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
2022
Edited Outputs
AI 2021: Advances in Artificial Intelligence : 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings
Long, Guodong, Yu, Xinghuo and Wang, Sen eds. (2022). AI 2021: Advances in Artificial Intelligence : 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings. 34th Australasian Joint Conference of Advances in Artificial Intelligence AI 2021, Sydney, NSW Australia, 2–4 February 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-97546-3
2022
Journal Article
Information resilience: the nexus of responsible and agile approaches to information use
Sadiq, Shazia, Aryani, Amir, Demartini, Gianluca, Hua, Wen, Indulska, Marta, Burton-Jones, Andrew, Khosravi, Hassan, Benavides-Prado, Diana, Sellis, Timos, Someh, Ida, Vaithianathan, Rhema, Wang, Sen and Zhou, Xiaofang (2022). Information resilience: the nexus of responsible and agile approaches to information use. The VLDB Journal, 31 (5), 1059-1084. doi: 10.1007/s00778-021-00720-2
2022
Conference Publication
Preface
Long, Guodong, Yu, Xinghuo and Wang, Sen (2022). Preface. 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, 2-4 February 2022. Cham, Switzerland: Springer Nature Switzerland.
2022
Conference Publication
InDISP: an interpretable model for dynamic illness severity prediction
Ma, Xinyu, Wang, Meng, Liu, Xing, Yang, Yifan, Zheng, Yefeng and Wang, Sen (2022). InDISP: an interpretable model for dynamic illness severity prediction. 27th International Conference, DASFAA 2022, Virtual, 11-14 April 2022. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-031-00126-0_46
2022
Conference Publication
Improved feature distillation via projector ensemble
Chen, Yudong, Wang, Sen, Liu, Jiajun, Xu, Xuwei, de Hoog, Frank and Huang, Zi (2022). Improved feature distillation via projector ensemble. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, United States, 29 November-1 December 2022. New Orleans, LA, United States: Neural information processing systems foundation.
2022
Journal Article
Uncertainty estimation with neural processes for meta-continual learning
Wang, Xuesong, Yao, Lina, Wang, Xianzhi, Paik, Hye-Young and Wang, Sen (2022). Uncertainty estimation with neural processes for meta-continual learning. IEEE Transactions on Neural Networks and Learning Systems, 34 (10), 6887-6897. doi: 10.1109/tnnls.2022.3215633
2021
Journal Article
Deep dynamic imputation of clinical time series for mortality prediction
Shi, Zhenkun, Wang, Sen, Yue, Lin, Pang, Lixin, Zuo, Xianglin, Zuo, Wanli and Li, Xue (2021). Deep dynamic imputation of clinical time series for mortality prediction. Information Sciences, 579, 607-622. doi: 10.1016/j.ins.2021.08.016
2021
Conference Publication
CausalRec: causal inference for visual debiasing in visually-aware recommendation
Qiu, Ruihong, Wang, Sen, Chen, Zhi, Yin, Hongzhi and Huang, Zi (2021). CausalRec: causal inference for visual debiasing in visually-aware recommendation. MM '21: ACM Multimedia Conference, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475266
2021
Conference Publication
Is visual context really helpful for knowledge graph? A representation learning perspective
Wang, Meng, Wang, Sen, Yang, Han, Zhang, Zheng, Chen, Xi and Qi, Guilin (2021). Is visual context really helpful for knowledge graph? A representation learning perspective. 29th ACM International Conference on Multimedia, Virtual, 20-24 October 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3474085.3475470
2021
Conference Publication
Mitigating Generation Shifts for Generalized Zero-Shot Learning
Chen, Zhi, Luo, Yadan, Wang, Sen, Qiu, Ruihong, Li, Jingjing and Huang, Zi (2021). Mitigating Generation Shifts for Generalized Zero-Shot Learning. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3474085.3475258
2021
Conference Publication
Semantics disentangling for generalized zero-shot learning
Chen, Zhi, Luo, Yadan, Qiu, Ruihong, Wang, Sen, Huang, Zi, Li, Jingjing and Zhang, Zheng (2021). Semantics disentangling for generalized zero-shot learning. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccv48922.2021.00859
2021
Conference Publication
Local graph convolutional networks for cross-modal hashing
Chen, Yudong, Wang, Sen, Lu, Jianglin, Chen, Zhi, Zhang, Zheng and Huang, Zi (2021). Local graph convolutional networks for cross-modal hashing. ACM International Conference on Multimedia, Chengdu, China (Virtual), 20-24 October 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3474085.3475346
2021
Journal Article
Efficient search over incomplete knowledge graphs in binarized embedding space
Wang, Meng, Chen, Weitong, Wang, Sen, Jiang, Yinlin, Yao, Lina and Qi, Guilin (2021). Efficient search over incomplete knowledge graphs in binarized embedding space. Future Generation Computer Systems, 123, 24-34. doi: 10.1016/j.future.2021.04.006
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
Conference Publication
Self-supervised adversarial distribution regularization for medication recommendation
Wang, Yanda, Chen, Weitong, PI, Dechang, Yue, Lin, Wang, Sen and Xu, Miao (2021). Self-supervised adversarial distribution regularization for medication recommendation. Thirtieth International Joint Conference on Artificial Intelligence, Montreal, Canada, 19-27 August 2021. California, United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2021/431
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. 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
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
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
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