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母亚双
发布日期:2020-06-30 浏览次数:

母亚双,男,1987.04月生,博士,副教授,硕士生导师。

电子邮箱:muyashuang324@126.com.

研究方向:分布式计算、机器学习、大数据分析与处理.

教育经历:

2006.09-2010.06,周口师范学院,数学与应用数学专业,学士;

2010.09-2012.06,大连海事大学,运筹学与控制论专业,硕士;

2012.07-2015.08,TCL通讯(上海)研发中心,穿戴设备研发工程;

2015.09-2018.12,大连理工大学,控制理论与控制工程专业,博士;

2019.01-今,河南工业大学,人工智能与大数据学院,讲师。

 

代表性教科研学术成果:

论文

1.Yashuang Mu*, Lidong Wang and Xiaodong Liu, Dynamic programming based fuzzy partition in fuzzy decision tree induction, Journal of Intelligent & Fuzzy Systems, 2020, 39(5) :6757-6772.

2.Yashuang Mu*, Xiaodong Liu,Lidong Wang and Juxiang Zhou, A parallel fuzzy rule-base based decision tree in the framework of map-reduce, Pattern Recognition, 2020, 103:107326.

3. Yashuang Mu*, Ruijun Zhang, Lidong Wang and Xiaodong Liu, iPseU-Layer: identifying RNA pseudouridine sites using layered ensemble model, Interdisciplinary Sciences: Computational Life Sciences, 2020, DOI: 10.1007/s12539-020-00362-y.

4. Yashuang Mu*,Xiaodong Liu, Lidong Wang and Aamer Bilal Asghar, A parallel tree node splitting criterion for fuzzy decision trees, Concurrency and Computation: Practice and Experience, 2019, 31(17):1-17.

5. Yashuang Mu, Xiaodong Liu* and Lidong Wang. A Pearson's correlation coefficient based decision tree and its parallel implementation, Information Sciences, 2018, 435:40-58.

6. Yashuang Mu, Lidong Wang and Xiaodong Liu*, A fast rank mutual information based decision tree and its implementation via map-reduce, Concurrency and Computation: Practice and Experience, 2018, 30(10):1-22.

7.Yashuang Mu, Xiaodong Liu, Zhihao Yang and Xiaolin Liu*, A parallel C4.5 decision tree algorithm based on MapReduce, Concurrency and Computation: Practice and Experience, 2017, 29(8):1-12.

 

专利:

1.母亚双, 王利东,刘晓东, 基于模糊 C 均值的分布式集成聚类分析方法(申请号:201910981453.X)

2.母亚双, 孙丽君,郭红月,王利东,刘晓东,一种基于动态规划的模糊集自动划分方法(申请号:202010638635.X)

获奖:

1.无

著作:

1.

项目:

1.国家自然科学基金青年项目,62006071,基于信息粒的分布式树形分层分类算法研究,2021.01.01-2023.12.31,24万,在研,主持,国家级.

2.河南省科技攻关项目,212102210149,基于信息粒的分布式机器学习算法研究,2021.01.01-2022.12.31,10万,在研,主持,省部级.

3.粮食信息处理与控制教育部重点实验室开放课题,KFJJ-2020-112,基于分布式的混杂不确定粮食数据模糊分析方法,2020.07.01-2022.06.30,3万,在研,主持,地厅级.

4.河南工业大学,21420161,青年骨干教师培育计划,3万,2021.7-2023.8,在研,主持,校级.

5.河南工业大学博士启动基金,31401204,基于集成模型的蛋白质泛素化修饰位点预测,3万,2019.7-2022.6,在研,主持,校级.

教学成果:

1.