孟军

基本信息Personal Information

教授

博士生导师

硕士生导师

主要任职:无

性别:女

毕业院校:大连理工大学

学位:博士

在职信息:在职

所在单位:计算机科学与技术学院

学科:计算机应用技术 计算机软件与理论

办公地点:创新园大厦A0816

联系方式:13610913221

电子邮箱:

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个人简介Personal Profile

  孟军,工学博士,大连理工大学计算机学院,教授,博士生导师。分别于1986年和1989年在吉林工业大学(现吉林大学)获计算机应用技术学士和硕士学位,于2012年在大连理工大学获计算机应用技术博士学位;2010年在美国圣何塞州立大学计算机科学系做访问学者1年。主要从事数据挖掘和机器学习算法及其在生物信息领域的应用方面的研究。主持和参与了国家自然科学基金、国家重大专项、教育部专项和省级自然基金等项目十余项,其中主持的辽宁省自然科学基金项目《相容粒计算分类知识发现及其应用研究》(2013-2015)已完成,主持的国家自然科学基金面上项目《基于植物胁迫响应基因表达数据和GO术语结合的特征选择及调控网络研究》已完成,《基于集成深度学习的植物lncRNA与miRNA互作关系预测研究》正在进行中。研究成果发表在Bioinformatics (IF 4.531),Cells(IF 5.656),Applied Soft Computing(IF 4.874),Neurocomputing(IF 4.072)等国际期刊和计算机研究与发展等国内核心期刊上。曾多次获辽宁省和大连市自然科学学术成果二等奖。已培养硕士研究生40余人(包括留学生2人),其中,2人获校优秀研究生,4人获优秀硕士学位论文。
  主讲本科生《人工智能》、《程序设计基础》、《工程计算(国际班)》和国际硕士生《面向对象编程技术(全英文授课)》等课程,获得校教学质量优良奖10余次。主持校本科生和硕士生教学改革和研究项目多项,并获省级和校级教学成果奖。主编教材4部。指导大学生创新计划项目20余项,其中,国家级4项,省级1项。

代表性论文:

1. Kang Qiang, Meng Jun*, Cui Jun, Luan Yushi*, Chen Ming. PmliPred: a method based on hybrid model and fuzzy decision for plant miRNA-lncRNA interaction prediction. Bioinformatics, 2020.

2. Zhang Peng, Meng Jun*, Luan Yushi, Liu Chanjuan. Plant miRNA-lncRNA Interaction Prediction Prediction with the Ensemble of CNN and IndRNN. Interdisciplinary Sciences: Computational Life Sciences, 2020, 12: 82–89.

3. Wekesa Jael Sanyanda, Luan Yushi, Chen Ming, Meng Jun*. A Hybrid Prediction Method for Plant lncRNA-Protein Interaction. Cells, 2019, 8(6): 521.

4. Ismalia Bouba, Kang Qiang, Luan Yushi, Meng Jun*. Predicting miRNA-lncRNA interactions and recognizing their regulatory roles in stress response of plants. Mathematical Biosciences, 2019, 312(6): 67-76.

5. Meng Jun, Chang Zheng, Zhang Peng, Shi Wenhao, Luan Yushi*. lncRNA-LSTM: Prediction of Plant Long Non-coding RNAs Using Long Short-Term Memory Based on p-nts Encoding. International Conference on Intelligent Computing, 2019, 11645:347-357.

6. Zhou Haoran, Luan Yushi, Wekesa Jael Sanyanda, Meng Jun*. Prediction of Plant lncRNA-Protein Interactions Using Sequence Information Based on Deep Learning. International Conference on Intelligent Computing, 2019, 11645: 358-368. 

7.Meng Jun, Shi Guanli, Luan Yushi. Plant miRNA function prediction based on functional similarity network and transductive multi-label classification algorithm, Neurocomputing, 2016, 179:283-289.

8.Meng Jun, Zhang Jing, Li Rui, Luan Yushi. Gene selection using rough set based on neighborhood for the analysis of plant stress response, Applied Soft Computing, 2014, 25(1): 51-63. 

9.Meng Jun, Liu Dong, Luan Yushi. Inferring plant microRNA functional similarity using a weighted protein-protein interaction network, BMC Bioinformatics, 2015, 16:360.

10. Meng Jun, Zhang Jing, Luan Yushi. Gene Selection Integrated with Biological Knowledge for Plant Stress Response Using Neighborhood System and Rough Set Theory, IEEE-ACM Transactions on Computational Biology and Bioinformatics, 2015, 12(2):433-444.

11.Meng Jun, Hao Han, Luan Yushi. Classifier ensemble selection based on affinity propagation clustering, Journal of Biomedical Informatics, 2016, 60:234-242.

12.Meng Jun, Zhang Jing, Luan Yush, He Xinyu, Li Lishuang, Zhu Yuanfeng. Parallel gene selection and dynamic ensemble pruning based on Affinity Propagation, Computers in Biology and Medicine, 2017, 87:8-21.

13. Meng Jun, Jiang Dingling, Zhang Jing, Luan Yushi. Ensemble classification for gene expression data based on parallel clustering, International Journal of Data Mining and Bioinformatics, 2018, 20(3):213-229. 

14. Meng Jun, Wekesa Jaelsanyanda, Shi Guanli, Luan Yushi. Protein function prediction based on data fusion and functional interrelationship, Mathematical Biosciences, 2016, 27425-32.

15.Meng Jun, Liu Dong, Sun Chao, Luan Yushi. Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine, BMC Bioinformatics, 2014, 15:423.

16.Meng Jun, Li Rui, Luan Yushi. Classification by integrating plant stress response gene expression data with biological knowledge, Mathematical Biosciences, 2015, 266:65-72. 

17.Meng Jun, Zhang Xin, Luan Yushi. Global Propagation Method for Predicting Protein Function by Integrating Multiple Data Sources, Current Bioinformatics,2016,11(2) :186-194. 

18.石文浩, 孟军*, 张朋, 刘婵娟. 融合CNNBi-LSTMmiRNA-lncRNA互作关系预测模型. 计算机研究与发展, 2019, 56(8):1652-1660.

19.孟军, 张晶, 姜丁菱, 何馨宇, 李丽双. 结合近邻传播聚类的选择性集成分类方法, 计算机研究与发展, 2018, 55(5) :986-993.

20.常征, 孟军, 施云生, 莫冯然. 多特征融合的lncRNA识别与其功能预测, 智能系统学报, 2018, 13(6):928-934.

  • 教育经历Education Background
  • 工作经历Work Experience
  • 研究方向Research Focus
  • 社会兼职Social Affiliations
  • 大数据分析处理
  • 机器学习与数据挖掘