024

  1. Preprint
    A Guide to Stochastic Optimisation for Large-Scale Inverse Problems
    arXiv preprint arXiv:2406.06342, 2024
  2. Journal
    A Scalable Sphere-Constrained Magnitude-Sparse SAR Imaging
    Ming Jiang, Jiaxuan Qu , Jinshan Ding, and Jingwei Liang
    Journal of Nonlinear & Variational Analysis, 2024
  3. Journal
    NF-ULA: Langevin Monte Carlo with normalizing flow prior for imaging inverse problems
    Ziruo Cai, Junqi Tang, Subhadip Mukherjee , Jinglai Li, Carola-Bibiane Schönlieb, and Xiaoqun Zhang
    SIAM Journal on Imaging Sciences, 2024
  4. Journal
    Vision graph u-net: Geometric learning enhanced encoder for medical image segmentation and restoration
    Yuanhong Jiang, Qiaoqiao DingYu Guang Wang, Pietro Lio, and Xiaoqun Zhang
    Inverse Problems and Imaging, 2024

2023

  1. Journal
    The prognostic value of splenic abnormalities in pretreatment 18F-FDG PET/CT in patients with complete response diffuse large B-cell lymphoma
    S Wang, H Ju, Y Bai , L Wang , Q Ding , P Li, and 2 more authors
    Clinical Radiology, 2023
  2. Preprint
    Automatic recognition of white blood cell images with memory efficient superpixel metric GNN: SMGNN
    Yuanhong Jiang , Yiqing Shen, Yu Guang Wang, and Qiaoqiao Ding
    2023
  3. Journal
    An orthogonal matching pursuit optimization method for solving minimum-monitor-unit problems: applications to proton IMPT, ARC and FLASH
    Ya-Nan ZhuXiaoqun Zhang, Yuting Lin, Chris Lominska, and Hao Gao
    Medical physics, 2023
  4. Conference
    AE-FLOW: Autoencoders with normalizing flows for medical images anomaly detection
    Yuzhong Zhao, Qiaoqiao Ding, and Xiaoqun Zhang
    International Conference on Learning Representations (ICLR), 2023
  5. Journal
    Sea-net: Structure-enhanced attention network for limited-angle cbct reconstruction of clinical projection data
    Dianlin Hu , Yikun Zhang , Wangyao Li , Weijie Zhang, Krishna Reddy, Qiaoqiao Ding, and 3 more authors
    IEEE Transactions on Instrumentation and Measurement, 2023

2022

  1. Journal
    TFPNP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
    Kaixuan Wei, Angelica Aviles-RiveroJingwei Liang, Ying Fu, Hua Huang, and Carola-Bibiane Schönlieb
    Journal of Machine Learning Research, 2022
  2. Journal
    Improving “Fast Iterative Shrinkage-Thresholding Algorithm”: Faster, Smarter, and Greedier
    SIAM Journal on Scientific Computing, 2022
  3. Journal
    Nomogram based on Clinical and Radiomics Data for Predicting Radiation-induced Temporal Lobe Injury in Patients with Non-metastatic Stage T4 Nasopharyngeal Carcinoma
    Xiang Bin , Chao hua Zhu , Yanyan Tang , Renyuan Li, Qiaoqiao Ding, and et. al.
    2022
  4. Journal
    Low-rank and framelet based sparsity decomposition for interventional MRI reconstruction
    Zhao He, Ya-Nan Zhu, Suhao Qiu , Tao Wang , Chencheng Zhang, Bomin Sun, and 2 more authors
    IEEE Transactions on Biomedical Engineering, 2022
  5. Journal
    A dataset-free deep learning method for low-dose CT image reconstruction
    Qiaoqiao Ding, Hui Ji, Yuhui Quan, and Xiaoqun Zhang
    Inverse Problems, 2022
  6. Conference
    Mri reconstruction by completing under-sampled k-space data with learnable fourier interpolation
    International Conference on Medical Image Computing and Computer-Assisted Intervention(MICCAI), 2022

