刘庆山
　　中文介绍

2013-03-1208:56


通讯地址：南京市东南大学自动化学院邮编：210096
邮箱：qsliu@seu.edu.cn

---

教育背景

• 08/2005–07/2008,哲学博士，香港中文大学，机械与自动化工程学系
  
• 09/2002–03/2005,理学硕士，东南大学，数学系
  
• 09/1997–06/2001,理学学士，安徽师范大学，数学与计算机科学学院
  

---

研究经历

• 05/2012–08/2012,香港中文大学，机械与自动化工程学系，博士后
  
• 02/2012–03/2012,美国德克萨斯A&M大学卡塔尔分校，数学科学系，访问学者
  
• 06/2011–09/2011,香港城市大学，系统工程及工程管理学系，博士后
  
• 02/2010–08/2010,香港中文大学，机械与自动化工程学系，博士后
  
• 08/2009–11/2009,香港城市大学，制造工程及工程管理学系，高级研究员
  

---

荣誉与奖励

• 2012,教育部“新世纪优秀人才支持计划”
  亚太神经网络联合会青年研究者奖
  
• 2011,教育部自然科学奖一等奖（排名第二）
  IEEE计算智能学会神经网络会刊杰出论文奖
  东南大学优秀青年教师教学科研资助计划
  
• 2009,“SCOPUS寻找未来科学之星”信息领域“青年科学之星”奖
• 2006,江苏省优秀硕士学位论文
  东南大学优秀硕士学位论文
• 2005–2008,香港中文大学研究生奖学金
  

---

期刊编委

• 2012–2014,NeuralNetworks,编委
• 2012,CognitiveComputation,BICS2012,客座编委
• 2010,MathematicsandComputersinSimulation,ISNN2010,客座编委

---

研究领域

计算智能理论与应用，模式识别与智能系统，神经网络，非线性系统理论，多智能体优化

---

论文发表期刊论文

• Q.LiuandJ.Wang,“Aone-layerprojectionneuralnetworkfornonsmoothoptimizationsubjecttolinearequalitiesandboundconstraints,”IEEETransactionsonNeuralNetworksandLearningSystems,vol.24,no.5,pp.812–824,May2013.
  
• Q.Liu,C.Dang,andT.Huang,“Aone-layerrecurrentneuralnetworkforreal-timeportfoliooptimizationwithprobabilitycriterion,”IEEETransactionsonCybernetics,vol.43,no.1,pp.14–23,Feb.2013.
  
• Q.Liu,Z.Guo,andJ.Wang,“Aone-layerrecurrentneuralnetworkforconstrainedpseudoconvexoptimizationanditsapplicationfordynamicportfoliooptimization,”NeuralNetworks,vol.26,pp.99–109,Feb.2012.
  
• Z.Guo,Q.Liu,andJ.Wang,“Aone-layerrecurrentneuralnetworkforpseudoconvexoptimizationsubjecttolinearequalityconstraints,”IEEETransactionsonNeuralNetworks,vol.22,pp.1892–1900,Dec.2011.
  
• Q.LiuandJ.Wang,“Aone-layerrecurrentneuralnetworkforconstrainednonsmoothoptimization,”IEEETransactionsonSystems,ManandCybernetics-B,vol.41,pp.1323–1333,Oct.2011.
  
• Q.LiuandJ.Cao,“Globalexponentialstabilityofdiscrete-timerecurrentneuralnetworkforsolvingquadraticprogrammingproblemssubjecttolinearconstraints,”Neurocomputing,vol.74,pp.3494–3501,Oct.2011.
  
• Q.LiuandJ.Wang,“Finite-timeconvergentrecurrentneuralnetworkwithahard-limitingactivationfunctionforconstrainedoptimizationwithpiecewise-linearobjectivefunctions,”IEEETransactionsonNeuralNetworks,vol.22,pp.601–613,Apr.2011.
  
• Q.Liu,C.Dang,andJ.Cao,“Anovelrecurrentneuralnetworkwithoneneuronandfinite-timeconvergencefork-winners-take-alloperation,”IEEETransactionsonNeuralNetworks,vol.21,pp.1140–1148,July2010.
  
• Q.Liu,J.Cao,andG.Chen,“Anovelrecurrentneuralnetworkwithfinite-timeconvergenceforlinearprogramming,”NeuralComputation,vol.22,no.11,pp.2962–2978,2010.
  
• Q.LiuandJ.Cao,“Arecurrentneuralnetworkbasedonprojectionoperatorforextendedgeneralvariationalinequalities,”IEEETransactionsonSystems,ManandCybernetics-B,vol.40,pp.928–938,June2010.
  
• Q.LiuandY.Yang,“Globalexponentialsystemofprojectionneuralnetworksforsystemofgeneralizedvariationalinequalitiesandrelatednonlinearminimaxproblems,”Neurocomputing,vol.73,no.10–12,pp.2069–2076,2010.
  
