Dr Ye Zhu

Dr Ye Zhu

Senior Lecturer of Computer Science, IEEE Senior Member

Deakin University

I am working in the School of Information Technology at Deakin University as a Senior Lecturer of Computer Science. I am also the HDR coordinator of D2I (Data to Intelligence Research Centre) and a member of CREST (Cyber Resilience and Trust) at the school. 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 computer science conferences and journals, including SIGKDD, VLDB, IJCAI, AAAI, ICML, ICDM, AIJ, TKDE, ISJ, PRJ, JAIR and MLJ. I recently conducted several tutorials/workshops about anomaly detection at leading computer science conferences such as KDD22, IJCAI23, PAKDD23, and ECML23 (tutorial link).

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, supervised by Prof. Kai Ming Ting and A/Prof. Mark Carman. I obtained the Research Award for Excellence in Early Career Research Performance and the Teaching and Learning Award from Deakin University in 2020 and 2021, respectively. I have also secured eight research grants of around AUD$640,000 in total since 2018.


  • Clustering analysis
  • Anomaly detection
  • Similarity learning
  • Unsupervised learning


  • PhD in Artificial Intelligence, 2017

    Monash University, Australia

  • MSc in Computing, 2012

    Imperial College London, UK

  • BEng in Computer Science, 2010

    Huazhong Normal University, China