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. Currently, I am working in the School of Information Technology at Deakin University as a Lecturer in IT. I am a research staff member of D2I (Data to Intelligence Research Centre) and DARL (Data Analytics Research Lab) at Deakin.
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, Artificial Intelligence Journal, Pattern Recognition Journal and Machine Learning Journal.
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
PKDD-ECML (2019, 2020, 2021)
PAKDD (2019, 2020, 2021)
IEEE International Conference on Data Mining (2016)
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2016)
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)