2021

  1. Journal
    A Stochastic Alternating Direction Method of Multipliers for Non-smooth and Non-convex Optimization
    Fengmiao Bian, Jingwei Liang, and Xiaoqun Zhang
    Inverse Problems, 2021
  2. Journal
    A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization
    SIAM Journal on Imaging Sciences, 2021
  3. Journal
    Deep Learning with Adaptive Hyper-parameters for Low-Dose CT Image Reconstruction
    Qiaoqiao Ding, Yuesong Nan, Hao Gao, and Hui Ji
    IEEE Transactions on Computational Imaging, 2021
  4. Conference
    Learnable multi-scale fourier interpolation for sparse view ct image reconstruction
    Qiaoqiao Ding, Hui Ji, Hao Gao, and Xiaoqun Zhang
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
  5. Journal
    A stochastic variance reduced primal dual fixed point method for linearly constrained separable optimization
    SIAM Journal on Imaging Sciences, 2021
  6. Journal
    Image fusion network for dual-modal restoration
    Ying Zhang, Xuhua Ren, Bryan Alexander Clifford , Qian Wang, and Xiaoqun Zhang
    Inverse Problems and Imaging, 2021

2020

  1. Conference
    Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
    Kaixuan Wei, Angelica Aviles-RiveroJingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, and Hua Huang
    In International Conference on Machine Learning (ICML), 2020
  2. Journal
    Bayesian inference and uncertainty quantification for medical image reconstruction with Poisson data
    Qingping Zhou, Tengchao Yu, Xiaoqun Zhang , and Jinglai Li
    SIAM Journal on Imaging Sciences, 2020
  3. Journal
    An edge driven wavelet frame model for image restoration
    Jae Kyu Choi, Bin Dong, and Xiaoqun Zhang
    Applied and Computational Harmonic Analysis, 2020
  4. Journal
    Computer-aided diagnosis of gallbladder polyps based on high resolution ultrasonography
    Tao Chen, Shaoxiong Tu , Haolu Wang, Xuesong Liu , Fenghua Li, Wang Jin, and 3 more authors
    Computer methods and programs in biomedicine, 2020
  5. Journal
    Nonlocal TV-Gaussian prior for Bayesian inverse problems with applications to limited CT reconstruction.
    Didi Lv, Qingping Zhou, Jae Kyu Choi , Jinglai Li, and Xiaoqun Zhang
    Inverse Problems & Imaging, 2020
  6. Journal
    Low-dose CT with deep learning regularization via proximal forward–backward splitting
    Qiaoqiao Ding, Gaoyu Chen, Xiaoqun Zhang, Qiu Huang, Hui Ji, and Hao Gao
    Physics in Medicine & Biology, 2020
  7. Journal
    AirNet: fused analytical and iterative reconstruction with deep neural network regularization for sparse-data CT
    Gaoyu Chen, Xiang Hong, Qiaoqiao Ding , Yi Zhang, Hu Chen, Shujun Fu, and 5 more authors
    Medical physics, 2020
  8. Journal
    Variational bimodal image fusion with data-driven tight frame
    Ying Zhang, and Xiaoqun Zhang
    Information Fusion, 2020

2019

  1. Conference
    Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
    In Advances in Neural Information Processing Systems (NeurIPS), 2019
  2. Preprint
    NLTG priors in medical image: Nonlocal TV-Gaussian (NLTG) prior for Bayesian inverse problems with applications to limited CT reconstruction
    Didi Lv, Qingping Zhou, Jae Kyu Choi , Jinglai Li, and Xiaoqun Zhang
    arXiv preprint arXiv:1901.00262, 2019
  3. Journal
    Noise suppression in image-domain multi-material decomposition for dual-energy CT
    Yangkang Jiang, Yi Xue, Qihui Lyu, Lei Xu, Chen Luo, Pengfei Yang, and 5 more authors
    IEEE Transactions on Biomedical Engineering, 2019

