Dr Guanglin Zhou
Postdoctoral Research Fellow
School of Electrical Engineering and Computer Science
Journal Articles
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