西电教师个人主页系统 王蓉芳 中文主页
王蓉芳，西安电子科技大学人工智能学院副教授，博士学历，硕士生导师。2015年11月入职西安电子科技大学；2018年8月至2020年8月，前往美国德州大学西南医学中心交流访问。现为西安电子科技大学智能感知与图像理解教育部重点实验室成员，美国电气电子工程师协会(IEEE)会员，中国电子学会会员。
主要研究方向为机器学习，计算机视觉，智能遥感影像分析与解译，智能医学信息处理。通过不断学习和积累，在国际权威期刊/会议发表论文30余篇，已授权国家发明专利20余项。主持国家自然科学基金面上项目一项；主持陕西省自然科学基金面上项目一项；主持中科院国家重点实验室开放课题一项；主持武汉大学国家重点实验室开放课题一项；主持吉林大学等高校开放课题三项；主持与广东省惠州市企业合作的横向项目一项。作为主要参与人，参与国家重大项目“973”计划项目子课题一项，参与陕西省重点计划项目两项。
研究方向1. 机器学习
2.计算机视觉3.智能遥感影像分析与解译4. 智能医学信息处理
招生信息硕士研究生招生专业：
081200计算机科学与技术
085404计算机技术（专业学位）
085410人工智能 （专业学位）
（原来的085400电子信息更改为085404和085410两个专业）
面向西安电子科技大学本部、西电广研院招生；
优先考虑编程能力强、英语和数学功底好的学生；
欢迎校内、外保研，以及统考学生报考或咨询。
欢迎有意向的推免生邮件联系，联系邮箱：rfwang@xidian.edu.cn
Q1：西电人工智能学院硕士研究生有哪些专业？
2023年硕士研究生招生人工智能学院专业目录
Q2：西电人工智能学院的推免政策和流程是怎样的呢？
2022年推免硕士研究生接收方案
2023年推荐免试硕士研究生预报名
Q3：西电人工智能学院的招生咨询联系方式是什么呢？
西电人工智能学院招生咨询联系方式
论文成果
[1] WangR,GuoJ,ZhouZ,etal.Locoregionalrecurrencepredictioninheadandneckcancerbasedonmulti-modalityandmulti-viewfeatureexpansion[J].PhysicsinMedicine&Biology,2022,67(12):125004. [pdf] [codes]
[2] WangR,WangL,WeiX,etal.Dynamicgraph-levelneuralnetworkforSARimagechangedetection[J].IEEEGeoscienceandRemoteSensingLetters,2021,19:1-5. [pdf] [data] [codes]
[3] GuoJ,WangR,ZhouZ,etal.Multi-ModalityandMulti-View2DCNNtoPredictLocoregionalRecurrenceinHead&NeckCancer[C]//2021InternationalJointConferenceonNeuralNetworks(IJCNN).IEEE,2021:1-7. [pdf]
[4] WangR,WangL,DongP,etal.Graph-levelneuralnetworkforSARimagechangedetection[C]//2021IEEEInternationalGeoscienceandRemoteSensingSymposiumIGARSS.IEEE,2021:3785-3788. [pdf]
[5] WangR,WangW,DongP,etal.SarImageChangeDetectionviaaFew-ShotLearning-BasedNeuralNetwork[C]//2021IEEEInternationalGeoscienceandRemoteSensingSymposiumIGARSS.IEEE,2021:5287-5290. [pdf]
[6] Chen,L.,Dohopolski,M.,Zhou,Z.,Wang,K.,Wang,R.,Sher,D.J.,&Wang,J.(2020).SegmentationGuidedClassificationSchemeforLymphNodeMalignancyPredictioninHeadandNeckCancer.InternationalJournalofRadiationOncology,Biology,Physics,108(3),e841.
