Lei Wang  

 

Fellow (Senior Lecturer)      

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

 

School of Engineering

College of Engineering and Computer Science (CECS)

The Australian National University (ANU)

Office: Room B350, Building 115

Tel: (61) 2 612-57780, Email: lei (dot) wang (at) anu (dot) edu (dot) au

 

Future Students    About Me     Grants/Awards    Teaching     Supervision    

Publication     Demonstration     

Professional Service       Research Activity       External Collaboration

Future Students

If you are interested in the research in the fields of Machine Learning, Pattern Recognition and Computer Vision, please be free to send me an email about your background and interest. We can discuss the potential research topics. If you are going to pursue a higher degree, please submit the application through the ANU application system. The scholarship information can be found from http://cecs.anu.edu.au/students/future/graduate.

Education, Working Experience, and Research Interest

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. He is an IEEE Senior Member.

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, human action recognition, and human motion tracking. Besides, he has broad interest in the topics in the fields of pattern recognition and data analysis.

Grants and Awards

·         Australian Academy of Science Australian Research Council Early Career Researcher Award, 2009

·         Australian Research Council (ARC) Discovery Project (AUD255,000, 2007—2009 )

Computer Vision Optimization Problem Using Machine Learning

Richard Hartley and Lei Wang

Role: Australian Postdoctoral Fellowship (APD)

 

·         Australian Research Council (ARC) Linkage Project (AUD240,000 from ARC, 2009—2012)

Generic Content-based Picture Retrieval with Its Application to Archival Photographic Collections

Lei Wang, Richard Hartley, Hongdong Li

Role: Lead Chief investigator

 

·         Awards for Contributing to Teaching, AUD5,000, School of Engineering, CECS, ANU, 2010

 

·         A number of Travel Grants, School of Engineering, CECS, ANU, 2005—2010

 

·         Research Scholarship, Nanyang Technological University, 1999—2002

Teaching

·         1st Semester 2011, ENGN4528 / ENGN6528 Computer Vision, Course Convenor and Lecturer, College of Engineering & Computer Science, The Australian National University

 

·         1st Semester 2010, ENGN4528 / ENGN6528 Computer Vision, Course Convenor and Lecturer, College of Engineering & Computer Science, The Australian National University

 

·         2nd Semester, 2009, ENGN6520 / ENGN4520 Special Topics on Pattern Recognition and Computer Vision, Course Convenor and Lecturer, College of Engineering & Computer Science, The Australian National University

 

·         2nd Semester 2008, ENGN6520 / ENGN4520 Statistical Pattern Recognition and Its Applications to Computer Vision, Course Convenor and Lecturer, College of Engineering & Computer Science, The Australian National University

Supervision (As Panel Chair and Primary Supervisor)

·         (On-going) Xinwang Liu, PhD student, Machine Learning Algorithm Research on Multiple Kernel Learning  

·         (On-going) Lingqiao Liu, PhD student, Recognizing Human Actions in Video Sequences

·         (On-going) Yifan Lu, PhD student, Inferring Human Pose and Motion from Images and Videos

·         (On-going) Aisha Khan, Masters student, Detecting Unusual Events in Indoor Smart Surveillance

·         (Completed) Chuan Hu, Masters student, Improving SIFT features to Handle Significant Scale Difference for Object Retrieval

·         (Completed) Yuhang Zhang, MPhil student, Local Invariant Feature based Object Retrieval in a Supermarket

·         (Completed) Chuan Hu, Honours student, Final Year Project (HD), Evaluation of Local Invariant Features for Generic Content-based Image Retrieval

·         (Completed) Ran Huo, Honours student, Final Year Project, Evaluation of Local Invariant Features for Generic Content-based Image Retrieval with Relevance Feedback

 

·         (On-going) Another five PhD students (As Co-supervisor or Advisor)

 

Publication

1.     L. Zhou, L. Wang, and C. Shen. Feature Selection with Redundancy-constrained Class Separability. IEEE Transactions on Neural Networks, 21(5):853-858, May 2010.

