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Personal profile


My research involves both theoretical and practical aspects. More specifically, this focuses on deep generative models, kernel methods, optimization in machine learning and Bayesian inference whose gained theories can be applied to  supervised learning, semi-supervised learning, adversarial learning, online learning, anomaly detection, and cyber security. I have published in the top-notch conferences and high quality journals in machine learning, artificial intelligence, and data mining including NIPS, ICLR, AISTATS, UAI, IJCAI, ICDM and Journal of Machine Learning Research (JMLR).

Education/Academic qualification

Computer Science, Doctor of Philosophy, University of Canberra

Award Date: 27 Mar 2013

Research area keywords

  • Deep Generative Models
  • Optimisation for Machine Learning
  • Kernel Methods
  • Online Learning
  • Deep Learning for Cyber Security
  • Anomaly Detection


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