[7] Wang,K.,Zhou,Z.,Chen,L.,Wang,R.,Sher,D.,&Wang,J.(2020,June).HeadNeckCancerLocoregionalRecurrencePredictionUsingDelta-RadiomicsFeature.InMEDICALPHYSICS(Vol.47,No.6,pp.E622-E623).111RIVERST,HOBOKEN07030-5774,NJUSA:WILEY. [pdf]
[8] Wang,R.,Zhang,Y.,Pachnis,P.,Vu,H.,Wang,K.,Deberardinis,R.,&Wang,J.(2020,June).DecipheringMetabolicFeaturestoTargetNeuroblastomaUsingMachineLearning.InMEDICALPHYSICS(Vol.47,No.6,pp.E356-E357).111RIVERST,HOBOKEN07030-5774,NJUSA:WILEY.
[9] ZhiguoZhou,RongfangWang,JingYang,RongbinXu, andJinkunGuo.Multimodalweightednetworkfor3DbraintumorsegmentationinMRIimages.InMedicalImaging2021:BiomedicalApplicationsinMolecular,Structural,andFunctionalImaging2021Feb15(Vol.11600,p.116001O).InternationalSocietyforOpticsandPhotonics. [pdf]
[10] LiyuanChen,MichaelDohopolski,ZhiguoZhou,KaiWang,RongfangWang,DavidSher,andJingWang.AttentionGuidedLymphNodeMalignancyPredictioninHeadandNeckCancer.InternationalJournalofRadiationOncology*Biology*Physics.2021. [pdf]
[11] KaiWang,ZhiguoZhou,RongfangWang,LiyuanChen,QiongwenZhang,DavidSherandJingWang*.Amulti‐objectiveradiomicsmodelforthepredictionoflocoregionalrecurrenceinheadandnecksquamouscellcancer.Medicalphysics,2020,47(10):5392-400. [pdf]
[12] RongfangWang,YuanyuanZhang,PanayotisPachnis,HieuVu,KaiWang,RalphDeBerardinisandJingWang.Decipheringmetabolicvulnerabilitiestotargetneuroblastomausingmachinelearningmethods.AmericanAssociationofPhysicistsinMedicineAnnualMeeting,July12-16,2020.Virtualmeeting,UnitedStates.(Oralpresentation)
[13] JingYang,RongfangWang*,YaochungWeng,LiyuanChen,ZhiguoZhou.AHierarchical3DU-NetforBrainTumorSubstructureSegmentation.AmericanAssociationofPhysicistsinMedicineAnnualMeeting,July12-16,2020.Virtualmeeting,UnitedStates.(eposterpresentation) [pdf]
[14] RongfangWang,FanDing,JiaweiChen,BoLiu,JieZhang,andLichengJiao.SARImageChangeDetectionMethodviaaPyramidPoolingConvolutionalNeuralNetwork.InIGARSS2020-2020IEEEInternationalGeoscienceandRemoteSensingSymposium,IEEE,2020,312-315. [pdf]
[15] RongfangWang,WeidongWang,JiaweiChen,LichengJiao,andHongxiaHao.ADeepGeneralizedCorrelationNetworkforBitemporalImageChangeDetection.InIGARSS2020-2020IEEEInternationalGeoscienceandRemoteSensingSymposium,IEEE,2020,2547-2550. [pdf]
[16] RongfangWang,FanDing,JiaweiChen,LichengJiao,andLingWang.ALightweightConvolutionalNeuralNetworkforBitemporalImageChangeDetection.InIGARSS2020-2020IEEEInternationalGeoscienceandRemoteSensingSymposium,IEEE,2020,2551-2554. [pdf]
[17] RongfangWang,FanDing,LichengJiao,JiaweiChen*,BoLiu,WenpingMa,andMiWang.LightweightconvolutionalneuralnetworkforbitemporalSARimagechangedetection.JournalofAppliedRemoteSensing,2020,14(3):036501. [pdf]
[18] JiaweiChen,RongfangWang*,FanDing,BoLiu,LichengJiao,JieZhang.Aconvolutionalneuralnetworkwithparallelmulti-scalespatialpoolingtodetecttemporalchangesinSARimages.RemoteSensing,2020,12(10):1619. [pdf]
[19] RongfangWang,YaochungWeng,ZhiguoZhou,LiyuanChen,HongxiaHaoandJingWang.Multi-objectiveensembledeeplearningusingelectronichealthrecordstopredictoutcomesafterlungcancerradiotherapy.PhysicsinMedicine&Biology,2019,64:245005.1-14 [pdf]
[20] ShashaMao,JiaweiChen,LichengJiao,ShuipingGouandRongfangWang.Maximizingdiversitybytransformedensemblelearning.AppliedSoftComputing.2019,82:105580.1-10.
