DR. HUI ZHENG

Ph.D., School of Software and Electrical Engineering, Department of Computer Science and Software Engineering, Swinburne University of Technology in Data Science.

Dr. Hui Zheng has published papers in Data Science, Statistics, Temporal data, Association Discovery, Optimisation, Machine Learning, eHealth, Fuzzy Association Rule Mining, Random Forest, Decision Tree, Privacy Protection and so on.  Her research interests focus on Data Analytics, Statistics, Artificial Intelligence, Larguage Modelling, Uncertainty Representation, Muti-objective Optimisation, Causal Relationship Discovery, Recommender System, eHealth, FinTech.

Selected  Publications:

1.Zheng, H., He, J., Liu, Q., Li, J., Huang, G., & Li, P. (2022). Multi-objective optimisation based fuzzy association rule mining method. World Wide Web, 1–18. https://doi.org/10.1007/S11280-022-01073-8

2. Wu, J., Huang, G., Zarei, R., Li, J., Huang, G.-L., Zheng, H., He, J., & Chi, C.-H. (2022). Emerging Scientific Topic Discovery by Finding Infrequent Synonymous Biterms. Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part I, 29–40.

3.Chen, J., Li, P., Fang, W., Zhou, N., Yin, Y., Xu, H., & Zheng, H. (2022). Fuzzy association rules mining based on Type-2 fuzzy sets over data stream. Procedia Computer Science, 199, 456–462.

4.He, J., Huang, G., Cao, J., Zhang, Z., Zheng, H., Zhang, P., Zarei, R., Susanto, F., Wang, R., & Ji, Y. (2022). Erratum to: A polynomial-time algorithm for simple undirected graph isomorphism (Concurrency and Computation: Practice and Experience,(2021), 33, 7,(1), 10.1002/cpe. 5484).

5.Guo, M., Chi, C.-H., Zheng, H., Zhang, K., & He, J. (2021). Homomorphic Encryption based Subgraph Isomorphism Protocol in Blockchain. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 449–456.

6. Zheng, H., Li, P., Liu, Q., Chen, J., Huang, G., Wu, J., Xue, Y., & He, J. (2020). Dual incremental fuzzy schemes for frequent itemsets discovery in streaming numeric data. Information Sciences, 514, 15–43. https://doi.org/10.1016/J.INS.2019.11.023 

7. Zheng, H., He, J., Zhang, Y., Huang, G., Zhang, Z., & Liu, Q. (2019). A general model for fuzzy decision tree and fuzzy random forest. Computational Intelligence, 35(2), 310–335. https://doi.org/10.1111/COIN.12195

8. Zheng, H., He, J., Zhang, Y., Wu, J., & Ji, Z. (2019). A mathematical model for intimacy-based security protection in social network without violation of privacy. International Journal of High Performance Computing and Networking, 15(3/4), 121. https://doi.org/10.1504/IJHPCN.2019.106084

9. Chen, J., Zheng, H., Li, P., Zhang, Z., Li, H., & Liu, W. (2020). Fuzzy Association Rule Mining Algorithm Based on Load Classifier. Data Science: 6th International Conference, ICDS 2019, Ningbo, China, May 15–20, 2019, Revised Selected Papers 6, 178–191. 

10.Zheng, H., He, J., Huang, G., Zhang, Y., & Wang, H. (2018). Dynamic optimisation based fuzzy association rule mining method. International Journal of Machine Learning and Cybernetics 2018 10:8, 10(8), 2187–2198. https://doi.org/10.1007/S13042-018-0806-9 

11.Zheng, H., He, J., Huang, G., & Zhang, Y. (2014). Optimized fuzzy association rule mining for quantitative data. IEEE International Conference on Fuzzy Systems, 396–403. https://doi.org/10.1109/FUZZ-IEEE.2014.6891735