2018

  1. Journal
    Image-domain multimaterial decomposition for dual-energy CT based on prior information of material images
    Qiaoqiao Ding, Tianye Niu, Xiaoqun Zhang, and Yong Long
    Medical physics, 2018
  2. Journal
    PET-MRI joint reconstruction by joint sparsity based tight frame regularization
    Jae Kyu Choi, Chenglong Bao, and Xiaoqun Zhang
    SIAM Journal on Imaging Sciences, 2018
  3. Preprint
    Statistical image reconstruction using mixed Poisson-Gaussian noise model for X-ray CT
    Qiaoqiao Ding, Yong Long, Xiaoqun Zhang, and Jeffrey A Fessler
    arXiv preprint arXiv:1801.09533, 2018
  4. Journal
    PET-MRI joint reconstruction with common edge weighted total variation regularization
    Ying Zhang, and Xiaoqun Zhang
    Inverse Problems, 2018
  5. Conference
    Image reconstruction by splitting deep learning regularization from iterative inversion
    Jiulong Liu, Tao Kuang, and Xiaoqun Zhang
    2018
  6. Journal
    Image-domain multi-material decomposition for dual-energy CT via total nuclear norm and \ell_0 norm
    Qiaoqiao Ding, Tianye Niu, Xiaoqun Zhang, and Yong Long
    Med Phys, 2018

2017

  1. Journal
    CUSTOM: A calibration region recovery approach for highly subsampled dynamic parallel magnetic resonance imaging
    Xue Zhang, Likun Hou, Hao Gao, and Xiaoqun Zhang
    Journal of Mathematical Imaging and Vision, 2017
  2. Journal
    Dynamic SPECT reconstruction with temporal edge correlation
    Qiaoqiao Ding, Martin Burger, and Xiaoqun Zhang
    Inverse Problems, 2017
  3. Preprint
    Image-domain multi-material decomposition for dual-energy ct based on correlation and sparsity of material images
    Qiaoqiao Ding, Tianye Niu, Xiaoqun Zhang, and Yong Long
    arXiv preprint arXiv:1710.07028, 2017

2016

  1. Journal
    Fast Sparse Reconstruction:Greedy Inverse Scale Space Flows
    Michael Moller, and Xiaoqun Zhang
    Math. Comp., 2016
  2. Journal
    Pansharpening image fusion using cross-channel correlation: A framelet-based approach
    Likun Hou, and Xiaoqun Zhang
    Journal of Mathematical Imaging and Vision, 2016
  3. Journal
    Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis
    Kun Hu , Yijue Wang, Kewei Chen, Likun Hou, and Xiaoqun Zhang
    Neurocomputing, 2016
  4. Preprint
    Limited tomography reconstruction via tight frame and sinogram extrapolation
    Jae Kyu Choi, Bin Dong, and Xiaoqun Zhang
    arXiv preprint arXiv:1602.07049, 2016
  5. Journal
    A two-stage low rank approach for calibrationless dynamic parallel magnetic resonance image reconstruction
    Likun Hou, Hao Gao, and Xiaoqun Zhang
    Journal of Scientific Computing, 2016
  6. Journal
    Simultaneous reconstruction and segmentation for dynamic SPECT imaging
    Martin Burger, Carolin Rossmanith, and Xiaoqun Zhang
    Inverse Problems, 2016
  7. Journal
    A wavelet frame method with shape prior for ultrasound video segmentation
    Jiulong Liu, Xiaoqun Zhang, Bin Dong, Zuowei Shen, and Lixu Gu
    SIAM Journal on Imaging Sciences, 2016
  8. Journal
    Modeling Mixed Poisson-Gaussian Noise in Statistical Image Reconstruction for X-Ray CT
    Qiaoqiao Ding, Yong Long, Xiaoqun Zhang, and Jeffrey A Fessler
    Arbor, 2016
  9. Journal
    TICMR: Total image constrained material reconstruction via nonlocal total variation regularization for spectral CT
    Jiulong Liu , Huanjun Ding, Sabee Molloi, Xiaoqun Zhang, and Hao Gao
    IEEE transactions on medical imaging, 2016
  10. Journal
    Image restoration by minimizing zero norm of wavelet frame coefficients
    Chenglong Bao, Bin Dong, Likun Hou, Zuowei ShenXiaoqun Zhang , and Xue Zhang
    Inverse problems, 2016
  11. Journal
    Operator splitting methods in compressive sensing and sparse approximation
    Tom Goldstein, and Xiaoqun Zhang
    Splitting Methods in Communication, Imaging, Science, and Engineering, 2016
  12. Journal
    A hybrid segmentation and d-bar method for electrical impedance tomography
    Sarah J Hamilton, Juan Manuel Reyes, Samuli Siltanen, and Xiaoqun Zhang
    SIAM Journal on Imaging Sciences, 2016

