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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).
Honors
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, andC. 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]