Welcome to Postdoctoral Research Fellow, Dr Junliang Yu
Welcome back to 2023! We’d like to extend a very warm welcome to our first CIRES Postdoctoral Research Fellow, Junliang Yu! Junliang is based at The University of Queensland and his work will particularly focus on dealing with data sparsity and noise problems in real-world datasets, and on promoting algorithmic transparency. During his PhD, he […]
Welcome back to 2023! We’d like to extend a very warm welcome to our first CIRES Postdoctoral Research Fellow, Junliang Yu!
Junliang is based at The University of Queensland and his work will particularly focus on dealing with data sparsity and noise problems in real-world datasets, and on promoting algorithmic transparency.
During his PhD, he published over 10 peer-reviewed papers in the most prestigious conferences including the Conference on Knowledge Discovery and Data Mining (KDD), World Wide Web (WWW), IEEE’s International Conference on Data Mining (ICDM), AAAI, the Conference on Information and Knowledge Management (CIKM), and journals including IEEE’s Transactions on Knowledge and Data Engineering (TDKE) and the International Journal on Very Large Data Bases (VLDBJ).
Junliang’s research interests are data mining and machine learning, with a particular focus on recommender systems, tiny machine learning, and self-supervised learning. He will work closely with Centre Director Professor Shazia Sadiq and CIRES Chief Investigator Associate Professor yin hongzhi.
Junliang is looking forward to building successful collaborative relationships across the Centre and making great contributions to CIRES.
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