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Chao Gao, Professor

Personal Profile


Chao Gao, Professor

Research Direction: His research interests include artificial intelligence theory, social computing, system simulation, big data analysis and modeling, biological inspired optimization algorithm, etc.

Contact Address: P.O. Box 64, 127 West Youyi Road, Beilin District, Xi'an 710072, Shaanxi, P.R. China

Zip Code: 710072

E-mail: cgao@nwpu.edu.cn


Education Background

He received his PhD degree in computer application technology from Beijing University of Technology in 2010.


Work Experience

He was a full professor with the Southwest University (2011-2020), a Visiting Scholar at the University of Humboldt University of Berlin, Germany (2016-2017), a Postdoc at Hong Kong Baptist University (2010-2012).



  • The Second Prize of Natural Science, Excellent Achievement in Scientific Research of Universities, Ministry of Education, 2018 (4/6)

  • The First Prize of Qian Weichang Chinese Information Processing Science and Technology Award, Chinese Information Society of China, 2018 (5/8)


Representative Papers

  • C. Gao, Y. Fan, S. H. Jiang, Y. Deng, J. M. Liu, and X. H. Li, Dynamic Robustness Analysis of a Two-Layer Rail Transit Network Model, IEEE Transactions on Intelligent Transportation Systems, 2022, 23(7): 6509-6524. [PDF] | [Code]

  • C. Gao, J. Zhu, F. Zhang, Z. Wang, and X.L. Li, A novel representation learning for dynamic graphs based on graph convolutional networks,  IEEE Transactions on Cybernetics, 2022, doi:10.1109/TCYB.2022.3159661. [PDF] | [Code]

  • C. Gao, Z. Su, J. M. Liu, and J Kurths, Even central users do not always drive information diffusion, Communications of the ACM, 2019, 62(2): 61-67. [PDF]

  • C. Gao, C. Liu, D. Schenz, X. L. Li, Z. L. Zhang, M. Jusup, Z. Wang, M. Beekman, and T. Nakagaki, Does being multi-headed make you better at solving problems? A survey of physarum-based models and computations, Physics of Life Reviews, 2019, 29: 1-26. [PDF]

  • C. Gao, M. X. Liang, X. H. Li, Z. L. Zhang, Z. Wang, and Z. L. Zhou, Network community detection based on the Physarum-inspired computational framework, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, 15(6): 1916-1928. [PDF]

  • C. Gao, and J. M. Liu, Network-based modeling for characterizing human collective behaviors during extreme events, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(1): 171-183. [PDF]

  • H. Q Wang, Y. Y. Wu, and C. Gao, Medication Combination Prediction Using Temporal Attention Mechanism and Simple Graph Convolution, IEEE Journal of Biomedical and Health Informatics, 2021, 25(10): 3995-4004. [PDF] | [Code]

  • Z. Su, C. Gao, J. M. Liu, T. Jia, Z. Wang, and J. Kurths, The emergence of nonlinear crossover under epidemic dynamics in heterogeneous network, Physical Review E, 2020, 102(5): 052311. [PDF] | [Code]

  • C. Gao, S. H. Jiang, Z. Wang, Y. Deng, Y. Fan, and X. L. Li, A novel method to identify influential stations based on the dynamic passenger flow, Scientia Sinica: Informationis, 2021, 51(9): 1490-150. [PDF]