Welcome!

I am currently a Postdoc reseacher at Tsinghua University and Great Bay university. I received my PhD degree from Deakin University in 2025. Before it, I recieved the B. Sc. degree in information technology from Monash University, Australia in 2020, and the M. Sc. degree in data science at Deakin University, Australia in 2021.

My research interests include clustering analysis, anomaly detection and their application in renewable energy with .

In my free time, I enjoy playing basketball and fishing.

📖 Educations

2022.03 - 2025.03, Doctor of Philosophy. Deakin University, Australia.
2020.08 – 2021.10, Master of Data Science. Deakin University, Australia.
2017.03 - 2020.07, Bachelor of Information Technology. Monash University, Australia.

📝 Publications

Cao, Y., Pokhrel, S. R., Zhu, Y., Doss, R., & Li, G. (2024). Automation and orchestration of zero trust architecture: Potential solutions and challenges. Machine Intelligence Research, 21(2), 294-317.
Cao, Y., Zhu, Y., Ting, K. M., Salim, F. D., Li, H. X., Yang, L., & Li, G. (2024). Detecting Change Intervals with Isolation Distributional Kernel. Journal of Artificial Intelligence Research, 79, 273-306.
Cao, Y., Zhu, Y., Ting, K. M., Salim, F. D., Li, H. X., Yang, L., & Li, G. (2024). Detecting Change Intervals with Isolation Distributional Kernel (Abstract Reprint). IJCAI 2024.
Cao, Y., Xiang, H., Zhang, H., Zhu, Y., & Ting, K. M. (2024). Anomaly Detection Based on Isolation Mechanisms: A Survey. arXiv preprint arXiv:2403.10802.
Cao, Y., Ma, Y., Zhu, Y., & Ting, K. M. (2024). Revisiting Streaming Anomaly Detection: Benchmark and Evaluation. Authorea Preprints.
Gan, C., Zheng, J., Zhu, Q., Cao, Y., & Zhu, Y. (2024). A survey of dialogic emotion analysis: Developments, approaches and perspectives. Pattern Recognition, 110794.
Li, C., Cao, Y., Zhu, Y., Cheng, D., Li, C., & Morimoto, Y. (2024). Ripple knowledge graph convolutional networks for recommendation systems. Machine Intelligence Research, 1-14.
Gan, C., Fu, X., Feng, Q., Zhu, Q., Cao, Y., & Zhu, Y. (2024). A multimodal fusion network with attention mechanisms for visual–textual sentiment analysis. Expert Systems with Applications, 242, 122731.
Gong, L., Zhang, H., Liu, Z., Ting, K. M., Cao, Y., & Zhu, Y. (2024, April). Local Subsequence-Based Distribution for Time Series Clustering. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 259-270). Singapore: Springer Nature Singapore.
Li, C., Zhu, Y., Cao, Y., Zhang, J., Annisa, A., Cheng, D., & Morimoto, Y. (2024). Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework. arXiv preprint arXiv:2404.03254.
Li, C., Cao, Y., Zhu, Y., Zhang, J., Annisa, A., Cheng, D., … & Morimoto, Y. (2023, August). An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark. In International Conference on Knowledge Science, Engineering and Management (pp. 35-43). Cham: Springer Nature Switzerland.
Liu, Y., Zhang, Y., Cao, Y., Zhu, Y., Zaidi, N., Ranaweera, C., … & Zhu, Q. (2023, August). Kernel-Based Feature Extraction for Time Series Clustering. In International Conference on Knowledge Science, Engineering and Management (pp. 276-283). Cham: Springer Nature Switzerland.
Zhang, B., Cao, Y., Zhu, Y., Rajasegarar, S., Liu, G., Li, H. X., … & Li, G. (2023, May). An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 197-209). Cham: Springer Nature Switzerland.

💬 Tutorial Talks

Moving Beyond Traditional Anomaly Detection (2023). Ye Zhu (Deakin University), Gang Li (Deakin University), Chen Li (Nagoya University), Yang Cao (Deakin University). The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023)
Revolutionizing Anomaly Detection: Approaches and Guidelines (2023). Mark Carman (Politecnico di Milano) Ye Zhu (Deakin University), Gang Li (Deakin University), Yang Cao (Deakin University). ECML PKDD 2023
Moving Beyond Traditional Anomaly Detection (2023). Ye Zhu (Deakin University), Gang Li (Deakin University), Yang Cao (Deakin University). The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023).

💻 Experience

2022 - Present. Teaching Assistant. Deakin University. – SIT718, Real World Analytics – MIS772, Predictive Analytics – SIT708, Mobile Application Development – MIS373, Artificial Intelligence for Business

🎖 Honors and Awards