Xiaoqun Zhang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 50

Top Topics

Image Reconstruction

Inverse Problems

Magnetic Resonance

Evolutionary Optimization

Top Venues

SIAM J. Imaging Sci.

J. Sci. Comput.

J. Math. Imaging Vis.

Publications

Zhe Xiong, Lei Li, Ya-Nan Zhu, Xiaoqun Zhang
On the Convergence of Continuous and Discrete Unbalanced Optimal Transport Models for 1-Wasserstein Distance. SIAM J. Numer. Anal. 62 (2) (2024)
Xiaoqun Zhang, Miyoung Chong, Loni Hagen, Haihua Chen
A Framework for Assessing Country Reputation: Case Study of China during the COVID-19 Pandemic. DG.O (2024)
Hao Hao, Xiaoqun Zhang, Aimin Zhou
Enhancing SAEAs with unevaluated solutions: a case study of relation model for expensive optimization. Sci. China Inf. Sci. 67 (2) (2024)
Hao Hao, Xiaoqun Zhang, Bingdong Li, Aimin Zhou
A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms. CoRR (2024)
Hao Hao, Xiaoqun Zhang, Aimin Zhou
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis. CEC (2024)
Hao Hao, Xiaoqun Zhang, Aimin Zhou
Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study. CoRR (2024)
Hao Hao, Xiaoqun Zhang, Aimin Zhou
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis. CoRR (2024)
Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola-Bibiane Schönlieb, Xiaoqun Zhang
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems. SIAM J. Imaging Sci. 17 (2) (2024)
Xiang Cao, Qiaoqiao Ding, Xiaoqun Zhang
Dual-Domain Deep D-bar Method for Solving Electrical Impedance Tomography. CoRR (2024)
Ren Liu, Fengmiao Bian, Xiaoqun Zhang
Binary Quantized Network Training With Sharpness-Aware Minimization. J. Sci. Comput. 94 (1) (2023)
Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
Robust Graph Representation Learning for Local Corruption Recovery. WWW (2023)
Zhe Xiong, Lei Li, Ya-Nan Zhu, Xiaoqun Zhang
On the convergence of continuous and discrete unbalanced optimal transport models. CoRR (2023)
Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola Bibiane Schönlieb, Xiaoqun Zhang
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems. CoRR (2023)
Zhe Xiong, Qiaoqiao Ding, Xiaoqun Zhang
SyMOT-Flow: Learning optimal transport flow for two arbitrary distributions with maximum mean discrepancy. CoRR (2023)
Yuzhong Zhao, Qiaoqiao Ding, Xiaoqun Zhang
AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection. ICLR (2023)
Zhe Xiong, Qiaoqiao Ding, Yuzhong Zhao, Xiaoqun Zhang
PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection. CMMCA@MICCAI (2023)
Hao Hao, Xiaoqun Zhang, Aimin Zhou
Enhancing SAEAs with Unevaluated Solutions: A Case Study of Relation Model for Expensive Optimization. CoRR (2023)
Ziruo Cai, Jinglai Li, Xiaoqun Zhang
Approximate Primal-Dual Fixed-Point based Langevin Algorithms for Non-smooth Convex Potentials. CoRR (2023)
Dianlin Hu, Yikun Zhang, Wangyao Li, Weijie Zhang, Krishna Reddy, Qiaoqiao Ding, Xiaoqun Zhang, Yang Chen, Hao Gao
SEA-Net: Structure-Enhanced Attention Network for Limited-Angle CBCT Reconstruction of Clinical Projection Data. IEEE Trans. Instrum. Meas. 72 (2023)
Qiaoqiao Ding, Xiaoqun Zhang
MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation. MICCAI (6) (2022)
Zhao He, Ya-Nan Zhu, Suhao Qiu, Tao Wang, Chencheng Zhang, Bomin Sun, Xiaoqun Zhang, Yuan Feng
Low-Rank and Framelet Based Sparsity Decomposition for Interventional MRI Reconstruction. IEEE Trans. Biomed. Eng. 69 (7) (2022)
Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
Graph Neural Network for Local Corruption Recovery. CoRR (2022)
Qiaoqiao Ding, Hui Ji, Yuhui Quan, Xiaoqun Zhang
Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction. CoRR (2022)
Qiaoqiao Ding, Hui Ji, Hao Gao, Xiaoqun Zhang
Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction. MICCAI (6) (2021)
Xue Zhang, Xiaoqun Zhang
minimization problem. CoRR (2021)
Fengmiao Bian, Xiaoqun Zhang
A Three-Operator Splitting Algorithm for Nonconvex Sparsity Regularization. SIAM J. Sci. Comput. 43 (4) (2021)
Xiaoqun Zhang
Broadband and economic growth in China: An empirical study during the COVID-19 pandemic period. Telematics Informatics 58 (2021)
Fengmiao Bian, Xiaoqun Zhang
A parameterized Douglas-Rachford splitting algorithm for nonconvex optimization. Appl. Math. Comput. 410 (2021)
Ya-nan Zhu, Xiaoqun Zhang
A Stochastic Variance Reduced Primal Dual Fixed Point Method for Linearly Constrained Separable Optimization. SIAM J. Imaging Sci. 14 (3) (2021)
Ren Liu, Xiaoqun Zhang
Semi-Implicit Back Propagation. CoRR (2020)
Qingping Zhou, Tengchao Yu, Xiaoqun Zhang, Jinglai Li
Bayesian Inference and Uncertainty Quantification for Medical Image Reconstruction with Poisson Data. SIAM J. Imaging Sci. 13 (1) (2020)
Yangkang Jiang, Xiaoqun Zhang, Ke Sheng, Tianye Niu, Yi Xue, Qihui Lyu, Lei Xu, Chen Luo, Pengfei Yang, Chunlin Yang, Jing Wang, Xi Hu
Noise Suppression in Image-Domain Multi-Material Decomposition for Dual-Energy CT. IEEE Trans. Biomed. Eng. 67 (2) (2020)
Xiaoqun Zhang
Investigating the Broadband Divide of OECD Countries: A Representative Agent Perspective. Int. J. Technol. Diffusion 11 (1) (2020)
Tao Chen, Shaoxiong Tu, Haolu Wang, Xuesong Liu, Fenghua Li, Wang Jin, Xiaowen Liang, Xiaoqun Zhang, Jian Wang
Computer-aided diagnosis of gallbladder polyps based on high resolution ultrasonography. Comput. Methods Programs Biomed. 185 (2020)
Ying Zhang, Xiaoqun Zhang
Variational bimodal image fusion with data-driven tight frame. Inf. Fusion 55 (2020)
Ya-nan Zhu, Xiaoqun Zhang
Stochastic Primal Dual Fixed Point Method for Composite Optimization. J. Sci. Comput. 84 (1) (2020)
Xue Zhang, Xiaoqun Zhang
Minimization. J. Sci. Comput. 79 (2) (2019)
Jiulong Liu, Tao Kuang, Xiaoqun Zhang
Image Reconstruction by Splitting Deep Learning Regularization from Iterative Inversion. MICCAI (1) (2018)
Xiaoqun Zhang
Estimating the Weights of Media Tonalities in the Measurement of Media Coverage of Corporations. Commun. Res. 45 (7) (2018)
Jae Kyu Choi, Chenglong Bao, Xiaoqun Zhang
PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame Regularization. SIAM J. Imaging Sci. 11 (2) (2018)
Xue Zhang, Likun Hou, Hao Gao, Xiaoqun Zhang
