韩飞教师姓名：　韩飞职务职称：　副教授所属系部：　基础部研究方向：　智能信息处理联系电话：　0511-88790321-533电子邮箱：　hanfei@ujs.edu.cn个人简介教育背景
2003.9-2006.6在中国科学技术大学自动化系攻读博士学位，获工学博士学位
2000.9-2003.7在合肥工业大学计算机与信息学院攻读硕士学位，获工学硕士学位海外经历
2010.7-2011.7受国家留学基金委公派至新加坡国立大学计算学院访问一年学术任职
1)国际神经网络学会（InternationalNeuralNetworkSociety）委员
2)江苏省人工智能专业委员会委员
3)智能计算国际会议（InternationalConferenceonIntelligentComputing（2007-2013））程序委员会委员
4)神经信息处理国际会议（InternationalConferenceonNeuralInformationProcessing（2012,2013））程序委员会委员获奖情况
中国科学院院长奖2006教研成果科研项目
1)国家自然科学基金面上项目(61271385)“编码先验约束的高维小样本数据处理方法的研究”，2013.1-2016.12(主持)
2)国家自然科学基金青年项目(60702056)“基于粒子群优化和先验信息的约束学习算法研究”，2008.1-2010.12(主持)
3)江苏省自然科学基金(BK2009197)”编码先验知识的双重搜索算法及其在癌症诊断方面的研究”.2009.7-2011.12(主持)
4)中国科学院优秀博士学位论文、院长奖获得者科研启动专项资金“基于先验信息约束的学习算法研究”，2007.1－2009.12.2007.1-2009.12(主持)
5)中科院“百人计划”入选者专项经费，2001.3-2004.3(参与)
6)国家自然科学基金面上项目(60173050)“径向基概率神经网络的遗传选择和优化”，2001.12-2003.12(参与)
7)中科院海外杰出学者合作基金项目，“小鼠海马群体神经元在学习记忆中的编码规律研究”，2005.7-2008.7(参与)
8)国家自然科学基金面上项目(60405002)“一种新的基于RNN簇吸引子的模式流识别方法研究”，2005.1-2007.12(参与)已发表和录用的部分期刊论文（2006年后）
1)FeiHan,QingLiu,“ADiversity-GuidedHybridParticleSwarmOptimizationBasedonGradientSearch”,Neurocomputing,(Accepted)(inEnglish)
2)FeiHan,Hai-FenYao,Qing-HuaLing,“Animprovedevolutionaryextremelearningmachinebasedonparticleswarmoptimization”,Neurocomputing,(待出版)(inEnglish)doi:http://dx.doi.org/10.1016/j.neucom.2011.12.062
3)FeiHan,JianshengZhu,“ImprovedParticleSwarmOptimizationCombinedwithBackpropagationforFeedforwardNeuralNetworks”,InternationalJournalofIntelligentSystems,Vol.28,No.3,pp.271-288,2013(inEnglish)
4)韩飞，杨春生，“一种改进的基于梯度搜索的粒子群优化算法”，南京大学学报（自然科学版）Vol.49,No.2,pp.196-201,2013
5)Qing-HuaLing,FeiHan,“ImprovingtheConditioningofExtremeLearningMachinebyUsingParticleSwarmOptimization”,InternationalJournalofDigitalContentTechnologyanditsApplications,Vol.6,No.2,pp.85-93,2012.(inEnglish)
6)JuanjuanTu,YongzhaoZhan,FeiHan,“AnimprovedPSOalgorithmcouplingwithpriorinformationforfunctionapproximation”,Informationtechnologyjournal,Vol.10,No.11,2011,pp.2226-2231.(inEnglish)
7)NaZhu,YingZhang,YumeiCai,FeiHan,“AGameEquilibratedRapidDynamicRestorationStrategyinASON”,PhotonicNetworkCommunications,Vol.20,No.1,pp.83–93,2010.(inEnglish)
8)FeiHan,Tong-YueGu,Shi-GuangJu,"AnImprovedHybridAlgorithmBasedonPSOandBPforFeedforwardNeuralNetworks",InternationalJournalofDigitalContentTechnologyanditsApplications,Vol.5,No.2,pp.106-115,2011.(inEnglish)
9)FeiHan,Qing-HuaLing,De-ShuangHuang,“Animprovedapproximationapproachincorporatingparticleswarmoptimizationandaprioriinformationintoneuralnetworks”,NeuralComputingandApplications,Vol.19,pp256-261,2010(inEnglish)
10)FeiHan,Qing-HuaLing,De-ShuangHuang,“ModifiedConstrainedLearningAlgorithmsIncorporatingAdditionalFunctionalConstraintsIntoNeuralNetworks”,InformationSciences,Vol178,No.3,pp907-919,2008(inEnglish)
11)FeiHan,De-ShuangHuang,“Anewconstrainedlearningalgorithmforfunctionapproximationbyencodingaprioriinformationintofeedforwardneuralnetworks”,NeuralComputingandApplications,Vol.17,pp433-439,2008(inEnglish)
12)FeiHan,De-ShuangHuang,ZhiHuaZhu,TiehuaRong，“Theforecastofthepostoperativesurvivaltimeofpatientssufferedfromnon-smallcelllungcancerbasedonPCAandextremelearningmachine”,InternationalJournalofNeuralSystems,Vol.16,No.1,pp.39-46,2006(inEnglish)
13)FeiHan,Qing-HuaLing,“ANewApproachforFunctionApproximationIncorporatingAdaptiveParticleSwarmOptimizationAndAPrioriInformation,”AppliedMathematicsandComputation,Vol.205,pp792-798,2008(inEnglish)