[21] RongfangWang*,YWeng,ZZhou,LChen,JWang.MultiobjectiveEnsembleDeepLearningforPredictingOutcomeAfterLungCancerRadiotherapyUsingElectronicHealthRecords.Medicalphysics,2019,46(6):E283-E284.
[22] RongfangWang,JiaweiChen,YuleWang,LichengJiaoandMiWang.SARImageChangeDetectionviaSpatialMetricLearningwithanImprovedMahalanobisDistance.IEEEGeoscienceandRemoteSensingLetters,2019,17(1):77-81. [pdf]
[23] RongfangWang,JiaweiChen*,LichengJiaoandMiWang.HowCanDespecklingandStructuralFeaturesBenefittoChangeDetectiononBitemporalSARImages?RemoteSensing,2019,11(4):421-440. [pdf]
[24] RongfangWang,JieZhang,JiaweiChen,LichengJiao,andMiWang.ImbalancedLearning-BasedAutomaticSARImagesChangeDetectionbyMorphologicallySupervisedPCA-Net.IEEEGeoscienceandRemoteSensingLetters,2019,16(4):554-558. [pdf]
[25] Feng,J.,Liu,L.,Zhang,X.,Wang,R.,&Liu,H.(2017,July).Hyperspectralimageclassificationbasedonstackedmarginaldiscriminativeautoencoder.In2017IEEEInternationalGeoscienceandRemoteSensingSymposium(IGARSS)(pp.3668-3671).IEEE.
[26] JingGu*,LichengJiao,FangLiu,ShuyuanYang,RongfangWang,PuhuaChen,YuanhaoCui,JunhuXie,andYakeZhang.Randomsubspacebasedensemblesparserepresentation.PatternRecognition,2018,74:544-55.
[27] YifeiSun,LichengJiao,XiaozhengDeng,andRongfangWang.Dynamicnetworkstructuredimmuneparticleswarmoptimisationwithsmall-worldtopology.InternationalJournalofBio-InspiredComputation,2017,9(2):93-105.
[28] HongyingLiu,ShuyuanYang*,ShuipingGou,DexiangZhu,RongfangWang,andLichengJiao.PolarimetricSARfeatureextractionwithneighborhoodpreservation-baseddeeplearning,IEEEJournalofSelectedTopicsinAppliedEarthObservationsandRemoteSensing,2017,10(4):1456-1466.
[29] HongyingLiu,ShuangWang,RongfangWang,JunfeiShi,ErleiZhang,ShuyuanYang,andLichengJiao.AFrameworkforClassificationofUrbanAreasUsingPolarimetricSARImagesIntegratingColorFeaturesandStatisticalModel.JournalofInfraredandMillimeterWaves,2016,35(4):398-406.
[30] RongfangWang,LichengJiao,FangLiu,andShuyuanYang.Block-basedadaptivecompressedsensingofimageusingtextureinformation. ActaElectronicaSinica, 2013,41(8):1506-1514.
[31] RongfangWang,LichengJiao,FangLiu,andShuyuanYang.Naturecomputationwithself-adaptivedynamiccontrolstrategyofpopulationsize.RuanjianXuebao/JournalofSoftware,2012,23(7):1760-1772.