程建军
政治面貌
职称副教授、硕士生导师
职务
所在系所计算机软件与理论研究所
邮箱chengjianjun@lzu.edu.cn
办公地址飞云楼528

学习经历
　　1994.09-1998.07，西北师范大学，计算机科学系，本科
　　1998.09-2001.07，中国科学院等离子体物理研究所，离子束生物工程实验室，硕士
　　2010.09-2015.12，兰州大学，信息科学与工程学院，博士

工作经历
　　2001.07 — 2004.06 兰州大学 信息科学与工程学院 助教
　　2004.06 — 2020.12 兰州大学 信息科学与工程学院 讲师
　　2021.01 — 至今 兰州大学 信息科学与工程学院 副教授

教学情况
　　主讲本科生课程：程序设计基础、C++程序设计、数据挖掘应用、数据挖掘与与大数据分析
　　主讲研究生课程：数据仓库与数据挖掘

指导研究生情况


研究方向
　　机器学习、数据挖掘、复杂网络分析

招生专业
　　计算机技术、软件工程

项目成果
主持甘肃省自然科学基金项目1项，中央高校基本科研业务费项目2项，主持/参与横向项目多项。


发表论文及专著
发表SCI/EI论文10余篇，近年来主要的SCI/EI论文：
[1] Haijuan Yang, Jianjun Cheng*, Xing Su, Wenbo Zhang, Shiyan Zhao, Xiaoyun Chen*. A spiderweb model for community detection in dynamic networks. Applied Intelligence, 2021. (SCI).
[2] Haijuan Yang, Jianjun Cheng*, Zeyi Yang, Handong Zhang, Wen bo Zhang, Ke Yang, Xiaoyun Chen*. A Node Similarity and Community Link Strength-Based Community Discovery Algorithm. Complexity, Volume 2021, Article ID **. (SCI)
[3] XingSu, Jianjun Cheng*, Haijuan Yang, Mingwei Leng, Wenbo Zhang and Xiaoyun Chen. IncNSA: detecting communities incrementally from time-evolving networks based on node similarity. International Journal of Modern Physics C, Vol. 31, No. 7 (2020) **. (SCI).
[4] Jianjun Cheng, Wenbo Zhang, Haijuan Yang, Xing Su, Tao Ma, Xiaoyun Chen. A Seed-Expanding Method Based on TOPSIS for Community Detection in Complex Networks. Complexity, Volume 2020, Article ID **. (SCI).
[5] Haijuan Yang, Jianjun Cheng*, Mingwei Leng, Xing Su, Wenbo Zhang and Xiaoyun Chen. Detecting communities from networks based on their intrinsic properties. International Journal of Modern Physics C, Vol. 30, No. 12 (2019) **. (SCI).
[6] Jianjun Cheng, Shiyan Zhao, Haijuan Yang, Jingming Zhang, Xing Su and Xiaoyun Chen. Detecting communities from networks using an improved self-organizing map. International Journal of Modern Physics C, Vol. 30, No. 6 (2019) **. (SCI).
[7] Jianjun Cheng, Xing Su, Haijuan Yang, Longjie Li, Jingming Zhang, Shiyan Zhao, and Xiaoyun Chen. Neighbor Similarity Based Agglomerative Method for Community Detection in Networks. Complexity, Volume 2019, Article ID **. (SCI).
[8] Jianjun Cheng, Longjie Li, Haijuan Yang, Qi Li, and Xiaoyun Chen. A Hybrid Spectral Method for Network Community Detection. In: Cai Y., Ishikawa Y., Xu J. (eds) Web and Big Data. APWeb-WAIM 2018. Lecture Notes in Computer Science, vol 10987. Springer, Cham. (APWeb、WAIM均为CCF推荐的C类会议).
[9] Jianjun Cheng, XinhongYin, Qi Li, HaijuanYang, Longjie Li, Mingwei Leng & Xiaoyun Chen. Voting Simulation based Agglomerative Hierarchical Method for Network Community Detection. Scientific Reports, 8, 8064 (2018). (SCI).
[10] Yang Zhou, Jianjun Cheng, Haifei Miao, Wei Liu and Xiaoyun Chen. Using functional dependency and node closure to detect communities from the sparse network, International Journal of Modern Physics B, Vol. 31 (2017) **. (SCI).
[11] Jianjun Cheng, Longjie Li, Mingwei Leng, Weiguo Lu, Yukai Yao and Xiaoyun Chen. A divisive spectral method for network community detection, Journal of Statistical Mechanics: Theory and Experiment, 2016, 033403. (SCI).
[12] Jianjun Cheng, Mingwei Leng, Longjie Li, Hanhai Zhou, Xiaoyun Chen. Active Semi-Supervised Community Detection Based on Must-Link and Cannot-Link Constraints. PLOS ONE 9(10): e110088, 2014. (SCI).


对外合作


荣誉获奖


社会工作


其他信息