2015

  1. Journal
    Retinex by Higher Order Total Variation L1 Decomposition
    Journal of Mathematical Imaging and Vision, 2015
  2. Journal
    Dynamic SPECT reconstruction from few projections: a sparsity enforced matrix factorization approach
    Qiaoqiao Ding, Yunlong Zan, Qiu Huang, and Xiaoqun Zhang
    Inverse Problems, 2015
  3. Journal
    Interpolation and denoising of high-dimensional seismic data by learning a tight frame
    Siwei Yu, Jianwei MaXiaoqun Zhang, and Mauricio D Sacchi
    Geophysics, 2015
  4. Journal
    A reweighted l2 method for image restoration with Poisson and mixed Poisson-Gaussian noise
    Jia LiZuowei Shen, Rujie Yin, and Xiaoqun Zhang
    Inverse Problems and Imaging, 2015
  5. Journal
    5D respiratory motion model based image reconstruction algorithm for 4D cone-beam computed tomography
    Jiulong Liu , Xue Zhang, Xiaoqun Zhang, Hongkai Zhao, Yu Gao, David Thomas, and 2 more authors
    Inverse Problems, 2015

2014

  1. Journal
    Seismic Data Restoration via Data-driven Tight Frame
    Geophysics, 2014
  2. Journal
    Domain decomposition methods for nonlocal total variation image restoration
    Huibin Chang, Xiaoqun Zhang, Xue-Cheng Tai, and Danping Yang
    Journal of Scientific Computing, 2014
  3. Journal
    Nonlocal patch-based image inpainting through minimization of a sparsity promoting nonconvex functional
    ERNIE Esser , and XIAOQUN Zhang
    Dept. Math., Univ. California Irvine, Irvine, CA, USA, Tech. Rep, 2014
  4. Journal
    Forward–backward splitting method for quantitative photoacoustic tomography
    Xue Zhang, Weifeng Zhou, Xiaoqun Zhang, and Hao Gao
    Inverse problems, 2014

2013

  1. Journal
    Wavelet Frame Based Color Image Demosaicing
    Inverse Problems and Imaging, 2013
  2. Journal
    A primal–dual fixed point algorithm for convex separable minimization with applications to image restoration
    Peijun Chen, Jianguo Huang, and Xiaoqun Zhang
    Inverse Problems, 2013
  3. Journal
    Wavelet Frame Based Multiphase Image Segmentation
    Cheng Tai, Xiaoqun Zhang, and Zuowei Shen
    SIAM Journal on Imaging Sciences, 2013

2012

  1. Journal
    A Novel Sparsity Reconstruction Method from Poisson Data for 3D Bioluminescence Tomography
    Xiaoqun Zhang, Yujie Lu, and Tony Chan
    Journal of Scientific Computing, 2012

2011

  1. Journal
    A unified primal-dual algorithm framework based on Bregman iteration
    Xiaoqun Zhang, Martin Burger, and Stanley Osher
    Journal of Scientific Computing, 2011

