Jiadong Ren is a professor in the school of Information Science and Engineering, Yanshan University, China. He received his BSc and MSc degrees from Northeastern Institute of heavy machinery in 1989 and 1994. And he got his PHD degree from department of computer science, Harbin Institute of Technology in 1999. His research interests include data mining, temporal data modeling and software security. His research has been supported by National Natural Science Foundation of China and Science Foundation of Hebei Province. He is a senior member of the Chinese Computer Society, member of IEEE SMC Society and ACM.

Email: jdren@ysu.edu.cn  Tel: 0335-8051850

Research area:

(1)  Data mining

(2)  Temporal data modeling

(3)  Software security 

International education experience:

(1)  2017/01/16 ~ 2017/02/20   As a senior researcher in Department of Computer Science in University of Hull, UK.

(2)  2008/10/10 ~ 2011/10/10 Doing post-doctoral research in School of Computer Science, Beijing Institute of Technology, China.

(3)  2004/02/12 ~ 2004/12/06 As a visiting Scholar in Department of Computer Science in University of Zurich, Switzerland

Research Project items:

(1)  National Natural Science Foundation of China，61572420，Research on multi-level entity mining method and key technology for software system based on complex network，2016/01-2019/12，Leader.

(2)  Project of university talent training program for innovation team of Hebei Province，LJRC002，Cloud computing for big data analysis，2014/01-2016/12，Leader.

(3)  National Natural Science Foundation of Hebei Province，F2014203152，Research on sequence analysis method based on directed graph in software vulnerability detection，2014/01-2016/12，Leader.

(4)  National Natural Science Foundation of China，61170190，Modeling and analysis of software security characteristics based on Data Mining，2012/01-2015/12，Leader.

Engineering items:

(1)  2015/11/30~2016/07/31 Research on Port production data analysis and visualization application based on OLAP，Fund: 165 thousand.

(2)  2013/03/01~2013/12/31 Research on customer value analysis management system，Fund: 165 thousand.

(3)  2013/03/01~2013/12/31 Construction of port coal logistics structure system based on Data Mining，Fund: 186 thousand.

(4)  2011/01/01~2013/12/01 Research on the existence of digital publishing，Fund: 186 thousand.

(5)  2010/10/01~2011/10/01 Analysis framework design of port enterprise information exchange platform，Fund: 160 thousand.

(6)  2010/10/01~2011/10/08 Application Research of data mining in port business management，Fund: 120 thousand. 

Publications:

(1)  Ren Jiadong, Zhangqi Z, Liu Q, Wei Z, Yan H. A buffer overflow prediction approach based on Software metrics and Machine learning [J]. Security and Communication Networks, 2019: 8391425.(CCF C)

(2)  Wang Qian, Shan Chun, Zhao Xiaolin, Dong Jun, Ren Jiadong, Liu Jiaxin, A Novel algorithm for identifying key function nodes in software network based on evidence theory, Int'l Journal of Software Engineering and Knowledge Engineering, 2019, 29(3): 415-432.(CCF C)

(3)  Wang Qian, Ren Jiadong, Wang Yu, Zhang Bing, Cheng Yongqiang, Zhao Xiaolin, CDA: A Clustering Degree Based Influential Spreader Identification Algorithm in Weighted Complex Network, IEEE ACCESS, 2018, 6: 19550-19559.(JCR2 SCI, IF:3.557)

(4)  Qian Wang, Jiadong Ren,Xiaoli Yang, Yongqiang Cheng, Darryl N Davis, Changzhen Hu, Security feature measurement for frequent dynamic execution paths in software system, Security and Communication Networks, 2018, 11: 1-10. (CCF C)

(5)  Bing Zhang, Jiadong Ren, Yongqiang Cheng, Bing Wang, Zhiyao Wei. Health Data Driven on Continuous Blood Pressure Prediction based on Gradient Boosting Decision Tree Algorithm [J]. IEEE Access, 2019, 7(1): 32423-32433. (JCR2 SCI, IF:3.557)

(6)  Bing Zhang, Huihui Ren, Guoyan Huang, Yongqiang Cheng, Changzhen Hu. Predicting blood pressure from physiological index data using the SVR algorithm [J]. BMC Bioinformatics, 2019, 20(1): 109. (CCF C, SCI，IF:2.213 )

(7) Bing Zhang, Guoyan Huang, Zhangqi Zheng, Jiadong Ren, Changzhen Hu. Approach to mine the Modularity of Software Network Based on the Most Vital Nodes[J]. IEEE Access, 2018,6: 32543 - 32553. (JCR2 SCI, IF:3.557)

(8)  Zhang, B., Wei, Z., Ren, J., Chen, Y, Zheng, Z. An Empirical Study on Predicting Blood Pressure using Classification and Regression Tree. IEEE Access, 2018. (JCR2 SCI, IF:3.557)

(9)  Zhang, B., Huang, G., Wang, Y., He, H., & Ren, J. (2017). Mining dynamic noteworthy functions in software execution sequences. Plos One, 12(3). doi: 10.1371/journal.pone.0173244

(10)Zhang, B., Huang, G., He, H., & Ren, J. (2017). Approach to mine influential functions based on software execution sequence. Iet Software, 11(2), 48-54. doi: 10.1049/iet-sen.2016.0081 (CCF B)

(12)Wu, D., Ren, J., & Sheng, L. (2017). Representative points clustering algorithm based on density factor and relevant degree. International Journal Of Machine Learning And Cybernetics, 8(2), 641-649. doi: 10.1007/s13042-015-0451-5

(13)Wu, D., & Ren, J. (2017). Sequence clustering algorithm based on weighted vector identification. International Journal Of Machine Learning And Cybernetics, 8(3), 731-738. doi: 10.1007/s13042-015-0381-2

(14)Wang, Q., Davis, D. N., & Ren, J. (2016). Mining frequent biological sequences based on bitmap without candidate sequence generation. Computers In Biology And Medicine, 69, 152-157. doi: 10.1016/j.compbiomed.2015.12.016

(15)Peng, X., Xu, C., Ren, J., & Liu, K. (2016). The Constructions of Mismatched Filtering of Periodic Quadriphase Sequences with Even Length. Ieice Transactions on Fundamentals Of Electronics Communications And Computer Sciences, E99A(9), 1735-1739. doi: 10.1587/transfun.E99.A.1735

(16)Peng, X., Ren, J., Xu, C., & Liu, K. (2016). New Families of Binary Sequence Pairs with Three-Level Correlation and Odd Composite Length. Ieice Transactions on Fundamentals Of Electronics Communications And Computer Sciences, E99A(4), 874-879. doi: 10.1587/transfun.E99.A.874

(17)Peng, X., Ren, J., Xu, C., & Liu, K. (2016). Perfect Gaussian Integer Sequences of Degree-4 Using Difference Sets. Ieice Transactions on Fundamentals Of Electronics Communications And Computer Sciences, E99A(12), 2604-2608. doi: 10.1587/transfun.E99.A.2604

(18)Huang, G., Zhang, P., Zhang, B., Yin, T., & Ren, J. (2016). The optimal community detection of software based on complex networks. International Journal Of Modern Physics C, 27(8). doi: 10.1142/s0129183116500856

(19)Huang, G., Zhang, B., Ren, R., & Ren, J. (2015). An algorithm to find critical execution paths of software based on complex network. International Journal Of Modern Physics C, 26(9). doi: 10.1142/s0129183115501016