Overview
Background
Dr Sen Wang is an ARC DECRA Senior Research Fellow and Senior Lecturer in computer science and data science at the School of Information Technology and Electrical Engineering at UQ. He is also a CI on several health data analytics research grants. Sen has an interest in ICU data and has clinical collaborations with RBWH and Children’s Hospital. Dr Wang received his PhD degree in 2014 and his research interest includes various topics on Feature Selection, Semi-supervised Learning, Deep Learning, Pattern Recognition, Data Mining, and Health Informatics. Since 2010, Dr Wang has published 80+ academic papers in top conferences and journals. Most were published in internationally renowned journals and conferences in the fields of data science, data mining, and machine learning, such as Algorithmica, TNNLS, TMC, TKDE, TCYB, TMM, WWWJ, Signal Processing, ACM TOMM, ACM MM, IJCAI, AAAI, SDM, CIKM, CVPR, ICCV, ICDM, ISWC, ECML-PKDD, PAKDD, ICONIP, ICPADS, and WISE, all CORE A/A* journals and conferences.
Availability
- Associate Professor Sen Wang is:
- Available for supervision
Fields of research
Qualifications
- Doctor of Philosophy, The University of Queensland
Works
Search Professor Sen Wang’s works on UQ eSpace
2014
Conference Publication
Semi-supervised feature analysis for multimedia annotation by mining label correlation
Chang, Xiaojun, Shen, Haoquan, Wang, Sen, Liu, Jiajun and Li, Xue (2014). Semi-supervised feature analysis for multimedia annotation by mining label correlation. 18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2014, Tainan, Taiwan, 13 - 16 May 2014. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-06605-9_7
2014
Other Outputs
Effective Algorithms for Human Action Recognition
Wang, Sen (2014). Effective Algorithms for Human Action Recognition. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland.
2014
Conference Publication
Mining personal health index from annual geriatric medical examinations
Chen, Ling, Li, Xue, Wang, Sen, Hu, Hsiao-Yun, Huang, Nicole, Sheng, Quan Z. and Sharaf, Mohamed (2014). Mining personal health index from annual geriatric medical examinations. 2014 IEEE International Conference on Data Mining, Shenzhen, China, 14-17 December 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDM.2014.32
2013
Journal Article
Human action recognition based on semi-supervised discriminant analysis with global constraint
Zhao, Xin, Li, Xue, Pang, Chaoyi and Wang, Sen (2013). Human action recognition based on semi-supervised discriminant analysis with global constraint. Neurocomputing, 105, 45-50. doi: 10.1016/j.neucom.2012.04.038
2013
Conference Publication
Fall detection in multi-camera surveillance videos: experimentations and observations
Wang, Sen, Xu, Zhongwen, Yang, Yi, Li, Xue, Pang, Chaoyi and Haumptmann, Alexander G. (2013). Fall detection in multi-camera surveillance videos: experimentations and observations. 1st ACM International Workshop on Multimedia Indexing and Information Retrieval for Heathcare (MIIRH 2013), Barcelona, Spain, 22 October 2013. New York, United States: ACM. doi: 10.1145/2505323.2505331
2013
Conference Publication
Effective approaches in human action recognition
Li, Xue, Sheng, Quan Z., Pang, Chaoyi, Zhao, Xin and Wang, Sen (2013). Effective approaches in human action recognition. 2013 International Conference on Advanced Computer Science and Information Systems (ICACSIS), Bali, Indonesia, 28-29 September 2013. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICACSIS.2013.6761544
2013
Journal Article
Computing Unrestricted Synopses Under Maximum Error Bound
Pang, Chaoyi, Zhang, Qing, Zhou, Xiaofang, Hansen, David, Wang, Sen and Maeder, Anthony (2013). Computing Unrestricted Synopses Under Maximum Error Bound. Algorithmica, 65 (1), 1-42. doi: 10.1007/s00453-011-9571-9
2013
Conference Publication
Online action recognition by template matching
Zhao, Xin, Wang, Sen, Li, Xue and Zhang, Hao Lan (2013). Online action recognition by template matching. 2nd International Conference on Health Information Science, HIS 2013, London, United Kingdom, 25-27 March 2013. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-37899-7_25
