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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j38]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)- [j37]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): 820-860 (2024) - [j36]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): 749-774 (2024) - [j35]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Large language models as surrogate models in evolutionary algorithms: A preliminary study. Swarm Evol. Comput. 91: 101741 (2024) - [c9]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis. CEC 2024: 1-9 - [c8]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: 1008-1010 - [i17]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis. CoRR abs/2403.14413 (2024) - [i16]Hao Hao, Xiaoqun Zhang, Bingdong Li, Aimin Zhou:
A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms. CoRR abs/2405.16494 (2024) - [i15]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study. CoRR abs/2406.10675 (2024) - [i14]Xiang Cao, Qiaoqiao Ding, Xiaoqun Zhang:
Dual-Domain Deep D-bar Method for Solving Electrical Impedance Tomography. CoRR abs/2407.03335 (2024) - [i13]Xiang Cao, Xiaoqun Zhang:
Subspace Diffusion Posterior Sampling for Travel-Time Tomography. CoRR abs/2408.17333 (2024) - [i12]Chaozhi Zhang, Lin Liu, Xiaoqun Zhang:
Few-shot Multi-Task Learning of Linear Invariant Features with Meta Subspace Pursuit. CoRR abs/2409.02708 (2024) - [i11]Zhe Xiong, Qiaoqiao Ding, Xiaoqun Zhang:
Bi-modality Images Transfer with a Discrete Process Matching Method. CoRR abs/2409.03977 (2024) - 2023
- [j34]Ren Liu, Fengmiao Bian, Xiaoqun Zhang:
Binary Quantized Network Training With Sharpness-Aware Minimization. J. Sci. Comput. 94(1): 16 (2023) - [j33]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: 1-13 (2023) - [c7]Yuzhong Zhao, Qiaoqiao Ding, Xiaoqun Zhang:
AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection. ICLR 2023 - [c6]Zhe Xiong, Qiaoqiao Ding, Yuzhong Zhao, Xiaoqun Zhang:
PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection. CMMCA@MICCAI 2023: 91-100 - [c5]Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang:
Robust Graph Representation Learning for Local Corruption Recovery. WWW 2023: 438-448 - [i10]Zhe Xiong, Lei Li, Ya-Nan Zhu, Xiaoqun Zhang:
On the convergence of continuous and discrete unbalanced optimal transport models. CoRR abs/2303.17267 (2023) - [i9]Ziruo Cai, Jinglai Li, Xiaoqun Zhang:
Approximate Primal-Dual Fixed-Point based Langevin Algorithms for Non-smooth Convex Potentials. CoRR abs/2304.04544 (2023) - [i8]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 abs/2304.08342 (2023) - [i7]Zhe Xiong, Qiaoqiao Ding, Xiaoqun Zhang:
SyMOT-Flow: Learning optimal transport flow for two arbitrary distributions with maximum mean discrepancy. CoRR abs/2308.13815 (2023) - [i6]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Enhancing SAEAs with Unevaluated Solutions: A Case Study of Relation Model for Expensive Optimization. CoRR abs/2309.11994 (2023) - 2022
- [j32]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): 2294-2304 (2022) - [c4]Qiaoqiao Ding, Xiaoqun Zhang:
MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation. MICCAI (6) 2022: 676-685 - [i5]Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang:
Graph Neural Network for Local Corruption Recovery. CoRR abs/2202.04936 (2022) - [i4]Qiaoqiao Ding, Hui Ji, Yuhui Quan, Xiaoqun Zhang:
Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction. CoRR abs/2205.00463 (2022) - 2021
- [j31]Fengmiao Bian, Xiaoqun Zhang:
A parameterized Douglas-Rachford splitting algorithm for nonconvex optimization. Appl. Math. Comput. 410: 126425 (2021) - [j30]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): 1326-1353 (2021) - [j29]Fengmiao Bian, Xiaoqun Zhang:
A Three-Operator Splitting Algorithm for Nonconvex Sparsity Regularization. SIAM J. Sci. Comput. 43(4): A2809-A2839 (2021) - [j28]Xiaoqun Zhang:
Broadband and economic growth in China: An empirical study during the COVID-19 pandemic period. Telematics Informatics 58: 101533 (2021) - [c3]Qiaoqiao Ding, Hui Ji, Hao Gao, Xiaoqun Zhang:
Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction. MICCAI (6) 2021: 286-295 - [i3]Xue Zhang, Xiaoqun Zhang:
Variable metric extrapolation proximal iterative hard thresholding method for 𝓁0 minimization problem. CoRR abs/2108.03365 (2021) - 2020
- [j27]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: 105118 (2020) - [j26]Xiaoqun Zhang:
Investigating the Broadband Divide of OECD Countries: A Representative Agent Perspective. Int. J. Technol. Diffusion 11(1): 29-46 (2020) - [j25]Ying Zhang, Xiaoqun Zhang:
Variational bimodal image fusion with data-driven tight frame. Inf. Fusion 55: 164-172 (2020) - [j24]Ya-Nan Zhu, Xiaoqun Zhang:
Stochastic Primal Dual Fixed Point Method for Composite Optimization. J. Sci. Comput. 84(1): 16 (2020) - [j23]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): 29-52 (2020) - [j22]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): 523-535 (2020) - [i2]Ren Liu, Xiaoqun Zhang:
Semi-Implicit Back Propagation. CoRR abs/2002.03516 (2020)
2010 – 2019
- 2019
- [j21]Xue Zhang, Xiaoqun Zhang:
A New Proximal Iterative Hard Thresholding Method with Extrapolation for ℓ0 Minimization. J. Sci. Comput. 79(2): 809-826 (2019) - 2018
- [j20]Xiaoqun Zhang:
Estimating the Weights of Media Tonalities in the Measurement of Media Coverage of Corporations. Commun. Res. 45(7): 987-1011 (2018) - [j19]Jae Kyu Choi, Chenglong Bao, Xiaoqun Zhang:
PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame Regularization. SIAM J. Imaging Sci. 11(2): 1179-1204 (2018) - [c2]Jiulong Liu, Tao Kuang, Xiaoqun Zhang:
Image Reconstruction by Splitting Deep Learning Regularization from Iterative Inversion. MICCAI (1) 2018: 224-231 - 2017
- [j18]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): 366-380 (2017) - [j17]Xiaoqun Zhang:
Exploring the patterns and determinants of the global mobile divide. Telematics Informatics 34(1): 438-449 (2017) - [i1]Jae Kyu Choi, Bin Dong, Xiaoqun Zhang:
An Edge Driven Wavelet Frame Model for Image Restoration. CoRR abs/1701.07158 (2017) - 2016
- [j16]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: 132-145 (2016) - [j15]Likun Hou, Xiaoqun Zhang:
Pansharpening Image Fusion Using Cross-Channel Correlation: A Framelet-Based Approach. J. Math. Imaging Vis. 55(1): 36-49 (2016) - [j14]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): 1014-1032 (2016) - [j13]Michael Möller, Xiaoqun Zhang:
Fast sparse reconstruction: Greedy inverse scale space flows. Math. Comput. 85(297): 179-208 (2016) - [j12]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: 129-138 (2016) - [j11]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): 495-519 (2016) - [j10]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): 2578-2586 (2016) - 2015
- [j9]Jingwei Liang, Xiaoqun Zhang:
Retinex by Higher Order Total Variation L1 Decomposition. J. Math. Imaging Vis. 52(3): 345-355 (2015) - 2014
- [j8]Huibin Chang, Xiaoqun Zhang, Xue-Cheng Tai, Danping Yang:
Domain Decomposition Methods for Nonlocal Total Variation Image Restoration. J. Sci. Comput. 60(1): 79-100 (2014) - 2013
- [j7]Cheng Tai, Xiaoqun Zhang, Zuowei Shen:
Wavelet Frame Based Multiphase Image Segmentation. SIAM J. Imaging Sci. 6(4): 2521-2546 (2013) - 2012
- [j6]Xiaoqun Zhang, Yujie Lu, Tony F. Chan:
A Novel Sparsity Reconstruction Method from Poisson Data for 3D Bioluminescence Tomography. J. Sci. Comput. 50(3): 519-535 (2012) - [j5]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): 259 (2012) - 2011
- [j4]Xiaoqun Zhang, Martin Burger, Stanley J. Osher:
A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration. J. Sci. Comput. 46(1): 20-46 (2011) - 2010
- [j3]Yifei Lou, Xiaoqun Zhang, Stanley J. Osher, Andrea L. Bertozzi:
Image Recovery via Nonlocal Operators. J. Sci. Comput. 42(2): 185-197 (2010) - [j2]Xiaoqun Zhang, Martin Burger, Xavier Bresson, Stanley J. Osher:
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction. SIAM J. Imaging Sci. 3(3): 253-276 (2010) - [j1]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): 1015-1046 (2010) - [c1]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: 1120-1123
Coauthor Index
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