师资队伍

汤健

电话:

E-mail:freeflytang@bjut.edu.cn,tjian001@126.com。

通讯地址:

1.TianzhangWang,JianTang,LoaiAljerf,JunfeiQiao,MuaazAlajlani.EmissionReductionOptimizationofMultipleFlueGasPollutantsinMunicipalSolidWasteIncinerationPowerPlant[J],Fuel,2024,381,PartA,133382.

2.HengXia,JianTang,XiaotongPan,WenYu,andJunfeiQiao.MultimodalData-DrivenInterpretableDeepModelingApproachofDioxinsGenerationforMunicipalSolidWasteIncinerationProcesses[J].IEEETransactionsonInstrumentationandMeasurement,vol.73,,2024,2534618.

3.HengXia,JianTang,LoaiAljerf,TianzhengWang,BingyinGao,MuaazAlajlani.AI-basedTreeModelingforMulti-pointDioxinConcentrationsinMunicipalSolidWasteIncineration[J].JournalofHazardousMaterials,Availableonline15September2024,135834.

4.HengXia,JianTang,LoaiAljerf,JiakunChen,Unveilingdioxindynamics:Awhole-processsimulationstudyofmunicipalsolidwasteincineration,ScienceofTheTotalEnvironment,2024,954,176241.

5.HaoTian,JianTang,TianzhengWang.FurnaceTemperatureModelPredictiveControlBasedonParticleSwarmRollingOptimizationforMunicipalSolidWasteIncineration[J].Sustainability,2024,16(17),7670.

6.JianTang,HaoTian,TianzhengWang.AReviewofModelPredictiveControlforMunicipalSolidWasteIncinerationProcess[J].Sustainability2024,16(17),7650.

7.TianzhengWang;JianTang;HengXia;CuiliYang;WenYu;JunfeiQiao.Data-drivenMulti-objectiveOptimalControlofMunicipalSolidWasteIncinerationProcess[J].EngineeringApplicationsofArtificialIntelligence,2024,137,PartA,109157.

8.HaoTian,JianTang,HengXia,WenYu,JunfeiQiao.BayesianOptimization-basedIntervalType-2FuzzyNeuralNetworkforFurnaceTemperatureControl[J].IEEETransactionsonIndustrialInformatics,2024,doi:10.1109/TII.2024.3453383.20240810.

9.TianZhengWang,JianTang,HengXia,LoaiAljerf,RunyuZhang,HaoTian,MulugetaLegesseAkele.Intelligentoptimalcontroloffurnacetemperatureforthemunicipalsolidwasteincinerationprocessusingmulti-loopcontrollerandPSOoptimization[J].ExpertSystemsWithApplications,2024,257,125015.

10.WenXu,JianTang,HengXia,WenYu,JunfeiQiao.SoftsensorofdioxinemissionconcentrationinMSWIprocessbasedonsemi-supervisedrandomforestoptimizedbymulti-objectiveparticleswarmoptimization.EngineeringApplicationsofArtificialIntelligence,2024,135,108772.

11.JianTang,TianzhengWang,HengXia,CanlinCui.AnOverviewofArtificialIntelligenceApplicationforOptimalControlofMunicipalSolidWasteIncinerationProcess[J].Sustainability,2024,16(5),2042.

12.RunyuZhang;JianTang;HengXia;JiakunChen;WenYu;JunfeiQiao.HeterogeneousensemblepredictionmodelofCOemissionconcentrationinmunicipalsolidwasteincinerationprocessusingvirtualdataandrealdatahybrid-driven.JournalofCleanerProduction,2024,445,141313.

13.HengXia,JianTang,WenYu,JunfeiQiao.Hybridsimulator-basedmechanismanddata-drivenformulti-demanddioxinemissionsintelligentpredictionintheMSWIprocess[J].IEEETransactionsonIndustrialElectronics,2024,doi:10.1109/TIE.2024.3357896.

14.XiaotongPan,JianTang,HengXia,TianzhengWang.OnlineCombustionStatusRecognitionofMunicipalSolidWasteIncinerationProcessUsingDFCbasedonConvolutionalMulti-LayerFeatureFusion[J].Sustainability2023,15,16473.

15.RunyuZhang,JianTang,HengXia,XiaotongPan,WenYu,JunfeiQiao.COemissionpredictionofmunicipalsolidwasteincinerationprocessbasedonreduceddepthfeaturesandlongshort-termmemoryoptimization[J],NeuralComputingandApplications,2024,https://doi.org/10.1007/s00521-023-09329-8.

16.JiankunChen,JianTang,HengXia,TianzhengWang,BingyinGao.Non-manipulatedvariablesensitivityanalysisofsolidphasecombustioninMSWIprocessfurnacebasedondoubleorthogonalnumericalsimulationexperiment[J].Sustainability,2023,15,14159.

17.ChaofanXu,JianTang,HengXia,WenYu,JunfeiQiao.DioxinEmissionConcentrationPredictionusingtheSelectiveEnsembleAlgorithmbasedonBayesianInferenceandBinaryTree[J].IEEETransactionsonInstrumentation&Measurement.2023,72,1-14,Artno.2528514.

