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个人简介

刘羽,博士,副教授,硕士生导师,2007-2016年就读于中国科学技术大学信息科学技术学院,获工学学士学位(2011年6月)、工学博士学位(2016年6月),曾获中科大郭沫若奖学金、中国科学院院长优秀奖。2016年7月进入合肥工业大学仪器科学与光电工程学院任职。目前主要从事图像处理、计算机视觉、机器学习相关方向的研究,具体包括多源图像融合、图像复原、物体识别、医学图像分析等。近年来,作为项目负责人承担了国家自然科学基金、安徽省自然科学基金、商汤青年科研基金等科研项目6项,在INFFUS、IEEETIP、IEEESPL、IEEETIM、J-VCIR、IETIP、CBM、MTAP、中国图象图形学报、ICIP、ICIF、MMSP、IST、ICIG、CCCV、CCPR等国内外知名期刊会议上发表学术论文30余篇,论文总计被引1000余次,多篇次入选ESI热点论文和ESI高被引论文,曾获国际期刊IETImageProcessing年度最佳论文奖。担任国际期刊InformationFusion编委。担任IEEETPAMI、IEEETIP、IEEETMI、IEEETMM、IEEETBME、IEEETIM、IEEESPL、InformationFusion、SignalProcessing、Neurocomputing、OpticsExpress、AppliedOptics等20余个国际知名期刊审稿人。开设课程 本科生:《医学模式识别》、《医学图像处理》 研究生:《模式识别》、《图像分析》 科研项目 1.国家自然科学基金青年科学基金项目,61701160,JZ2017GJQN1116,2018.01-2020.12,26.41万元,在研,项目负责人 2.安徽省自然科学基金青年基金项目,1808085QF186,JZ2018AKZR0066,2018.07-2020.06,10万元,在研,项目负责人 3.商汤青年科研基金,W2018JSKF0481,2018.11-2019.10,20万元,在研,项目负责人 4.合肥工业大学学术新人提升计划B项目,JZ2018HGTB0228,2018.05-2019.12,20万元,在研,项目负责人 5.合肥工业大学学术新人提升计划A项目,JZ2017HGTA0176,2017.03-2018.12,5万元,结题,项目负责人 6.合肥工业大学校博士专项科研资助基金,JZ2016HGBZ1025,2016.10-2018.09,2万元,结题,项目负责人 7.国家科技部重点研发计划子课题,2017.10-2021.09,91.43万元,项目骨干,在研申请专利 1.汪增福,刘羽,一种实时的多模态医学图像融合方法,中国发明专利,专利授权号:ZL201410427772.3 2.陈勋,徐雪远,陈强,成娟,刘羽,一种少数通道的脑电信号中肌电伪迹的消除方法,中国发明专利,专利授权号:ZL201710054115.2 3.刘羽,张超,陈勋,成娟,李畅,宋仁成,基于非下采样轮廓波变换和卷积神经网络的骨龄评估方法,中国发明专利,专利申请号:201810965998.7,公开号:CN109118487A 4.李畅,刘羽,成娟,宋仁成,陈强,彭虎.一种基于逐波段广义双线性模型的高光谱图像的解混方法,中国发明专利,专利申请号:201811097454.X,公开号:CN109785242A 获奖成果 国际期刊《IETImageProcessing》2017年度最佳论文奖 2017年中国生物医学工程大会青年论文竞赛二等奖

