Homepage of Xiaobo Qu (English, 中文)

  

 
Xiaobo Qu
Ph.D., Professor
Advisors of Ph.D. Students / Postdoc Fellows
 
Director of Computational Sensing Group
Vice Director of Department of Electronic Science
School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University.
 
Email: quxiaobo <at> xmu.edu.cn
Email (Assistant): csrc_assistant <at> xmu.edu.cn
Tel: (+86) 15396288685
Mailing address: P.O.Box 979, Xiamen University, Xiamen, China.
Postal code: 361005
 
Office: Room 343, Physics and Mechanical & Electrical Engineering Building, Haiyun Campus, Xiamen University.


Biosketch

Education

Research interests

Publications

Talks

Awards

Research experiences

Teaching experiences

Professional experiences

Students
Biosketch

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.

The journals published by Dr.Qu as the first or corresponding author including IEEE Trans. Medical Imaging/IEEE Trans. Signal Processing/IEEE Trans. BioMedical Engineering/IEEE Trans. Neural Networks and Learning Systems/Medical Image Analysis/Angewandte Chemie International Edition, etc. He is the Associate Editor of IEEE Trans. Computational Imaging, Senior Editor of BMC Medical Imaging and was on the editorial board of Quantitative Imaging in Medicine and Surgery. He was awarded the E. K. Zavoisky Stipend (2014/2016/2018/2020) 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), He Yici Chair Professor Award (2018) at Xiamen University, Excellent Young Scientists Fund in National Natural Science Foundation of China (2021), respectively.

His research interests include magnetic resonance imaging and spectroscopy, signal and image representations, computational imaging, machine learning and artificial intelligence.

Citations at [ISI Web of Sicence], [Scopus], [Google Scholar],[ORCID]
Research Field
d Computational magnetic resonance imaging and spectroscopy
Research Interests
d Computational imaging d Magnetic resonance imaging and spectroscopy
d Signal and image processing d Applications of MRI in medicine
d Wavelet and Fourier analysis d Applications of NMR in biochemistry
d Machine learning and neural networks d High-performance computing
Education
d

Ph.D (Sept. 2008-Dec. 2011)
Department of Communication Engineering, Xiamen University, China.
Advisor: Prof. Zhong Chen
d

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
d M.S. Candidate (Sept. 2006-Sept. 2008) 
Department of Communication Engineering, Xiamen University, China.
Advisor: Prof. Jingwen Yan
d B.S. (Sept. 2002-June 2006) 
Department of Communication Engineering, Xiamen University, China.
Research Experiences

National Natural Science Foundation of China (No. 62122064) (01/2022-12/2024)
Excellent Young Scientists Fund
Principal Investigator

National Natural Science Foundation of China (No. 61971361) (01/2020-12/2023)
Principal Investigator

National Natural Science Foundation of China (No. 61571380) (01/2016-12/2019)
Principal Investigator

National Natural Science Foundation of China (No. 61811530021) (01/2018-12/2020)
International cooperation exchange project: NSFC-STINT
Principal Investigator

National Natural Science Foundation of China (No. 61201045) (01/2013-12/2015)
Principal Investigator

National Key R&D Program of China (No. 2017YFC0108703) (06/2017-12/2020)
Principal Investigator

Natural Science Foundation of Fujian Province of China (No. 2018J06018) (04/2018-03/2021)
Distinguished Young Scholar Award
Principal Investigator

Natural Science Foundation of Fujian Province of China (No. 2015J01346) (04/2015-03/2018)
Principal Investigator
Fundamental Research Funds for the Central Universities (No. 20720180056), President Fund of Xiamen University (01/2018-12/2020)
Principal Investigator
Fundamental Research Funds for the Central Universities (No. 20720150109), President Fund of Xiamen University (01/2015-12/2017)
Principal Investigator
Fundamental Research Funds for the Central Universities (No. 2013SH002), Shanhai Fund of Xiamen University (01/2013-12/2015)
Principal Investigator

National Natural Science Foundation of China (No. 61302174) (08/2013-12/2016)
Co-Principal Investigator (PI: Prof. Di Guo)
Teaching Experiences

