DrJunbin Gao 
Position: Associate Professor in Computing Science
Campus: Bathurst
Office: S15. 2.16
Mailing Address:
Charles Sturt University
School of Computing & Mathematics
Panorama Ave
BATHURST NSW 2795
Tel: +61 2 6338 4213
Fax: +61 2 6338 4649
Email: Junbin Gao 
Brief Biography
Junbin Gao graduated from Huazhong University of Science and Technology(HUST), Chinain 1982 with B.Sc. degree in Computational Mathematics and obtained PhD fromDalian University of Technology, China in 1991. In July of 2005, he joined theSchool of Information Technology (now Accounting and Computer Science) atCharles Sturt University, Australia, as an Associate Professor in ComputingScience. He was a senior lecturer, a lecturer in Computer Science from 2001 to2005 at University of New England, Australia. From 1982 to 2001 he was an associatelecturer, lecturer, associate professor and professor in Department ofMathematics at HUST. His main research interests include machine learning,kernel method, Bayesian learning and inference, and image processing. Dr. Gao has published over 100 papers and twobooks on machine learning, pattern recognition and Bayesian inference.
Research Focus
Neural Network and Neural Computation
Machine Learning and Artificial Intelligence
Statistical Modelling (Nonparametric and Bayesian Methods)
Data Mining with Machine Learning Methods
Image Processing and Object Recognition
Dimensionality Reduction
Teaching Responsibilities
ITC230 Introduction to Web Development
ITC322 Data Structure
ITC313 Programming in Java 2
ITC527 Concurrent Programming
MTH129 Discrete Mathematics
MTH220 Ordinary Differential Equations
Administrative Responsiblities
IT/Computing Discipline Leader (Sub-Dean)
Chair of School Research Committee
Postgraduate (Research) Course Coordinator
Memberof the Faculty Research Committee
Professional Activities
Journal Reviewer for
IEEE Transactions on NeuralNetworks
IEEE Transactions on System,Man and Cybernetics, Part A and Part B
Neurocomputing
Journal of Machine LearningResearch
Journal of Knowledge and InformationSystems
Pattern Recognition Letters
International Journal ofComputer Vision
International Journal ofSystems Science
Selected Publications
Books
- F.T. Chau, Y.Z Liang, J. Gao and S. Zhao, Chemometrics: From Basic to Wavelet Transform, Vol.164 Chemical Analysis Series, by John Wiley & Sons, ISBN 0-471-20242-8, 2004.
- Kok-Leong Ong, Wenyuan Li and Junbin Gao, The proceedings of the 2nd International Workshop on Integrating AI and Data Mining (AIDM 2007), Gold Coast, Australia. December 2007, ISBN 978-1-920682-65-1, ISSN 1445-1336 (Vol. 84).
Book Chapter
- Gao,Junbin and Lei Zhang, The Error Bar Estimation for the Soft Classification with Gaussian Process Models, in Applied Soft Computing Technologies: The Challenge of Complexity, series of Advances in Soft Computing, Vol.XXXIII (2006), editors: Abraham, A.; Baets, B.; Koeppen, M. and Nickolay,B., pp669-677. ISSN: 1615-3871
Refereed Journal Articles
- Y. Guo, J. Gao and P. Kwan, Twin Kernel Embedding, accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear in 2008
- J. Gao, P. Kwan and Y. Guo, Robust Multivariate L1 Principal Component Analysis and Dimensionality Reduction, accepted by Neurocomputing
- J. Gao, D.M. Shi and X.M. Liu, Critical Vector Learning to Construct Sparse
- Kernel Regression Modelling, Neural Networks, Vol 20 (2007), No. 7, pp 791-798.
- J. Gao, Robust L1 Principal Component Analysis and Its Bayesian Variational Inference, Neural Computation, Vol.20:2 (2008), pp555-572.
- T. Tian, S. Xu, J. Gao and K. Burrage, Simulated maximum likelihood method for estimating kinetic rates in gene expression, Bioinformatics, Vol.23 (2007), pp 84-91.
- D. Shi, D.S. Yeung and J. Gao, Sensitivity analysis applied to the construction of radial basis function networks, Neural Networks, Vol. 18(2005), p951-957.
- J. Gao, S.R. Gunn and C.J. Harris, Mean Field Method for the SVM Regression, Neurocomputing, Vol. 50 (2003), 391-405.