研究领域

图像处理、计算机视觉、机器学习

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

一、期刊论文(*表示通讯作者) 1)一作/通讯: [1].YuLiu,ChaoZhang,JuanCheng,XunChen,Z.JaneWang,“Amulti-scaledatafusionframeworkforboneageassessmentwithconvolutionalneuralnetworks”,ComputersinBiologyandMedicine,inpress,DOI:https://doi.org/10.1016/j.compbiomed.2019.03.015,2019. [2].YuLiu,XunChen,RababWard,Z.JaneWang,“Medicalimagefusionviaconvolutionalsparsitybasedmorphologicalcomponentanalysis”,IEEESignalProcessingLetters,vol.26,no.3,pp.485-489,2019. [3]MingYin,XiaoningLiu,YuLiu*,XunChen,“Medicalimagefusionwithparameter-adaptivepulsecoupledneuralnetworkinnonsubsampledshearlettransformdomain”,IEEETransactionsonInstrumentationandMeasurement,vol.68,no.1,pp.49-64,2019. [4]YuLiu,XunChen,ZengfuWang,Z.JaneWang,RababWard,X.Wang,“DeepLearningforPixel-levelImageFusion:RecentAdvancesandFutureProspects,”InformationFusion,vol.42,pp.158-173,2018.主编邀稿 [5]YuLiu,XunChen,JuanCheng,HuPeng,ZengfuWang,“Infraredandvisibleimagefusionwithconvolutionalneuralnetworks”,InternationalJournalofWavelets,MultiresolutionandInformationProcessing,vol.16,no.3,1850018:1-20,2018. [6]YuLiu,XunChen,HuPeng,ZengfuWang,“Multi-focusimagefusionwithadeepconvolutionalneuralnetwork”,InformationFusion,vol.36,pp.191–207,2017.ESI高被引论文 [7]YuLiu,BaocaiYin,JunYu,ZengfuWang,“Imageclassificationbasedonconvolutionalneuralnetworkswithcross-levelstrategy”,MultimediaToolsandApplications,vol.76,no.8,pp.11065-11079,2017. [8]YuLiu,XunChen,RababWard,Z.JaneWang,“ImageFusionWithConvolutionalSparseRepresentation”,IEEESignalProcessingLetters,vol.23,no.12,pp.1882-1886,2016. [9]YuLiu,ShupingLiu,YangCao,ZengfuWang,“Automaticchessboardcornerdetectionmethod”,IETImageProcessing,vol.10,no.1,pp.16-23,2016. [10]YuLiu,ZengfuWang,“DenseSIFTforghost-freemulti-exposurefusion”,JournalofVisualCommunicationandImageRepresentation,vol.31,pp.208-224,2015. [11]YuLiu,ShupingLiu,ZengfuWang,“Ageneralframeworkforimagefusionbasedonmulti-scaletransformandsparserepresentation”,InformationFusion,vol.24,pp.147-164,2015.ESI热点论文、ESI高被引论文、MostcitedarticlepublishedinINFFUSsince2015 [12]YuLiu,ZengfuWang,“Simultaneousimagefusionanddenoisingwithadaptivesparserepresentation”,IETImageProcessing,vol.9,no.5,pp.347-357,2015.IETImageProcessing2017年度最佳论文,1/230 [13]YuLiu,ShupingLiu,ZengfuWang,“Multi-focusimagefusionwithdenseSIFT”,InformationFusion,vol.23,pp.139-155,2015.ESI高被引论文 [14]刘羽,汪增福.结合小波变换和自适应分块的多聚焦图像快速融合,中国图象图形学报,vol.18,no.11,pp.1435-1444,2013. 2)合作: [1]YuZhang,YuLiu,PengSun,HanYan,XiaolinZhao,LiZhang,“IFCNN:Ageneralimagefusionframeworkbasedonconvolutionalneuralnetwork”,InformationFusion,inpress,2019. [2]ChangLi,WeiTao,JuanCheng,YuLiu,XunChen,“RobustmultichannelEEGcompressedsensinginthepresenceofmixednoise”,IEEESensorsJournal,inpress,2019. [3]JuanCheng,LuchangLi,ChangLi,YuLiu,AipingLiu,RuobingQian,XunChen,“Removediverseartifactssimultaneouslyfromasingle-channelEEGbasedonSSAandICA:Asemi-simulatedstudy”,IEEEAccess,vol.7,pp.60276-60289,2019. [4]LeiMa,YuLiu,XueliangZhang,YuanxinYe,GaofeiYin,BrianAlanJohoson,“Deeplearninginremotesensingapplications:Ameta-analysisandreview”,ISPRSJournalofPhotogrammetryandRemoteSensing,vol.152,pp.166-177,2019. [5]DingyiLi,YuLiu,ZengfuWang,“Videosuper-resolutionusingnon-simultaneousfullyrecurrentconvolutionalnetwork”,IEEETransactionsonImageProcessing,vol.28,no.3,pp.1342