Circuit Aalysis (B.S. Course)
Basic Experiments In Electronic Information (B.S. Course)
Modern Signal Processing (M.S. /Ph.D. Course)
Professional Experiences
Membership:
  IEEE Signal Processing Society, IEEE Engineering in Medicine and Biology Society, International Society for Magnetic Resonance in Medicine.
d

Editorship:
  03/2018, Associate Editor, IEEE Transactions on Computational Imaging
04/2015, Senior Editor, BMC Medical Imaging (SCI, IF 1.66)
12/2020, Editorial Board, Magnetic Resonance Letters
12/2017, Youth Editors, Journal of spectroscopy.(Core journal)
05/2014-12/2020, Editorial Board, Quantitative Imaging in Medicine and Surgery. (SCI)
d

Service in academic conferences:
 

06/2017, EMBC'17, Session Chair, “MRI Image Reconstruction” and “Ignite Session F-03”, The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  06/2017, ISICDM' 2017,Publication Chair, 2017 International Symposium on Image Computing and Digital Medicine
  02/2014, ICIMCS 2014 ,Technical Program Committee, Special Session chair on "Sparse Representation in Image and Signal Processing"
  01/2013, ICIAE2013, Technical Program Committee
 

10/2012, Secretary, 4th Cross-Strait Magnetic Resonance Symposium, Xiamen, China, October 20-24, 2012
  10/2012, Secretary, 17th National Magnetic Resonance Spectroscopy Conference in China, Xiamen, China, October 23-26, 2012
Awards
08/2021, Excellent Young Scientists Fund of National Natural Science Foundation of China
12/2021, Fujian Province High-level Talents (Class B)
01/2019, Xiamen University Nanqiang Outstanding Talents (Class B)
04/2018, Distinguished Young Scholar Award, Natural Science Foundation of Fujian Province of China
04/2018, He Yici Chair Professor Award, Xiamen University
04/2015, China Construction Bank Faculty Research Award, Xiamen University
07/2014, Swedish Wenner-Gren Fellowship
2014/2016/2018/2020, E. K. Zavoisky Stipend, Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM)
11/2013, Second Award of the 8th Teaching Competion for Young Faculties, Xiamen University
   
2021, Advisor of  International Chinese Magnetic Resonance Association Young Researcher Award (Xinlin Zhang)
2021, Advisor of The 21st National Annual Conference of Spectroscopy, First Prize of Excellent Poster Award (Yihui Huang)
2021, Advisor of The 16th Graduate Electronic Contest National Final Business Plan, National First Prize (Haoming Fang)
2018, Advisor of Outstanding Master's Thesis Award of Chinese Institute of Electronics (Jiaxi Ying)
2017/2018, Advisor of Excellent Master Thesis in Fujian Province (Yunsong Liu, Zhifang Zhan, Jiaxi Ying)
08/2015, Advisor of 4 Student Travel Stipend Winners at ISMAR
   