18.CanlinCui,JianTang,HengXia,WenYu,JunfeiQiao.Multi-scaleModelingUsingGANandDeepForestRegressionwithApplicationtoDioxinEmissionSoftSensor[J].IEEETransactionsonInstrumentation&Measurement,2023,DOI:10.1109/TIM.2023.3309389.

19.YongqiLiang,JianTang,HengXia,LoaiAljerf,BingyinGao,MulugetaLegesseAkel.Three-dimensionalnumericalmodelingandanalysisofgratefurnacemunicipalsolidwasteincinerationforparticulatemattergeneration[J].Sustainability,2023,15(16):12337.

20.XiaotongPan,JianTang,HengXia,WenYu,JunfeiQiao.CombustionStateIdentificationofMSWIProcessesUsingViT-IDFC[J].EngineeringApplicationsofArtificialIntelligence,2023,126(B),106893.

21.JianTang,JiabinZhuang,LoaiAljerf,HengXia,TianzhangWang,BingyinGao.Numericalsimulationmodellingonwholemunicipalsolidwasteincinerationprocessbycouplingmultiplesoftwarefortheanalysisofgratespeedandairvolumeratio[J].ProcessSafetyandEnvironmentalProtection,2023,176:506-527.

22.HengXia,JianTang,LoaiAljerf,CanlinCui,BingyinGao,PrinceOnyedinmaUkaogo.DioxinemissionmodelingusingfeatureselectionandsimplifiedDFRwithresidualerrorfittingforthegrate-basedMSWIprocess[J].WasteManagement,2023,168,256-271.

23.JiakunChen;JianTang;HengXia;WenYu;JunfeiQiao.Furnacetemperaturefieldmodelingofmunicipalsolidwasteincineratorusingnumericalsimulationanddeepforestregressionalgorithm[J].Fuel,2023,347:128511.

24.HengXia,JianTang,LoaiAljerf,TianzhengWang,BingyinGao,QindongXu,QiangWang,PrinceUkaogo.ContinuityinvestigationofthePCDD/Fsformationandemissioncharacteristicsatamunicipalsolidwasteincineratorforoneyear[J].ScienceoftheTotalEnvironment,2023,883:163705.

25.HengXia,JianTang,WenYu,JunfeiQiao.Onlinemeasurementofdioxinemissioninsolidwasteincinerationusingfuzzybroadlearning[J].IEEETransactionsonIndustrialInformatics,2023,DOI:10.1109/TII.2023.3259419.

26.HaixuDing,JianTang,JunfeiQiao.Dynamicmodelingofmulti-inputandmulti-outputcontrolledobjectformunicipalsolidwasteincinerationprocess[J].AppliedEnergy,2023,339,120982.

27.HengXia,JianTang,LoaiAljerf,TianzhengWang,JunfeiQiao,QindongXu,QiangWang,PrinceUkaogo.InvestigationonDioxinsEmissionCharacteristicduringCompleteMaintenanceOperatingPeriodofMunicipalSolidWasteIncineration[J],EnvironmentalPollution,2023,318:120949.

28.CanlinCui,JianTang,HengXia,JunfeiQiao,WenYu.Virtualsamplegenerationmethodbasedongenerativeadversarialfuzzyneuralnetwork[J].NeuralComputingandApplications,DOI:10.1007/s00521-022-08104-5.

29.HengXia,JianTang,WenYu,CanlinCui,JunfeiQiao.Takagi–SugenoFuzzyRegressionTreeswithApplicationtoComplexIndustrialModeling[J].IEEETransactionsonFuzzySystems,2022,DOI:10.1109/TFUZZ.2022.3221790.

30.HengXia,JianTang,WenYu,JunfeiQiao.TreeBroadLearningSystemforSmallDataModeling[J].IEEETransactionsonNeuralNetworksandLearningSystems,2022,DOI:10.1109/TNNLS.2022.3216788.

31.ZhuoLiu,TianyouChai,JianTang,WenYu.Heterogeneousselectiveensemblelearningformillloadparametersestimationusingmulti-scalemechanicalfrequencyspectrum[J].SoftComputing,Published,11October2022,https://journal.bjut.edu.cn/bjgydxxb/index.htm.

32.HaixuDing,JianTang,JunfeiQiao.MIMOmodelingandmulti-loopcontrolbasedonneuralnetworkformunicipalsolidwasteincineration[J].ControlEngineeringPractice,2022,127,105280.

33.JianTang,HengXia,LoaiAljerf,DandanWang,PrinceOnyedinmaUkaogo.Predictionofdioxinemissionfrommunicipalsolidwasteincinerationbasedonexpansion,interpolation,andselectionforsmallsamples[J].JournalofEnvironmentalChemicalEngineering,2022,10:108314.

34.JiabinZhuang,JianTang,LoaiAljerf.Comprehensivereviewonthemechanismanalysisandthenumericalsimulationofmunicipalsolidwasteincinerationprocessbasedonmechanicalgrate[J].Fuel,2022,320:123826.