2.     C. Shen, J. Kim, and L. Wang. Scalable Large-margin Mahalanobis Distance Metric Learning. IEEE Transactions on Neural Networks, 21(9):1524-1530, September 2010.

3.     L. Zhou, R. Hartley, L. Wang, P. Lieby and N. Barnes. Identifying Anatomical Shape Difference by Regularized Discriminative Direction. IEEE Transactions on Medical Imaging, 28(6):937-950, June 2009.

4.     L. Wang, Feature Selection with Kernel Class Separability, IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(9):1534–1546, September, 2008. (Appendix)

5.     L. Wang, K. L. Chan, P. Xue and L. Zhou. A Kernel-induced Space Selection Approach to Model Selection of KLDA. IEEE Transactions on Neural Networks, 19(12):2116-2131, December 2008.

6.     L. Wang, K. L. Chan, and P. Xue. Two criteria for Model Selection of Multi-class Support Vector Machines. IEEE Transactions on Systems, Man and Cybernetics, Part B, 38(6):1432-1448, December 2008.

7.     X. Li, L. Wang, E. Sung. AdaBoost with SVM-based component classifiers. Engineering Applications of Artificial Intelligence, 21(5):785–795, August 2008.

8.     X. Yu, L. Wang, Q. Tian, and P. Xue. A novel multi-resolution video representation scheme based on kernel PCA. The Visual Computer, 22(5): 357-370, 2006.

9.     H. Kong, L. Wang, E. K. Teoh, X. Li, J.-G. Wang, and R. Venkateswarlu. Generalized 2D principal component analysis for face image representation and recognition. Neural Networks, 18(5-6):585–594, July-August 2005.

10.  L. Wang, K. L. Chan, and P. Xue. A criterion for optimizing kernel parameters in KBDA for image retrieval. IEEE Transactions on Systems, Man and Cybernetics, Part B, 35(3):556–562, June 2005.

11.  L. Wang and K. L. Chan. A dynamic sub-vector weighting scheme for image retrieval with relevance feedback. Pattern Analysis & Applications, 6(3):212–223, December 2003.

12.  L. Wang, K. L. Chan, and X. Xiong. A sub-vector weighting scheme for image retrieval with relevance feedback. International Journal of Image and Graphics, 2(2):199–213, 2002.

13.  L. Liu, L. Wang, and C. Shen. A Generalized Probabilistic Framework for Compact Codebook Creation, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2011.

14.  C. Shen, J. Kim, and L. Wang. A Scalable Dual Approach to Semidefinite Metric, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2011.

15.  Y. Lu, L. Wang, R. Hartley, H. Li, and D. Xu. Compressive evaluation in human motion tracking, the 10th Asian Conference on Computer Vision (ACCV), November 2010.

16.  Y. Lu, L. Wang, R. Hartley, H. Li, and D. Xu. Gradual sampling and mutual information maximisation for markerless motion capture, the 10th Asian Conference on Computer Vision (ACCV), November 2010.

17.  K. Jia, L. Wang, and N. Liu. Efficient structured support vector regression, the 10th Asian Conference on Computer Vision (ACCV), November 2010.

18.  N. Brewer, N. Liu and L. Wang, Stereo Disparity Calculation in Real-World Scenes with Informative Image Partitioning, In Proceedings of International Conference on Image and Vision Computing New Zealand (IVCNZ), November, 2010.

19.  L. Zhou, L. Wang, C. Shen, and N. Barnes. Hippocampal Shape Classification Using Redundancy Constrained Feature Selection, In the 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2010.

20.  Z. Zhao, L. Wang, and H. Liu. Efficient Spectral Feature Selection with Minimum Redundancy. In Proceedings of Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), July 2010. (Oral Presentation)

21.  Y. Zhang, R. Hartley, and L. Wang. Fast Multi-labelling for Stereo Matching, the 11th European Conference on Computer Vision (ECCV), September 2010.