2011/2012, Educational Stipend,Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM)
10/2009-10/2011, Fellowship of Postgraduates' Oversea Study Program for Building High-Level Universities, China Scholarship Council (CSC)
05/2009, First Prize of China Merchants Bank Scholarship Award, Xiamen University
11/2008, IBM Distinguished Student Scholarships, China Scholarship Council
05/2008, Top Ten Students on Academic Research, Xiamen University　
12/2007, Third Prize Award, 4th National Postgraduates Mathematical Contests in Modeling of China　
d 12/2006, Hewlett-Packard Distinguished Chinese Student Scholarship, China Scholarship Council
d 06/2006, Outstanding Graduates Award, Xiamen University
Recent Publications (Asterisk (*) indicates the corresponding author; # denotes the co-first authorship)
(1) Selected publications
d 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, 59(26):10297-10300, 2020.
d 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.
d Xinlin Zhang, Hengfa Lu, Di Guo, Lijun Bao, Feng Huang, Qin Xu, Xiaobo Qu*, A guaranteed convergence analysis for the projected fast iterative soft-thresholding algorithm in parallel MRI, Medical Image Analysis, 69:101987, 2021.
d Xinlin Zhang, Di Guo, Yiman Huang, Ying Chen, Liansheng Wang, Feng Huang, Qin Xu, Xiaobo Qu*, Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI, Medical Image Analysis, 63:101687, 2020.
d 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.
d Yihui Huang#, Jinkui Zhao#, Zi Wang, Di Guo, Xiaobo Qu*, Exponential signal recovery with deep Hankel matrix factorization, IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3134717, 2021
d 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. 
d 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.
d 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.
d 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.
d Tianyu Qiu, Zi Wang, Huiting Liu, Di Guo, Xiaobo Qu*, Review and prospect: NMR spectroscopy denoising & reconstruction with low rank Hankel matrices and tensors,Magnetic Resonance in Chemistry, 59(3): 324-345, 2021. [Invited Review]
d Dicheng Chen#, Zi Wang#, Di Guo, Vladislav Orekhov, Xiaobo Qu*, Review and Prospect: Deep learning in nuclear magnetic resonance spectroscopy, Chemistry - A European Journal, 26(46): 10391-10401, 2020. [Invited Review]
(2) Journal papers
d Zi Wang, Di Guo, Zhangren Tu, Yihui Huang, Yirong Zhou, Jian Wang, Liubin Feng, Donghai Lin, Yongfu You, Tatiana Agback, Vladislav Orekhov, Xiaobo Qu*, A sparse model-inspired deep thresholding network for exponential signal reconstruction—application in fast biological spectroscopy, IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2022.3144580, 2022.
d Tianyu Qiu, Wenjing Liao, Yihui Huang, Jinyu Wu, Di Guo, Dongbao Liu, Xin Wang, Jian-Feng Cai, Bingwen Hu, Xiaobo Qu*, An automatic denoising method for NMR spectroscopy based on low-rank Hankel model, IEEE Transactions on Instrumentation & Measurement, vol. 70, pp. 1-12, 2021.
d Yuhan Hu, Xinlin Zhang, Dicheng Chen, Zhiping Yan, Xiaoyong Shen, Gen Yan, Lin Ouyang, Jianzhong Lin, Jiyang Dong, Xiaobo Qu*, Spatiotemporal flexible sparse reconstruction for rapid dynamic contrast-enhanced MRI, IEEE Transactions on Biomedical Engineering, 69(1): 229-243, 2022.
d Wanqi Hu, Huiting Liu, Dicheng Chen, Tianyu Qiu, Hongwei Sun, Chunyan Xiong, Jianzhong Lin, Di Guo, Hao Chen *, Xiaobo Qu*, Coil combination of multichannel single voxel magnetic resonance spectroscopy with repeatedly sampled in vivo data, Molecules, 26(13):3896, 2021.
d Dongbao Liu#, Yonggui Yang#, Dicheng Chen, Zi Wang, Di Guo, Lijun Bao, Jiyang Dong, Xin Wang, Xiaobo Qu*, Brain metabolic differences between temporal lobe epileptic seizures and organic non-epileptic seizures in postictal phase: A retrospective study with magnetic resonance spectroscopy, Quantitative Imaging in Medicine and Surgery, 11(8): 3781-3791, 2021.
d Tieyuan Lu, Xinlin Zhang, Yihui Huang, Di Guo, Feng Huang, Qin Xu, Yuhan Hu, Lin Ou-Yang, Jianzhong Lin, Zhiping Yan, Xiaobo Qu*, pISTA-SENSE-ResNet for parallel MRI reconstruction, Journal of Magnetic Resonance, 318, article 106790, 2020.
d Yiman Huang, Xinlin Zhang, Hua Guo, Huijun Chen, Di Guo, Feng Huang, Qin Xu, Xiaobo Qu*, Phase-constrained reconstruction of high-resolution multi-shot diffusion weighted magnetic resonance image, Journal of Magnetic Resonance, 312, article 106690, 2020.
d 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.
d 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, 12, Article 777, 2018.
d 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, 6:57856-57867, 2018.
d 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
d 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.
d 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.
d 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.
d 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.
d 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.
d 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.
d 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.
d 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.
d Qiyue Li, Xiaobo Qu*, Yunsong Liu, Di Guo, Zongying Lai, Jing Ye, Zhong Chen, Accelerating patch-based directional wavelets with multicore parallel computing in compressed sensing MRI, Magnetic Resonance Imaging, vol. 33, no. 5, pp. 649-658, 2015.
d Yunsong Liu, Jian-Feng Cai, Zhifang Zhan,Di Guo,Jing Ye,Zhong Chen, Xiaobo Qu*. Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging, PLoS ONE, 10(4): e0119584, 2015.
d

