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
2021
Conference Publication
Global convolutional neural processes
Wang, Xuesong, Yao, Lina, Wang, Xianzhi, Paik, Hye-Young and Wang, Sen (2021). Global convolutional neural processes. 21st IEEE International Conference on Data Mining (IEEE ICDM), Auckland, New Zealand, 7-10 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM51629.2021.00081
2021
Conference Publication
Self-attention enhanced patient journey understanding in healthcare system
Peng, Xueping, Long, Guodong, Shen, Tao, Wang, Sen and Jiang, Jing (2021). Self-attention enhanced patient journey understanding in healthcare system. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Ghent, Belgium, 14-18 September 2020. Cham, Switzerland: Springer Science and Business Media Deutschland. doi: 10.1007/978-3-030-67664-3_43
2021
Edited Outputs
Databases Theory and Applications : 32nd Australasian Database Conference, ADC 2021, Dunedin, New Zealand, January 29 – February 5, 2021, Proceedings
Qiao, Miao, Vossen, Gottfried, Wang, Sen and Li, Lei eds. (2021). Databases Theory and Applications : 32nd Australasian Database Conference, ADC 2021, Dunedin, New Zealand, January 29 – February 5, 2021, Proceedings. 32nd Australasian Database Conference, ADC 2021, Dunedin, New Zealand, January 29 – February 5 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-69377-0
2020
Conference Publication
BiteNet: bidirectional temporal encoder network to predict medical outcomes
Peng, Xueping, Long, Guodong, Shen, Tao, Wang, Sen, Jiang, Jing and Zhang, Chengqi (2020). BiteNet: bidirectional temporal encoder network to predict medical outcomes. IEEE International Conference on Data Mining (ICDM), Sorrento, Italy, 17-20 November 2020. Piscataway, NJ, United States: IEEE. doi: 10.1109/icdm50108.2020.00050
2020
Conference Publication
Memory-Based Network for Scene Graph with Unbalanced Relations
Wang, Weitao, Liu, Ruyang, Wang, Meng, Wang, Sen, Chang, Xiaojun and Chen, Yang (2020). Memory-Based Network for Scene Graph with Unbalanced Relations. MM '20: The 28th ACM International Conference on Multimedia, Seattle, WA United States, 12 - 16 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3394171.3413507
2020
Conference Publication
Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches
Chen, Zhi, Wang, Sen, Li, Jingjing and Huang, Zi (2020). Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches. MM '20: Proceedings of the 28th ACM International Conference on Multimedia, New York, NY USA, 12-16 October 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3394171.3413813
2020
Journal Article
Editorial for application-driven knowledge acquisition
Li, Xue, Wang, Sen and Li, Bohan (2020). Editorial for application-driven knowledge acquisition. World Wide Web, 23 (5), 2649-2651. doi: 10.1007/s11280-020-00827-6
2020
Conference Publication
ZSTAD: Zero-Shot Temporal Activity Detection
Zhang, Lingling, Chang, Xiaojun, Liu, Jun, Luo, Minnan, Wang, Sen, Ge, Zongyuan and Hauptmann, Alexander (2020). ZSTAD: Zero-Shot Temporal Activity Detection. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA United States, 13-19 June 2020. Piscataway, NJ United States: IEEE. doi: 10.1109/CVPR42600.2020.00096
2020
Conference Publication
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables
Zhang, Jiaqi, Wang, Meng, Li, Qinchi, Wang, Sen, Chang, Xiaojun and Wang, Beilun (2020). Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables. Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20), Yokohama, Japan, 7 - 15 January 2021. Palo Alto, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2020/410
2020
Journal Article
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition
Zhang, Dalin, Yao, Lina, Chen, Kaixuan, Wang, Sen, Chang, Xiaojun and Liu, Yunhao (2020). Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition. IEEE Transactions on Cybernetics, 50 (7) 8698218, 3033-3044. doi: 10.1109/TCYB.2019.2905157
2020
Conference Publication
Adaptive two-dimensional embedded image clustering
Li, Zhihui, Yao, Lina, Wang, Sen, Kanhere, Salil, Li, Xue and Zhang, Huaxiang (2020). Adaptive two-dimensional embedded image clustering. The Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, NY, United States, 7-12 February 2020. Palo Alto, CA, United States: AAAI Press.
2020
Conference Publication
One-Shot Learning for Long-Tail Visual Relation Detection
Wang, Weitao, Wang, Meng, Wang, Sen, Long, Guodong, Yao, Lina, Qi, Guilin and Chen, Yang (2020). One-Shot Learning for Long-Tail Visual Relation Detection. 34th AAAI Conference on Artificial Intelligence / 32nd Innovative Applications of Artificial Intelligence Conference / 10th AAAI Symposium on Educational Advances in Artificial Intelligence, New York, NY United States, 7-12 February 2020. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v34i07.6904
2019
Conference Publication
Collective protection: Preventing sensitive inferences via integrative transformation
Zhang, Dalin, Yao, Lina, Chen, Kaixuan, Long, Guodong and Wang, Sen (2019). Collective protection: Preventing sensitive inferences via integrative transformation. 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, 8-11 November 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2019.00197
2019
Conference Publication
Learning to hash for efficient search over incomplete knowledge graphs
Wang, Meng, Shen, Haomin, Wang, Sen, Yao, Lina, Jiang, Yinlin, Qi, Guilin and Chen, Yang (2019). Learning to hash for efficient search over incomplete knowledge graphs. 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, 8-11 November 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2019.00174
2019
Conference Publication
Temporal self-attention network for medical concept embedding
Peng, Xueping, Long, Guodong, Shen, Tao, Wang, Sen, Jiang, Jing and Blumenstein, Michael (2019). Temporal self-attention network for medical concept embedding. 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, 8-11 November 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2019.00060
2019
Journal Article
A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals
Zhang, Dalin, Yao, Lina, Chen, Kaixuan, Wang, Sen, Haghighi, Pari Delir and Sullivan, Caley (2019). A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals. IEEE Transactions On Neural Systems and Rehabilitation Engineering, 27 (11) 8847648, 2247-2253. doi: 10.1109/TNSRE.2019.2943362
2019
Conference Publication
Learning attentional temporal cues of brainwaves with spatial embedding for motion intent detection
Zhang, Dalin, Chen, Kaixuan, Jian, Debao, Yao, Lina, Wang, Sen and Li, Po (2019). Learning attentional temporal cues of brainwaves with spatial embedding for motion intent detection. 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, 8-11 November 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2019.00189
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
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.
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 - Inpatient Risk Prediction
Principal Advisor
Other advisors: Professor Kristen Gibbons, Dr Ruihong Qiu, Dr Sainath Raman
-
Doctor Philosophy
Information-Preserving Efficient Vision Transformers
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: 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
Towards Explainable Multi-source Multivariate Time-series Analysis
Principal Advisor
Other advisors: Professor Helen Huang, Dr Yadan Luo
-
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
Towards Efficient Pest Detection in Agriculture
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
The prediction, diagnosis, and severity estimation models for plant disease
Associate Advisor
-
Doctor Philosophy
Combating evolving deceptive fake visual information through deepfake detection
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
Understanding Human Intention and Performance
Associate Advisor
Other advisors: Dr Xin Yu
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
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