Tongliang Liu
Co-Editor-in-Chief 

The University of Sydney, Australia 

Topics of Research: trustworthy machine learning, multi-modality learning, AI for science

 

Professor Tongliang Liu is the Director of Sydney AI Centre at the University of Sydney. His research interests lie in providing mathematical and theoretical foundations to justify and understand machine learning models and designing machine learning algorithms for problems in the field of trustworthy machine learning (robustness, causality, efficiency), multi-modality learning (generative models, 3D computer vision), AI for science (electrochemistry), and quantum machine learning. He has authored and co-authored more than 200 research articles. He is/was a senior meta reviewer for many conferences, such as NeurIPS, ICLR, AAAI, and IJCAI. He is an Associate Editor of IEEE TPAMI, TMLR, and ACM Computing Surveys.  

He is a recipient of CORE Award for Outstanding Research Contribution in 2024, the IEEE AI’s 10 to Watch Award in 2022, the Future Fellowship Award from Australian Research Council in 2022, the Top-40 Early Achievers by The Australian in 2020, and the Discovery Early Career Researcher Award from Australian Research Council in 2018.