2010

  1. Journal
    Bregmanized nonlocal regularization for deconvolution and sparse reconstruction
    Xiaoqun Zhang, Martin Burger, Xavier Bresson, and Stanley Osher
    SIAM Journal on Imaging Sciences, 2010
  2. Journal
    A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
    Ernie Esser, Xiaoqun Zhang, and Tony Chan
    SIAM Journal on Imaging Sciences, 2010
  3. Journal
    Image recovery via nonlocal operators
    Yifei Lou, Xiaoqun Zhang, Stanley Osher, and Andrea Bertozzi
    Journal of Scientific Computing, 2010
  4. Journal
    Wavelet inpainting by nonlocal total variation
    Xiaoqun Zhang, and Tony F Chan
    Inverse problems and Imaging, 2010

2009

  1. Journal
    Source reconstruction for spectrally-resolved bioluminescence tomography with sparse a priori information
    Yujie Lu, Xiaoqun Zhang, Ali Douraghy, David Stout, Jie Tian, Tony F Chan, and 1 more author
    Optics express, 2009

2005

  1. Conference
    Total variation based Fourier reconstruction and regularization for computer tomography
    Xiao-Qun Zhang, and Jacques Froment
    2005
  2. Conference
    Constrained total variation minimization and application in computerized tomography
    Xiao-Qun Zhang, and Jacques Froment
    2005

2004

  1. Journal
    The regularity of random graph directed self-similar sets
    Xiaoqun Zhang, and Yanyan Liu
    Acta Mathematica Scientia, 2004

2024

  1. Journal
    Federated Primal-Dual Fixed Point Algorithm
    SIAM Journal on Mathematics of Data Science, 2024
  2. Journal
    NF-ULA: Langevin Monte Carlo with normalizing flow prior for imaging inverse problems
    Ziruo Cai, Junqi Tang, Subhadip Mukherjee , Jinglai Li, Carola-Bibiane Schönlieb, and Xiaoqun Zhang
    SIAM Journal on Imaging Sciences, 2024
  3. Journal
    On the Convergence of Continuous and Discrete Unbalanced Optimal Transport Models for 1-Wasserstein Distance
    Zhe Xiong , Lei Li, Ya-Nan Zhu, and Xiaoqun Zhang
    SIAM Journal on Numerical Analysis, 2024
  4. Journal
    Vision graph u-net: Geometric learning enhanced encoder for medical image segmentation and restoration
    Yuanhong Jiang, Qiaoqiao DingYu Guang Wang, Pietro Lio, and Xiaoqun Zhang
    Inverse Problems and Imaging, 2024

2023

  1. Journal
    A Distance Function Based Cascaded Neural Network for Accurate Polyps Segmentation and Classification
    Yuanhong Jiang, Jingwei Liang, Weiqi Xiong , Qiwei Li , Yijue Zhang, Tao Chen, and 1 more author
    Inverse Problems and Imaging, 2023
  2. Conference
    Robust Graph Representation Learning for Local Corruption Recovery
    Bingxin Zhou , Yuanhong Jiang, Yuguang WangJingwei Liang, Junbin Gao, Shirui Pan, and 1 more author
    In Proceedings of the ACM Web Conference, 2023
  3. Journal
    The prognostic value of splenic abnormalities in pretreatment 18F-FDG PET/CT in patients with complete response diffuse large B-cell lymphoma
    S Wang, H Ju, Y Bai , L Wang , Q Ding , P Li, and 2 more authors
    Clinical Radiology, 2023
  4. Preprint
    Automatic recognition of white blood cell images with memory efficient superpixel metric GNN: SMGNN
    Yuanhong Jiang , Yiqing Shen, Yu Guang Wang, and Qiaoqiao Ding
    2023
  5. Preprint
    Approximate primal-dual fixed-point based langevin algorithms for non-smooth convex potentials
    Ziruo Cai , Jinglai Li, and Xiaoqun Zhang
    arXiv preprint arXiv:2304.04544, 2023
  6. Preprint
    On the convergence of continuous and discrete unbalanced optimal transport models
    Zhe Xiong , Lei Li, Ya-Nan Zhu, and Xiaoqun Zhang
    arXiv preprint arXiv:2303.17267, 2023
  7. Conference
    AE-FLOW: Autoencoders with normalizing flows for medical images anomaly detection
    Yuzhong Zhao, Qiaoqiao Ding, and Xiaoqun Zhang
    International Conference on Learning Representations (ICLR), 2023
  8. Journal
    Sea-net: Structure-enhanced attention network for limited-angle cbct reconstruction of clinical projection data
    Dianlin Hu , Yikun Zhang , Wangyao Li , Weijie Zhang, Krishna Reddy, Qiaoqiao Ding, and 3 more authors
    IEEE Transactions on Instrumentation and Measurement, 2023
  9. Journal
    Binary quantized network training with sharpness-aware minimization
    Ren Liu, Fengmiao Bian, and Xiaoqun Zhang
    Journal of Scientific Computing, 2023
  10. Conference
    PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection
    Zhe Xiong, Qiaoqiao Ding, Yuzhong Zhao, and Xiaoqun Zhang
    International Workshop on Computational Mathematics Modeling in Cancer Analysis, 2023
  11. Preprint
    SyMOT-Flow: Learning optimal transport flow for two arbitrary distributions with maximum mean discrepancy
    Zhe Xiong, Qiaoqiao Ding, and Xiaoqun Zhang
    arXiv preprint arXiv:2308.13815, 2023

