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Learning Theory, Bayesian Nonparametrics


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Chinese Name



Richard Yi Da Xu is currently a Full Professor in the Department of Mathematics at Hong Kong Baptist University (HKBU). His research fields are Machine Learning and Artificial Intelligence, and his recent research interests include Bayeisan Nonparametric and (machine) Learning Theory. Richard has published papers at many top international conferences, including ICLR, AAAI, IJCAI, ECAI, ECCV, AI-STATS and ICDM, and many top IEEE Transactions: IEEE-(TNNLS, TIP, TSP, TKDE, MC and T-Cyber​​netics). Since 2009, he has created more than 2,000 slides of free machine learning online doctoral training materials and online machine learning videos. During his employment in Australia, his team has collaborated with many Australian industries in finance, e-commerce, government, transport, utilities, defence, agricultural, communication and legal sectors. He established a Deep Learning Sydney meetup which has 4700+ members, one of the largest of its kind in Australia. He was representing Australia to attend ISO JTC1 SC42 (Artificial Intelligence)’s first plenary.

Research Interests

Learning Theory, Bayesian Nonparametrics, Machine Learning applications

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 16 - Peace, Justice and Strong Institutions

Education/Academic qualification

PhD, Computer Sciences, University of Technology Sydney

1 Feb 200231 Dec 2005

Award Date: 10 May 2006


Dive into the research topics where Yi Da XU is active. Topic labels come from the works of this scholar.
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Collaborations and top research areas from the last five years

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