教授
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高超 教授
 

个人简介


高超:教授,博士生导师

人才称号:国家级领军人才、陕西省创新人才

研究方向:多模态认知计算、群体智能决策

联系地址:陕西省西安市碑林区友谊西路127号西北工业大学64信箱

邮政编码:710072

电子邮箱:cgao@nwpu.edu.cn

 

教育背景

2006-2010北京工业大学计算机应用技术博士
1999-2006辽宁科技大学计算机科学与技术学士、硕士
 

工作经历

2021至今西北工业大学光电与智能研究院教授
2011-2020西南大学计算机与信息科学学院副教授、教授
2016-2017德国柏林洪堡大学物理系访问学者
2010-2012香港浸会大学计算机系博士后
 

代表工作

  1. 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.  [BibTeX] | [PDF] | [Code]

  2. 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. [BibTeX] | [PDF] | [Code]

  3. 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.  [BibTeX] | [PDF] | [Code]

  4. 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. [BibTeX] | [PDF] | [Code]

  5. 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. [BibTeX] | [PDF] | [Code]

  6. 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. [BibTeX] | [PDF]

  7. 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]

  8. 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. [BibTeX] | [PDF] | [Code]

  9. 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. [BibTeX] | [PDF] | [Code]

  10. 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]

  11. 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. [BibTeX] | [PDF] | [Code]

  12. 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. [BibTeX] | [PDF] | [Code]


荣誉获奖

  • 2022年教育部高等学校科学研究优秀成果奖自然科学奖一等奖 (5/6)

  • 2018年教育部高等学校科学研究优秀成果奖自然科学奖二等奖 (4/6)

  • 2018年中国中文信息学会“钱伟长中文信息处理科学技术奖”一等奖 (5/8)

 

其他信息

  • 招生:常年招收博士生、硕士生、本科生,从事社交网络分析、复杂网络传播和结构动力学、多模态认知计算、网络舆情分析和群智能优化算法的理论研究与工程实践。请通过邮件联系具体事宜,并附上个人简历。

  • 招聘:课题组有少量教授、副教授和师资博士后名额,欢迎领域学者和优秀博士加盟。同时,诚邀海外学子通过团队申报海外优青等各类人才计划。