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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,  National Natural Science Foundation of China, under Grant No. 61702270(2018-2020)

[2]Research on the incremental adaptive manifold learning algorithm for big data flow, the open project foundation of Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, under grant no. IIPL-2016-009(2017-2018)

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

[4]Incremental Semi-supervised Learning Algorithms for Big Data Stream, Natural Science Research of Jiangsu Higher Education Institutions, under Grant No.15KJB520022 (2015-2017)

 

Collaborator:

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

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

[3]Exploiting relationship between attributes for improved attribute learning and further applications, 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, accepted, 2018:55. (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, 2017,8: 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: 1-19. (SCI, CCF C, IF: 1.133)

[4]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)

[5]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.

 

Contact:

73022@njnu.edu.cn