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.
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
This website only lists my key publications. For the full publications, please see my Google scholar or Deakin website.
Journal Reviewer
Conference Reviewer
Conference Organiser/Volunteer
IEEE Symposium on Computers and Communications (ISCC 2021, 2022)
AMSI Workshop Dynamical Systems in Physiology(Melbourne, Australia, 2019)
#123 NII Shonan Meeting (Tokyo, JAPAN, 2018)
Pacific-Asia Conference on Knowledge Discovery and Data Mining (Melbourne, Australia, 2018)
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (San Francisco, California, USA 2016)