• Q.LiuandJ.Wang,“Aone-layerrecurrentneuralnetworkwithadiscontinuoushard-limitingactivationfunctionforquadraticprogramming,”IEEETransactionsonNeuralNetworks,vol.19,pp.558–570,Apr.2008.
  OutstandingPaperAward,IEEETransactionsonNeuralNetworks,2011.
  
• Q.LiuandJ.Wang,“Aone-layerrecurrentneuralnetworkwithadiscontinuousactivationfunctionforlinearprogramming,”NeuralComputation,vol.20,no.5,pp.1366–1383,2008.
  
• Q.LiuandJ.Wang,“Twok-winners-take-allnetworkswithdiscontinuousactivationfunctions,”NeuralNetworks,vol.21,no.2-3,pp.406–413,2008.
  
• Q.LiuandJ.Cao,“Improvedglobalexponentialstabilitycriteriaofcellularneuralnetworkswithtime-varyingdelays,”MathematicalandComputerModelling,vol.43,no.3–4,pp.423–432,2006.
  
• Q.Liu,J.Cao,andY.Xia,“Adelayedneuralnetworkforsolvinglinearprojectionequationsanditsanalysis,”IEEETransactionsonNeuralNetworks,vol.16,pp.834–843,July2005.
  
• Q.LiuandJ.Cao,“Globallyprojecteddynamicalsystemanditsapplications,”NeuralInformationProcessing-LettersandReviews,vol.7,no.1,pp.1–9,2005.
  
• Q.LiuandJ.Cao,“Invariantsetandattractorofnonautonomousfunctionaldifferentialsystems:adecompositionapproach,”NonlinearDynamics,vol.37,no.1,pp.19–29,2004.
  

会议论文

• Q.LiuandW.Yang,“Adiscrete-timerecurrentneuralnetworkwithglobalexponentialstabilityforconstrainedlinearvariationalinequalities,”inProc.31stChineseControlConference(CCC2012),(Hefei,China),July25-272012.
  
• Q.LiuandJ.Wang,“Aone-layerdualrecurrentneuralnetworkwithaheavisidestepactivationfunctionforlinearprogrammingwithitslinearassignmentapplication,”inProc.ArtificialNeuralNetworks–ICANN2011,pp.253–260,2011.
  
• Q.LiuandJ.Wang,“Aone-layerrecurrentneuralnetworkforconstrainedsingle-ratiolinearfractionalprogramming,”inProc.IEEEInternationalSymposiumonCircuitsandSystems(ISCAS2011),pp.1089–1092,2011.
  
• Q.LiuandJ.Wang,“Aone-layerdualneuralnetworkwithaunipolarhard-limitingactivationfunctionforshortest-pathrouting,”inProc.ArtificialNeuralNetworks–ICANN2010,pp.498–505,2010.
  
• Q.Liu,J.Cao,andJ.Liang,“Adiscrete-timerecurrentneuralnetworkwithoneneuronfork-winners-take-alloperation,”inProc.6rdInt.SymposiumonNeuralNetworks(ISNN2009),(Wuhan,China),pp.272–278,June2009.
  
• Q.LiuandJ.Wang,“Aone-layerrecurrentneuralnetworkfornon-smoothconvexoptimizationsubjecttolinearequalityconstraints,”inProc.15thInt.ConferenceonNeuralInformationProcessing(ICONIP2008),pp.1003–1010,PartII,SpringerLNCS5507,2009.
  
• Q.LiuandJ.Wang,“Aone-layerrecurrentneuralnetworkforconvexprogramming,”inProc.IEEEInternationalJointConferenceonNeuralNetworks(IJCNN2008),pp.83–90,2008.
  
• Q.LiuandJ.Wang,“Aone-layerrecurrentneuralnetworkwithaunipolarhard-limitingactivationfunctionfork-winners-take-alloperation,”inProc.IEEEInternationalJointConferenceonNeuralNetworks(IJCNN2007),pp.84–89,2007.
  
• Q.LiuandJ.Wang,“Arecurrentneuralnetworkfornon-smoothconvexprogrammingsubjecttolinearequalityandboundconstraints,”inProc.13thInt.ConferenceonNeuralInformationProcessing(ICONIP2006),vol.LNCS4233,pp.1004–1013,Springer,2006.
  
• Q.Liu,J.Wang,andJ.Cao,“AdelayedLagrangiannetworkforsolvingquadraticprogrammingproblemswithequalityconstraints,”inProc.3rdInt.SymposiumonNeuralNetworks(ISNN2006),vol.LNCS3971,pp.369–378,Springer,2006.
  

书章专题

• Q.LiuandJ.Wang,“Recurrentneuralnetworkswithdiscontinuousactivationfunctionsforconvexoptimization,”inIntegrationofSwarmIntelligenceandArtificialNeuralNetwork(S.Dehuri,S.Ghosh,andS.Cho,eds.),vol.78,pp.95–119,WorldScientific,2011.
  

QingshanLiu(PhD,AssociateProfessor)