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Faculty

Jianhua XU Professor

Academic Area: 
pattern recognition & bioinformatics
Research Interests: 
  • Statistical Pattern Recognition
  • Statistical Learning Theory
  • Neural Networks
  • Bioinformatics
Bio: 

Working Experience

Professor of Computer Science, School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu, China (2008-present)

Professor of Computer Science, School of Mathematics and Computer Science, Nanjing Normal University, Nanjing, Jiangsu, China (2005-2008)

Associate Professor of Computer Science, School of Mathematics and Computer Science, Nanjing Normal University, Nanjing, Jiangsu, China (2004-2005)

Senior Engineer of Computer Science, School of Mathematics and Computer Science, Nanjing Normal University, Nanjing, Jiangsu, China (2002-2004)

Senior Engineer, Engineer and Assistant Engineer of Geophysical Prospecting for Petroleum, Institute of Geophysical Prospecting for Petroleum, Ministry of Geology and Mineral Resources of China, Nanjing, Jiangsu, China (1987-1999)

 

Educational Background:

Visiting Scholar, Statistics Department, Faculty of Arts and Sciences, Harvard University, Cambridge MA, USA (2008-2009)

PhD, Department of Automation, Tsinghua University, Beijing, China (2002)

MS, Department of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui, China (1987)

BE, Department of Applied Geophysics, Chengdu College of Geology, Chengdu, Sichuan, China (1985)

 

Research

 

Selected Research Projects:

    Feature selection and extraction algorithms in multi-label classification (2013-2016), supported by National Natural Science Foundation of China under Grant 61273246

    Multi-label classification methods based on kernel, regularization and multi-objective optimization and their applications (2009-2011), supported by National Natural Science Foundation of China under Grant 60875001.

 

Selected Journal Articles:

Jianhua Xu, Jiali Liu, Jing Yin and Chengyu Sun (2016). A multi-label feature extraction algorithm via maximizing feature variance and feature-label dependence simultaneously. Knowledge-Based Systems, 2016, 98: 172–184.

Jianhua Xu (2016). Multi-label Lagrangian support vector machine with random block coordinate descent method. Information Sciences, 2016, 329: 184-205.

Kai Wang, Chun Liang, Jinding Liu, Huamei Xiao, Shuiqing Huang, Jianhua Xu and Fei Li (2014). Prediction of piRNAs using transposon interaction and a support vector machine. BMC Bioinformatics, 2014, 15:419.

Jianhua Xu (2014). Multi-label core vector machine with a zero label. Pattern Recognition, 2014, 47(7): 2542-2557.

Jianhua Xu (2014). Random block coordinate descent method for multi-label support vector machine with a zero label. Expert Systems with Applications, 2014, 41(7): 3418-3418.

Jianhua Xu (2013). Fast multi-label core vector machine. Pattern Recognition, 2013, 46(3): 885-898.

Jianhua Xu (2012). An efficient multi-label support vector machine with a zero label. Expert Systems with Applications, 2012, 39(5): 4976-4804.

Jianhua Xu (2011). An extended one-versus-rest support vector machine for multi-label classification. Neurocomputing, 2011, 74(17):3114-3124.

 

Selected Conference Articles

Lei Cao and Jianhua Xu. A label compression coding approach through maximizing dependence between features and labels for multi-label classification. Proceedings of the 27th International Joint Conference on Neural Networks (IJCNN2015), July 2015, Killarney, Ireland, pp.1-8.

Jing Yin, Tengfei Tao and Jianhua Xu. A multi-label feature selection algorithm based on multi -objective optimization. Proceedings of the 27th International Joint Conference on Neural Networks (IJCNN2015), July 13-17, 2015, Killarney, Ireland, pp.1-7.

Jianhua Xu. A random block coordinate descent method for multi-label support vector machine. Proceeding of 20th International Conference on Neural Information Processing (ICONIP2013), November, 2013, Daegu, Korea, LNCS-8227, pp. 281-290.

Jianhua Xu. Multi-label weighted k-nearest neighbor classifier with adaptive weight estimation. Proceedings of the 18th International Conference on Neural Information Processing (ICONIP2011), November, 2011, Shanghai, China, LNCS-7063, pp. 79-88.

Jianhua Xu. Constructing a fast algorithm for multi-label classification with support vector data description. Proceedings of 2010 IEEE International Conference on Granular Computing (GrC2010), August, 2010, Silicon Valley, CA, USA, pp. 817-821.

 

Book:

    Jianhua Xu, Xuegong Zhang (Translators, 2004). V. N. Vapnik (Writer, 1998). Statistical Learning Theory.  Publishing House of Electronics Industry. (In Chinese)

 

Contact:

+86 25 85891990

xujianhua@njnu.edu.cn