-1355,2019. [6]XunChen,JuanCheng,RenchengSong,YuLiu,RababWard,Z.JaneWang,“Video-basedheartratemeasurement:Recentadvancesandfutureprospects”,IEEETransactionsonInstrumentationandMeasurement,inpress,2018. [7]XuesongWang,ChenChen,YuhuChen,XunChen,YuLiu,“Zero-shotlearningbasedondeepweightedattributeprediction”,IEEETransactionsonSystems,Man,andCybernetics:Systems,inpress,2018. [8]JuanCheng,FulinWei,ChangLi,YuLiu,AipingLiu,XunChen,“Position-independentgesturerecognitionusingsEMGsignalsviacanonicalcorrelationanalysis”,ComputersinBiologyandMedicine,vol.103,pp.44-54,2018. [9]ChangLi,YuLiu,JuanCheng,RenchengSong,HuPeng,QiangChen,XunChen,“Hyperspectralunmixingwithbandwisegeneralizedbilinearmodel”,RemoteSensing,vol.2018,no.10,paperID1600,pp.1-10,2018. [10]ZhengyuanXu,YuLiu,MingquanYe,LeiHuang,HaoYu,XunChen,“PatchbasedcollaborativerepresentationwithGaborfeatureandmeasurementmatrixforfacerecognition”,MathematicalProblemsinEngineering,vol.2018,paperID3025264,pp.1-13,2018. [11]XunChen,AipingLiu,QiangChen,YuLiu,LiangZou,“SimultaneousOcularandMuscleArtifactRemovalFromEEGDatabyExploitingDiverseStatistics”,ComputersinBiologyandMedicine,vol.88,pp.1-10,2017. [12]刘淑萍,刘羽,於俊,汪增福.结合手指检测和HOG特征的分层静态手势识别,中国图象图形学报,vol.20,no.6,pp.781-788,2015.(《中国图象图形学报》2016年度优秀论文) [13]殷保才,刘羽,汪增福.结合色度和纹理不变性的运动阴影检测,中国图象图形学报,vol.19,no.6,pp.896-905,2014. [14]向文辉,刘羽,曹洋,汪增福.基于车载单目图像的3维地平面估计,机器人,vol.36,no.1,pp.76-82,2014. 二、会议论文(*表示通讯作者): [1]XunChen,ChaoZhang,YuLiu*,“BoneAgeAssessmentwithX-RayImagesBasedonContourletMotivatedDeepConvolutionalNetworks”,20thIEEEInternationalWorkshoponMultimediaSignalProcessing(MMSP),Vancouver,Canada,Aug.29-31,2018,pp.1-6. [2]DingyiLi,YuLiu,ZengfuWang,“Videosuper-resolutionusingmotioncompensationandresidualbidirectionalrecurrentconvolutionalnetwork”,24thIEEEInternationalConferenceonImageProcessing(ICIP),Beijing,China,Sep.17-20,2017,pp.1642-1646. [3]YuLiu,XunChen,JuanCheng,HuPeng,“Amedicalimagefusionmethodbasedonconvolutionalneuralnetworks”,20thInternationalConferenceonInformationFusion(ICIF),Xi’an,China,July10-13,2017,pp.1070-1076. [4]YuLiu,BaocaiYin,JunYu,ZengfuWang,“Cross-level:Apracticalstrategyforconvolutionalneuralnetworksbasedimageclassification”,1stCCFChineseConferenceonComputerVision(CCCV),Xi’an,China,Sep.18-20,2015,CCIS546,pp.398-406. [5]YuLiu,ShupingLiu,YangCao,ZengfuWang,“Apracticalalgorithmforautomaticchessboardcornerdetection”,21thIEEEInternationalConferenceonImageProcessing(ICIP),Paris,France,Oct.27-30,2014,pp.3394-3398. [6]YuLiu,ShupingLiu,ZengfuWang,“MedicalImageFusionbycombiningnonsubsampledcontourlettransformandsparserepresentation”,6thChineseConferenceonPatternRecognition(CCPR),Nov.17-19,Changsha,China,2014,pp.372-381. [7]ShupingLiu,YuLiu,JunYu,ZengfuWang,“AstatichandgesturerecognitionalgorithmbasedonKrawtchoukmoments”,6thChineseConferenceonPatternRecognition(CCPR),Nov.17-19,Changsha,China,2014,pp.321-330. [8]YuLiu,ZengfuWang,“Apracticalpan-sharpeningmethodwithwavelettransformandsparserepresentation”,10thIEEEInternationalConferenceonImagingSystemsandTechniques(IST),Beijing,China,Oct.22-23,2013,pp.288-293. [9]YuLiu,ZengfuWang,“Multi-focusimagefusionbasedonsparserepresentationwithadaptivesparsedomainselection”,7thInternationalConferenceonImageandGraphics(ICIG),Qingdao,China,Jul.26-28,2013,pp.591-596.

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