The University of Western Australia

UWA Staff Profile

Ipsum Lorem

Dr Jin Wang

Research Associate
Computer Science and Software Engineering, School of

Contact details
Address
School of Computer Science and Software Engineering
The University of Western Australia (M002)
35 Stirling Highway
CRAWLEY WA 6009
Australia
Phone
+61 8 6488 3695
Email
jin.wang@uwa.edu.au
Qualifications
PhD Deakin
Biography
I am currently a Research Associate at the School of Computer Science and Software Engineering at The University of Western Australia in Perth, Australia. My research interests are in statistical computing and data mining. I got my PhD degree from Deakin University, Australia. My PhD research is to develop data mining and machine learning algorithms for biomedical time series .

-Knowledgeable on mathematical and statistics related areas include statistics, linear algebra and calculus.
-Expert knowledge of data mining algorithms and statistic models - typical, decision-making models, Bayesian models, regression model, probabilistic graphical models, information theory and neural networks.
-Extensive statistic programming skill: Matlab, R, SAS and C/C++.
Key research
Data mining and statistical computing; time series analysis
Publications
Journal
1. J. Wang et al., Patient Admission Prediction based on a Pruned Fuzzy Min-Max Neural Network with Rule Extraction, Journal of Neural Computation and Applications (accepted).
2. J. Wang, M. She, S. Nahavandi, and A. Kouzani, Human identification from ECG signals via sparse representation of local segments, IEEE Signal Processing Letters, vol. 20(10), pp. 937-940, 2013.
3. J. Wang, P. Liu, M. She, S. Nahavandi and A. Kouzani, Bag-of-words representation for biomedical time series classification, Biomedical Signal Processing and Control, Elsevier, vol. 8(6), pp. 634-644, 2013.
4. J. Wang, P. Liu, M. She, S. Nahavandi and A. Kouzani, Biomedical time series clustering based on non-negative sparse coding and topic model, Computer Methods and Programs in Biomedicine, Elsevier, vol. 111(3), pp. 629-641, 2013.
5. J. Wang, X. Sun, P. Liu, M. She, and L. Kong, Sparse representation of local spatial-temporal features with dimensionality reduction for motion recognition, Neurocomputing, Elsevier, vol. 115(4), pp. 150-160, 2013.
6. J. Wang, X. Sun, M. She, A. Kouzani and S. Nahavandi, Unsupervised mining of long time series based on latent topic model, Neurocomputing, Elsevier, vol. 103, pp. 93-103, 2013.
7. J. Wang, P. Liu, M. She, A. Kouzani and S. Nahavandi, Supervised learning probabilistic latent semantic analysis for human motion analysis, Neurocomputing, Elsevier, vol. 100, pp. 134-143, 2013.
8. X. Sun, J. Wang, M. She, and L. Kong, Scale invariant texture classification via sparse representation, Neurocomputing, Elsevier, vol. 122, pp. 338-348, 2013.
9. Y. Wu, R. Chen, J. Wang, X. Sun and M. She, Intelligent clothing for automated recognition of human physical activities in free-living environment, Journal of the Textile Institute, vol. 103(8), pp. 1-11, 2011.

Conference
10. J. Wang, X. Sun, R. Chen, M. She and Q. Wang, Object Categorization via Sparse Representation of Local Features, IEEE International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, 2012.
11. J. Wang, R. Chen, X. Sun, M. She and L. Kong, Generative models for automatic recognition of human daily activities from a single triaxial accelerometer, IEEE International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, 2012.
12. X.Sun, J. Wang, R. Chen, M. She and L. Kong, Multi-scale local pattern co-occurrence matrix for textural image classification, IEEE International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, 2012.
13. J. Wang, P. Liu, M. She, A. Kouzani and S. Nahavandi, Human action recognition based on pyramid histogram of oriented gradients, IEEE International Conference on Systems, Man and Cybernetics (SMC), Alaska, USA, 2011.
14. R. Chen, M. She, J. Wang, X. Sun and L. Kong, Driver verification based on handgrip recognition on steering wheel, IEEE International Conference on Systems, Man and Cybernetics (SMC), Alaska, USA, 2011.
15. J. Wang, P. Liu, M. She, and H. Liu, Human action categorization using conditional random field, IEEE Symposium Series on Computational Intelligence, Paris, France, 2011.
16. P. Liu, J. Wang, H. Liu and M. She, Human action recognition based on 3D SIFT and LDA model, IEEE Symposium Series on Computational Intelligence, Paris, France, 2011.
17. J. Wang, R. Chen, X. Sun and M. She, Recognizing human daily activities from accelerometer signal, Procedia Engineering, Elsevier, Dali, China, 2011 (From CEIS Conference 2011).
18. X. Sun, J. Wang, R. Chen, M. She and L. Kong, Directional Gaussian filter-based LBP descriptor for textural image classification, Procedia Engineering, Elsevier, Dali, China, 2011 (From CEIS Conference 2011).
19. J. Wang, M. She, A. Kouzani and S. Nahavandi, A review of vision-based gait recognition methods for human identification, IEEE Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia, 2010.
Languages
English, Mandarin
Current projects
Data mining for intelligent urban water system
Research profile
Research profile and publications
 

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Tuesday, 3 November, 2015 2:39 PM