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Xiaoqun Zhang
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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
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
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
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
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
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
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
Low-Rank and Framelet Based Sparsity Decomposition for Interventional MRI Reconstruction. IEEE Trans. Biomed. Eng. 69(7): 2294-2304 (2022) - [c4]Qiaoqiao Ding
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
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
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
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
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
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
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
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
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
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
Domain Decomposition Methods for Nonlocal Total Variation Image Restoration. J. Sci. Comput. 60(1): 79-100 (2014) - 2013
- [j7]Cheng Tai, Xiaoqun Zhang
Wavelet Frame Based Multiphase Image Segmentation. SIAM J. Imaging Sci. 6(4): 2521-2546 (2013) - 2012
- [j6]Xiaoqun Zhang
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
A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration. J. Sci. Comput. 46(1): 20-46 (2011) - 2010
- [j3]Yifei Lou
Image Recovery via Nonlocal Operators. J. Sci. Comput. 42(2): 185-197 (2010) - [j2]Xiaoqun Zhang
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction. SIAM J. Imaging Sci. 3(3): 253-276 (2010) - [j1]Ernie Esser, Xiaoqun Zhang
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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last updated on 2024-11-07 20:32 CET by the dblp team
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