2012
Conference Publication
On the prediction of re-tweeting activities in social networks – a report on WISE 2012 Challenge
Unankard, Sayan, Chen, Ling, Li, Peng, Wang, Sen, Huang, Zi, Sharaf, Mohamed A. and Li, Xue (2012). On the prediction of re-tweeting activities in social networks – a report on WISE 2012 Challenge. 13th International Conference on Web Information Systems Engineering (WISE 2012), Paphos, Cyprus, 28 - 30 November 2012. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-35063-4_61
2012
Conference Publication
Action recognition by exploring data distribution and feature correlation
Wang, Sen, Yang, Yi, Ma, Zhigang, Li, Xue, Pang, Chaoyi and Hauptmann, Alexander G. (2012). Action recognition by exploring data distribution and feature correlation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, United States, 16-21 June 2012. Washington, DC, United States: I E E E Computer Society. doi: 10.1109/CVPR.2012.6247823
Funding
Current funding
Past funding
Supervision
Availability
- Associate Professor Sen Wang is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Towards Explainable Multi-source Multivariate Time-series Analysis
Principal Advisor
Other advisors: Associate Professor Jiajun Liu
-
Doctor Philosophy
Simplifying Representations, Models, and Datasets for Efficient Visual Learning
Principal Advisor
Other advisors: Associate Professor Jiajun Liu
-
Doctor Philosophy
Towards Explainable Multi-source Multivariate Time-series Analysis
Principal Advisor
Other advisors: Professor Helen Huang, Dr Yadan Luo
-
Doctor Philosophy
Information-Preserving Efficient Vision Transformers
Principal Advisor
Other advisors: Associate Professor Jiajun Liu
-
Doctor Philosophy
Expanding Data Sets to Allow Improved Critical Care for Children - Outpatient Risk Prediction
Principal Advisor
Other advisors: Professor Shazia Sadiq, Associate Professor Adam Irwin
-
Doctor Philosophy
Towards Explainable Multi-source Multivariate Time-series Analysis
Principal Advisor
Other advisors: Associate Professor Jiajun Liu
-
Doctor Philosophy
Short Sequence Representation Learning with Limited Supervision
Principal Advisor
Other advisors: Professor Xue Li, Associate Professor Jiajun Liu
-
Doctor Philosophy
Towards Practical Adaptation to Domain Shift in Deep Vision Learning
Principal Advisor
Other advisors: Professor Helen Huang, Dr Yadan Luo
-
Doctor Philosophy
Towards Explainable Multi-source Multivariate Time-series Analysis
Principal Advisor
Other advisors: Associate Professor Jiajun Liu
-
Doctor Philosophy
Expanding Data Sets to Allow Improved Critical Care for Children - Inpatient Risk Prediction
Principal Advisor
Other advisors: Professor Kristen Gibbons, Dr Ruihong Qiu, Dr Sainath Raman
-
Doctor Philosophy
Towards Explainable Multi-source Multivariate Time-series Analysis
Principal Advisor
Other advisors: Associate Professor Jiajun Liu, Dr Ruihong Qiu
-
Doctor Philosophy
Short Sequence Representation Learning with Limited Supervision
Associate Advisor
Other advisors: Professor Xue Li
-
Doctor Philosophy
Towards Efficient Pest Detection in Agriculture
Associate Advisor
Other advisors: Dr Xin Yu
-
Doctor Philosophy
Combating evolving deceptive fake visual information through deepfake detection
Associate Advisor
Other advisors: Dr Xin Yu
-
Doctor Philosophy
Understanding Human Intention and Performance
Associate Advisor
Other advisors: Dr Xin Yu
-
Doctor Philosophy
The prediction, diagnosis, and severity estimation models for plant disease
Associate Advisor
Other advisors: Dr Xin Yu
-
Doctor Philosophy
The prediction, diagnosis, and severity estimation models for plant disease
Associate Advisor
Completed supervision
-
2023
Doctor Philosophy
Generalising to the Unseen - Zero-Shot Learning via Generative Modelling for Visual Recognition
Associate Advisor
Other advisors: Professor Helen Huang
Media
Enquiries
For media enquiries about Associate Professor Sen Wang's areas of expertise, story ideas and help finding experts, contact our Media team: