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个人简介

Short Curriculum Vitae School of Mathematical Sciences and Institute of Natural Sciences, Shanghai Jiao Tong University Jan 2017 - Now: Professor School of Mathematical Sciences and Institute of Natural Sciences, Shanghai Jiao Tong University Jul. 2010 - Dec 2016 : Distinguished Research Fellow (Associate Professor) Department of Mathematics, University of California, Los Angeles. Jul. 2007 - Jul 2010 : CAM Adjunct Assistant professor Laboratory of mathematics and applications of mathematics, University of South Brittany, France Sep. 2006 - Jun. 2007: Temporary Assistant professor(ATER). Oct. 2003 - Nov. 2006: PhD. in applied mathematics. School of mathematics and statistics, Wuhan University, China. Sept. 2000 - July 2003: M. S in applied mathematics. Sept. 1996 - July 2000: B. S in computational mathematics. Preprints Qiaoqiao Ding, Yong Long, Xiaoqun Zhang and Jeffrey A. Fessler Statistical Image Reconstruction Using Mixed Poisson-Gaussian Noise Model for X-Ray CT, submitted, Jan 2018. arxiv Ernie Esser, Xiaoqun Zhang. Nonlocal Patch-based Image inpainting through minimization of a sparsity promoting nonconvex functional pdf Teaching 2010- Shanghai Jiao Tong University 2019 Spring: Optimization methods (graduate) 2018 Fall: Optimization methods (international graduate students) 2017 Fall: Optimization methods (international graduate students) 2017 Spring: Optimization methods (graduate) 2016 Fall: Optimization methods (graduate) 2015 Fall: Scientific computing (undergraduate) 2015 Fall: Convex Optimization (graduate) 2015 Spring: Numerical analysis and programming(undergraduate) 2014 Fall: Scientific computing (undergraduate) 2014 Fall: Convex Optimization (graduate) 2013 Fall: Scientific computing 2013 Fall: Convex Optimization (graduate) 2012 Fall: Scientific computing (undergraduate) 2012 Fall: Convex Optimization (graduate) 2011 Fall: Numerical analysis (undergraduate) 2010 Fall: Optimization (graduate) 2007 Fall-2010 Spring, University of California, Los Angeles 2007 Fall: MATH115A Lec 4, Linear Algebra. 2008 Winter: MATH33A Lec 2, Linear Algebra and applications. 2008 Fall: MATH164 Lec 1, Optimization. 2009 Spring: MATH 115A Lec 2, Linear Algebra 2010 Winter: MATH 151A Lec 1, Applied Numerical methods 2010 Spring: MATH 164 Lec 1, Optimization Mentor RIPS2008 RIPS2009

研究领域

Data science and optimization Mathematical Imaging and Medical Imaging Inverse Problems and Variational Methods Computational Harmonic Analysis, Compressive Sensing

近期论文

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Yuzhong Zhao, Qiaoqiao Ding, Xiaoqun Zhang. AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection. ICLR 2023, accepted Yuanhong Jiang, Jingwei Liang, Weiqi Xiong, Qiwei Li, Yijue Zhang, Tao Chen, and Xiaoqun Zhang A distance function based cascaded neural network for accurate polyps segmentation and classification. Inverse problems and Imaging. Volume 17, Issue 3: 646-659. 2023. 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 Transactions on Biomedical Engineering, vol. 69, no. 7, pp. 2294-2304, July 2022 Qiaoqiao Ding, Hui Ji, Yuhui Quan, Xiaoqun Zhang. A dataset-free deep learning method for low-dose CT image reconstruction. Inverse Problems. 38 104003. 2022 Qiaoqiao Ding, Xiaoqun Zhang. MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation. MICCAI, Sep. 2022, Singapore. [Conference proceeding] Qiaoqiao Ding, Hui Ji, Hao Gao and Xiaoqun Zhang. Learnable multi-scale Fourier interpolation for sparse view CT image reconstruction. MICCAI, Oct. 2021, France. [Conference proceeding] Gaoyu Chen,Xiang Hong,Qiaoqiao Ding,Yi Zhang,Hu Chen,Shujun Fu,Yunsong Zhao,Xiaoqun Zhang,Hui Ji,Ge Wang,Qiu Huang,Hao Gao. AirNet: Fused analytical and iterative reconstruction with deep neural network regularization for sparse-data CT. Med Phys. 2020 Jul; 47(7):2916-2930. Qiaoqiao Ding, Gaoyu Chen, Xiaoqun Zhang, Qiu Huang, Hui Ji, Hao Gao. Low-dose CT with deep learning regularization