个人简历

Xiaobo Qu is a professor of Department of Electronic Science in School of Electronic Science and Engineering (National Model Microelectronics College) at Xiamen University in China. He received received the B.S. and Ph.D. degrees in communication engineering from Xiamen University, Xiamen, China, in 2006 and 2011, respectively. From 2009 to 2011, he was a Visiting Scholar with the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign. From July 2014 to September 2014, he was the Visiting Scientist with Swedish NMR Centre, University of Gothenburg, Sweden. From February 2012 to July 2018, he was the Assistant Professor and then Associate Professor with Xiamen University, where he is currently a Full Professor at the Department of Electronic Science.\r
Dr. Qu has published 60+ peer reviewed papers on conferences and journals including IEEE Trans. Medical Imaging/IEEE Trans. Signal Processing/IEEE Trans. BioMedical Engineering/Medical Image Analysis/Angewandte Chemie International Edition, etc. He is the Associate Editor of IEEE Trans. Computational Imaging, Section Editor of BMC Medical Imaging and on the editorial board of Quantitative Imaging in Medicine and Surgery. He was awarded the E. K. Zavoisky Stipend (2014, 2016, 2018) of ISMRM Scientific Meeting, Swedish Wenner-Gren Fellowship (2014), Distinguished Young Scholar Award in Natural Science Foundation of Fujian Province of China (2018), Faculty Research Award (2014) and He Yici Chair Professor Award (2018) at Xiamen University, respectively.\r
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Education\r
Ph.D (Sept. 2008-Dec. 2011)Department of Communication Engineering, Xiamen University, China. Advisor: Prof. Zhong Chen\r
Visiting Scholar, Joint China&USA Ph.D Training (Oct. 2009-Oct. 2011), Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Illinois, USA. Advisor: Prof. Zhi-Pei Liang\r
M.S. Candidate (Sept. 2006-Sept. 2008) Department of Communication Engineering, Xiamen University, China. Advisor: Prof. Jingwen Yan\r
B.S. (Sept. 2002-June 2006)Department of Communication Engineering, Xiamen University, China.\r
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Awards\r
2014/2016/2018, E. K. Zavoisky Stipend, Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM)\r
04/2018, Distinguished Young Scholar Award, Natural Science Foundation of Fujian Province of China\r
04/2018, He Yici Chair Professor Award, Xiamen University\r
2017/2018, Advisor of Excellent Master Thesis in Fujian Province (Yunsong Liu, Zhifang Zhan, Jiaxi Ying)\r
08/2015, Advisor of 4 Student Travel Stipend Winners at ISMAR\r
04/2015, China Construction Bank Faculty Research Award, Xiamen University\r
07/2014, Swedish Wenner-Gren Fellowship\r
11/2013, Second award of the 8th teaching competion for young faculties, Xiamen University\r
2010/2011, Educational Stipend,Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM)\r
10/2009-10/2011, Fellowship of Postgraduates' Oversea Study Program for Building High-Level Universities, China Scholarship Council (CSC)\r
05/2009, First Prize of China Merchants Bank Scholarship Award, Xiamen University\r
11/2008, IBM Distinguished Student Scholarships, China Scholarship Council\r
05/2008, Top Ten Students on Academic Research, Xiamen University　\r
12/2007, Third Prize Award, 4th National Postgraduates Mathematical Contests in Modeling of China　\r
10/2006, Hewlett-Packard Distinguished Chinese Student Scholarship, China Scholarship Council\r
07/2006, Outstanding Graduates Award, Xiamen University\r
10/2005, Huaying Outstanding Scholarship Award, Xiamen University\r
02/2004, National Scholarships, Ministry of Education, China\r
10/2002, National Scholarships, Ministry of Education, China\r
Excellent student in the academic years of 2002-2003,2003-2004 and 2005-2006, Xiamen University

研究领域

"""""Research Interests\r
Computational imaging\r
Signal and image processing\r
Wavelet and Fourier analysis\r
Machine learning and neural networks\r
Magnetic resonance imaging and spectroscopy\r
Applications of MRI in medicine\r
Applications of NMR in biochemistry\r
High-performance computing"

