Dr Junyu Xuan is an IEEE/ACM Senior Member, ISBA/BNP Life Member, ARC Discovery Early Career Researcher Award (DECRA) Fellow, and Senior Lecturer of the Australia Artificial Intelligence Institute in the Faculty of Engineering and IT at the University of Technology Sydney (UTS).

Dr Xuan received a dual doctoral degree from the University of Technology Sydney and Shanghai University in 2016. After his PhD, he worked as a Postdoctoral Research Fellow in the Faculty of Engineering and IT of the University of Technology Sydney in Australia for three years. In 2020, he secured an ARC Discovery Early Career Researcher Award and became a Lecturer and Senior Lecturer at UTS.

Dr Xuan’s research interest is Probabilistic Machine Learning and has published over 80 papers in high-quality journals and conferences, including Artificial Intelligence Journal, Machine Learning Journal, IEEE TNNLS, IEEE TFS, IEEE TKDE, IEEE TCYB, ACM TOIS, ACM TIST, ACM Computing Surveys, ICDM, NeurIPS, AAAI, AISTAS, ICLR, IJCNN, etc. He served as Area Chair of EMNLP and AJCAI; PC or Senior PC member for conferences, e.g. NIPS, ICML, ICLR, AABI, ACML, IJCAI, AAAI, IJCNN, ICONIP, etc.

Interests
  • Bayesian deep learning
  • Bayesian nonparametric learning
  • Deep generative models
  • Reinforcement learning
  • Graph neural networks
Education
  • PhD in Machine Learning, 2016

    University of Technology Sydney

  • PhD in AI, 2016

    Shanghai University

  • BSc in Computer Sciences, 2008

    China University of Geosciences Beijing, China