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Chao Gao, Professor
Title: Leading talents of the ministry of science and technology
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 First Prize of Natural Science, Excellent Achievement in Scientific Research of Universities, Ministry of Education, 2022 (5/6)
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, H. Liu, J. J. Huang, Z. Wang, X. H. Li, and X. L. Li, Regularized spatial-temporal graph convolutional networks for metro passenger flow prediction, IEEE Transactions on Intelligent Transportation Systems, 2024, doi: 10.1109/TITS.2024.3365179. [PDF] | [Code]
C. Gao, S. Yin, H. Q. Wang, Z. Wang, Z. W. Du, and X. L. Li, Medical knowledge based graph neural network for medication combination prediction, IEEE Transactions on Neural Networks and Learning Systems, 2023, doi:10.1109/TNNLS.2023.3266490. [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, 2023, 53(6): 3599-3612. [PDF] | [Code]
C. Gao, Z. Yin, Z. Wang, X. H. Li, and X. L. Li, Multilayer network community detection: A novel multiobjective evolutionary algorithm based on consensus prior information, IEEE Computational Intelligence Magazine, 2023, 18(2): 46-59. [PDF] | [Code]
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]
Z. Wang, C. Y. Wang, X. H. Li, C. Gao, X. L. Li, and J. Zhu, Evolutionary Markov dynamics for network community detection, IEEE Transactions on Knowledge and Data Engineering, 2022, 34(3): 1206-1220. [PDF]
J. Zhu, C. Gao, Z. Yin, X. H. Li, and J. Kurths, Propagation structure-aware graph transformer for robust and interpretable fake news detection, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD24), 2024, doi: 10.1145/3637528.3672024. [Code]
D. P. Hou, C. Gao, X. L. Li and Z. Wang, DAG-Aware Variational Autoencoder for Social Propagation Graph Generation, Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI24), 2024, 38(8): 8508-8516. [PDF] | [Code]
S. Yin, P. C. Zhu, L. W. Wu, C. Gao, and Z. Wang, GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking, Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI24), 2024, 38(1): 347-355. [PDF] | [Code]
H. W. Xu, C. Gao, X. H. Li, and Z. Wang, RumorMixer: Exploring echo chamber effect and platform heterogeneity for rumor detection, European Conference on Machine Learning and 25th Principles and Practice of Knowledge Discovery in Databases (ECML PKDD24), 2024 . [Code]
D. P. Hou, C. Gao, Z. Wang, and X. L. Li, Sequential attention source identification based on feature representation, The 32nd International Joint Conference on Artificial Intelligence (IJCAI23), 2023, 4794-4802. [PDF] | [Code]
C. Gao, Y. C. Wang, Z. Wang, X. H. Li, and X. L. Li, Pairwise-interactions-based Bayesian inference of network structure from information cascades, Proceedings of the ACM Web Conference 2023 (WWW23), 2023, 102-110. [PDF] | [Code]