via proximal forward backward splitting. Physics in Medicine & Biology, 65(12), 125009, Jun., 2020 Jae Kyu Choi, Bin Dong and Xiaoqun Zhang. An Edge Driven Wavelet Frame Model for Image Restoration. Applied and Computational Harmonic Analysis . Volume 48, Issue 3, May 2020, Pages 993-102. arxiv, MATLAB Codes (for deblurring and inpainting) Ying Zhang, Xiaoqun Zhang. Variational Bi-modal Images Fusion with Data Driven Tight Frame, Information Fusion, Volume 55, March 2020, Pages 164-172 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. Computer Methods and Programs in Biomedicine. Volume 185, March 2020, 105118. Didi Lv, Qingping Zhou, Jae Kyu Choi, Jinglai Li, Xiaoqun Zhang. NLTG Priors in Medical Image: Nonlocal TV-Gaussian (NLTG) prior for Bayesian inverse problems with applications to Limited CT Reconstruction.Inverse problems and Imaging. February 2020, 14(1): 117-132. doi: 10.3934/ipi.2019066 arxiv Qingping Zhou, Tengchao Yu, Xiaoqun Zhang, Jinglai Li.Bayesian inference and uncertainty quantification for image reconstruction with Poisson data. SIAM J. Imaging Sci., 13(1), 29–52. (24 pages) arxiv Jiulong Liu, Tao Kuang, Xiaoqun Zhang. Image Reconstruction by Splitting Deep Learning Regularization from Iterative Inversion. MICCAI Sep. 2018, Spain [Conference proceeding] Qiaoqiao Ding, Tianye Niu, Xiaoqun Zhang, Yong Long. Image-domain multimaterial decomposition for dual‐energy CT based on prior information of material images. Medical Physics , Volume45, Issue 8. August 2018,Pages 3614-3626. 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 , arxiv Ying Zhang, Xiaoqun Zhang, PET-MRI joint reconstruction with common edge weighted total variation regularization. Inverse Problems , Volume 34, Number 6 董彬、沈佐伟、张小群,图象恢复问题中的数学方法,中科院数学所讲座系列(席南华主编),科学出版社,2017. [Book chapter] Qiaoqiao Ding, Martin Burger, Xiaoqun Zhang. Dynamic SPECT reconstruction with temporal edge correlation. Inverse Problems. November 2017. DOI: 10.1088/1361-6420/aa9a94.pdf Qiaoqiao Ding, Tianye Niu, Xiaoqun Zhang and Yong Long, Image-domain multile-material decomposition for dual-energy CT via total nuclear norm and L0 norm , FULLY3D 2017 CONFERENCE PROCEEDINGS pdf[Conference proceeding] Xue Zhang, Likun Hou, Hao Gao, Xiaoqun Zhang. CUSTOM: A calibration region recovery approach for highly subsampled dynamic parallel magnetic resonance imaging, Journal of Mathematical Imaging and Vision, March 2017, Volume 57, Issue 3, pp 366–380 pdf Qiaoqiao Ding, Yong Long, Xiaoqun Zhang and Jeffrey A. Fessler Modeling Mixed Poisson-Gaussian Noise in Statistical Image Reconstruction for X-Ray CT. The 4th International Conference on Image Formation in X-Ray Computed Tomography onference Proceedings. pdf[Conference proceeding] 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 Transactions on Medical Imaging. Volume: 35, Issue: 12, Dec. 2016 pdf Jae-Kyu Choi, Bin Dong, Xiaoqun Zhang. Limited Tomography Reconstruction via Tight Frame and Sinogram Extrapolation. Journal of Computational Mathematics, No. 6, 34 (2016). pdf Martin Burger, Carolin Rossmanith, Xiaoqun Zhang. Simultaneous Reconstruction and Segmentation for Dynamic SPECT Imaging. Inverse Problems , Volume 32, Number 10. 2016.Special issue on sparsity regularization in inverse problems. pdf Likun Hou, Hao Gao, Xiaoqun Zhang. A two-stage low rank approach for calibrationless dynamic parallel magnetic resonance image reconstruction. Journal of Scientific Computing , December 2016, Volume 69, Issue 3, pp 1014–1032 pdf Sarah Hamilton, Juan Manuel Reyes, Samuli Siltanen, Xiaoqun Zhang.A Hybrid Segmentation and D-bar Method for Electrical Impedance Tomography, SIAM Journal on Imaging Science, 9(2), 770–793. (24 pages),2016, arxiv pdf Jiulong Liu, Xiaoqun Zhang, Bin Dong, Zuowei Shen, and Lixu Gu. A wavelet frame method with shape prior for ultrasound video segmentation, SIAM Journal on Imaging Science, 9(2), 495–519. (25 pages). pdf (This article is spotlighted by SIAM in "SIAM Nuggets" , and was also reported in