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Faculty

Chao Tan Lecturer

Academic Area: 
data mining and machine learning
Research Interests: 
  • Data Mining
  • Machine Learning
  • Feature Extraction
  • Manifold Learning
Bio: 

 

Educational Background:

Postdoctor, School of Computer Science and Engineering, Southeast University (2016-now)

PhD, Department of Computer Science and Technology, Tongji University (2009-2014)

MS, School of Computer Science and Engineering, Southeast University(2006-2009)

BS, School of Computer Science and Engineering, Southeast University (2001-2005)

 

Research

Research Projects:

Principal investigator:

[1]Research on incremental feature extraction algorithms of high dimensional big data streams(61702270), National Natural Science Foundation of China(2018-2020)

[2]Research on incremental manifold learning optimization algorithm for big data streams(2017M621592), China Postdoctoral Science Foundation(2017-2019)

[3]Research on the incremental adaptive manifold learning algorithm for big data flow(IIPL-2016-009), the open project foundation of Shanghai Key Laboratory of Intelligent Information Processing, Fudan University(2017-2018)

[4]Incremental Manifold Learning Algorithm Research for Meteorological Big data(No.KJR1602), Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology(CICAEET) and the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)(2016-2017)

[5]Incremental Semi-supervised Learning Algorithms for Big Data Stream(15KJB520022), Natural Science Research of Jiangsu Higher Education Institutions(2015-2017)

 

Collaborator:

[1]Research on spatial key words' query processing for road network(61373036), National Natural Science Foundation of China(2014-2017)

[2]Low-rank representation based robust feature extraction and classification methods(61503188), National Natural Science Foundation of China(2016-2018)

[3]Research on the face properties under uncontrol scenario(BK20161020), Natural Science Research of science and technology Department of Jiangsu province(2016-2019)

[4]Exploiting relationship between attributes for improved attribute learning and further applications(15KJB520023), Natural Science Research of Jiangsu Higher Education Institutions (2015-2017)

Journal Articles:

[1]Chao Tan, Genlin Ji, Bin Zhao. Self-adaptive Streaming Big Data Learning Algorithm Based on Incremental Tangent Space Alignment. Journal of Computer Research and Development, 2017, 54(11):2547-2557. (EI, IF:1.316, in Chinese)

[2]Chao Tan, Genlin Ji. Semisupervised local preserving embedding algorithm based on maximum margin criterion for large-scale data streams, Concurrency and Computation: Practice and Experience, 2017,29(11): 1-13. (SCI, CCF C, IF: 1.133)

[3]Chao Tan, Genlin Ji. Semi-Supervised Incremental Feature Extraction Algorithm for Large-Scale Data Stream, Concurrency and Computation: Practice and Experience, 2017,29(6): 1-19. (SCI, CCF C, IF: 1.133)

[4] Chao Tan, Genlin Ji, Bin Zhao. Incremental Manifold Learning Regular Optimization Algorithm on Tangent Space and Feature Space Alignment, Journal of Data Acquisition and Processing, 2017,32(6):1141-1152.

[5]Chao Tan, Genlin Ji. An Incremental Manifold Learning Algorithm Based on Iterative Decomposition, JOURNAL OF NANJING NORMAL UNIVERSITY(Natural Science Edition), 2016, 39 (1):14-20.

[6]Chao Tan, Jihong Guan, Shuigeng Zhou. Multi-Sample Incremental Manifold Learning Algorithm Based on Isogonal Mapping, Pattern Recognition and Artificial Intelligence, 2014, 27(2): 127-133. (EI, IF: 0.954, in Chinese)

[7]Chao Tan, Jihong Guan, Shuigeng Zhou. Incremental and evolutionary manifold learning:a survey. CAAI Transactions on Intelligent Systems, 2012, 7(5):377-388. (IF: 0.811, in Chinese)

Conference Articles:

[1]Chao Tan, Genlin Ji. SSLPE: A Semi-Supervised Local Preserving Embedding Algorithm, International Conference on Advanced Cloud and Big Data, 2016, 8:277-282. (EI, Best Paper Award)  

[2]Chao Tan, Genlin Ji. A Manifold Learning Algorithm Based on Incremental Tangent Space Alignment, International Conference on Cloud Computing and Security, ICCCS 2016, Part II, LNCS 10040, 2016,7:541-552. (SCI, WOS:000389502100048)

[3]Chao Tan, Genlin Ji, Bin Zhao. SLFE: A New Semi-supervised Local Feature Extraction Algorithm, International Conference on Advanced Cloud and Big Data, 2015, 10: 304-310. (EI)   

[4]Chao Tan, Jihong Guan, Shuigeng Zhou. IKLTSA: An Incremental Kernel LTSA Method. Machine Learning and Data Mining in Pattern Recognition, LNAI 9166, 2015, 7:70-83. (EI)

[5]Chao Tan, Chao Chen, Jihong Guan. A Nonlinear Dimension Reduction Method with Both Distance and Neighborhood Preservation, Knowledge Science, Engineering and Management, LNAI 8041, 2013, 8: 48-63. (EI, CCF C)

[6]Chao Tan, Jihong Guan. A Feature Space Alignment Learning Algorithm, Pacific Rim International Conference on Artificial Intelligence, LNAI 7458, 2012. 9: 795-800. (EI, CCF C)

[7]Chao Tan, Jihong Guan. A New Manifold Learning Algorithm Based on Incremental Spectral Decomposition, Advanced Data Mining and Applications, LNAI 7713, 2012, 12: 149-160. (EI)

 

Patents:

Incremental Manifold Learning Software based on Iterative Decomposition, 2016, Beijing: People’s Publishing House.

Honors and Awards:

CBD2016 Best Paper Award

First-class Graduate Student Scholarship, Southeast University, 2008

Second-class Graduate Student Scholarship, Southeast University, 2007

Academic Title:

Member of the China Computer Federation

Member of the Jiangsu Assocation of Artificial Intelligence

PC Member of the International Conference on Advanced Cloud and Big Data

Contact:

73022@njnu.edu.cn