- J. Gao, S.R. Gunn and C.J. Harris, SVM Regression through Variational Methods and Its Sequential Implementation, Neurocomputing, Vol.55 (2003), pp151-167.
- J. Gao, S.R. Gunn, C.J. Harris and M.Q. Brown, A Probabilistic Framework for SVM Regression and Error Bar Estimation, Machine Learning, Vol.46 (2002), pp 71-89.
- J. Gao and C.J. Harris), Adaptive Multiscale Basis Method for Modelling Discretetime Nonlinear Dynamic Systems, International Journal of Control, Vol.75, No.3 (2002), pp 141-153.
- J. Gao and C.J. Harris, Some Remarks on Kalman Filters for the Multisensor Fusion, Information Fusion Journal, Vol.3 (2002), 191-201.
- J. Gao, C.J. Harris and S.R. Gunn, On a Class of Support Vector Kernels Based
- on Frames in Function Hilbert Spaces, Neural Computation, Vol.13, No.9 (2001), pp 1975-1994.
Refereed Conference Proceedings (2007)
- J. Gao and R. Xu, Mixture of the Robust L1 Distributions and Its Applications, Lecture Notes in Artificial Intelligence, Vol. 4830 (2007), pp26-35, a full paper in Australian AI 2007 (31% acceptance rate)
- Y. Guo, J. Gao and P. Kwan, Twin kernel embedding with relaxed constraints on dimensionality reduction for structured data, Lecture Notes in Artificial Intelligence, Vol. 4830 (2007), pp659-663, a short paper in AI 2007 (63% acceptance rate)
- Y. Guo, J. Gao and P. Kwan, Twin Kernel Embedding with Back Constraints, Workshop Proceeding of International Conference on Data Mining 2007, Oct 28-31 2007, Omaha NE, USA, pp. 319-324. DOI: 10.1109/ICDMW.2007.112
- J. Gao, P. Kwan and Y. Guo, Robust L1 PCA and Its Application in Image Denoising, Proceedings of SPIE, Volume 6786: MIPPR 2007 (Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition), Tianxu Zhang, Carl A. Nardell, Duane D. Smith, Hangqing Lu, Editors, 67860T, Nov. 15, 2007, doi:10.1117/12.774719
- P. Kwan, J. Gao and Y. Guo, A Learning Framework for Examiner-Centric Fingerprint Classification using Spectral Features, Proceedings of SPIE, Vol.6788, : MIPPR 2007 (Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition), Tianxu Zhang, Carl A. Nardell, Duane D. Smith, Hangqing Lu, Editors, 67881H, doi:10.1117/12.749777
- Y. Guo and J. Gao, Integration of Shape Context and Semigroup Kernel in image classification, in Proceedings of the Sixth International Conference on Machine Learning and Cybernetics (ICMLC’07), Hong Kong, 19-22 August 2007, pp181-186.
- Y. Guo, J. Gao and P. Kwan, Learning Out-of-Sample Mapping in Non-vectorial Data Reduction using Constrained Twin Kernel Embedding, in Proceedings of the Sixth International Conference on Machine Learning and Cybernetics (ICMLC’07), Hong Kong, 19-22,August 2007, pp19-24.
- Y. Guo, J. Gao and P. Kwan, Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints, Lecture Notes in Artificial Intelligence, Vol. 4632 (2007), pp227-238, Proceeding of ADMA 2007.
Research Project Supervision
Machine Learning
Statistical Learning
Pattern Recognition
Classification
Data Mining
Image Processing
Computer Visualization
Current Research Students
PhD Students
Mr. Wang Haipeng
Mr. Yi Guo
Mr. Geoff Fellows
DIT Students
Mr. Andrew Phipps
Mr. Graham Seach
Mr. Campbell Gunn
Master Student (Research)
Mr. Adrian O’Connor
Grants and Awards
- Non-vectorialkernel machine and its application in active shape modelling, supported bythe National Natural Science Foundation of China, Grant no. 60373090,2004–2006, Chinese RMB 220,000.
- NewKernel Approaches to Gene Function Prediction, supported by the research grant of the Universityof New England, Australia, 2005, $10,000
- Investigationinto Shape Kernels, ARC Project Development Grant of Charles Sturt University, Australia,2005, $4,000
- Investigationof Imaging Techniques to Determine Muck Pile Ore Fragment Size In-Situ, Newcrest Mine Australia, 2008-2010, $910,000