教育经历：

2010年-2014年中国农业大学获博士学位

1.机器学习与数据挖掘 2.最优化理论与算法

[1]TingKe,JunyanTan,BingYang,LiYi,LingJing.ANovelGraph-basedApproachforTransductivePositiveandUnlabeledLearning.Journalofcomputationalinformationsystems,2014,10(4):1439-1447. [2]TingKe,LujiaSong,BingYang,XinbinZhao,LingJing.ABiasedLeastSquaresSupportVectorMachineClassifierforPositiveandUnlabeledLearning.Journalofsoftware.2014,9(6):1494-1502. [3]ZhiqiangZhang,TingKe，NaiyangDeng，JunyanTan.Biasedp-normSupportVectorMachineforPULearning.Neurocomputing,2014,1-6. [4]TingKe,BingYang,LingZhen,JunyanTan,YiLi,LingJing.BuildingHigh-performanceClassifiersonPositiveandUnlabeledExamplesforTextClassification.AdvancesinNeuralNetworks–ISNN2012，LectureNotesinComputerScienceVolume7368,2012,187-195. [5]JingjingQiang，TingKe，BingYang，LingJing.BuildingSVMClassifierBasedonPosteriorProbabilityUsingPositiveandUnlabeledExamples.InternationalJournalofDigitalContentTechnologyanditsApplications,2012,6(23),289-297.