复杂网络的理论及应用  包括：

（一）网络描述及性能分析、网络动力学过程分析、网络设计

（二）人类集群行为分析、社交网络分析等

（三）大数据挖掘与分析、图嵌入（图神经网络：社团挖掘、链路预测）等

Journal of Social Computing 编委                        2025年3月至今

Frontiers in Physics  客座副编辑                       2022年

IEEE Senior Member                                 2025年4月至今

上海市非线性科学研究会 理事                                                                      2024年11月至今

中国中医药信息学会中医诊断信息分会常务理事                                                    2018年11月至今

国际网络(NetSci)科学协会中国分会秘书长                    2018年1月至今

中国工业与应用数学学会复杂系统与复杂网络专委会委员            2016年10月至今

中国指挥与控制学会网络科学与工程专委会委员                 2016年4月至今

上海市自动化学会自动化理论专委会秘书                     2015年8月至2019年7月

NetSci2022， 卫星会议主席                             2022年

NetSciX 2018, Program Committee                         2017-2018年

全国复杂网络大会， 程序委员会委员                        2017年至今

中国网络科学论坛， 程序委员会委员                        2016年至今

Scientific Reports (NPG), IEEE Trans on Systems, Man and Cybernetics (IEEE SMC), IEEE Trans on network Science and Engineering (IEEE TNSE), IEEE Trans on Control of Network Systems (IEEE CNS), IEEE Trans on Computational Social Systems (IEEE CSS), IEEE Journal of Biomedical and Health Informatics (IEEE BHI), Chaos, European Physical Journal B (Springer), Computer Communications (Elsevier), Journal of Combinatorial Optimization (Springer), Journal of Complex Networks (Oxford Journals) 等国际期刊审稿人

• 上海开源创新卓越成果奖特等奖（2024年）(1/6)

• 上海市计算机学会教学成果奖三等奖（2022年）(2/3)

• 复旦大学信息学院院长奖（2020年）

• 中国中医药信息研究会中医诊断信息分会2018年学术年会获得优秀论文一等奖

• 中国教育部留学基金委奖学金--国家建设高水平大学公派研究生项目（2010-2014）

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

本科基础课：

线性代数（上海市精品课程）

本科专业选修课：

网络科学导论（复旦大学精品课程）

硕士生专业基础课：

网络动力学

发表论文情况：

著作:

[2] 李翔，李聪，王建波, 《复杂网络传播理论：流行的隐秩序》，北京：高等教育出版社，ISBN: 978-7-04-054605-7, 2020.09.

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

书章：

[1] 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.

期刊论文：

[29] Z.L. Zhou, C. Li*, P. Van Mieghem, X. Li, Predicting higher-order dynamics with unknown hypergraph topology, IEEE Transactions on Circuits and Systems I: Regular Papers 72(4), 1693-1706, 2025. 

[28] W. Wang, C. Li*, B. Qu, X. Li, Predicting epidemic threshold in complex networks by graph neural network, Chaos, 34, 063129, 2024. 

[27] L. Zhou, J.Y. Dai, B. Qu*, C. Li*,Vaccination strategies in disease-behavior evolution model，Frontiers in Physics, 12:1387267，2024.

[26] C. Li, J.Y. Dai, X. Li*, Imperfect Evolutionary Vaccination Game Incorporating Individual Social Difference and Subjective Perception, IEEE Trans on Computational Social Systems，11 (2), 2369-2382, 2024.

[25] Q.H. Chen, Y. Zhao, C. Li*, X. Li, Robustness of higher-order networks with synergistic protection, New Journal of Physics,2023, 25, 113045.

[24] Y.J. Zhu, C. Li*, X. Li, Epidemic spreading on coupling network with higher-order information layer, New Journal of Physics, 2023, 25, 113043.

[23] C. Li*, C. Hens, Complexity in structural and functional brain networks. Comment on "Structure and function in artificial, zebrafish and human neural networks" by Ji et al. Physics of Life reviews, 2023, 47, 131-132.