Lei Liu, Jingwen Yan, Xianwei Zheng, Hong Peng, Di Guo, Xiaobo Qu*. Karhunen-Loève transform for compressive sampling hyperspectral images, Optical Engineering, 54(1):014106, 2015.
d Di Guo, Jingwen Yan, Xiaobo Qu*. High quality multi-focus image fusion using self-similarity and depth information, Optics Communications, 338:138-144, 2015.
d Qiyue Li, Xiaobo Qu*, Yunsong Liu, Di Guo, Jing Ye, Zhifang Zhan and Zhong Chen*. Parallel computing of patch-based nonlocal operator and its application in compressed sensing MRI, Computational and Mathematical Methods in Medicine, Volume 2014, Article ID 257435, 2014.
d Bende Ning, Xiaobo Qu*, Di Guo, Changwei Hu, Zhong Chen*. Magnetic resonance image reconstruction using trained geometric directions in 2D redundant wavelets domain and non-convex optimization, Magnetic Resonance Imaging, vol. 31, no. 9, pp. 1611-1622, 2013.
d Xiaobo Qu, Di Guo, Bende Ning, Yingkun Hou, Yulan Lin, Shuhui Cai, Zhong Chen*. Undersampled MRI reconstruction with patch-based directional wavelets, Magnetic Resonance Imaging, vol.30, no.7, pp. 964-977, 2012.
d Xiaobo Qu, Di Guo, Xue Cao, Shuhui Cai and Zhong Chen*. Reconstruction of self-sparse 2D NMR spectra from undersampled data in indirect dimension, Sensors, vol. 11, no. 9, pp. 8888-8909, 2011.
d Xiaobo Qu, Xue Cao, Di Guo, Changwei Hu and Zhong Chen. Combined sparsifying transforms for compressed sensing MRI, Electronics Letters, vol.46, no.2, pp.121-123, 2010.
d Xiaobo Qu, Weiru Zhang, Di Guo, Congbo Cai, Shuhui Cai, Zhong Chen. Iterative thresholding compressed sensing MRI based on contourlet transform, Inverse Problems in Science and Engineering, vol.18, no.6, pp.737-758, 2010.
d

Xiaobo Qu, Jingwen Yan, Guide Yang. Multifocus image fusion method of sharp frequency localized contourlet transform domain based on sum-modified-Laplacian. Optics and Precision Engineering, vol.17,no.5, pp.1203-1212, 2009. (in Chinese)
d Xiaobo Qu, Jingwen Yan, Guofu Xie, et al. A novel image fusion algorithm based on bandelet transform. Chinese Optics Letters, vol.5, no.10, pp.569-572, 2007.
d Jing Li, Congbo Cai*, Lin Chen, Ying Chen, Xiaobo Qu, Shuhui Cai*. Flexible reduced field of view magnetic resonance imaging based on single-shot spatiotemporally encoded technique, Chinese Physics B, 24(10):108703, 2015.
d Guangcao Liu, Xiaobo Qu, Shuhui Cai, Zhiyong Zhang, Zhiwei Chen, Congbo Cai, Zhong Chen*. Fast 3D gradient shimming by only 2×2 pixels in X-Y plane for NMR-solution samples, Journal of Magnetic Resonance, vol. 248, pp. 13-18, 2014.
d Haoli Wang, Jianwu Li*, Xiaobo Qu, Zhengchao Dong. Fast iterative contourlet thresholding for compressed sensing MRI, Electronics Letters,vol. 49, no.19, pp. 1206-1208, 2013.
d Ying Chen, Jing Li, Xiaobo Qu, Lin Chen, Congbo Cai, Shuhui Cai, Jianhui Zhong, Zhong Chen. Partial Fourier transform reconstruction for single-shot MRI with linear frequency-swept excitation, Magnetic Resonance in Medicine, vol. 69, no. 5, pp.1326-1336, 2013.
d Di Guo, Zicheng Liu, Xiaobo Qu, Lianfen Huang, Yan Yao, Ming-Ting Sun. Sparsity-based online missing data recovery using overcomplete dictionary, IEEE Sensors Journal, vol.12, no.7,pp. 2485-2495, 2012.
d Di Guo, Xiaobo Qu, Lianfen Huang, Yan Yao. Optimized local superposition in wireless sensor networks with t-average-mutual-coherence, Progress in Electromagnetics Research, vol. 122, pp. 389-411, 2012.
d Changwei Hu, Xiaobo Qu, Di Guo, Lijun Bao, Zhong Chen. Wavelet-based edge correlation incorporated iterative reconstruction for undersampled MRI, Magnetic Resonance Imaging, vol.29, no.7, pp. 907-915, 2011.
d Hongzhi Xiao, Jingwen Yan, Xiaobo Qu. A novel video denoising method with 3D context model based on surfacelet transform. Acta Electronica Sinica, Vol . 36, No. 7, pp.1460-1464, 2008. (in Chinese)
d Jingwen Yan, Xiaobo Qu, Jiazhen Chen, New quasi-lossless compression of partitioned KLT and IWT multispectral images, Acta Optica Sinica, vol.27,no.10, pp:1740-1744, 2007. (In Chinese)
d

Jingwen Yan, Jian Yu, Xiaobo Qu, Xiaoling Zhang. Novel fast motion estimation algorithm based on optimizing predictive motion vector, Optics and Precision Engineering, vol.15, no.10, pp.1622-1627, 2007.(In Chinese)
(3) Conference papers
d

Yirong Zhou, Chen Qian, Yi Guo, Zi Wang, Jian Wang, Biao Qu, Di Guo, Yongfu You, Xiaobo Qu*, XCloud-pFISTA: A medical intelligence cloud for accelerated MRI, The 43th Annual International Conference of the IEEE Engineering in Medicine and Biology Society-EMBC’21, pp. 3289-3292, Oct 31 - Nov 4, 2021, Virtual Conference, 2021. (EI) [Oral presentation]
d Xinlin Zhang, Zi Wang, Xi Peng, Qin Xu, Di Guo, Xiaobo Qu*, Accelerated image reconstruction with separable Hankel regularization in parallel MRI, The 43th Annual International Conference of the IEEE Engineering in Medicine and Biology Society-EMBC’21, pp. 3403-3406, Oct 31 - Nov 4, 2021, Virtual Conference, 2021. (EI) [Oral presentation]
d Xiaobo Qu*, Jiaxi Ying, Jian-Feng Cai, Zhong Chen. Accelerated magnetic resonance spectroscopy with Vandermonde factorization, The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society-EMBC’17, Jeju Island, Korea, July 11-15, pp. 3537-3540, 2017. [Oral presentation]
d

Hengfa Lu, Xinlin Zhang, Tianyu Qiu, Jian Yang, Di Guo, Zhong Chen, Xiaobo Qu*.A low rank Hankel matrix reconstruction method for ultrafast magnetic resonance spectroscopy, The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society-EMBC’17, Jeju Island, Korea, July 11-15, pp. 3269-3272, 2017. [Oral presentation]
d

