女，1982.03，博士，预聘教授，硕士生导师。2012年在厦门大学获得通信与信息系统专业博士学位，2009-2011年、2018-2019年获得国家留学基金委资助到美国华盛顿大学电子工程系访学。
长期从事机器学习、人工智能、医学成像、信号与图像处理、无线传感网、生物医学磁共振方向的研究。主持国家自然科学基金面上项目、青年项目各1项，福建省自然科学基金1项，厦门市产学研项目1项，以第一合作人承担国家自然科学基金2项。授权发明专利3项，发表被SCI、EI检索的学术论文有43篇。
Email: guodi AT xmut.edu.cn
　　
　　教育背景：
　　·2018/10- 2019/09， 美国华盛顿大学，电子工程系，访问****
　　·2006/09 - 2012/06，厦门大学，通信与信息系统， 工学博士（提前攻博）
　　·2009/10- 2011/10， 美国华盛顿大学，电子工程系，博士研究生（联合培养）
　　·2006/09 - 2008/07，厦门大学，通信与信息系统， 工学硕士研究生
　　·2001/09 - 2005/07，厦门大学，通信工程， 工学学士
　　
　　工作经历：
　　·2019/08 - 至今， 厦门理工学院，计算机与信息工程学院，预聘教授
　　·2015/07 - 2019/07，厦门理工学院，计算机与信息工程学院，副教授
　　·2012/05 - 2015/06，厦门理工学院，计算机与信息工程学院，讲师
　　　　
　　讲授课程：
　　·计算机组成原理
　　·嵌入式C/C++软件综合实训
　　·无线传感网络
　　·通信原理
　　·物联网临就业培训
　　
　　科研项目：
l 国家自然科学基金面上项目“基于超复数的高保真磁共振波谱重建”（**，58万），2019.01-2022.12，主持
l 福建省自然科学基金项目“基于低秩张量表示的快速磁共振成像”（2016J05205，3万），2016.04-2019.04，主持
l 厦门市产学研协同创新及科技合作项目“快速磁共振波谱的高质量重建方法研究”(3502Z**，10万) ，2018年3月-2020年3月，主持
l 国家自然科学基金面上项目“基于空间-谱间自适应自稀疏表示的高光谱压缩成像方法研究”（**，分30%，18.9万），2017.01-2020.12，第2位
l 国家自然科学基金青年项目“低成本高光谱压缩采样与结构化稀疏重建”（**，分35%，7.7万），2017.01-2019.12，第2位
l 福建省自然科学基金项目“印刷体QR二维条码防伪数字水印技术研究”（2016J01327），2016.04-2019.04，第3位
l 国家自然科学基金青年项目“基于拓扑结构的无线传感网多模数据稀疏修复”（**，24万），2014.01-2016.12，主持
l 广东省数字信号与图像处理技术重点实验室开放基金“传感网多模数据的稀疏修复”（2013GDDSIPL-07，2万）2013.08-2015.07，主持
l 厦门理工学院人才引进项目“位置透明的传感网多模数据稀疏修复”（YKJ12021R，6万），2012.11-2014.12，主持
l 国家自然科学基金青年项目“空间编码可控的快速 MRI 高分辨率图像稀疏重建”（**），2013.01-2015.12，第4位
l 福建省自然科学基金项目“基于X线光谱图像的食源性有害物质的快速检测算法研究”（2014J01256），2014.01-2016.12，第3位



发表论文：
l Di Guo*, Zhangren Tu, Jiechao Wang, Min Xiao, Xiaofeng Du, Xiaobo Qu. Salt and pepper noise removal with multi-Class dictionary learning and L0 norm regularizations, Algorithms, 12(1): 7, 10.3390/a**, 2019. (EI期刊)
l 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., 2019. (SCI, JCR 1, TOP Journal, IF 12.26)
l 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 2, IF 3.56)
l 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)
l 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 Journal, IF 4.30)
l Xiaofeng Du, Xiaobo Qu, Yifan He, Di Guo*.Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural Network, Sensors, 18(3): 789, 2018. (SCI, JCR 3, IF 2.68)
l 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)
l 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, 12:777, 2018. (SCI, JCR 2, IF 3.88)
l 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. (SCI, JCR 3, IF 3.24)
l 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)
l 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 2, IF 3.56)
l 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 Journal, IF 4.30)
l Hong Zheng, Xiaobo Qu*, Zheng-Jian Bai, Yunsong Liu, Di Guo, Jiyang Dong, Xi Peng, Zhong Chen*, Fast multi-contrast MRI super-resolution with similar anatomical structures, BMC Medical Imaging, 17:6, DOI: 10.1186/s12880-016-0176-2, 2017. (SCI, JCR 4, IF 1.66)
