Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: UOW_logo.jpg Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: UOW_bld_67.jpg Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: UOW_library.jpg Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: UOW_graduates.jpg

 

 

Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: 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

 

Group Leader of VILA (Visual Information Learning and Analysis)

Head of Postgraduate Studies

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]

 


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


What’s new

1.     Successfully bid for 16th Asian Conference on Computer Vision (ACCV2022 in Macau)

2.     Selected as “Distinguished Senior Program Committee Member” by IJCAI-ECAI 2018

3.     Paper “3D Locality Adaptive GANs for PET synthesis” is accepted by IEEE TMI

4.     Paper “Late Fusion Incomplete Multi-view Clustering” is accepted by IEEE TPAMI

5.     Paper “Covariance Metric Networks for Few Shot Learning” is accepted by AAAI2019

6.     Paper “Cross-region Matching based Image Retrieval” is accepted by IEEE TIP

7.     Paper “Deep SPD Representation for Image Recognition” is accepted by ECCV2018

8.     Paper “Modelling Diffusion for Image Retrieval” is accepted (spotlight) by BMVC2018

9.     Paper “Locality Adaptive GANs for PET image Synthesis” is accepted by MICCAI2018

10.  Paper “3D Conditional GANs for PET image Estimation” is accepted by NeuroImage

11.  Paper “Image Retrieval by Sample-based Characteristics” is accepted (oral) by ACM ICMR18

12.  Three papers (on feature selection, multi-modality, 3D cGANS, etc.) are accepted by ISBI2018

13.  Congratulate Zhimin Gao for being awarded her PhD degree


14.  Signal Processing: Image Communication’s Special Issue on Deep Learning is published

15.  Congratulate Zhimin Gao for ICME17’s “Finalist of World’s First 10K Best Paper Award

16.  Paper on “Training Triplet Networks with GAN” accepted by workshop track ICLR 2017

17.  Paper on “One-Pass Closed-Form Solution for Online Metric Learning” is accepted by PR

18.  Paper on “Revisiting Distance Metric Learning for SPD Matrix” is accepted by CVPR2017

19.  Paper on “Compositional Model Based Fisher Vector Coding” is accepted by IEEE TPAMI

20.  Paper on “Two-Stage Friend Recommendation” is accepted by IEEE TMM

21.  Paper on “Multi-kernel K-means with Incomplete Kernels” is accepted by AAAI2017

22.  Congratulate VILA ex-member Dr. Lingqiao Liu for being granted DECRA17 by ARC

23.  Congratulate Jianjia Zhang for being awarded his PhD degree

24.  Gave a keynote talk at Jiangsu (China) Artificial Intelligence Conference (JSAI2016)

25.  Gave an invited talk at Nanjing (China) Deep Learning Meet-up in Oct 2016

26.  Paper on “Subject-adaptive Integration of SICE Brain Networks” is accepted by PR

27.  Paper on “Multi-Kernel Clustering with Max Local Alignment” IJCAI2016 (Code)

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

29.  Congratulate VILA member Dr. Luping Zhou for being granted DECRA16 by ARC


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

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

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

33.  Paper on “Multiple Kernel K-means Clustering” is accepted by AAAI2016 (Code)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

51.  Congratulations to Lingqiao for being awarded his PhD degree

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

53.  Two papers are accepted by ICCV2013

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

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

56.  Two papers accepted by CVPR2013 (Open access)

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

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

59.   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 leads the group VILA (Visual Information Learning and Analysis).

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.