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
2019
Conference Publication
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
Chen, Kaixuan, Yao, Lina, Zhang, Dalin, Chang, Xiaojun, Long, Guodong and Wang, Sen (2019). Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, HI United States, 27 January – 1 February 2019. Menlo Park, CA United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/aaai.v33i01.33013321
2019
Journal Article
Systematic review and meta-analysis of the association between dimensions of inequality and a selection of indicators of Reproductive, Maternal, Newborn and Child Health (RMNCH)
Adegbosin, Adeyinka E., Zhou, Hong, Wang, Sen, Stantic, Bela and Sun, Jing (2019). Systematic review and meta-analysis of the association between dimensions of inequality and a selection of indicators of Reproductive, Maternal, Newborn and Child Health (RMNCH). Journal of Global Health, 9 (1) 010429, 1-13. doi: 10.7189/jogh.09.010429
2019
Conference Publication
Detecting suicidal ideation with data protection in online communities
Ji, Shaoxiong, Long, Guodong, Pan, Shirui, Zhu, Tianqing, Jiang, Jing and Wang, Sen (2019). Detecting suicidal ideation with data protection in online communities. DASFAA 2019: Database Systems for Advanced Applications , Chiang Mai, Thailand, 22-25 April, 2019. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-18590-9_17
2019
Conference Publication
Deep interpretable mortality model for intensive care unit risk prediction
Shi, Zhenkun, Chen, Weitong, Liang, Shining, Zuo, Wanli, Yue, Lin and Wang, Sen (2019). Deep interpretable mortality model for intensive care unit risk prediction. International Conference on Advanced Data Mining and Applications, Dalian, China, 21-23 November 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-35231-8_45
2019
Journal Article
Preface
Li, Jianxin and Wang, Sen (2019). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11888 LNAI, v-vi.
2019
Edited Outputs
Advanced Data Mining and Applications : 15th International Conference, ADMA 2019, Dalian, China, Proceedings
Li, Jianxin, Wang, Sen, Qin, Shaowen, Li, Xue and Wang, Shuliang eds. (2019). Advanced Data Mining and Applications : 15th International Conference, ADMA 2019, Dalian, China, Proceedings. 15th International Conference, ADMA 2019, Dalian, China, 21–23 November 2019. Cham, Switzerland: Springer.
2018
Conference Publication
Ready for Use : Subject-Independent Movement Intention Recognition via a Convolutional Attention Model
Zhang, Dalin, Yao, Lina, Chen, Kaixuan and Wang, Sen (2018). Ready for Use : Subject-Independent Movement Intention Recognition via a Convolutional Attention Model. CIKM '18: The 27th ACM International Conference on Information and Knowledge Management, Torino, Italy, 22 - 26 October 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3269206.3269259
2018
Journal Article
Behavior-Interior-Aware User Preference Analysis Based on Social Networks
Wang, Can, Bo, Tao, Zhao, Yun Wei, Chi, Chi-Hung, Lam, Kwok-Yan, Wang, Sen and Shu, Min (2018). Behavior-Interior-Aware User Preference Analysis Based on Social Networks. Complexity, 2018 (1) 7371209, 1-18. doi: 10.1155/2018/7371209
2018
Conference Publication
A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter
Zhao, Yunwei, Wang, Can, Chi, Chi-Hung, Lam, Kwok-Yan and Wang, Sen (2018). A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13-19 July 2018. Los Angeles, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2018/169
2018
Conference Publication
NeuRec: On Nonlinear Transformation for Personalized Ranking
Zhang, Shuai, Yao, Lina, Sun, Aixin, Wang, Sen, Long, Guodong and Dong, Manqing (2018). NeuRec: On Nonlinear Transformation for Personalized Ranking. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13-19 July 2018. Los Angeles, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2018/510
2018
Conference Publication
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling
Shen, Tao, Zhou, Tianyi, Long, Guodong, Jiang, Jing, Wang, Sen and Zhang, Chengqi (2018). Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13-19 July 2018. Los Angeles, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2018/604
2018
Conference Publication
Multi-modality Sensor Data Classification with Selective Attention
Zhang, Xiang, Yao, Lina, Huang, Chaoran, Wang, Sen, Tan, Mingkui, Long, Guodong and Wang, Can (2018). Multi-modality Sensor Data Classification with Selective Attention. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13-19 July 2018. Los Angeles, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2018/432
2018
Conference Publication