[22] Y. Zhao, C. Li*, D.H. Shi, G.R. Chen, X. Li, Ranking cliques in higher-order complex networks, Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023, 33(7): 073139.

[21] J. Wu, B. Ye, Q. Gong, A. Oksanen, C. Li, J. Qu, F. F. Tian, X. Li, Y. Chen∗，Characterizing and Understanding the Development of Social Computing through DBLP: A Data-Driven Analysis, Journal of Social Computing, Volume 3, Number 4, pp287-302, 2022.

[20] J.Y. Dai, C. Li*, and X. Li, Heterogeneous social difference in the interplay between epidemic and information spreading, EPL, 2022, 140, 51001.

[19] X.J. Li, C. Li*, X. Li, The impact of information dissemination on vaccination in multiplex networks, Science China-Information Sciences (Sci China Inf Sci), 2022, 65(7):172202.

[18] M. Shi, B. Qu, X. Li, C. Li*，Network Representation Learning with Community Awareness and Its Applications in Brain Networks. Frontiers in Physiology (Front. Physiol.), 2022, 13:910873.

[17] C. Li*，M. Shi, B. Qu, X. Li*，Deep Attributed Network Representation Learning via Attribute Enhanced Neighborhood, Neurocomputing, 2022, 508, 170-181.

[16] J. Y. Li, X. Li, C. Li*, The Kronecker-clique model for higher-order clustering coefficients, Physica A: Statistical Mechanics and its Applications, 2021, volume 582, 126269.

[15] C. Li，Y. Zhang, X. Li*，Epidemic threshold in temporal multiplex networks with individual layer preference, IEEE Transactions on Network Science and Engineering, vol. 8, no. 1, pp. 814-824, 1 Jan.-March 2021.

[14] C. Li, J. Li and X. Li*, Evolving nature of human contact networks with its impact on epidemic processes, Complexity, Article ID 6643658, 2021.

[13] 李靖，李聪*，李翔，人类时效交互网络的建模与传播研究综述，复杂系统与复杂性科学（Complex Systems and Complexity Science），Vol 16，No.3，pp1-21. Sep. 2019. 文章编号1672-3813（2019）.

[12] C. Li, W.J. Wang, J.Y. Li, J.T. Xu and X. Li*, Community Detector on Symptom Networks with Applications to Fatty Liver Disease, Physica A: Statistical Mechanics and its Applications, Volume 527, 1 August 2019, 121328. 

[11] C. Li, S.M. Zhang, X. Li*, Can multiple social ties help improve human location prediction? Physica A: Statistical Mechanics and its Applications, 2019, 525, 1276–1288. 

[10] Z.J. Li, C. Li*, X. Li, Mining the rank of universities with Wikipedia, Science China-Information Science (Sci China Inf Sci), 2019, 62(10): 209202.

[9] D.C. Guo, H. Yin, C. Li*, X. Zhang, Average hopcount of the shortest path in tree-like components with finite size, Physica A, 519 (2019) 295–302. 

[8] 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).

[7] 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. 

[6] 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.

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

[4] 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.

[3] 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.

[2] 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.

[1] 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.

会议论文 (EI检索):

[26] J.W. Tang, M. Gao, Y. Xiao, C. Li, Y. Chen*， EGGPU：Enabling Efficient Large-Scale Network Analysis with Consumer-Grade GPUs, Proceedings of the Third International Workshop on Social and Metaverse Computing, Sensing and Networking(SocialMeta'24), p.25-30, 2024.

[25] H. Lin, N. Chen, Y. Chen, X. Li, C. Li*, BotScan: An Unsupervised Bot Detection Based on Adversarial Learning and Social Perception, Proceedings of the 14th Asian Control Conference, July 5-8, pp. 1872-1878, 2024. 

[24] H. Lin, N. Chen, Y. Chen, X. Li, C. Li*, BotScout: A Social Bot Detection Algorithm Based on Semantics, Attributes and Neighborhoods, Proceedings of International Conference on Intelligent Computing (ICIC 2024), August 5-8, Tianjin, China. pp. 343-355, 2024.