CUSTOM: A Calibration Region Recovery Approach for Highly Subsampled Dynamic Parallel Magnetic Resonance Imaging. J. Math. Imaging Vis. 57 (3) (2017)
Jae Kyu Choi, Bin Dong, Xiaoqun Zhang
An Edge Driven Wavelet Frame Model for Image Restoration. CoRR (2017)
Xiaoqun Zhang
Exploring the patterns and determinants of the global mobile divide. Telematics Informatics 34 (1) (2017)
Mohammadreza Shariatgorji, Nicole Strittmatter, Anna Nilsson, Patrik Källback, Alexandra Alvarsson, Xiaoqun Zhang, Theodosia Vallianatou, Per Svenningsson, Richard J. A. Goodwin, Per E. Andrén
Simultaneous imaging of multiple neurotransmitters and neuroactive substances in the brain by desorption electrospray ionization mass spectrometry. NeuroImage 136 (2016)
Jiulong Liu, Xiaoqun Zhang, Bin Dong, Zuowei Shen, Lixu Gu
A Wavelet Frame Method with Shape Prior for Ultrasound Video Segmentation. SIAM J. Imaging Sci. 9 (2) (2016)
Jiulong Liu, Huanjun Ding, Sabee Molloi, Xiaoqun Zhang, Hao Gao
TICMR: Total Image Constrained Material Reconstruction via Nonlocal Total Variation Regularization for Spectral CT. IEEE Trans. Medical Imaging 35 (12) (2016)
Likun Hou, Hao Gao, Xiaoqun Zhang
A Two-Stage Low Rank Approach for Calibrationless Dynamic Parallel Magnetic Resonance Image Reconstruction. J. Sci. Comput. 69 (3) (2016)
Likun Hou, Xiaoqun Zhang
Pansharpening Image Fusion Using Cross-Channel Correlation: A Framelet-Based Approach. J. Math. Imaging Vis. 55 (1) (2016)
Kun Hu, Yijue Wang, Kewei Chen, Likun Hou, Xiaoqun Zhang
Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis. Neurocomputing 175 (2016)
Michael Möller, Xiaoqun Zhang
Fast sparse reconstruction: Greedy inverse scale space flows. Math. Comput. 85 (297) (2016)
Jingwei Liang, Xiaoqun Zhang
Decomposition. J. Math. Imaging Vis. 52 (3) (2015)
Huibin Chang, Xiaoqun Zhang, Xue-Cheng Tai, Danping Yang
Domain Decomposition Methods for Nonlocal Total Variation Image Restoration. J. Sci. Comput. 60 (1) (2014)
Cheng Tai, Xiaoqun Zhang, Zuowei Shen
Wavelet Frame Based Multiphase Image Segmentation. SIAM J. Imaging Sci. 6 (4) (2013)
Xiaoqun Zhang, Yujie Lu, Tony F. Chan
A Novel Sparsity Reconstruction Method from Poisson Data for 3D Bioluminescence Tomography. J. Sci. Comput. 50 (3) (2012)
Xiaoqun Zhang, Yujie Lu, Tony F. Chan
Erratum to: A Novel Sparsity Reconstruction Method from Poisson Data for 3D Bioluminescence Tomography. J. Sci. Comput. 51 (1) (2012)
Xiaoqun Zhang, Martin Burger, Stanley J. Osher
A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration. J. Sci. Comput. 46 (1) (2011)
Yifei Lou, Xiaoqun Zhang, Stanley J. Osher, Andrea L. Bertozzi
Image Recovery via Nonlocal Operators. J. Sci. Comput. 42 (2) (2010)
Xiaoqun Zhang, Martin Burger, Xavier Bresson, Stanley J. Osher
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction. SIAM J. Imaging Sci. 3 (3) (2010)
Daowen Ren, Xiaoqun Zhang, Jianhua Yi
Empirical Analysis on SME's Innovative Efficiency - A Case of SMEs in Guangdong Cluster of Materials Industry. ICEE (2010)
Ernie Esser, Xiaoqun Zhang, Tony F. Chan
A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science. SIAM J. Imaging Sci. 3 (4) (2010)