35.HengXia,JianTang,LoaiAljerf.Dioxinemissionpredictionbasedonimproveddeepforestregressionformunicipalsolidwasteincinerationprocess[J].Chemosphere,2022,294,133716.

36.JianTang,HengXia,JunfeiQiao,JianZhang,WenYu.DFclassificationalgorithmforconstructingasmallsamplesizeofdata-orientedDFregressionmodel[J].NeuralComputingandApplications[J],2022,34,2785–2810.

37.JianTang,HengXia,JianZhang,JunfeiQiao,WenYu.DeepForestRegressionbasedonCross-LayerFullConnection[J].NeuralComputingandApplications,NeuralComputingandApplications,2021,33(15):9307-9328.

38.JianTang,GaoweiYan,ZhuoLiu,YefengLiu,GangYu,NingSheng.Experimentalanalysisofwetmillloadparameterbasedonmultiplechannelsmechanicalsignalundermultiplegrindingconditions[J].MineralsEngineering,2020,159,106609.

39.JianTang,JunfeiQiao,ZhuoLiu,NingSheng,WenYu,GangYu.Dual-layeroptimizedselectiveinformationfusionusingmulti-sourcemulti-componentmechanicalsignalsformillloadparametersforecasting[J].MechanicalSystemsandSignalProcessing,2020,135,106371.

40.JianTang,JunfeiQiao,ZhuoLiu,XiaojieZhou,GangYu,JianjunZhao.Optimizedensemblemodelingbasedonfeatureselectionusingsimplespherecriterionformulti-scalemechanicalfrequencyspectrum[J].SoftComputing,2019,23(16):7263-7278.

41.JianTang,JunfeiQiao,JianZhang,ZhiweiWu,TianyouChai,WenYu.Combinatorialoptimizationofinputfeaturesandlearningparametersfordecorrelatedneuralnetworkensemble-basedsoftmeasuringmodel[J].Neurocomputing,2018,275:1426-1440..

42.JianTang,JunfeiQiao,ZhiWeiWu,TianyouChai,JianZhang,WenYu.Vibrationandacousticfrequencyspectraforindustrialprocessmodelingusingselectivefusionmulti-conditionsamplesandmulti-sourcefeatures[J].MechanicalSystemsandSignalProcessing,2018,99:142-168.

43.JianTang,Zhuoliu,JianZhang,ZhiweiWu,TianyouChai,WenYu.Kernellatentfeatureadaptiveextractionandselectionmethodformulti-componentnon-stationarysignalofindustrialmechanicaldevice[J],Neurocomputing,2016,216(C):296-309.

44.JianTang,JianZhang,ZhiweiWu,ZhuoLiu,TianyouChai,WenYu.Modelingcollineardatausingdouble-layerGA-basedselectiveensemblekernelpartialleastsquaresalgorithm[J],Neurocomputing,2017,219:248-262.

45.JianTang,WenYu,TianyouChai,ZhuoLiu,Selectiveensemblemodelingloadparametersofballmillbasedonmulti-scalefrequencyspectrumfeatureselectionusingspherecriterion[J],MechanicalSystemsandSignalProcessing,2016,66-67:485-504.

46.JianTang,TianyouChai,WenYu,ZhuoLiu,XiaojieZhou.AComparativestudythatmeasuresballmillloadparametersthroughdifferentsingle-scaleandmulti-scalefrequencyspectra-basedapproaches[J],IEEETransactionsonIndustrialInformatics,2016,12(6):2008-2019.

47.JianTang,TianyouChai,ZhuoLiu,WenYu,Selectiveensemblemodelingbasedonnonlinearfrequencyspectralfeatureextractionforpredictingloadparameterinballmills[J],ChineseJournalofChemicalEngineering,2015,23(12):2020-2028.

48.JianTang,TianyouChai,WenYu,LijieZhao,Modelingloadparametersofballmillingrindingprocessbasedonselectiveensemblemultisensorinformation[J],IEEETransactiononAutomationScienceandEngineering,2013,10(3):726-740.

49.JianTang,TianyouChai,WenYu,LijieZhao,Featureextractionandselectionbasedonvibrationspectrumwithapplicationtoestimatetheloadparametersofballmillingrindingprocess,ControlEngineeringPractice[J],2012,20(10):991-1004.

50.JianTang,TianyouChai,LijieZhao,WenYu,HengYue,Softsensorforparametersofmillloadbasedonmulti-spectralsegmentsPLSsub-modelsandon-lineadaptiveweightedfusionalgorithm[J],Neurocomputing,2012,78(1):38-47.

51.JianTang,WenYu,TianyouChai,LijieZhao,On-lineprincipalcomponentanalysiswithapplicationtoprocessmodeling[J],Neurocomputing,2012,82(1):167-178.

52.JianTang,LijieZhao,JunwuZhou,HengYue,TianyouChai.Experimentalanalysisofwetmillloadbasedonvibrationsignalsoflaboratory-scaleballmillshell[J].MineralsEngineering,2010,23(9):720-730.

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