Email: Ye [DOT] Zhu [AT] IEEE [DOT] org

School of Information Technology, 

Deakin University, Victoria 3125, Australia.

© 2019 by YE ZHU. Proudly created with



Lecturer in IT @ Deakin University

I got my Ph.D. in AI with a Mollie Holman Medal for the best doctoral thesis of the year from Monash University in 2017. Currently, I am working in the School of Information Technology at Deakin University as a Lecturer in IT.


My research works focus on the fields of data mining and machine learning. Particular topics include clustering analysis, anomaly detection, similarity learning and their applications for pattern recognition and information retrieval. Most research outcomes have been published in top-tier conferences and journals, including SIGKDD, PAKDD, AAAI, Pattern Recognition Journal and Machine Learning Journal. 


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  • Anomaly detection

  • Clustering

  • Classification

  • Matric learning

  • Machine Learning

  • Pattern Recognition

Research Interests


•    Monash University, Australia
2013 - 2017 Doctor of Philosophy (Artificial Intelligence)

Supervisor: Prof. Kai Ming Ting and A/Prof. Mark Carman


•    Imperial College London, UK
2011 - 2012 Master of Science in Computing (Computational Management Science)

Supervisor: Prof. Daniel Kuhn


•    Huazhong Normal University, China
2006 - 2010 Bachelor of Science in Computer Science  

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