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  • 肖乐意
  1. 学  院:计算机科学与技术学院
  2. 学历职称:博士/副教授
  3. 导师类型:硕/博士生导师
  4. 联系方式:xiaolyttkx@hainanu.edu.cn
个人简介 科研项目 发表论文 获奖情况 专利著作

[1]Chaodong Fan , Zhenhuan Zeng ,Leyi Xiao, et al. GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features[J].Pattern Recognition2022, https://doi.org/10.1016/j.patcog.2022.108963

[2]Leyi Xiao, Chaodong Fan, Honglin Ouyang, et al.Adaptive trapezoid region intercept histogram based Otsu method for brain MR image segmentation[J].Journal of Ambient Intelligence and Humanized Computing,2022,13:2161-2176

[3] LeyiXiao,HonglinOuyang,ChaodongFan,etal.GestureimagesegmentationwithOtsusmethodbasedonnoise adaptiveanglethreshold[J].MultimediaToolsandApplications.2020, Vol.79(47):35619-35640.

[4] LeyiXiao,HanQi,ChaodongFan,ChaoyangAi.Energynoisedetectionfcmforbreasttumorimagesegmentation[J].IEEEaccess,2020,Vol.8:62895-62904.

[5] LeyiXiao,HonglinOuyang,ChaodongFan.Otsusthresholdingmethodbasedonplaneintercepthistogramandgeometricanalysis[J].InternationalArabJournalofInformationTechnology,2020,Vol.17(5):692-701.

[6] LeyiXiao,HonglinOuyang,ChaodongFan.AnimprovedOtsumethodforthresholdsegmentationbasedonset mappingandtrapezoidregionintercepthistogram[J].Optik,2019,Vol.196(3):1-17.

[7]肖乐,红林,.动理算法面投Otsu[J].电息学,2018, Vol.40(1):189-199.

[8]Chaodong Fan,Yuetang Wu,Hongbo Hu,Leyi Xiao*,et al.A Two-Stage CooperativeMulti-objective Evolutionary DifferentialAlgorithm for Combined Heat and Power Economic Emission Dispatch[J].Arabian Journal for Science and Engineering (2023) 48:5889–5906.

[9]ChaodongFan,Yunfan Li,Lingzhi Yi,Leyi Xiao*, et al. Multi-objectiveLSTMensemblemodel for household short-term loadforecasting[J]. Memetic Computing(2022)14:115-132.

[10]Chaodong Fan, Jiawei Wang,Leyi Xiao*, et al. A coevolution algorithm based on two-staged strategy for constrained multi-objective problems [J]. Applied Intelligence, 2022,https://doi.org/10.1007/s10489-022-03421-7.

[11]Chaodong Fan, Changkun Ding,Leyi Xiao*,et al. Deep belief ensemble network based on MOEA/D for short-term load forecasting.[J]. Nonlinear Dynamics, 2021, Vol. 105, 2045-2430.

[12]Chaodong Fan, Changkun Ding, Jinhua Zheng,Leyi Xiao*,et al. Empirical mode decomposition based multi-objective deep belief network for short-term power load forecasting [J]. Neurocomputing, 2020, Vol. 338(C): 110-123.

[13]Chaodong Fan, Bo Hou, Jinhua Zheng,Leyi Xiao*,Lingzhi Yi. A surrogate-assisted particle swarm optimization using ensemble learning for expensive problems with small sample datasets [J]. Applied Soft Computing, 2020, Vol. 91:106242.

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