屈小波 个人主页(中文, English)

  

 
屈小波

教授，博导，国家优青
计算感知实验室 负责人
电子科学系 副主任
厦门大学 电子科学与技术学院(国家示范性微电子学院)
 

Email: quxiaobo <at> xmu.edu.cn
Email (助理): csrc_assistant <at> xmu.edu.cn
电话: (+86) 15396288685
地址: 福建省 厦门市 厦门大学 979信箱
邮编: 361005
 
办公室: 厦门大学 海韵园 物理机电大楼 343
 

招生：电子科学系 硕士（学硕/专硕）/ 博士
招募：电子科学与技术 博士后 / 访问学者
个人简介 研究领域 研究兴趣 教育背景 在研项目 教学经历 学术服务 获奖 发表论文
个人简介

屈小波 教授/博导，国家优秀青年科学基金获得者，就职于厦门大学电子科学与技术学院 (国家示范性微电子学院) 电子科学系，副系主任，福建省等离子体与磁共振研究重点实验室副主任，电子学院-中国移动（厦门）生物医学智能云研发中心主任，计算感知实验室负责人。从事计算磁共振和医学成像方法研究/产业化/临床应用，主持国家自然科学基金重点、优青和国家重点研发课题等项目，担任IEEE Transactions on Neural Networks and Learning Systems（IF 10)、IEEE Transactions on Computational Imaging等国际权威期刊编委，科技部/教育部/国家自然科学基金等重要项目评审专家，国家自然科学基金信息学部会评专家，所提方法在多家国产高端设备商产业化，牵头获得福建省自然科学一等奖、福建运盛青年科技奖、中国图象图形学会青年科学家奖、中国产学研合作创新奖等，参与获得国家教学成果二等奖等。指导博士生获国际华人磁共振学会青年研究员奖，硕士生获福建省优秀硕士学位论文、中国电子学会优秀硕士学位论文、研电赛全国决赛商业计划书全国一等奖、数字中国数字医疗全国一等奖等。以第一或通信作者发表的期刊包括医学成像/图像处理/生物医学工程/信号处理/神经网络学习等领域权威期刊IEEE Signal Processing Magazine、IEEE Trans. Medical Imaging、IEEE Trans. Signal Processing、IEEE Trans. BioMedical Engineering、IEEE Trans. Computational Imaging、IEEE Trans. Neural Networks and Learning Systems、Medical Image Analysis、Angewandte Chemie International Edition等，担任医疗健康、生物医学、人工智能、云计算、5G通信等领域知名企业顾问和创新创业导师。研究兴趣主要包括：(1) 理论：信号采样；图像表示；机器学习；人工智能；计算调和分析；大数据分析；(2) 应用：医学成像与图像分析；磁共振成像与波谱；医疗大数据与云计算；高性能芯片算法设计。

文章引用 [ISI Web of Sicence], [Scopus], [Google Scholar], [ORCID]
研究领域
d 计算磁共振成像与波谱    
研究兴趣
d 信号采样 d 磁共振成像与波谱
d 图像表示 d 医学成像与图像分析
d 机器学习 d 医疗大数据与云计算
d 人工智能 d 高性能芯片算法设计
d 计算调和分析 d 数学建模
教育背景
d

博士 (2008年9月- 2011年12月)
厦门大学 通信工程系
导师: 陈忠 教授
d

访问学者(Visiting Scholar), 中美联合博士生培养 (2009年10月-2011年10月)
美国伊利诺伊大学香槟分校 电子与计算机工程系
导师: 梁志培 教授
d 硕士研究生阶段 (2006年9月-2008年9月) 
厦门大学 通信工程系
导师: 闫敬文 教授
d 本科 (2002年9月-2006年6月) 
厦门大学 通信工程系 （原电子工程系 通信工程专业）
在研项目 （部分）
国家自然科学基金 优青项目 (No. 62122064) (2022年1月-2024年12月)，主持

国家自然科学基金 重点项目 (No. 62331021) (2024年1月-2028年12月)，主持
福建省自然科学基金 重点项目 (No. 2023J02005) (2023年1月-2025年12月)，主持

中央高校基本科研业务费专项资金 (No. 20720220063), (2022年1月-2024年12月)，主持
国家重点研发计划重点专项 (No. 2023YFF0714200) (2023年12月-2026年12月)，参与
***智能医学影像研发中心, (2024年1月-2027年12月)，主持
***智能成像算法软件开发, (2021年6月-2024年6月)，主持
教学经历

本科生：程序设计实践、电路分析 、电子信息实验
研究生：现代信号处理、医学成像技术前沿、智能仪器与装备前沿
学术服务 （部分）
会员:
  IEEE信号处理协会、IEEE生物医学工程、国际医学磁共振协会、中国生物医学工程学会、中国图像图形学会高级会员
期刊编辑
  2024年1月-至今 副主编，IEEE Transactions on Neural Networks and Learning Systems
2015年4月-至今 资深编委，BMC Medical Imaging
2020年12月-至今 编委，Magnetic Resonance Letters
2017年12月-至今 青年编委，波谱学杂志
2018年3月-2023年12月 副主编，IEEE Transactions on Computational Imaging
2014年5月-2020年12月 编委, Quantitative Imaging in Medicine and Surgery
 