Trace ratio optimization with feature correlation mining for multiclass discriminant analysis
Boroujeni, Forough Rezaei, Wang, Sen, Li, Zhihui, West, Nicholas, Stantic, Bela, Yao, Lina and Long, Guodong (2018). Trace ratio optimization with feature correlation mining for multiclass discriminant analysis. 32nd AAAI Conference on Artificial Intelligence, New Orleans, LA, United States, 2 - 7 February 2018. Palo Alto, CA United States: AAAI press. doi: 10.1609/aaai.v32i1.11805
2018
Journal Article
Compressive representation for device-free activity recognition with passive RFID signal strength
Yao, Lina, Sheng, Quan Z., Li, Xue, Gu, Tao, Tan, Mingkui, Wang, Xianzhi, Wang, Sen and Ruan, Wenjie (2018). Compressive representation for device-free activity recognition with passive RFID signal strength. IEEE Transactions On Mobile Computing, 17 (2) 7938705, 293-306. doi: 10.1109/TMC.2017.2706282
2018
Conference Publication
EEG-based motion intention recognition via multi-task RNNs
Chen, Weitong, Wang, Sen, Zhang, Xiang, Yao, Lina, Yue, Lin, Qian, Buyue and Li, Xue (2018). EEG-based motion intention recognition via multi-task RNNs. 2018 SIAM International Conference on Data Mining, SDM 2018, San Diego, CA, United States, 3-5 May 2018. Society for Industrial and Applied Mathematics Publications. doi: 10.1137/1.9781611975321.32
2018
Conference Publication
Fuzzy integral optimization with deep Q-network for EEG-based intention recognition
Zhang, Dalin, Yao, Lina, Wang, Sen, Chen, Kaixuan, Yang, Zheng and Benatallah, Boualem (2018). Fuzzy integral optimization with deep Q-network for EEG-based intention recognition. 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, 25–28 May 2023. Weinheim, Germany: Springer. doi: 10.1007/978-3-319-93034-3_13
2018
Conference Publication
Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interface
Zhang, Dalin, Yao, Lina, Zhang, Xiang, Wang, Sen, Chen, Weitong and Boots, Robert (2018). Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interface. 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, LA, United States, 2-7 February 2018. Palo Alto, CA, United States: AAAI press. doi: 10.1609/aaai.v32i1.11496
2018
Conference Publication
Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit
Chen, Weitong, Wang, Sen, Long, Guodong, Yao, Lina, Sheng, Quan Z. and Li, Xue (2018). Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. 18th IEEE International Conference on Data Mining, ICDM 2018, Singapore, 17 - 20 November 2018. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2018.00111
2017
Journal Article
Answering why-not questions on semantic multimedia queries
Wang, Meng, Chen, Weitong, Wang, Sen, Liu, Jun, Li, Xue and Stantic, Bela (2017). Answering why-not questions on semantic multimedia queries. Multimedia Tools and Applications, 77 (3), 3405-3429. doi: 10.1007/s11042-017-5151-6
2017
Journal Article
Multi-factors based sentence ordering for cross-document fusion from multimodal content
Yue, Lin, Shi, Zhenkun, Han, Jiayu, Wang, Sen, Chen, Weitong and Zuo, Wanli (2017). Multi-factors based sentence ordering for cross-document fusion from multimodal content. Neurocomputing, 253, 6-14. doi: 10.1016/j.neucom.2016.12.084
Funding
Current funding
Past funding
Supervision
Availability
- Associate Professor Sen Wang is:
- Available for supervision
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Supervision history
Current supervision
-
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
Towards Explainable Multi-source Multivariate Time-series Analysis
Principal Advisor
Other advisors: Associate Professor Jiajun Liu, Dr Ruihong Qiu
-
Doctor Philosophy
Information-Preserving Efficient Vision Transformers
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 Efficient Pest Detection in Agriculture
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
Combating evolving deceptive fake visual information through deepfake detection
Associate Advisor
Other advisors: Dr Xin Yu
-
Doctor Philosophy
Short Sequence Representation Learning with Limited Supervision
Associate Advisor
Other advisors: Professor Xue Li
-
Doctor Philosophy
Understanding Human Intention and Performance
Associate Advisor
Other advisors: Dr Xin Yu
Completed supervision
-
2025
Doctor Philosophy
Towards Practical Adaptation to Domain Shift in Deep Vision Learning
Principal Advisor
Other advisors: Professor Helen Huang, Dr Yadan Luo
-
2025
Doctor Philosophy
Simplifying Representations, Models, and Datasets for Efficient Visual Learning
Principal Advisor
Other advisors: Associate Professor Jiajun Liu
-
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
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