22.  J. Ke, L. Cheng, N. Liu and L. Wang. Efficient Learning to Label Images. In Proceedings of Twentieth International Conference on Pattern Recognition (ICIP), August 2010.

23.  N. Brewer, N. Liu, L. Wang. Guided Informative Image Partitioning. In Proceedings of Thirteenth International Workshop on Structural and Syntactic Pattern Recognition (S+SSPR), August 2010.

24.  L. Tang, X. Wang, H. Liu, and L. Wang. A Multi-Resolution Approach to Learning with Overlapping Communities. In International Workshop on Social Media Analytics, in conjunction with the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 2010.

25.  C. Shen, J. Kim, L. Wang, and A .Van den Hengel. Positive semidefinite metric learning with Boosting. Proceedings of Advances in Neural Information Processing Systems (NIPS), December 2009.

26.  Y. Zhang, L. Wang, R. Hartley, and H. Li. Handling Significant Scale Difference for Object Retrieval in a Supermarket. Proceedings of International Conference on Digital Image Computing - Techniques and Applications (DICTA), December 2009. (Oral presentation)

27.  N. Brewer, N. Liu, L. Cheng, L. Wang. User-Driven Lossy Compression for Images and Video. In Proceedings of International Conference on Image and Vision Computing New Zealand (IVCNZ), Hamilton, New Zealand, December 2009.

28.  J. Kim, C. Shen, and L. Wang. A scalable algorithm for learning a Mahalanobis distance metric. Lecture Notes in Computer Science, Springer, the 9th Asian Conference on Computer Vision (ACCV), September 2009.

29.  K. Jia, N. Liu, L. Wang, and L .Cheng. Pavement Scene Interpretation and Obstacle Detection by Large Margin Image Labeling. In international Workshop on Vision and Control for Access Space (VCAS), in conjunction with the 9th Asian Conference on Computer Vision, September 2009.

30.  C. Shen, A. Welsh, and L. Wang. PSDBoost: Matrix-generation linear programming for positive semidefinite matrices learning. Proceedings of Advances in Neural Information Processing Systems (NIPS), December 2008.

31.  Y. Lu, L. Wang, R. Hartley, H. Li, and C. Shen. Multi-view Human Motion Capture with An Improved Deformation Skin Model. Proceedings of International Conference on Digital Image Computing - Techniques and Applications (DICTA), pages 420-427, December 2008.

32.  J. Kim, C. Shen, and L. Wang. Learning Cascaded Reduced-set SVMs Using Linear Programming. Proceedings of International Conference on Digital Image Computing - Techniques and Applications (DICTA), pages 619-626, December 2008. (Oral presentation)

33.  L. Wang, L. Zhou, and C. Shen. A Fast Algorithm for Creating A Compact and Discriminative Visual Codebook. Lecture Notes in Computer Science, Springer, the 10th European Conference on Computer Vision (ECCV), pages 719-732, October 2008.

34.  L. Zhou, R. Hartley, L. Wang, P. Lieby and B. Nick. Regularized Discriminative Direction for Shape Difference Analysis. Lecture Notes in Computer Science, Springer, the 11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pages 628-635, September 2008.

35.  L. Wang. Feature Subset Selection for Multi-class SVM Based Image Classification. Lecture Notes in Computer Science, Springer, the 8th Asian Conference on Computer Vision (ACCV), pages 145-154, November 2007.

36.  Y. Zhang, L. Wang, R. Hartley, and H. Li. Where’s the Weetbix?. Lecture Notes in Computer Science, Springer, the 8-th Asian Conference on Computer Vision (ACCV), pages 800-810, November 2007.

37.  K. Zhang, H. Jin, N. Liu, R. Lesslie, L. Wang, Z. Fu, and T. Caelli. Discovering Prediction Model for Environmental Distribution Maps. Lecture Notes in Computer Science, Springer, the book of Emerging Technologies in Knowledge Discovery and Data Mining, pages 99-109, November 2007.

38.  L. Wang. Toward A Discriminative Codebook: Codeword Selection across Multiresolution. the 2nd Beyond Patches Workshop, in conjunction with International Conference on Computer Vision and Pattern Recognition (CVPR), June 2007. (Oral presentation)

39.  L. Wang, H. Li, and R. Hartley. Video Local Pattern based Image Matching for Visual Mapping. In Proceedings of International Conference on Pattern Recognition (ICPR), vol. 3, pages 67–70, August 2006. (Oral presentation)

40.  H. Li, L. Wang, and R. Hartley. Auto-calibrate compound-type Omni-directional camera. In Proceedings of Conference on Digital Image Computing: Techniques and Applications (DICTA), Australia, pages 26-26, December 2005.

41.  Y. Gao, L. Wang, K. L. Chan, W.-Y. Yau, and P. Xue. Improving SVM-based content-based image retrieval through dynamically refreshed kernel learned with a fast and robust model selection criterion. In Proceedings of Asia-Pacific Workshop on Visual Information Processing, Hong kong, December 2005. (Oral presentation)

42.  L. Wang, X. Li, P. Xue, and K. L. Chan. A novel framework for SVM-based image retrieval on large databases. In Proceedings of the 13th ACM International Conference on Multimedia (ACMMM), pages 487–490, November 2005.

43.  L. Wang, Y. Gao, K. L. Chan, P. Xue, and W.-Y. Yau. Retrieval with knowledge-driven kernel design: an approach to improving SVM-based CBIR with relevance feedback. In Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV), pages 1355–1362, October 2005.

44.  Y. Gao, L. Wang, K. L. Chan, and W.-Y. Yau. Learning texture similarity with labels and pair-wise distances. In Proceedings of the 4th International Workshop on Texture Analysis and Synthesis, in conjunction with the 10th IEEE International Conference on Computer Vision (ICCV), pages 83–88, October 2005.

45.  X. Li, L. Wang, and E. Sung. A study of adaboost with SVM based weak learners. In Proceedings of International Joint Conference on Neural Networks (IJCNN), Quιbec, Canada, pages 196–201(1), August 2005. (Oral presentation)

46.  H. Kong, X. Li, L. Wang, E. K. Teoh, J.-G. Wang, and R. Venkateswarlu. Generalized 2D principal component analysis. In Proceedings of International Joint Conference on Neural Networks (IJCNN), Qu΄ebec, Canada, pages 108-113(1), August 2005. (Oral presentation)

47.  H. Kong, L. Wang, E. K. Teoh, J.-G. Wang, and R. Venkateswarlu. A framework of 2D fisher discriminant analysis: application to face recognition with small number of training samples. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pages 1083–1088, June 2005.

48.  Y. Wu, K. L. Chan, and L. Wang. Face recognition based on discriminative manifold learning. In Proceedings of International Conference on Patter Recognition (ICPR), Cambridge, United Kingdom, pages 171–174, 2004.

49.  L. Wang, P. Xue, and K. L. Chan. Incorporating prior knowledge into SVM for image retrieval. In Proceedings of International Conference on Patter Recognition (ICPR), Cambridge, United Kingdom, pages 981–984, 2004.

50.  A. Cao, Q. Song, X. Yang, and L. Wang. Breast mass segmentation based on information theory. In Proceedings of International Conference on Patter Recognition (ICPR), Cambridge, United Kingdom, pages 758–761, 2004.

51.  X. Li, L. Wang, and E. Sung. Multi-label SVM active learning for image classification. In Proceedings of International Conference on Image Processing (ICIP), Singapore, pages 2207–2210, 2004.

52.  H. Gao, X. Yu, L. Wang, P. Xue, and Q. Tian. Robust multi-level video representation using mean shift analysis. In Proceedings of IEEE International Conference on Multimedia and Expo (ICME), Taiwan, pages 627–630, 2004.

53.  X. Yu, L. Wang, Q. Tian, and P. Xue. Multi-level video representation with application to keyframe extraction. In Proceedings of IEEE International Conference on Multimedia Modelling (MMM), Brisbane, Australia, pages 117–123, 2004. (Oral presentation)

54.  X. Li, L. Wang, and E. Sung. Improving adaboost for classification on small training sample sets with active learning. In Proceedings of Asian Conference on Computer Vision (ACCV), Korea, 2004.

55.  L. Wang, K. L. Chan, and Y. P. Tan. Image retrieval with SVM active learning embedding Euclidean search. In Proceedings of IEEE International Conference on Image Processing (ICIP), Barcelona, Spain, pages 725–728, 2003. (Oral presentation)

56.  L. Wang, K. L. Chan, and Z. Zhang. Bootstrapping SVM active learning by incorporating unlabelled images for image retrieval. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 16-22 June 2003, Madison, WI, USA, pages 629–634, 2003. (Oral presentation)

57.  L. Wang and K. L. Chan. Learning kernel parameters by using class separability measure. In The sixth kernel machines workshop, in conjunction with Neural Information Processing Systems (NIPS), Whistler, Canada, 2002.

58.  L. Wang, K. L. Chan, and X. Xiong. A sub-vector weighting scheme for image retrieval with relevance feedback. In Proceedings of Asian Conference on Computer Vision (ACCV), Melbourne, Australia, 2002. (Oral presentation)

59.  X. Xiong, K. L. Chan, and L. Wang. An image database semantically structured based on automatic image annotation for content-based image retrieval. In Proceedings of Asian Conference on Computer Vision (ACCV), Melbourne, Australia, 2002. (Oral presentation)

60.  L. Wang and K. L. Chan. Bayesian Learning for Image Retrieval using Multiple Features. In Proceedings of Intelligent Data Engineering and Automated Learning (IDEAL), Hong kong, 2000. (Oral presentation)

61.  L. Wang and K. L. Chan. Bayesian Fusion: An Approach for Image Retrieval with Relevance Feedback using Multiple Features. In Proceedings of International Conference on Image and Vision Computing New Zealand (IVCNZ), Hamilton, New Zealand, 2000. (Oral presentation)

Demo

             Welcome to our WebMarket !    (The articles in ANU Reporter, ComputerWorld and Velocity)

             Webmarket.bmp   Webmarket_1.bmp   Webmarket_2.bmp     

             Content-based Image Retrieval with Relevance Feedback

           CBIR_Demo.bmp  CBIR_Demo_1.bmp  CBIR_Demo_2.bmp

            Human Motion Tracking (Video1, Video2)

            Human_motion_demo_2.bmp  Human_motion_demo.bmp  Human_motion_demo_1.bmp

Professional Service

           Technical Program Committee member / Area Chair

             Pacific-Rim Symposium on Image and Video Technology 2010 (Area Chair)

             International workshop on Machine Learning for Vision-based Motion Analysis 2009, 2011

             Special Track on CISIA, 26th ACM Symposium On Applied Computing 2011

             International Workshop on Feature Selection in Data Mining 2010

             International Conference on Natural Computation 2010, 2011

             International Symposium on Neural Networks 2010, 2011

             International workshop on Machine Learning for Vision-based Motion Analysis 2009

             International Conference on Image and Signal Processing 2009, 2011

             Asian Conference on Machine Learning 2009, 2010

             IEEE International Conference on Fuzzy Systems and Knowledge Discovery 2009, 2011

             International Conference of Image and Graphics 2007, 2009

             IEEE International Workshop on Multimedia Signal Processing 2008

           Reviewer

             IEEE Transactions on Pattern Analysis and Machine Intelligence

             IEEE Transactions on Circuits and Systems for Video Technology

             IEEE Transactions on Knowledge and Data Engineering

             IEEE Transactions on Neural Networks

             IEEE Transactions on Multimedia

             IEEE Transactions on Systems, Man and Cybernetics, Part B

             Computer Vision and Image Understanding

             Pattern Recognition

             Computerized Medical Imaging and Graphics

             Machine Vision and Applications

             Image and Vision Computing

             EURASIP Journal on Image and Video Processing

             EURASIP Journal on Advances in Signal Processing

             Neurocomputing

             Neural Processing Letters

             Advances in Multimedia

             Journal of Multimedia

             Journal of Visual Communication and Image Representation

             International Journal of Image and Graphics

            

