Overview
Availability
- Dr Guanglin Zhou is:
- Available for supervision
Qualifications
- Doctor of Philosophy of Electrical Engineering and Computer Science, University of New South Wales
Works
Search Professor Guanglin Zhou’s works on UQ eSpace
2026
Journal Article
Emerging synergies in causality and deep generative models: a survey
Zhou, Guanglin, Xie, Shaoan, Hao, Guang-Yuan, Chen, Shiming, Huang, Biwei, Xu, Xiwei, Wang, Chen, Zhu, Liming, Yao, Lina and Zhang, Kun (2026). Emerging synergies in causality and deep generative models: a survey. IEEE Transactions on Artificial Intelligence, 7 (7), 3634-3652. doi: 10.1109/tai.2025.3646958
2025
Journal Article
From small to large: in-context learning as a new paradigm for domain generalization
Zhou, Guanglin, Han, Zhongyi, Xie, Shaoan, Chen, Shiming, Huang, Biwei, Zhu, Liming, Gao, Xin, Yao, Lina and Khan, Salman (2025). From small to large: in-context learning as a new paradigm for domain generalization. International Journal of Computer Vision, 134 (1) 9. doi: 10.1007/s11263-025-02618-w
2025
Conference Publication
Generating clinically realistic EHR data via a hierarchy- and semantics-guided transformer
Zhou, Guanglin and Barbieri, Sebastiano (2025). Generating clinically realistic EHR data via a hierarchy- and semantics-guided transformer. ECAI 2025: 28th European Conference on Artificial Intelligence, Bologna, Italy, 25-30 October 2025. Amsterdam, Netherlands: IOS Press. doi: 10.3233/faia251280
2024
Journal Article
HCVP: leveraging hierarchical contrastive visual prompt for domain generalization
Zhou, Guanglin, Han, Zhongyi, Chen, Shiming, Huang, Biwei, Zhu, Liming, Liu, Tongliang, Yao, Lina and Zhang, Kun (2024). HCVP: leveraging hierarchical contrastive visual prompt for domain generalization. IEEE Transactions on Multimedia, 27, 1142-1152. doi: 10.1109/TMM.2024.3521719
2023
Conference Publication
Contrastive counterfactual learning for causality-aware interpretable recommender systems
Zhou, Guanglin, Huang, Chengkai, Chen, Xiaocong, Xu, Xiwei, Wang, Chen, Zhu, Liming and Yao, Lina (2023). Contrastive counterfactual learning for causality-aware interpretable recommender systems. 32nd ACM International Conference on Information and Knowledge Management (CIKM), Birmingham, England, United Kingdom, 21-25 October 2023. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3583780.3614823
2023
Journal Article
Deep reinforcement learning in recommender systems: a survey and new perspectives
Chen, Xiaocong, Yao, Lina, McAuley, Julian, Zhou, Guanglin and Wang, Xianzhi (2023). Deep reinforcement learning in recommender systems: a survey and new perspectives. Knowledge-Based Systems, 264 110335. doi: 10.1016/j.knosys.2023.110335
2023
Conference Publication
Meta-learning for estimating multiple treatment effects with imbalance
Zhou, Guanglin, Yao, Lina, Xu, Xiwei, Wang, Chen and Zhu, Liming (2023). Meta-learning for estimating multiple treatment effects with imbalance. Web Information Systems Engineering – WISE 2023: 24th International Conference, Melbourne, VIC, Australia, 25-27 October 2023. Heidelberg, Germany: Springer. doi: 10.1007/978-981-99-7254-8_69
2022
Conference Publication
Cycle-balanced representation learning for counterfactual inference
Zhou, Guanglin, Yao, Lina, Xu, Xiwei, Wang, Chen and Zhu, Liming (2022). Cycle-balanced representation learning for counterfactual inference. SIAM International Conference on Data Mining (SDM), Alexandria, VA, United States, 28-30 April 2022. Philadelphia, PA, United States: SIAM. doi: 10.1137/1.9781611977172.50
Supervision
Availability
- Dr Guanglin Zhou is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
Machine learning for generation and distribution of synthetic electronic medical records (EMRs) representative of the Australian population
Associate Advisor
Other advisors: Associate Professor Sebastiano Barbieri
Media
Enquiries
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