various websites: SIAM.NEWS; Science_News ; ScienceDaily; Scifeeds; Science_Codex ; EurekAlert; MedImaging ; Hitechdays ; TechXplore ; Technobahn ; Pubniche ; Healthmanagement.org ; Healthcarebusiness; Myinforms ; OOYUZ ; Wrightwood ) Likun Hou, Xiaoqun Zhang. Pansharpening image fusion using cross-channel sparsity prior - a framelet based approach, Journal of Mathematical Imaging and Vision, D55(1), 36-49, May 2016 DOI:10.1007/s10851-015-0612-x pdf Kun Hu, Yijue Wang, Kewei Chen, Likun Hou, Xiaoqun Zhang, Multi-scale features extraction from baseline structure MRI for MCI patients classification and AD early diagnosis, Neurocomputing, Volume 175, Part A, 29 January 2016, Pages 132-145. pdf Jiulong Liu, Xue Zhang, Xiaoqun Zhang, Hongkai Zhao, Yu Gao, David Thomase, Daniel A Lowe, and Hao Gao. 5D respiratory motion model based image reconstruction algorithm for 4D cone-beam computed tomography. Inverse Problems, Volume 31, Number 11 pdf(Insight paper) Liu, J and Ding, H and Molloi, S and Zhang, X and Gao, H. Nonlocal Total Variation Based Spectral CT Image Reconstruction. Medical Physics, 42, 3570-3570 (2015) pdf [Conference proceeding] Liu, J and Gao, Y and Thomas, D and Zhang, X and Zhao, H and Low, D and Gao, H. Simultaneous Reference-Image and Deformation-Field Reconstruction for 4DCBCT with Periodic and Non-Periodic Breathing Based On 5D Respiratory Motion Model. Medical Physics, 42, 3731-3731 (2015) pdf [Conference proceeding] Siwei Yu, Jianwei Ma, Xiaoqun Zhang, and Mauricio Sacchi. Interpolation and Denoising of High-Dimensional Seismic Data by Learning Tight Frame. Geophysics, vol. 80, No. 5 (Sep-Oct 2015), V119-V132.pdf Jia Li, Zuowei Shen, Rujie Yin and Xiaoqun Zhang. A reweighted L2 method for image restoration with Poisson and mixed Poisson-Gaussian noise. Inverse Problems and Imaging, vol. 9, no. 3, 2015 pdf Jingwei Liang, Xiaoqun Zhang. Retinex by Higher order Total variation L1 decomposition. Journal of Mathematical Imaging and Vision, Volume 52, Issue 3 (2015), Page 345-355. pdf Matlab Code matlabcode Qiaoqiao Ding, Yunlong Zan, Qiu Huang, Xiaoqun Zhang. Dynamic SPECT reconstruction from few projections: a sparsity enforced matrix factorization approach. Inverse problems, vol 31, No. 2, 025004, 2015 pdf (Insight paper ) Xue Zhang, Weifeng Zhou, Xiaoqun Zhang, Hao Gao. Forward-backward splitting method for quantitative photoacoustic tomography. Inverse Problems, Vol 30, Number 12, 125012,2014 pdf Jingwei Liang and Jianwei Ma and Xiaoqun Zhang. Seismic Data Restoration via Data-driven Tight Frame. Geophysics , VOL. 79, NO. 3 (MAY-JUNE 2014); P.V65-V74, 2014 pdf Huibin Chang, Xiaoqun Zhang, Xue-Cheng Tai,Danping Yang. Domain decomposition methods for nonlocal total variation image restoration. , Journal of Scientific Computing , 60 (1), 79-100, 2014pdf Cheng Tai, Xiaoqun Zhang, Zuowei Shen. Wavelet frame based Multi-phase image segmentation. SIAM J. Imaging Sci., 6(4), 2521-2546. (26 pages), 2013 pdf Jingwei Liang, Jia Li, Zuowei Shen and Xiaoqun Zhang. Wavelet Frame Based Color Image Demosaicing. Inverse problems and Imaging, vol. 7, no. 3; August 2013 pdf Xiaoqun Zhang, Yujie Lu, Tony Chan. A Novel Sparsity Reconstruction Method from Poisson Data for 3D Bioluminescence Tomography. Journal of Scientific Computing, Volume 50, Issue 3, pp 519-535, March 2012 pdf Xiaoqun Zhang, Martin Burger, Xavier Bresson and Stanley Osher. Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction. SIAM J. Imaging Sci. Volume 3, Issue 3, pp. 253-276 (2010) pdf Matlab Code matlabcode Xiaoqun Zhang, Tony F. Chan. Wavelet Inpainting by Nonlocal Total Variation. Inverse Problems and Imaging, Volume 4, Number 1, February 2010 issue, Page 191-210 , pdf Matlab Code matlabcode Yifei Lou, Xiaoqun Zhang,Stanley Osher and Andrea Bertozzi. Image Recovery via Nonlocal Operators. Journal of Scientific Computing, Volume 42, Issue 2 (2010), Page 185-197 pdf Matlab Code matlabcode Yujie Lu, Xiaoqun Zhang, Ali Douraghy, David Stout, Jie Tian, Tony F. Chan, and