2022

  1. Journal
    Variable Screening for Sparse Online Regression
    Journal of Computational and Graphical Statistics, 2022
  2. Journal
    On Biased Stochastic Gradient Estimation
    Journal of Machine Learning Research, 2022
  3. Journal
    TFPNP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
    Kaixuan Wei, Angelica Aviles-RiveroJingwei Liang, Ying Fu, Hua Huang, and Carola-Bibiane Schönlieb
    Journal of Machine Learning Research, 2022
  4. Journal
    Nomogram based on Clinical and Radiomics Data for Predicting Radiation-induced Temporal Lobe Injury in Patients with Non-metastatic Stage T4 Nasopharyngeal Carcinoma
    Xiang Bin , Chao hua Zhu , Yanyan Tang , Renyuan Li, Qiaoqiao Ding, and et. al.
    2022
  5. Preprint
    A stochastic three-block splitting algorithm and its application to quantized deep neural networks
    Fengmiao Bian, Ren Liu, and Xiaoqun Zhang
    arXiv preprint arXiv:2204.11065, 2022

2021

  1. Journal
    Deep Learning with Adaptive Hyper-parameters for Low-Dose CT Image Reconstruction
    Qiaoqiao Ding, Yuesong Nan, Hao Gao, and Hui Ji
    IEEE Transactions on Computational Imaging, 2021
  2. Conference
    Learnable multi-scale fourier interpolation for sparse view ct image reconstruction
    Qiaoqiao Ding, Hui Ji, Hao Gao, and Xiaoqun Zhang
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021

2020

  1. Conference
    Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
    Kaixuan Wei, Angelica Aviles-RiveroJingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, and Hua Huang
    In International Conference on Machine Learning (ICML), 2020
  2. Preprint
    Semi-Implicit Back Propagation
    Ren Liu, and Xiaoqun Zhang
    arXiv preprint arXiv:2002.03516, 2020
  3. Journal
    AirNet: fused analytical and iterative reconstruction with deep neural network regularization for sparse-data CT
    Gaoyu Chen, Xiang Hong, Qiaoqiao Ding , Yi Zhang, Hu Chen, Shujun Fu, and 5 more authors
    Medical physics, 2020

2018

  1. Conference
    Local Convergence Properties of SAGA/Prox-SVRG and Acceleration
    In International Conference on Machine Learning (ICML), 2018
  2. Journal
    Image-domain multimaterial decomposition for dual-energy CT based on prior information of material images
    Qiaoqiao Ding, Tianye Niu, Xiaoqun Zhang, and Yong Long
    Medical physics, 2018