Academic Areas: High dimensional data dimension reduction and processing.

Research Interests: Intelligent computing and pattern recognition

Academic Degrees

PhD, 2009, Institute of Pattern recognition and intelligent control, Huazhong University of Science and Technology, Wuhan, China;

Bachelor, 1998, Department of Applied Mathematics, Huazhong University of Science and Technology, Wuhan, China.

Professional Experience

Lecturer (2003-present); School of Mathematics and Statistics, Huazhong University of Science and Technology;

Associate lecturer (1998-2003); School of Mathematics and Statistics, Huazhong University of Science and Technology.

Selected Publications

• 1. Qiong Wang, Junbin Gao, Hong Li. Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering(accepted, to appear in 2017 IEEE ( CVPR ) Conference at the Hawaii Convention Center in Honolulu, Hawaii July 21st-July 26th, 2017.

• 2. Chengyong Zheng, Hong Li, Qiong Wang ,C. L. Philip Chen. Reweighted Sparse Regression for Hyper-spectral Unmixing，IEEE Transactions on Geoscience and Remote Sensing 2016; 54(2016): 479-488.

• 3. Hong Li, Hongfeng Li, Yantao Wei, YuanyanTang, Qiong Wang. Sparse-based Neural Response for Image Classification. Neurocomputing 2014; 144(2014): 198-207.

• 4. Qiong Wang，Jian Liu. Combining variable precision rough set and neural network in Remote sensing image classification. SPIE 6th International Symposium on Multispectral Image Processing and Pattern Recognition，2009; 7496(2016): 74961-74967

• 5. Qiong Wang,Hong Li. Subset selection using rough set in wavelet packet based texture classification. ICWAPR '08. International Conference on Wavelet Analysis and Pattern Recognition, 2008: 662 – 666.

• 6. Qiong Wang，Jian Liu，Jin wen Tian. Weighted texture segmentation method based on the real Gabor filter and rough entropy. Journal of wuhan university of technology, 2007, 29 (2007):134-137.

Awards:

2015 the third prize of the youth teacher's lecture contest of HUST.

2010-2011 and 2014-2015 the second prize was awarded in the school teaching quality assessment.

2012 the first prize in the teaching achievement of HUST(no. 8).

In 2013, the National high-quality resources sharing course (no. 4).

Courses Taught

      Linear Algebra (for undergraduate students)

      Complex Function and Integral Transform(for undergraduate students)

      Calculus(for liberal arts undergraduates)

      Computational Method(for undergraduate students)

      Numerical Analysis(for graduated students)

      Applied higher engineering mathematics(for graduated students)

Project

Hua Zhong University of Science and Technology innovation fund:2015QN130, Research of the application of functional data analysis in hyper-spectral image processing, 2015/01-2017/01, I preside over the project.

National Natural Science Foundation of China: 61472155, Research on functional data learning algorithm for hyper-spectral image processing, 2015/01—2018/12 (in) the persons involved.

National Natural Science Foundation of China: 61075116,Learning algorithm of natural image matching based on derived kernel model, 2011/01—2013/12 (in) the persons involved.