Tongliang Liu (刘同亮)

Lecturer (Assistant Professor)
School of Information Technologies
Faculty of Engineering and Information Technologies
The University of Sydney

Email: tliangDOTliuATgmailDOTcom

Postal Address:
Room 315, Level 3, J12
Cleveland St, Darlington NSW 2008, Australia

CV    Research    Publications

About me: 

Greetings! I am currently a Lecturer with the School of Information Technologies at The University of Sydney. I received the PhD degree from the University of Technology Sydney in 2016 and the BE degree in Electronic Engineering and Information Science from the University of Science and Technology of China in 2012. From October 2015 to March 2016, I was a visiting PhD student with the Statistics and Random Structures research group (STARS) at the Barcelona Graduate School of Economics (Barcelona GSE) and with the department of economics at the Pompeu Fabra University. From October 2016 to February 2017, I was a Lecturer with the Centre for Artificial Intelligence and the School of Software at the University of Technology Sydney. From June 2011 to July 2012, I was in the Visual and Audio Information Processing and Pattern Recognition Laboratory at the University of Science and Technology of China.

My research interests lie in providing mathematical and theoretical foundations to justify and further understand machine learning models and designing efficient learning algorithms for problems in computer vision and data mining, with a particular emphasis on matrix factorisation, transfer learning, multi-task learning, and learning with label noise.

I am always looking for highly-motivated Mphil/MSc and PhD students to join our group. If you are interested in the research in our group, please send an email to about your interests and background (attaching your CV, transcripts, and any previous research papers). Thanks!


  • 09/2017, call for papers: special issue on Visual Domain Adaptation and Generalization of the journal IET Computer Vision.
  • 09/2017, call for papers: special issue on Advances in Data Representation and Learning for Pattern Analysis of the journal Neurocomputing.
  • 04/2017, call for papers: special issue on Advanced Data Representation and Learning in Multimedia Data Analysis of the journal Journal of Electrical and Computer Engineering.
  • 03/2017, call for papers/tutorials and sponsorship -- DICTA2017 .
  • 01/2017, I was awarded the 2016 IEEE Transactions on Cybernetics Outstanding Reviewer.
  • 12/2016, I accepted the invitation to serve as Senior Program Committee member for IJCAI 2017.
  • 07/2016, call for papers: special issue on Optimization in Machine Learning and Data Mining of the journal Journal of Optimization.
  • 02/2016, I received the 2015 Chinese Government Award for Outstanding Self-Financed Students Abroad.


    Last Update: 9/2017.