[23] Z.T. Hu, B. Qu*, X. Li*, C. Li*, An Encrypted Traffic Classification Framework Based on Higher-Interaction-Graph Neural Network, Proceedings of the 29th Australasian Conference on Information Security and Privacy (ACISP24), July 15-17, Sydney, Australia, pp383-403, 2024.

[22] Z.L. Zhou，C. Li*, B. Qu, X. Li, Predicting Higher-order Dynamics without Network Topology by Ridge Regression, Proceedings of the IEEE International Symposium on Circuits and Systems, May 19-22, Singapore, 2024.

[21] J.C. Li, C. Li*, X. Li, Public Goods Game on Hypergraph with Gentle Win-Stay, Lose-Shift Strategy, CCC2022, Hefei, 6916-6921, July, 2022.

[20] L.Y. Wu, Q.D. Sun, C. Li*, X. Li，Influence of Reporting Rate on Epidemic Control Based on SIXAR Model, CCC2022, Hefei, 715-720, July, 2022.

[19] Q.Z. Ye, Y.X. Cao, Y. Chen*, C. Li, X. Li, Deep Learning-Based User Privacy Settings Recommendation in Online Social Networks, International Joint Conference on Neural Networks (IJCNN), 1-9, 2022.

[18] J.Y. Dai, C. Li*, X. Li, Detection of Influential Nodes Using Neighbor Closeness in Complex Networks, pp764-769, CCC2021, shanghai, 26-28, July, 2021.

[17] Y.Y. Peng, B. Hu, H, Feng, X. Li and C. Li*, An Improved Solution to Identify Spatial Invasion on Metapopulation Networks with SI model, pp730-735, CCC 2021, shanghai, 26-28, July,2021.

[16] X.Z. Tang, Y. Zhang, C. Li*, X. Li, How Online Social Ties Influence the Epidemic Spreading of a Multiplex Network? IFIP Networking 2020，23th June (online) Pairs, France, P1-5.

[15] H.Y. Ji, Q. Yuan, C. Li, X. Li*, Bearing-Based Formation Control of Multi-Agent System without Leader’s Velocity Information, IFAC World Congress 2020 (online), P1-5.

[14] Y. Zhang, J.B. Wang, C. Li*, X. Li, Epidemic spreading in time-varying networks with activity-driven infectivity, 58th IEEE Conference on Decision and Control (CDC 2019), pp. 3776-3781, December 11-13, 2019, Nice France.

[13] R.R. Kang, C. Li, X. Li*, Social Power Convergence on Duplex Influence Networks with Self-Appraisals networks, 58th IEEE Conference on Decision and Control (CDC 2019), pp. 5611-5616. December 11-13, 2019, Nice France.

[12] W.J. Wang, C. Li*, J.T. Xu, and X. Li, Bridging Fatty Liver Disease and Traditional Chinese Medicine: A Complex Network Approach. The 2019 IEEE international symposium on circuits & systems (ISCAS 2019), SAPPORO, Japan, 2019.

[11] S.-M Zhang, C. Li* and X. Li, Predicting Location Trajectories of Humans by Their Diverse Social Ties, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, Oct. 7-10, p1217-1222.

[10] X.J. Li, C. Li, X. Li*, Win-win zero-determinant strategy to vaccinate the SIS network epidemics, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, Oct. 7-10, p3119-3124.

[9] J. Li, C. Li*, X. Li，Quantifying the contact memory in temporal human interactions，The 2018 IEEE international symposium on circuits & systems (ISCAS 2018), Florence, Italy, May 27-30, 2018，PP.1-5.

[8] 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.

[7] 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.

[6] 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.

[5] 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.

[4] 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.

[3] 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.

[2] 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.

[1] 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.

发明专利:

[1] 一种自动推断社会关系的移动用户位置预测方法与装置，申请人：复旦大学，发明人：李翔;张澍民;李聪,专利号：ZL201810222692.2，授权公告日：2020年07月28日，授权公告号：CN108650614B. (已授权)