14)FeiHan,De-ShuangHuang,“Improvedextremelearningmachineforfunctionapproximationbyencodingaprioriinformation”,Neurocomputing,Vol.69,No.16-18,pp.2369-2373,2006(inEnglish)
15)FeiHan,D.S.Huang,“Improvedconstrainedlearningalgorithmsbyincorporatingadditionalfunctionalconstraintsintoneuralnetworks,”AppliedMathematicsandComputation,Vol.174,No.1,pp.34-50,2006(inEnglish)
16)FeiHan,Xu-QinLi,MichaelR.Lyu,Tat-MingLok,“Amodifiedlearningalgorithmincorporatingadditionalfunctionalconstraintsintoneuralnetworks”,InternationalJournalofPatternRecognitionandArtificialIntelligence,Vol.20,No.2,pp.129-142,2006.(inEnglish)
17)朱志华，韩飞，郑春厚，黄德双，戎铁华，“极端学习机与支撑向量机在早期非小细胞肺癌预后预测的比较研究”，模式识别与人工智能,Vol.18,No.5,pp.636-640,2005已发表的部分国际会议论文（2006年后）
1)FeiHan,QingLiu,“ADiversity-GuidedHybridParticleSwarmOptimization”,CommunicationsinComputerandInformationScience,Volume304:461-466,2012
2)FeiHan,Hai-FenYao,Qing-HuaLing,“Animprovedextremelearningmachinebasedonparticleswarmoptimization”,The7thInternationalConferenceonIntelligentComputing,Zhengzhou,China,LNBI6840,pp.699-704,2011.(inEnglish)
3)YuCui,FeiHan,Shi-GuangJu,“GeneSelectionandPSO-BPClassifierEncodingapriorinformation,AdvancesinSwarmIntelligence”,LectureNotesinComputerScience,Volume6146:335-342,2010.(inEnglish)
4)YuCui,FeiHan,Shi-GuangJu,“ADiversityGuidedPSOCombinedwithBPforFeedforwardNeuralNetworks”,20103rdInternationalCongressonImageandSignalProcessing(CISP),Volume4:1538–1542,2010.(inEnglish)
5)Tong-YueGu,Shi-GuangJu,FeiHan,“APSOAlgorithmwiththeImprovedDiversityforFeedforwardNeuralNetworks”,SecondInternationalSymposiumonIntelligentInformationTechnologyandSecurityInformatics,2009.IITSI'09.pp123-127,2009(inEnglish)
6)Tong-YueGu,Shi-GuangJu,FeiHan,“AnImprovedPSOAlgorithmEncodingaprioriInformationforNonlinearApproximation”,EmergingIntelligentComputingTechnologyandApplications.WithAspectsofArtificialIntelligence,SpringerBerlin,Heidelberg,LectureNotesinArtificialIntelligience,Volume:5755,2009:223-231(inEnglish)
7)YuCui,Shi-GuangJu,FeiHan,Tong-YueGu,“AnImprovedApproachCombiningRandomPSOwithBPforFeedforwardNeuralNetworks”,ArtificialIntelligenceandComputationalIntelligence,SpringerBerlin,Heidelberg,LectureNotesinComputerScience,Volume:5855,2009:361-368(inEnglish)
8)FeiHan,Tong-YueGu,Qing-HuaLing,“ANewApproachEncodingAPrioriInformationforFunctionApproximation”,2008InternationalConferenceonComputerScienceandSoftwareEngineering,Vol.I,IEEEComputerSocietyPress,pp82-85,2008(inEnglish)
9)FeiHan,“ImprovedLearningAlgorithmsofSLFNforApproximatingPeriodicFunction”,Advancedintelligentcomputingtheoriesandapplications,Proceedings-withaspectsofartificialintelligence,LectureNotesinComputerScience,Volume:5227pp654-660,2008.(inEnglish)
10)FeiHan,Qing-HuaLing“ANewApproachforFunctionApproximationBasedonAdaptiveParticleSwarmOptimization”,Thirdinternationalconferenceonnaturalcomputation,Vol.IV,IEEEComputerSocietyPress,pp501-505,2007(inEnglish)
11)FeiHan,Qing-HuaLing“ANewLearningAlgorithmforFunctionApproximationbyIncorporatingAprioriinformationintoFeedforwardNeuralNetworks”,Thirdinternationalconferenceonnaturalcomputation,Vol.I,IEEEComputerSocietyPress,pp29-33,2007.(inEnglish)
12)FeiHan,Tat-MingLok,MichaelR.Lyu,“Anewlearningalgorithmforfunctionapproximationincorporatingaprioriinformationintoextremelearningmachine,”LectureNotesinComputerScience,Springer-Verlag,3971:631-636,2006.(inEnglish)