Arion F. Chatziioannou. Source Reconstruction for Spectrally-resolved Bioluminescence Tomography with Sparse A priori Information. Optics Express, Vol. 17, Issue 10, pp. 8062-8080, May. 11, 2009 pdf Xiao-Qun Zhang, Jacques Froment. Constrained Total Variation Minimization and Application in Computerized Tomography. Proc. EMMCVPR 2005, Energy Minimization Methods in Computer Vision and Pattern Recognition, Lecture Notes in Computer Science, Volume 3757, 2005. pp. 456-472. pdf [Conference proceeding] Xiao-Qun Zhang, Jacques Froment. Total Variation Based Fourier Reconstruction and Regularization for Computerized tomography. IEEE 2005 Nuclear Science Symposium Conference Record Volume 4, pp. 2332 - 2336. pdf [Conference proceeding] Optimization Ren Liu, Fengmiao Bian, Xiaoqun Zhang. Binary Quantized Network Training With Sharpness-aware Minimization. Journal of Scientific Computing. Volume 94, Article number: 16. 2023 Ya-Nan Zhu, Xiaoqun Zhang. A Stochastic Variance Reduced Primal Dual Fixed Point Method for Linearly Constrained Separable Optimization. SIAM J. Imag. Sci. Vol. 14, Iss. 3. 2021 Fengmiao Bian, Xiaoqun Zhang. A Three-Operator Splitting Algorithm for Nonconvex Sparsity Regularization. SIAM Journal on Scientific Computing. 43:4, A2809-A2839. 2021 Fengmiao Bian, Jingwei Liang, Xiaoqun Zhang. A Stochastic Alternating Direction Method of Multipliers for Non-smooth and Non-convex Optimization. Inverse Problems, Volume 37, Issue 7, id.075009, 51 pp. A2839. 2021 Fengmiao Bian, Xiaoqun Zhang. A parameterized Douglas-Rachaford splitting algorithm for nonconvex optimization. Applied Mathematics and Computation. Volume 410, 1 126425 A2839. December 2021 Ya-Nan Zhu, Xiaoqun Zhang. (2021). Two Modified Schemes for the Primal Dual Fixed Point Method. CSIAM Transactions on Applied Mathematics. 2 (1).108-130. doi:10.4208/csiam-am.2020-0042. Ya-Nan Zhu, Xiaoqun Zhang. Stochastic primal dual fixed point method for composite optimization. Journal of Scientific computing, 84, Article number:16,2020 Xue Zhang, Xiaoqun Zhang, A New Proximal Iterative Hard Thresholding Method with Extrapolation for ℓ0 Minimization Journal of Scientific Computing, 79(2), 809-826, 2019 Tom Goldstein, Xiaoqun Zhang. Operator Splitting Methods in Compressive Sensing and Sparse Approximation. Chapter from book "Splitting Methods in Communication, Imaging, Science and Engineering", Springer(pp.301-343),Splitting Methods in Communication, Imaging, Science, and Engineering Editors: Roland Glowinski, Stanley Osher, and Wotao Yin. Springer, 2016 pdf Peijun Chen, Jianguo Huang, Xiaoqun Zhang. A primal-dual fixed point algorithm for multi-block convex minimization. Journal of Computational Mathematics, No. 6, 34 (2016). pdf Chenglong Bao, Bin Dong, Likun Hou, Zuowei Shen, Xiaoqun Zhang, Xue Zhang. Image restoration by minimizing zero norm of wavelet frame coefficients. Inverse problems, Volume 32, Number 11, September, 2016 pdf Peijun Chen, Jianguo Huang, Xiaoqun Zhang. A primal-dual fixed-point algorithm for minimization of the sum of three convex separable functions, Fixed Point Theory and Applications 2016, 2016:54 doi:10.1186/s13663-016-0543-2, pdf Michael Moeller, Xiaoqun Zhang, Fast Sparse Reconstruction: Greedy Inverse Scale Space Flows. Mathematics of Computation, 85 (2016), 179-208. pdf Xue Zhang, Xiaoqun Zhang, A note on the complexity of proximal iterative hard thresholding algorithm. Journal of the Operations Research Society of China. December 2015, Volume 3, Issue 4, pp 459-473, 2015. pdf Peijun Chen, Jianguo Huang and Xiaoqun Zhang. A Primal-Dual Fixed Point Algorithm for Convex Separable Minimization with Applications to Image Restoration. Inverse problems, 29 (2), 2013 pdf Xiaoqun Zhang, Martin Burger, Stanely Osher. A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration. Journal of Scientific Computing, Volume 46, Number 1, 20-46, 2011 pdf 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 pdf

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