Dr Guanglin Zhou
Postdoctoral Research Fellow
School of Electrical Engineering and Computer Science
Journal Articles
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, 1. doi: 10.1007/s11263-025-02618-w
Zhou, Guanglin, Xie, Shaoan, Hao, Guang-Yuan, Chen, Shiming, Huang, Biwei, Xu, Xiwei, Wang, Chen, Zhu, Liming, Yao, Lina and Zhang, Kun (2025). Emerging synergies in causality and deep generative models: a survey. IEEE Transactions on Artificial Intelligence, 1-18. doi: 10.1109/tai.2025.3646958
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
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
Conference Papers
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
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
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
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