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Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: image003.jpgLei Wang   (王雷)

 

Associate Professor,

Ph.D., M.Eng, B.Eng, IEEE Senior Member

School of Computing and Information Technology

University of Wollongong

Office: Room 219, Building 3

Tel: (61) 2 4221-3771, Email: leiw (at) uow (dot) edu (dot) au

[Google Scholar Citations]

 

 

 


My Team   Future Students   Supervision/Teaching   Publication/Grants   Service/Activity   


What’s new

CFP for Signal Processing: Image Communication’s Special Issue on Deep Learning

1.     Paper on “Deep Learning for HEp-2 Cell Image Classification” is accepted by IEEE JBHI

2.     VILA member Luping Zhou is granted DECRA16 award by ARC

3.     Paper on “Learning Discriminative Bayesian Networks” is accepted by IEEE TPAMI

4.     Paper on “Graph-embedding for Merging Visual Words” is accepted by IEEE TNNLS

5.     Paper on “Recommendation based on Network Correlation” is accepted by IEEE TMM

6.     Paper on “Multiple Kernel K-means Clustering” is accepted by AAAI2016

7.     Paper on “Beyond Covariance Representation” is accepted by ICCV2015 (Code)

8.     Paper on “Multifractal Features for AD Classification” is accepted by MRM

9.     Paper on “Learning Discriminative Stein Kernel for SPD” is accepted by IEEE TNNLS

10.  Paper on “Probabilistic Framework for Compact Codebook” is accepted by IEEE TPAMI

11.  Paper on “Density Maximization for Improving Graph Matching” is accepted by IEEE TIP

12.  Paper on “Brain Network Classification With SICE Matrices” is accepted by IEEE TBME

13.  Paper on “MKL for Alzheimer's Disease Prediction” is accepted by PR

14.  Paper on “Absent Multiple Kernel Learning” is accepted by AAAI2015

15.  Paper on “Sparse Coding based Fisher Vector” is accepted by NIPS2014

16.  Paper on “Model-seeking for Feature Matching” is accepted (Oral) by ECCV2014 (Code)

17.  Paper on “Discriminative BN from Neuroimaging Data” is accepted by MICCAI2014

18.  Paper on “Sample-adaptive Multiple Kernel Learning” is accepted by AAAI2014.

19.  Paper on “Discriminative Sparse Inverse Covariance Matrix” is accepted by CVPR2014

20.  Gave an invited talk at Charles Sturt University in April 2014

21.  Gave an invited talk at Canon Information Systems Research Australia in Feb 2014

22.  Two book chapters in “Support Vector Machines Applications” are published in 2014

23.  Congratulations to Xinwang for being granted “Excellent PhD Thesis Award”

24.  Congratulations to Lingqiao for being awarded his PhD degree

25.  Two journal papers (IEEE TNNLS and PR) are accepted.

26.  Two papers are accepted by ICCV2013

27.  One paper (PDF) is accepted by International Journal of Computer Vision (IJCV).

28.  Two journal papers (IEEE TPAMI and IEEE TNNLS) are accepted.

29.  Two papers accepted by CVPR2013 (Open access)

30.  Our team won the 4th position (of 28 international teams) in the contest on HEp-2 cells classification hosted by ICPR 2012.

31.  Advanced Multimedia Research Lab and ICTR UOW successfully bid for DICTA2014 in Wollongong

32.   A tutorial on Bag-of-feature Model in Visual Recognition, presented on Pacific-Rim Conference on Multimedia, Dec 2011. A slightly longer version presented on IEEE SPS Seasonal School on Social Media Processing, July 2012.


About Me

Dr. Lei Wang received the B.Eng and M.Eng from Southeast University, China in 1996 and 1999, respectively, and the Ph.D. from School of EEE in Nanyang Technological University, Singapore in 2004. He worked as research associate and research fellow in Nanyang Technological University from 2003 to 2005. After that, he joined the Department of Information Engineering, RSISE, The Australian National University as research fellow. In Jan 2007, he was awarded the Australian Postdoctoral Fellowship by the Australian Research Council and worked as APD research fellow from 2007 to 2009. In May 2009, he was awarded the Early Career Researcher Award by Australian Academy of Science and Australian Research Council. From Jan 2010, he works as Fellow in School of Engineering of the College of Engineering and Computer Science. Now he is associate professor of Faculty of Engineering and Information Sciences of University of Wollongong. He is a member of the Advanced Multimedia Research Lab.

His research interest lies in machine learning, pattern recognition and computer vision. For machine learning and pattern recognition, he is interested in feature selection, model selection, and kernel-based learning methods. For computer vision, he is interested in content-based image retrieval and generic image categorisation. Besides, he has broad interest in the topics in the fields of pattern recognition and data analysis.