获奖（部分）
2021年，国家优秀青年科学基金项目 获得者
2022年，福建省自然科学一等奖（1/5）
2022年，福建运盛青年科技奖
2023年，国家教学成果二等奖 （7/9）
2023年，中国图象图形学会 青年科学家奖
2023年，厦门市拔尖人才
2021年，国际华人磁共振协会青年研究员奖（张心林），指导老师
2021年，第二十一届全国波谱学学术年会 优秀墙报奖一等奖（黄奕晖），指导老师
2021年，第十六届研电赛全国决赛商业计划书 全国一等奖（方浩铭），指导老师
2022年，第十七届研电赛全国决赛商业计划书 全国一等奖（何王凤），指导老师
2022年，第十七届研电赛全国决赛商业计划书 最具商业价值奖（李嘉钰），指导老师
2022年，美国数学建模特等奖提名Finalist （宋海山,刘易,陈艺婷），指导老师
发表论文(部分，*表示通信作者，#表示第一作者)
d Chunyan Xiong, Chaoxing Zhang, Mengli Lu, Xiaotong Yu, Jian Cao, Zhong Chen, Di Guo, Xiaobo Qu*, Convex dual theory analysis of two-layer convolutional neural networks with soft-thresholding, IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2024.3353795, 2024
d Dicheng Chen#, Meijin, Lin#, Huiting Liu, Jiayu Li, Yirong Zhou, Taishan Kang, Liangjie Lin, Zhigang Wu, Jiazheng Wang, Jing Li, Jianzhong Lin, Xi Chen, Di Guo, Xiaobo Qu*, Magnetic resonance spectroscopy quantification aided by deep estimations of imperfection factors and overall macromolecular signal, IEEE Transactions on Biomedical Engineering, 71(6): 1841-1852, 2024.
d Zi Wang#, Haoming Fang#, Chen Qian, Boxuan Shi, Lijun Bao, Liuhong Zhu, Jianjun Zhou, Wenping Wei, Jianzhong Lin, Di Guo, Xiaobo Qu*, A faithful deep sensitivity estimation for accelerated magnetic resonance imaging, IEEE Journal of Biomedical and Health Informatics, 28(4): 2126-2137, 2024
d Yirong Zhou, Yanhuang Wu, Yuhan Su, Jing Li, Jianyun Cai, Yongfu You, Di Guo, Xiaobo Qu*, Cloud-magnetic resonance imaging system: In the era of 6G and artificial intelligence, Magnetic Resonance Letters, 200138, 2024.
d Xiaodie Chen#, Jiayu Li#, Dicheng Chen, Yirong Zhou, Zhangren Tu, Meijin Lin, Taishan Kang, Jianzhong Lin, Tao Gong, Liuhong Zhu, Jianjun Zhou, Jiefeng Guo, Jiyang Dong, Di Guo, Xiaobo Qu*, CloudBrain-MRS: An intelligent cloud computing platform for in vivo magnetic resonance spectroscopy preprocessing, quantification, and analysis, Journal of Magnetic Resonance, 358: 107601, 2024.
d Qinqin Yang, Zi Wang, Kunyuan Guo, Congbo Cai, Xiaobo Qu*, Physics-driven synthetic data learning for biomedical magnetic resonance: The imaging physics-based data synthesis paradigm for artificial intelligence, IEEE Signal Processing Magazine, 40(2):129-140, 2023. [Review]
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, 34(9): 6214-6226, 2023.
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, 34(10): 7578-7592, 2023.
d Di Guo, Zhangren Tu, Yi Guo, Yirong Zhou, Jian Wang, Zi Wang, Tianyu Qiu, Min Xiao, Liubin Feng, Yuqing Huang, Donghai Lin, Yongfu You, Amir Goldbourt, Xiaobo Qu*, XCloud-VIP: Virtual peak enables highly accelerated NMR spectroscopy and faithful quantitative measures, IEEE Transactions on Computational Imaging, 9: 1043-1057, 2023
d Di Guo, Xianjing Chen, Mengli Lu, Wangfeng He, Sihui Luo, Yanqin Lin, Yuqing Huang, Lizhi Xiao, Xiaobo Qu*, Review and prospect: Applications of exponential signals with machine learning in nuclear magnetic resonance, Spectroscopy, 38(9): 22-32, 2023. [Review]
d Xinlin Zhang, Hengfa Lu, Di Guo, Zongying Lai, Huihui Ye, Xi Peng, Bo Zhao, Xiaobo Qu*, Accelerated MRI reconstruction with separable and enhanced low-rank Hankel regularization, IEEE Transactions on Medical Imaging, 41(9): 2486-2498, 2022.
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. (IF 4.54)
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 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. (IF 4.02)
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 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. [Review]
d Gushan Zeng, Yi Guo, Jiaying Zhan, Zi Wang, Zongying Lai, Xiaofeng Du, Xiaobo Qu, Di Guo*, A reivew on deep learning MRI reconstruction without fully sampled k-space, BMC Medical Imaging, 21:195, 2021. [Review]
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*, 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 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. [Review]
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 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.
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 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 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 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 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 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 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 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 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 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 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, 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.
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.