
- data mining
- pattern recognition
- machine learning and its application
Educational Background:
PhD, Computer Science ,Southeast University (2004)
MA,Maths, University of Science and Technology of China (1990)
Research
Research Projects:
The National Natural Science Foundation of China, Research on machine learning technology aiming at multiple costs imbalance. (61272222) (In research)
The National Natural Science Foundation of China,Thce theory and Applications in Big Data Oriented Knowledge Representation, Reasoning, and Online Learning. (61432008) (In research)
Jiangsu Province Science Foundation Project, Massive data processing and analysis for the Internet of Things and cloud computing environments. (BK2011005) (Finished)
The National Natural Science Foundation of China, Research on double sparse large margin classifier . (60873176)(Finished)
Jiangsu Province Science Foundation Project, Research on enhanced large margin classifier and its expansion. (BK2011782)(Finished)
Jiangsu Province Science Foundation Project, Research on subspace classifier ensemble and data imbalance. (BK2008430)(Finished)
Journal Articles:
Zhifen He, Ming Yang*, Huidong Liu: Multi-task joint feature selection for multi-label classification. Chinese Journal of Electronics, 2015,24(2):281-287
Huidong Liu, Ming Yang*, Yang Gao, Yilong Yin, Liang Chen: Bilinear Discriminative Dictionary Learning for Face Recognition. Pattern Recognition (PR) 47(5):1835-1845 (2014)
Huidong Liu, Ming Yang*, Yang Gao: Local Histogram Specification for Face Recognition under Varying Lighting Conditions. Image and Vision Computing, 2014,32(5): 335-347
Jianwu Wan, Ming Yang*, Yang Gao, Yinjuan Chen: Pairwise Costs in Semi-Supervised Discriminant Analysis for Face Recognition. IEEE Transactions on Information Forensics and Security (TIFS), 2014,9(10): 1569-1580.
Huidong Liu, Ming Yang*, Yang Gao,Longbing Cao: Fast Local Histogram Specification. IEEE Transactions on Circuits and Systems for Video Technology, 2014,24(11):1833-1843.
Jian-wu,Wan, Ming Yang*, et al. Weighted Cost Sensitive Locality Preserving Projection for Face Recognition. Journal of Software, 2013,24(5):1155-1164(In Chinese)
Jian-wu,Wan, Ming Yang*.Pairwise Costs in Subclass Discriminant Analysis. Journal of Software, 2013,24(11):2597-2609(In Chinese)
Jian-wu,Wan, Ming Yang, et al. Cost Sensitive Semi-Supervised Laplacian Support Vector Machine.Acta Electronica Sinica,2012,40(7):1410-1416(In Chinese)
Ming Yang,Feiwang.A Classifier Ensemble Algorithm Based on Local Random Subspace. Pattern Recognition and Artificial Intelligence,2012,25(4): 595-603(In Chinese)
Ming Yang, Ping Yang.A Novel Approach to Improving C-Tree for Feature Selection.Applied Soft Computing, 2010,11(2):1924-1931
Ming Yang, Jing Song.A Novel Hypothesis-margin Based Approach for Feature Selection with Side Pairwise Constraints. Neurocomputing, 2010,73(16-18):2859-2872
Ming Yang, Ping Yang.A Novel Condensing Tree Structure for Rough set feature selection. Neurocomputing, 2008,71(4-6):1092-1100
Ming Yang. A Novel Algorithm for Attribute Reduction Based on Consistency Criterion.Chinese Journal of Computers,2010,32(2): 231-239(In Chinese)
Ming Yang.An Incremental Updating Algorithm for Attribute Reduction Based on Improved Discernibility Matrix.Chinese Journal of Computers,2007,30(5): 815-822(In Chinese)
Ming Yang. Approximate Reduction Based on Conditional Information Entropy in Decision Tables. Acta Electronica Sinica, 2007,35(11):2156-2160(In Chinese)
Ming Yang.An Incremental Updating Algorithm of the Computation of a Core Based on the Improved Discernibility Matrix. Chinese Journal of Computers,2006,29(3): 407-413(In Chinese)
Books:
Ming Yang,et al.(2012). Compiler principle tutorial. Beijing: Electronic Industry Press
Ming Yang, et al.(2004). Programmer Exams Solutions.Beijing: Tsinghua University Press.
Ming Yang, et al.(2003). Learning, practicing and test of data structure.Beijing: Tsinghua University Press.
Ming Yang, et al.(2001). Visual C ++ 6.0 programming.Anhui: Anhui University Press.
Patents:
Ming Yang, Jian-wu Wan, Yang Gao. A high precision face recognition method for complex face recognition access control system. Beijing: People’s Publishing House. (CN103035050B)
Honors and Awards:
The prominent teacher of Nanjing Normal University (2006-2007).
The Excellent Graduate Advisor Award of Nanjing Normal University (2012,2014).
Obtain the Third Class Prizes of The Scientific and Technological Progress Award of Jiangsu Province.
Academic Title:
Professor and vice dean of School of Computer Science and Technology
Director of Computer Science and Technology , Nanjing Normal University
Member of the Artificial Intelligence and Pattern Recognition Technical Committee of the CCF (China Computer Federation)
Member of the standing committee of the Machine learning Technical Committee of the CAAI (Chinese Association of Artificial Intelligence)
Member of the Big Data Technology Technical Committee of the CCF (China Computer Federation)
Vice chair of Artificial Intelligence Technical Committee of the JiangSu Province Computer Federation
Journal Reviewer:
- 。 Pattern Recognition
- 。 Pattern Recognition Letters
- 。 Artificial Intelligence in Medicine
- 。 Information Sciences
- 。 Chinese Science Bulletin
- 。 Chinese Journal of Electronics
- 。 Pattern Recognition and Artificial Intelligence
- 。 Control and Decision
- PC chair:
- 。 CCML 2011
- 。 IDEAL 2016
PC Member:
PAKDD 2016
- 。 CCF Big Data 2016
- IDEAL 2013,2014,2015
- CCML 2013,2015
- CRSSC-CWI-CGrC 2014,2016
- SEAL 2014
- NCIIP 2015
- ICIE 2011
Contact:
+86 25 85891987
myang@njnu.edu.cn