2010年9月至2014年10月 （荷兰）代尔夫特理工大学智能系统专业哲学博士学位

2009年9月至2010年7月 吉林大学通信工程学院模式识别与智能系统专业（免试推荐）硕士研究生（在读期间获得国家公派留学资格）

2005年9月至2009年7月 吉林大学通信工程学院通信工程专业工学学士学位

发表论文情况：

Books:

[1] Li C., “Characterization and Design of Complex Networks”, ISBN: 978-94-6186-364-5, 2014.

Chapters:

[2] Li X., Wang J.-B. and Li C., Towards Identifying and Predicting Spatial Epidemics on Complex Meta-population Networks, “Temporal Network Epidemiology”, pp 129-160, Springer, ISBN：978-981-10-5286-6, 978-981-10-5287-3 (ebook), 2017.

Papers:

[3] X.-J. Li, C. Li, X. Li, Minimizing Social Cost of Vaccinating Network SIS Epidemics, IEEE Transactions on Network Science and Engineering, 2017. (DOI 10.1109/TNSE. 2017. 2766665).

[4] B. Qu, C. Li*, P. Van Mieghem, H. Wang, Ranking of nodal infection probability in Susceptible-Infected-Susceptible  Epidemic, Scientific Reports 7, Article number: 9233, 2017.  (http://www.nature.com/articles/s41598-017-08611-9)

[5] P. Yao, C. Li* and X. Li, The Functional Regions in Structural Controllability of Human Functional Brain Networks, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, Canada, Oct. 5th-8th 2017, P1603-1608.

[6] X.-J. Li, C. Li, X. Li, Vaccinating SIS epidemics in networks with zero-determinant strategy, IEEE international symposium on circuits & systems (ISCAS 2017), Baltimore, MD, USA, p2275-2278.

[7] Z.-J. Li, C. Li*, X. Li, On ranking and mining universities with the encyclopedia Wikipedia, 2016 International Symposium on Nonlinear Theory and Its Applications (NOLTA 2016), Yugawara, Japan, November 27th–30th, 2016, p26-29.

[8] B.-Y Hou, X. Li, C. Li, Recent Advances and Challenges on Control of Complex Networks, Proceedings of the 35th Chinese Control Conference, 2016, 27-29 July, Chengdu, China, p1187-1191.

[9] J.-B. Wang, C. Li* and X. Li, Predicting spatial transmission at the early stage of epidemics on a networked metapopulation, Proceedings of the 12th IEEE International Conference on Control & Automation, Kathmandu, Nepal, 2016, Jun. 1-3, p116-121.

[10] X. Li, J.-B. Wang and C. Li, Towards identifying epidemic processes with interplay between complex networks and human populations, Proceedings of the 2nd IEEE Conference on Norbert Wiener in the 21st Century, Melbourne, Australia, 2016, July 13-15, p67-71.

[11] C. Li*, Q. Li, P. Van Mieghem, H. Eugene Stanley and H. Wang, “Relation Between Centrality Metrics and Their Application to the Opinion Model”, European Physical Journal B, Vol. 88, No. 3, article 65, 2015.

[12] C. Li*, H. Wang and P. Van Mieghem, “New Lower Bounds for the Fundamental Weight of the Principal Eigenvector in Complex Networks”, Third International IEEE Workshop on Complex Networks and their Applications, November 23-27, Marrakesh, Morocco, 2014.

[13] C. Li*, H. Wang and P. Van Mieghem, “Epidemic Threshold in Directed Networks”, Physical Review E 88(6), 062802, 2013.

[14] C. Li*, R. Van de Bovenkamp and P. Van Mieghem,” Susceptible-Infected-Susceptible Model: A Comparison of N-intertwined and Heterogeneous Mean-field Approximations”, Physical Review E 86(2), 026116, 2012.

[15] C. Li*, H. Wang and P. Van Mieghem, ” Bounds for the Spectral Radius of a Graph When Nodes are Removed”, Linear Algebra and its Applications 437, pp. 319-323,2012.

[16] C. Li*, H. Wang and P. Van Mieghem, ”Degree and Principal Eigenvectors in Complex Networks”, Networking 2012, Part I, LNCS 7289, pp. 149-160, 2012.

[17] C. Li*, H. Wang, W. De Haan, C. J. Stam and P. Van Mieghem, ” The Correlation of Metrics in Complex Networks with Applications in Functional Brain Networks”, Journal of Statistical Mechanics: Theory and Experiment (JSTAT), 11018, 2011.

[18] P. Van Mieghem, D. Stevanovic, F. A. Kuipers, C. Li, R. Van de Bovenkamp, D. Liu and H.Wang, “Decreasing the Spectral Radius of a Graph by Link Removals”, Physical Review E 84(1), 016101, 2011.

[19] C. Li*, F. Liu and Y. Zhang, “A Principal Palm-line Extraction Method for Palmprint Images Based on the Diversity and Contrast”, The 3rd International IEEE Congress on Image and Signal Processing (CISP’10), 2010.