l 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 3, IF 2.23)
l 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, pp. 3269-3272, July 11-15, Jeju Island, Korea, 2017. (EI)
l 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. (SCI&EI, JCR 1, 3-Year IF 4.09) [ESI高被引论文, 3%]
l 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&EI, JCR 2, IF 3.85) [ESI高被引论文, 3%]
l Zhifang Zhan, Jian-Feng Cai, Di Guo, Yunsong Liu, Zhong Chen, Xiaobo Qu*. Fast multi-class dictionaries learning with geometrical directions in MRI reconstruction, IEEE Transactions on Biomedical Engineering, 63(9):1850-1861, 2016. (SCI&EI, JCR 2, IF 2.35) [ESI高被引论文, 3%]
l Xiaobo Qu, Ying Chen, Xiaoxing Zhuang, Zhiyu Yan, Di Guo, Zhong Chen. Spread spectrum compressed sensing MRI using chirp radio frequency pulses, The 41^st IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP’16, Shanghai, China, 20th -25th, March, pp.689-693, 2016. (EI, TOP Conference, Oral presentation)
l Di Guo, Jingwen Yan, Xiaobo Qu*. “High quality multi-focus image fusion using self-similarity and depth information,” Optics Communications, 338: 138-144, 2015. (SCI&EI, JCR 3, IF 1.54)
l 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): e**, 2015. (SCI, JCR 2, IF 3.53) [ESI高被引论文, 1%]
l Lei Liu, Jingwen Yan, Di Guo, Yunsong Liu, Xiaobo Qu*. Undersampled hyperspectral image reconstruction based on surfacelet transform, Journal of Sensors, vol. 2015, Article ID 256391, 11 pages, 2015. doi:10.1155/2015/256391. (SCI)
l Lei Liu, Jingwen Yan, Xianwei Zheng, Hong Peng, Di Guo, Xiaobo Qu*. Karhunen-Loève transform for compressive sampling in hyperspectral imaging, Optical Engineering, 54(1), 014106, 2015. (SCI&EI, JCR 4, IF 0.96)
l 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, 33(5): 649-658, 2015. (SCI, JCR 4, IF 2.06)
l Di Guo, Xiaobo Qu, Meng Wu, Keshou Wu. “A modified iterative alternating direction minimization algorithm for impulse noise removal in images,” Journal of Applied Mathematics, Vol. 2014, Article ID 595782, 12 pages, 2014. (SCI, JCR 3, IF 0.83)
l Di Guo, Xiaobo Qu, Xiaofeng Du, Keshou Wu, and Xuhui Chen. “Salt and Pepper noise removal with noise detection and a patch-based sparse representation,” Advances in Multimedia, vol. 2014, Article ID 682747, 14 pages, 2014. (EI)
l 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&EI, JCR 1, 3-Year IF 4.09) [ESI高被引论文, 1%]
l Qiyue Li, Xiaobo Qu*, Yunsong Liu, Di Guo, Jing Ye, Zhifang Zhan, Zhong Chen*. “Parallel computing of patch-based nonlocal operator and its application in compressed sensing MRI,” Computational and Mathematical Methods in Medicine, vol. 2014, Article ID 257435, 6 pages, 2014. (SCI, IF 0.791)
