Cong Gao
Ph.D

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Publications

By types: Thesis, Journal, Conference

My google scholar page: here

Theses

PhD thesis

C. Gao, Y.Y. Yao, Actionable Three-way Decisions. CS Department, University of Regina, September, 2018.

Download: PPT.

Msc thesis

C. Gao, F.Z. Li, Research on Lie Group Mean Learning Algorithm and Its application (in Chinese, with English abstract). School of Computer Science, Soochow University, May, 2012.

Journal papers

2019

1. C. Gao, S.Y. Zhao, H. Li, Pattern Recognition Based on Lie Group Covariance Feature(translated in Chinese for publication). Journal of Xianyang Normal University 34(6): 24-27, 2019. (Full version is in English, download here)

2. Y. Fang, C. Gao, Y.Y. Yao, Granularity-driven sequential three-way decisions: a cost-sensitive approach to classification. Information Science, doi: 10.1016/j.ins.2019.06.003, 2019.

2017

1. C. Gao, Y.Y. Yao, Actionable strategies in three-way decisions. Knowledge-Based Systems 133: 141-155, 2017.

2. F. Zhu, J. Yang, J. Gao, C. Xu, S. Xu, C. Gao, Finding the samples near the decision plane for support vector learning. Information Sciences 383-383: 292-307, 2017.

3. F. Zhu, J. Yang, S. Xu, C. Gao, N. Ye, T. Yin, Incorporating neighbors' distribution knowledge into support vector machines. Soft Computing 21: 6407-6420, 2017.

2016

1. F. Zhu, J. Yang, C. Gao, T. Yin, A weighted one-class support vector machines. Neurocomputing 189: 1-10, 2016.

2. F. Zhu, J. Yang, S. Xu, C. Gao, N. Ye, T. Yin, Relative density degree induced boundary detection for one-class SVM. Soft Computing 20: 4473-4485, 2016.

2014

1. F. Zhu, J. Yang, N. Ye, C. Gao, G. Li, T. Yin, Neighbors' distribution property and sample reduction for support vector machines. Applied Soft Computing 16: 201-209, 2014.

2012

1. C. Gao, F.Z. Li, C. Shen, Research on Lie group kernel learning algorithm (in Chinese). Journal of frontiers of computer & technology, 6(11): 1026-1038, 2012.

2. C. Gao, F.Z. Li, Research on Lie group means learning algorithm (in Chinese). Pattern Recognition & Artificial Intelligence, 25(6): 900-908, 2012.

3. C. Shen, F.Z. Li, C. Gao, S.P. He, Face tracking in color images based on Lie group (in Chinese). Journal of frontiers of computer & technology, 6(7): 654-663, 2012.

Conference papers

2017

1. C. Gao, Y.Y. Yao, Actionable strategies in three-way decisions with rough sets. International Joint Conference on Rough Sets (IJCRS 2017), LNCS 10314(2): 183-199, Olsztyn, 2017. (Best Student Paper Award)

2016

1. C. Gao, Y.Y. Yao, Determining thresholds in three-way decisions with chi-square statistic. International Joint Conference on Rough Sets (IJCRS 2016), LNCS 9920: 272-281, Santiago de Chile, 2016.

2015

1. Y.Y. Yao, C. Gao, Statistical interpretations of three-way decisions. 10th International Conference on Rough Sets and Knowledge Technology (RSKT 2015), LNCS 9436: 309-320, Tianjin, 2015.

2014

1. C. Gao, Y.Y. Yao, An addition strategy for reduct construction. 9th International Conference on Rough Sets and Knowledge Technology (RSKT 2014), LNCS 8818: 535-546, Shanghai, 2014. (Best Student Paper Award)

2012

1. C. Gao, F.Z. Li, Research on Lie group kernel learning algorithm. Proceedings of the Joint Conference of 12th China Conference on Rough Sets and Soft Computing, 6th China Conference on Web Intelligence and 6th China Conference on Granular Computing (CRSSC-CWI-CGrC2012), Hefei, 2012.

2011

1. C. Gao, F.Z. Li, Research on Lie group means learning algorithm. Proceedings of the Joint Conference of 11th China Conference on Rough Sets and Soft Computing, 5th China Conference on Web Intelligence and 5th China Conference on Granular Computing (CRSSC-CWI-CGrC2011), Nanjin, 2011. (Best Student Paper Award)