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[1]xupingfeng,(SCI博)A new algorithm for decomposition of graphical models.Acta Mathematicae Applicatae Sinica, English,2012:2
[2]xupingfeng,（SCI博）An improved Hara-Takamura procedure by sharing computations on junction tree in Gaussian graphical models.Statistics and computing,2012:1
[3]xupingfeng,郑倩贞,Cao Lei,曹蕾.【核心通讯】基于GEMS算法的潜变量高斯图模型结构学习.东北师范大学学报（自然科学版）,2021:2
[4]xupingfeng,(SCI博)Structural learning for Bayesian networks by testing complete separators in prime blocks.Computational Statistics & Data Analysis,2011:1
[5]xupingfeng,(SCI博)An improved iterative proportional scaling procedure for Gaussian graphical models.Journal of Computational and Graphical Statistics,2011:1
[6]xupingfeng,王福友,邓文礼,马文卿,dongxiaogang.【核心】基于图分解的最优三角化图及连接树的构建.应用数学学报,2017,40(4):3
[7]xupingfeng,孙聚波.[省级]n元圈图模型迭代比例拟合算法中的最优分划.长春工业大学学报,2015:3
[8]xupingfeng,孙聚波,徐平峰.【省级】基于E-MS算法的含缺失数据图模型选择的模拟研究.佳木斯大学学报,2015:3
[9]xupingfeng,王立雪,孙聚波,徐平峰.【省级】蒙特卡罗方法及其方差缩减技术比较分析.长春工业大学学报,2015:3
[10]xupingfeng,郭建华,Tang Manlai.[SCI]A Localized Implementation of the Iterative Proportional Scaling Procedure for Gaussian Graphical Models.Journal of Computational and Graphical Statistics,2015,24(1):1
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