Xiaobo Qu*, Ying Chen, Xiaoxing Zhuang, Zhiyu Yan, Di Guo, Zhong Chen. Spread spectrum compressed sensing MRI using chirp radio frequency pulses,The 41st IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP’16, Shanghai, China, 20th -25th, March, pp.689-693, 2016. (Oral presentation)

d Xiaobo Qu, Yingkun Hou, Fan Lam, Di Guo, Zhong Chen. Magnetic resonance image reconstruction using similarities learnt from multi-modal images, 2013 IEEE China Summit and International Conference on Signal and Information Processing-ChinaSIP'13, 6th – 10th , July, 2013, pp.264-268. (Oral presentation)
d Di Guo, Xiaobo Qu, Lianfen Huang, Yan Yao, Zicheng Liu, Ming-Ting Sun.Sparsity‐based Online Missing Sensor Data Recovery, 2012 IEEE Int. Symp. Circuits and Systems-ISCAS'12, Seoul, Korea, May 20-23, 2012, pp.918‐921. (Oral presentation)
d Xiaobo Qu, Xue Cao, Di Guo, Changwei Hu, Zhong Chen. Compressed Sensing MRI with Combined Sparsifying Transforms and Smoothed L0 Norm Minimization. The 35th International Conference on Acoustics, Speech, and Signal Processing-ICASSP'10, Dallas,Texas, U.S.A, March 14 – 19, 2010,pp.626-629.
d Xiaobo Qu, Xue Cao, Di Guo, Zhong Chen. Compressed Sensing for Sparse Magnetic Resonance Spectroscopy, International Society for Magnetic Resonance in Medicine 18th Scientific Meeting. Stockholm, Sweden, 2010, p 3371.
d Di Guo, Xiaobo Qu, Mingbo Xiao, Yan Yao. Comparative Analysis on Transform and Reconstruction of Compressed Sensing in Sensor Networks, 2009 Int. Conf. Commun. and Mobile Computing-CMC'09, Jan. 6-8 2009, Kunming, China, pp.441-445.
d Xiaobo Qu, Di Guo, Zhong Chen, Congbo Cai. Compressed sensing MRI based on nonsubsampled contourlet transform. 2008 IEEE International Symposium on IT in Medicine & Education-ITME'08, 12 -14 Dec., 2008, Xiamen, China, pp.693-696.
d Xiaobo Qu, Changwei Hu, Jingwen Yan, Image Fusion Algorithm Based On Orientation Information Motivated Pulse Coupled Neural Networks, The seventh World Congress on Intelligent Control and Automation-WCICA'08，Chongqing, China,25-27 June 2008, pp.2437-2441.
d Xiao-Bo Qu,Jingwen Yan.Image Fusion Algorithm Based on Features Motivated Multi-channel Pulse Coupled Neural Networks, The 2nd International Conference on Bioinformatics and Biomedical Engineering-iCBBE'08，Shanghai, China, 16-18 May 2008, pp. 2103-2106.
d Jingwen Yan, Hongzhi Xiao, Xiaobo Qu, A Novel Video Denoising Method Based on Surfacelet Transform, 2008 Congress on Image and Signal Processing-CISP'08, Vol. 3,pp. 245-249, 2008.
d QU Xiaobo, Yan jingwen. The Sharp Frequency Localized Contourlet Transform for image denoising using cycle spinning, Proc.of the 3th International Conference on Intelligent System & Knowledge Engineering-ISKE'08,Xiamen,China,Nov. 17-18, 2008,pp.1247-1251.
d Xiaobo Qu, Jingwen Yan. Multi-focus image fusion algorithm based on regional firing characteristic of Pulse Coupled Neural Networks, Proceedings of The Second International Conference on Bio-Inspired Computing: Theories and Applications-BIC-TA'07,Zhenzhou, China, 14-17 Sep.2007, pp.62-66.
d Xiaobo Qu, Guofu Xie, Jingwen Yan, et al. Image Fusion Algorithm Based on Neighbors and cousins information in Nonsubsampled Contourlet Transform Domain, Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition-ICWAPR'07, Beijing, China, 2-4 Nov. 2007,pp.1797-1802.
Patents and Registered Softwares
d Xiaobo Qu.A high-resolution diffusion-weighted image reconstruction method, Chinese invention patent, application date: September 29, 2019, patent number: ZL201910934039.3, authorization date: July 23, 2021.
d Xiaobo Qu.A multi-channel magnetic resonance image reconstruction method based on deep learning, Chinese invention patent, application date: July 16, 2019, patent number: ZL201910641089.2, authorization date: June 2, 2020.
d Xiaobo Qu.A magnetic resonance spectrum reconstruction method based on deep learning, Chinese invention patent, patent number: ZL201910075573.3, application date: January 25, 2019, authorization date: April 20, 2020.
d Xiaobo Qu.A multi-contrast magnetic resonance image reconstruction method based on convolutional neural network, Chinese invention patent, patent number: ZL201711354454.9, application date: December 15, 2017, authorization date: April 2, 2020.
d Xiaobo Qu.A fast reconstruction method of super-complex magnetic resonance spectrum, Chinese invention patent, application date: April 14, 2017, application number: ZL201710245787.1, authorization date: March 3, 2020.
d Xiaobo Qu.A spectrum recovery method based on low-rank time domain signals, April 2016, Chinese invention patent, patent number: 201610267934.0, application date: April 27, 2016, authorization date: August 7, 2018.
d Xiaobo Qu, Jiaxi Ying, Di Guo, Zhong Chen. A high-dimensional index signal data completion method, Chinese invention patent, patent number: ZL201510362290.9, application date: June 26, 2015, application number: 201510362290.9, authorization date: February 16, 2018.
d Xiaobo Qu, Jing Ye, Di Guo, Zhong Chen. A denoising method for exponential signals, Chinese Invention Patent, Patent No.: ZL201510438400.5, Application Date: July 23, 2015, authorization date: December 08, 2017.
d Xiaobo Qu, Jiaxi Ying, Di Guo, Zhong Chen. A high-dimensional nuclear magnetic resonance time-domain signal completion method, Chinese invention patent, patent number: ZL201510235929.7, application date: May 11, 2015, authorization date: June 23, 2017
d Xiaobo Qu, Zhifang Zhan, Yunsong Liu, Di Guo, Zhong Chen, An iterative reconstruction method for magnetic resonance imaging, China State Intellectual Property Office, ZL201510181018.0, application date: April 16, 2015, authorization date: March 15, 2017.
d Xiaobo Qu, Lei Li, Zongying Lai, Zhong Chen. An image fusion method based on similar blocks, Chinese invention patent, patent number: ZL201310198572.0, application date: May 24, 2013, authorization date: November 11, 2015.
d

Xiaobo Qu, Zhiyu Yan, Ying Chen, Xiaoxing Zhuang, Di Guo, Zhong Chen. A radio frequency-based controllable spatially encoding compressed sensing spread spectrum MRI, China State Intellectual Property Office, ZL201210534894.3, application date: December 12, 2012, authorization date: January 1, 2015.

   
Students
  Current
d Xinlin Zhang (Ph.D. candidate, 202?)
d Tianyu Qiu (Ph.D. candidate, 202?)
d Yihui Huang (Ph.D. candidate, 202?)
d Dicheng Chen (Ph.D. candidate, 202?)
d Zi Wang (Ph.D. candidate, 202?;)
d Jian Cao (Ph.D. candidate, 202?;)
d Kunyuan Guo (Ph.D. candidate, 202?)
d Zhangren Tu (Ph.D. candidate, 202?)
d Wei Yuan (Ph.D. candidate, 202?)
d Wenke Song (M.S., 202?;)
d Haoming Fang (M.S., 202?;)
d Jinyu Wu (M.S., 202?;)
d Chen Qian (M.S., 202?;)
d Yirong Zhou (M.S., 202?;)
d Jianpeng Cao (M.S., 202?)
d Jian Wang (M.S., 202?;)
d Xiaodie Chen (M.S., 202?)
d Jiayu Li (M.S., 202?)
d Boxuan Shi (M.S., 202?)
d Bangjun Chen(M.S., 202?)
d Chensong Zeng (M.S., 202?)
d Chunyan Xiong (Ph.D. candidate, 202?，co-supervised with Associate Prof. Chen Zhong)
d Mengli Lu (M.S., 202?，co-supervised with Associate Prof. Jiyang Dong)
d Wangfeng He(M.S., 202?，co-supervised with Associate Prof. Duanjun Cai)
  Graduated
d Hong Zheng (Ph.D., 2018; co-supervised with Prof. Zhong Chen; Assistant Professor at Guilin University of Electronic Technology), Thesis title: Research on Super-Resolution Algorithm of Multi-Contrast MRI Brain Image
d Zongying Lai (Ph.D., 2017; co-supervised with Prof. Zhong Chen; Assistant Professor at Jimei University), Thesis title: Sparse MRI Image Reconstruction with Graph Wavelet Transform
d Qiyue Li (Ph.D., 2014, co-supervised with Prof. Zhong Chen; Engineer at Xiamen University), Thesis title: Development of Mobile NMR Data Processing Application and Parallel Computing on MRI Reconstruction
d Lei Liu (Ph.D., 2014, co-supervised with Prof. Jingwen Yan; Associate Professor at Shantou University), Thesis title: Frame and Its Applications in Image Processing
d Yuhan Hu (M.S., 2021; Shell Search Technology Co., Ltd., Java Development Engineer)，Thesis title：Tight Frame based Weighted Sparse Reconstruction for Magnetic Resonance Image
d Jinkui Zhao (M.S., 2021; Voice network agora company, video algorithm-deep learning engineer)，Thesis title：Complex Exponential Signal Reconstruction with Deep Matrix Factorization
d Wanqi Hu (M.S., 2021; TP-LINK Corporation, intellectual property)，Thesis title：Denoising Repeatedly Sampled In Vivo Magnetic Resonance Spectroscopy with Deep Learning
d Yiman Huang (M.S., 2020;TP-LINK Corporation)Thesis title: Smooth Phase Constrained Low-Rank Reconstruction of High-resolution Magnetic Resonance Diffusion-Weighted Image
d Tieyuan Lu (M.S., 2020;China Mobile(Shang Hai))Thesis title: Deep Learning Image Reconstruction for Parallel Magnetic Resonance Imaging
d Hengfa Lu (M.S., 2018; PhD student, Department of Biomedical Engineering, University of Texas at Austin), Thesis title: Magnetic Resonance Spectra Reconstruction Based on Low-Rank Block Hankel Matrix
d Zhifang Zhan (M.S., 2017; Engineer at Huawei Technologies Corporation), Thesis title: Fast Multiclass Dictionaries Learning with Geometrical Directions in Sparse Image Reconstruction
d Yunsong Liu (M.S., 2016; PhD student in Department of Electronic Engineering at University of Southern California), Thesis title: Sparse Image Reconstruction with Directional Wavelet in Redundant Wavelet Domain
d Dongbao Liu (M.S., 2021;co-supervised with Senior Engineer Xin Wang，Head Office of Agricultural Bank of China (Shanghai)，Thesis title：Research on Brain Metabolites of Epileptic Seizures Based on Magnetic Resonance Spectroscopy
d Jiaxi Ying (M.S., 2017; co-supervised with Prof. Zhong Chen; PhD student, Department of Electronic & Computer Engineering, Hong Kong University of Science and Technology), Thesis title: Complex Exponential Signal Recovery and Its Application in Magnetic Resonance Spectroscopy
d Zifei Zhang (M.S., 2019; co-supervised with Prof. Zhong Chen; Engineer at CMB Network Technology), Thesis title: Joint Sparsity and Low Rankness-based Spectroscopy Reconstruction for Magnetic Resonance Diffusion-Ordered NMR
d Jing Ye (M.S., 2016, co-supervised with Prof. Zhong Chen; Office Clerk at Xiamen University), Thesis title: Models and Algorithms of Compressed Sensing Magnetic Resonance Imaging under Tight-Frame Image Representation
d Bende Ning (M.S., 2013, co-supervised with Prof. Zhong Chen; Shanghai infront Microelectronics Corporation, Image processing algorithm engineer), Thesis title: Sparse Image Reconstruction with Directional Wavelet in Redundant Wavelet Domain
d Changwei Hu (M.S., 2012, co-supervised with Prof. Zhong Chen; Ph.D., Duke University, USA), Thesis title: Edge-weighted L1 norm minimization in undersampled MRI reconstruction