l Xiaobo Qu*, Lei Li, Di Guo. Multi-focus image fusion with structure-driven adaptive regions, The 6th International Conference on Internet Multimedia Computing and Service-ICIMCS’14, pp. 86-89, Xiamen, China, 10th -12th, July, 2014. (EI)
l Xiaobo Qu*, Yingkun Hou, Fan Lam, Di Guo, Zhong Chen*. “Magnetic resonance image reconstruction using similarities learnt from multi-modal images,” 1st IEEE China Summit & International Conference on Signal and Information Processing-ChinaSIP'13, July 6-10, 2013, pp.264-268.(EI)
l 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, 31(9):1611-1622, 2013. (SCI, JCR 4, IF 2.06)
l 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, 12(7): 2485-2495, 2012. (SCI&EI, JCR 3, IF 1.47)
l Di Guo, Xiaobo Qu, Lianfen Huang*, Yan Yao. “Optimized local superposition in wireless sensor networks with t-average-mutual-coherence,” Progress in Electromagnetics Research, 122: 389-411, 2012. (SCI&EI, JCR 2, IF 3.76)
l 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 2012, May 20-23, Seoul, Korea, pp. 918-921. (Oral presentation, win student grant KRW550,000)
l Xiaobo Qu, Di Guo, Bende Ning, Shuhui Cai, Zhong Chen*. “Undersampled MRI reconstruction with patch-based directional wavelets,” Magnetic Resonance Imaging, 30(7): 964-977, 2012. (SCI, JCR 4, IF 2.21)
l Di Guo, Xiaobo Qu, Lianfen Huang, Yan Yao. “Sparsity-based spatial interpolation in wireless sensor networks, Sensors,” 11(3): 2385-2407, 2011. (SCI, JCR 2, IF 1.77)
l 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, 11(9): 8888-8909, 2011. (SCI, JCR 2, IF 1.77)
l Changwei Hu, Xiaobo Qu, Di Guo, Lijun Bao, Zhong Chen. “Wavelet-based edge correlation incorporated iterative reconstruction for undersampled MRI,” Magnetic Resonance Imaging, 29(7): 907-915, 2011. (SCI, JCR 4, IF 2.21)
l Xiaobo Qu, Xue Cao, Di Guo, Changwei Hu and Zhong Chen*. “Combined sparsifying transforms for compressed sensing MRI,” Electronics Letters, 46(2): 121-123, 2010. (SCI&EI, JCR 3, IF 1.07)
l 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, 18(6): 737-758, 2010. (SCI&EI, JCR 4, IF 0.69) [ESI高被引论文, 3%]
l Xiaobo Qu, Xue Cao, Di Guo, Changwei Hu, Zhong Chen. Compressed sensing MRI with combined sparsifying transforms and smoothed L0 norm minimization. The 35^th IEEE International Conference on Acoustics, Speech, and Signal Processing-ICASSP'10, Dallas, Texas, U.S.A., March 14-19, 2010, pp.626-629. (EI)
l Di Guo, Xiaobo Qu, Mingbo Xiao*, Yan Yao. “Comparative analysis on transform and reconstruction of compressed sensing in sensor networks,” in Int. Conf. Commun. and Mobile Computing, Jan. 6-8 2009, Kunming, China, pp.441-445. (EI)
l 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, Xiamen, China, Dec. 12-14, 2008, pp.693-696. (EI) [Oral presentation]
　　
　 知识产权：
·一种联合小波变换域和空间域的医学图像融合方法. 中国, ZL7.4, 第1.
·一种欠采样磁共振波谱的快速重建方法. 中国，ZL3.8, 第1.
·一种联合空间-时间稀疏性的传感网数据恢复方法. 中国, ZL3.9, 第1.