- Ehghaghi, M., Zhou, P. Y., Cheng, W. Y., Rajabi, S., Kuo, C. H., & Lee, E. S. A. (2023, October). Interpretable Disease Prediction from Clinical Text by Leveraging Pattern Disentanglement. In 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (pp. 1-7). IEEE.
- Zhou, P Y, Wong A K C , Michalopoulos G. et al. “Revealing Common and Rare Patterns for Peritoneal Dialysis Eligibility Decisions with Association Discovery and Disentanglement.” In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 927-933. IEEE, 2020.
- Zhou P Y, Wong A K C, Sze-To A. Disentanglement of Protein Aligned Pattern Clusters to Reveal Subtle Functional Subgroups. Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on. IEEE, 2017.
- Wong A K C, Zhou P Y, and Sze-To A., Discovering Deep Knowledge from Relational Data by Attribute-Value Association Proceedings of the 13th International Conference on Data Mining DMIN’17, pp. 51-57, 2017
- Yu Yang, Pei-Yuan Zhou, Ruosong Yang, Kevin Chan, Jiannong Cao, “Mixed-features Extraction in Student Forum Discussion: Insights from Data Mining”, eLearning Forum Asia 2017 (eLFA 2017). June 15-17, 2017. Hong Kong, China.
- Ruosong Yang, Pei-Yuan Zhou, Yu Yang, Kevin Chan, Jiannong Cao, “An Improved Natural Language Processing Approach for Learning Performance Prediction in Students’ Discussion Forum”, eLearning Forum Asia 2017 (eLFA 2017). June 15-17, 2017. Hong Kong, China.
- Zhou P Y, Chan K C C, An unsupervised attribute clustering algorithm for unsupervised feature selection. Data Science and Advanced Analytics (DSAA), 2015 IEEE International Conference on. IEEE, 2015: 1-7.
- Zhou P Y, Chan K C C, A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns Proc. Conf. on PAKDD2015, 2015.
- Zhou P Y, Mo W, Tian C, et al. A two-stage classification framework for imbalanced data with overlapping labels. Service Operations and Logistics, and Informatics (SOLI), 2014 IEEE International Conference on. IEEE, 2014: 350-355.
- Zhou P Y, Chan K C C, A Model-based Multivariate Time Series Clustering Algorithm“, Proc. Conf. on PAKDD2014, Workshops on Pattern Mining and Application of Big Data (BigPMA), 2014
- Zhou P Y, Lee E S A, Wong A K C. Regrouping of pattern clusters to reveal characteristics of distinct classes and related classes. Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on. IEEE, 2013: 55-61.
Conference Publications
