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
Journal Article
Scalable estimator for multi-task gaussian graphical models based in an IoT network
Wang, Beilun, Zhang, Jiaqi, Zhang, Yan, Wang, Meng and Wang, Sen (2021). Scalable estimator for multi-task gaussian graphical models based in an IoT network. ACM Transactions on Sensor Networks, 17 (3) 3432312, 1-33. doi: 10.1145/3432312
2021
Journal Article
Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach
Hu, Mingwei, Tan, Qiyang, Knibbe, Ruth, Wang, Sen, Li, Xue, Wu, Tianqi, Jarin, Sams and Zhang, Ming-Xing (2021). Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach. Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science, 52 (7), 2873-2884. doi: 10.1007/s11661-021-06279-5
2021
Journal Article
Explaining similarity for SPARQL queries
Wang, Meng, Chen, Kefei, Xiao, Gang, Zhang, Xinyue, Chen, Hongxu and Wang, Sen (2021). Explaining similarity for SPARQL queries. World Wide Web, 24 (5), 1813-1835. doi: 10.1007/s11280-021-00886-3
2021
Journal Article
Exploring BCI control in smart environments: intention recognition via EEG representation enhancement learning
Yue, Lin, Shen, Hao, Wang, Sen, Boots, Robert, Long, Guodong, Chen, Weitong and Zhao, Xiaowei (2021). Exploring BCI control in smart environments: intention recognition via EEG representation enhancement learning. ACM Transactions on Knowledge Discovery from Data, 15 (5) 3450449, 1-20. doi: 10.1145/3450449
2021
Journal Article
SMR: medical knowledge graph embedding for safe medicine recommendation
Gong, Fan, Wang, Meng, Wang, Haofen, Wang, Sen and Liu, Mengyue (2021). SMR: medical knowledge graph embedding for safe medicine recommendation. Big Data Research, 23 100174, 100174. doi: 10.1016/j.bdr.2020.100174
2021
Conference Publication
Sequential diagnosis prediction with transformer and ontological representation
Peng, Xueping, Long, Guodong, Shen, Tao, Wang, Sen and Jiang, Jing (2021). Sequential diagnosis prediction with transformer and ontological representation. 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/ICDM51629.2021.00060
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
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
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
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
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
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
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
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
Funding
Current funding
Past funding
Supervision
Availability
- Associate Professor Sen Wang is:
- Available for supervision
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Supervision history
Current supervision
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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
Short Sequence Representation Learning with Limited Supervision
Principal Advisor
Other advisors: Professor Xue Li, Associate Professor Jiajun Liu
-
Doctor Philosophy
Towards Explainable Multi-source Multivariate Time-series Analysis
Principal Advisor
Other advisors: Associate Professor Jiajun Liu
-
Doctor Philosophy
Data-Driven Crop Breeding: Enhancing Disease Resistance through Vision-based Digital Phenotyping
Principal Advisor
Other advisors: Dr Millicent Smith, Professor Helen Huang, Dr Ruihong Qiu
-
Doctor Philosophy
Adaptive Reinforcement Learning for Practical Decision Making
Principal Advisor
Other advisors: Associate Professor Jiajun Liu, Dr Ruihong Qiu
-
Doctor Philosophy
AI-guided prediction of genomic breeding values for yield and vigour in macadamia
Associate Advisor
Other advisors: Professor Lee Hickey, Dr Eric Dinglasan, Dr Mobashwer Alam
-
Doctor Philosophy
Short Sequence Representation Learning with Limited Supervision
Associate Advisor
Other advisors: Professor Xue Li
-
Doctor Philosophy
Effective Visual Data Compression
Associate Advisor
Other advisors: Dr Heming Du, Associate Professor Xin Yu
-
Doctor Philosophy
Understanding Human Intention and Performance
Associate Advisor
Other advisors: Associate Professor Xin Yu
-
Doctor Philosophy
Human Understanding in Sports
Associate Advisor
Other advisors: Dr Heming Du, Associate Professor Xin Yu
-
Doctor Philosophy
Object-Centric Audio-Visual Alignment for Sounding Source Segmentation
Associate Advisor
Other advisors: Associate Professor Xin Yu
Completed supervision
-
2025
Doctor Philosophy
Information-Preserving Efficient Vision Transformers
Principal Advisor
Other advisors: Associate Professor Jiajun Liu
-
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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