             IEEE International Conference on Robotics and Automation (ICRA), 2011

             IEEE International Conference on Data Mining (ICDM), 2010

             International Conference on Pattern Recognition (ICPR), 2010

             International Conference on Image Processing (ICIP), 2010, 2011

             International Conference on Neural Information Processing Systems (NIPS), 2009

             IEEE International Conference on Multimedia and Expo (ICME), 2009

 

             Australian Research Council Discovery Project Scheme Proposal

Research Activity

           Attended and presented research work at

             Medical Image Computing and Computer Assisted Intervention (MICCAI), China, 2010

             AAAI Conference on Artificial Intelligence (AAAI), USA, 2010

             International Conference on Neural Information Processing Systems (NIPS), Canada, 2009

             European Conference on Computer Vision (ECCV), France, 2008

             Asian Conference on Computer Vision (ACCV), Japan, 2007

             International Conference on Pattern Recognition (ICPR), Hong Kong, 2006

             International Conference on Computer Vision (ICCV), China, 2005

             International Conference on Pattern Recognition (ICPR), UK, 2004

             International Conference on Image Processing (ICIP), Singapore, 2004

             International Conference on Image and Vision Computing (IVCNZ), New Zealand, 2000

             International Conference on Intelligent Data Eng. and Automated Learning, Hong Kong, 2000

 

             Visited and gave talks in             

 

             Probabilistic & Statistical Intelligence Lab, Zhejiang University, China, Sep 2010

             Department of Com. Sci and Elec. Eng., West Virginia University, USA, Aug 2010

             NEC Laboratories America, Cupertino Campus, USA, Aug 2010

             School of Comp., Info., and Decision Systems Eng., Arizona State University, USA, Aug 2009, 2010

             Biodesign Institute, Arizona State University, USA, Jul 2009

             School of EEE, Nanyang Technological University, Singapore, Jun 2008

             (Jointly organized by National University of Singapore, Nanyang Technological University, and IEEE Singapore Chapter)

             Institute for Infocomm Research, Singapore, Jun 2008

             Institute of Automation, Chinese Academy of Sciences, China, Jul 2008

             Learning Science Centre, Southeast University, China, Jul 2008

             Department of Electronic Engineering, Tsinghua University, China, Jul 2008

             Department of Automation, Shanghai Jiao Tong University, China, Jun 2008

             School of Computer Science, Fudan University, China, Jun 2008

             School of Design, Comm. and Info. Technology, The University of Newcastle, Australia, May 2008

             Dept. of Comp. Sci. and Eng., Hong Kong University of Science & Technology, Jan 2004

             Department of Electronic Engineering, Chinese University of Hong Kong, Jan 2004

             Department of Computer Science, Hong Kong Baptist University, Jan 2004

External Collaboration

             Imprezzeo Pty Ltd (Content-based News Picture Retrieval)

             National Archives of Australia (Analysis of Archival Photographic Collections, ARC Linkage Grant 09)

             Australian Institute of Sport (Human Motion Tracking, A PhD Scholarship to be jointly funded)

             NSW Guide Dogs (Object Recognition, In developing)

Membership

             Senior Member of IEEE (2010 -- ),  Member of IEEE (2007-- 2010),

             Member of MICCAI (2010-- )              

             Member of AAAI (2010-- )

             Member of IEEE Computer Society (2007-- )

             Member of ACM (2007-- )

             Member of Pattern Recognition and Machine Intelligence Association (PREMIA) Singapore (2004—2005)         

 

Last Update : 17-March-2011