近期论文

Xiaobo Qu*, Yihui Huang, Hengfa Lu, Tianyu Qiu, Di Guo, Tatiana Agback, Vladislav Orekhov, Zhong Chen*, Accelerated nuclear magnetic resonance spectroscopy with deep learning, Angewandte Chemie International Edition, DOI:10.1002/anie.201908162, 2019. (SCI, JCR 1, TOP, IF 12.26)\r
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Xiaobo Qu*, Maxim Mayzel, Jian-Feng Cai, Zhong Chen, Vladislav Orekhov*. Accelerated NMR spectroscopy with low-rank reconstruction, Angewandte Chemie International Edition, 54(3): 852-854, 2015. (SCI, JCR 1, 3-Year IF 12.84)\r
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Xiaobo Qu*, Yingkun Hou, Fan Lam, Di Guo, Jianhui Zhong, Zhong Chen*. Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator, Medical Image Analysis, 18(6): 843-856, 2014 (SCI, JCR 1, 3-Year IF 4.09)\r
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Yunsong Liu, Zhifang Zhan, Jian-Feng Cai, Di Guo, Zhong Chen, Xiaobo Qu*.Projected iterative soft-thresholding algorithm for tight frames in compressed sensing magnetic resonance imaging, IEEE Transactions on Medical Imaging, 35(9): 2130-2140, 2016.(SCI, JCR 2, IF 3.85)\r
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Jiaxi Ying, Jian-Feng Cai, Di Guo, Gongguo Tang, Zhong Chen, Xiaobo Qu*, Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery—Application in Fast NMR Spectroscopy, IEEE Transactions on Signal Processing, 66(21):5520-5533, 2018. (SCI, JCR 2, TOP, IF 4.30)\r
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Hengfa Lu, Xinlin Zhang, Tianyu Qiu, Jian Yang, Jiaxi Ying, Di Guo, Zhong Chen, Xiaobo Qu*, Low rank enhanced matrix recovery of hybrid time and frequency data in fast magnetic resonance spectroscopy, IEEE Transactions on Biomedical Engineering, 65(4):809-820, 2018. (SCI, JCR 2, IF 3.58)\r
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Jiaxi Ying, Hengfa Lu, Qingtao Wei, Jian-Feng Cai, Di Guo, Jihui Wu, Zhong Chen, Xiaobo Qu*, Hankel matrix nuclear norm regularized tensor completion for N-dimensional exponential signals, IEEE Transactions on Signal Processing, 65(14): 3702-3717, 2017. (SCI, JCR 2, TOP, IF 4.30)\r
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Xiaobo Qu, Jingwen Yan, Hongzhi Xiao, Ziqian Zhu. Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain. Acta Automatica Sinica, 34(12): 1508-1514, 2008. (EI)\r
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Xiaobo Qu*, Tianyu Qiu, Di Guo, Hengfa Lu, Jiaxi Ying, Ming Shen, Bingwen Hu, Vladislav Orekhov, Zhong Chen, High-fidelity spectroscopy reconstruction in accelerated NMR, Chemical Communications, 54(78): 10958-10961, 2018. (SCI, JCR 1, IF 6.29)\r
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Weiming Lin, Tong Tong, Qinquan Gao, Di Guo, Xiaofeng Du, Yonggui Yang, Gang Guo, Min Xiao, Min Du*, Xiaobo Qu*, and the Alzheimer’s Disease Neuroimaging Initiative, Convolutional neural networks-based MRI image analysis for the Alzheimer’s disease prediction from Mild cognitive impairment, Frontiers in Neuroscience, DOI: 10.3389/fnins.2018.00777, 2018. (SCI, JCR 2, IF 3.88)\r
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Hong Zheng, Kun Zeng, Di Guo, Jiaxi Ying, Yu Yang, Xi Peng, Feng Huang, Zhong Chen, Xiaobo Qu*, Multi-contrast brain MRI image super-resolution with gradient-guided edge enhancement, IEEE Access, DOI: 10.1109/ACCESS.2018.2873484, 2018. (SCI, JCR 3, IF 3.24)\r
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Zongying Lai#, Xiaobo Qu#*, Yunsong Liu, Di Guo, Jing Ye, Zhifang Zhan, Zhong Chen*. Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform, Medical Image Analysis, 27: 93-104, 2016 (# denotes co-first authorship) (SCI, JCR 1, 3-Year IF 4.09)\r
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Zhifang Zhan, Jian-Feng Cai, Di Guo, Yunsong Liu, Zhong Chen, Xiaobo Qu*. Fast multiclass dictionaries learning with geometrical directions in MRI reconstruction,IEEE Transactions on Biomedical Engineering, 63(9): 1850-1861, 2016. (SCI, JCR 2, IF 2.35)\r
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Zongying Lai, Xinlin Zhang, Di Guo, Xiaofeng Du, Yonggui Yang, Gang Guo, Zhong Chen, Xiaobo Qu*, Joint sparse reconstruction of multi-contrast MRI images with graph based redundant wavelet transform, BMC Medical Imaging, 18(1):7, 2018. (SCI, JCR 4, IF 1.66)\r
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Di Guo, Xiaobo Qu*, Improved reconstruction of low intensity magnetic resonance spectroscopy with weighted low rank Hankel matrix completion, IEEE Access, 6: 4933-4940, 2018. (SCI, JCR 3, IF 3.24)\r
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Zongying Lai, Xiaobo Qu*, Hengfa Lu, Xi Peng, Di Guo, Yu Yang, Gang Guo, Zhong Chen, Sparse MRI reconstruction using multi-contrast image guided graph representation, Magnetic Resonance Imaging, 43:95-104, 2017. (SCI, JCR 4, IF 2.23)\r
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Di Guo, Hengfa Lu, Xiaobo Qu*, A fast low rank Hankel matrix factorization reconstruction method for non-uniformly sampled magnetic resonance spectroscopy, IEEE Access, 5: 16033-16039, 2017. (SCI, JCR 3, IF 3.24)\r
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Hong Zheng, Xiaobo Qu*, Zheng-Jian Bai, Yunsong Liu, Di Guo, Jiyang Dong, Xi Peng, Zhong Chen*, Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity, BMC Medical Imaging, 17(1), DOI: 10.1186/s12880-016-0176-2, 2017. (SCI, JCR 4, IF 1.66)\r
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Jian-Feng Cai*, Xiaobo Qu, Weiyu Xu, Gui-Bo Ye, Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction, Applied and Computational Harmonic Analysis, 41(2): 470-490, 2016. (SCI, JCR 1, 3-Year IF 2.51)\r
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Jing Ye, Xiaobo Qu*, Hua Guo, Yunsong Liu, Di Guo, Zhong Chen, Patch-based directional redundant wavelets in compressed sensing parallel MRI with radial sampling trajectory, Journal of Medical Imaging and Health Informatics, 6:387-398, 2016. (SCI, JCR 4, IF 0.64)\r