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About Tongliang Liu
Dr Liu is a Visiting Associate Professor in the Machine Learning Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Biography
Dr Liu is also the director of Sydney AI Centre and a senior lecturer at University of Sydney, Australia; a visiting professor of University of Science and Technology of China, Hefei, China; and a visiting scientist of RIKEN AIP, Tokyo, Japan. He works as a Future Fellow of the Australian Research Council (ARC) and has been widely recognized by his research.
Dr Liu research interests lie in providing mathematical and theoretical foundations to justify and understand (deep) machine learning models and designing efficient learning algorithms for problems in computer vision and data mining, with a particular emphasis on:
· Learning with noisy labels.
· Deep adversarial learning
· Causal representation learning.
· Deep transfer learning.
· Deep unsupervised learning.
· Statistical deep learning theory.
Dr Liu was ranked among the Best Rising Stars of Science in Australia by Research.com in 2022; he was ranked among the Global Top Young Chinese Scholars in AI by Baidu Scholar in 2022; he was named in the Early Achievers Leader board by The Australian in 2020. He is the Action Editor of Transactions on Machine Learning Research, Associate Editor of ACM Computing Surveys, and in the Editorial Board of Journal of Machine Learning Research and the Machine Learning journal.
Present | Visiting Associate Professor, Mohamed bin Zayed University of Artificial Intelligence ‐ Department of Machine Learning | |
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Disciplines
Research Interests
Professional Service and Affiliations
2023 | Senior Program Committee, AAAI Conference on Artificial Intelligence (AAAI) | 2023 | Area Chair, Conference on Uncertainty in Artificial Intelligence (UAI) | 2023 | Area Chair, International Conference on Machine Learning (ICML) | 2023 | Program Chair, The 36th Australasian Joint Conference on Artificial Intelligence (AJCAI) | 2022 | Publication Chair, International Conference on Digital Image Computing: Techniques and Applications (DICTA) | 2022 | Area Chair, International Conference on Machine Learning (ICML) | 2022 | Senior Program Committee, International Joint Conferences on Artificial Intelligence (IJCAI) | 2022 | Area Chair, Neural Information Processing Systems (NeurIPS) | 2022 | Advisory Board, TrustML Young Scientist Seminars | 2021 | Plenary Chair, The 31st IEEE International Workshop on Machine Learning for Signal Processing (MLSP) | 2021 | Publicity Chair, The 34th Australasian Joint Conference on Artificial Intelligence (AJCAI) | 2017 | Local Arrangement Chair, International Conference on Digital Image Computing: Techniques and Applications (DICTA) | Associate Editor, ACM Computing Surveys | Associate Editor, Frontiers in Artificial Intelligence | Associate Editor, Frontiers in Big Data | Editorial Board Reviewer, Journal of Machine Learning Research | Action Editor, Machine Learning | Associate Editor, Neural Networks | Action Editor, Transactions on Machine Learning Research |
Honors and Awards
- 2022, Future Fellowship - Australian Research Council (ARC)
- 2022, Faculty Award - OPPO
- 2022, Best Paper Honorable Mention Award- IEEE MMSP
- 2022, Best Paper Award - ACM Mobiarch
- 2022, Meituan Faculty Research Award for Collaboration Exploration
- 2022, Global Top Young Chinese Scholars in AI – Baidu Scholar 2022
- 2021, Early Career Research Excellence – Faculty of Engineering, University of Sydney
- 2021, Best VisNotes Paper Award – IEEE PacificVis
- 2021, Best Workshop Paper Runner-up Award – Masked Face Recognition Challenge and Workshop, CVPR
- 2021, Quantification of Uncertainties in Biomedical Image Quantification Challenge Award (2nd place) – MICCAI
- 2021, Bioengineering and Digital Science Catalyst Award – Cardiovascular Initiative
- 2020, Early Career Researcher Award Honourable Mention – Australian Pattern Recognition Society (APRS)
- 2020, Named in the Early Achievers Leadboard (five across Australia in Engineering & Computer Sciences) - The Australian
- 2019, Best Paper Award - IEEE International Conference on Multimedia & Expo (ICME)
- 2019, J G Russell Award Shortlisted - Australian Academy of Science (AAS)
- 2019, Discovery Early Career Research Award (DECRA) Fellowship - Australian Research Council (ARC)
- 2017, Distinguished Paper Candidate - International Joint Conference on Artificial Intelligence (IJCAI)
- 2016, IEEE Transactions on Cybernetics Outstanding Reviewer Award- IEEE
- 2014, Best Paper Award - IEEE International Conference on Information Science & Tech (ICIST)
- 2014, Computational Statistics & Data Analysis Outstanding Reviewer Award - ELSEVIER