Scholar

Feng Liu (he/him)

Google Scholar ID: eqe3JS8AAAAJ

Senior Lecturer, University of Melbourne / Visiting Scientist, RIKEN-AIP / Visiting Fellow, UTS-AAII

Machine LearningHypothesis TestingModel ReprogrammingDeep Kernel

Citations & Impact

All-time

Citations

4,002

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

1. Recipient of the ARC Discovery Early Career Researcher Award
2. Recipient of the FEIT Excellence Award in Early Career Research at The University of Melbourne
3. Outstanding Paper Award of NeurIPS (2022)
4. Outstanding Reviewer Award of NeurIPS (2021)
5. Outstanding Reviewer Award of ICLR (2021)
6. UTS Best Thesis Award (Dean's list)
7. UTS-FEIT HDR Research Excellence Award (2019)
8. Best Student Paper Award of FUZZ-IEEE (2019)
9. Publications in high-quality journals or conferences such as Nature Plants, Nature Communications, JMLR, IEEE-TPAMI, IEEE-TNNLS, IEEE-TFS, NeurIPS, ICML, ICLR, KDD, IJCAI, and AAAI
10. Served as area chairs (AC) for ICML, NeurIPS, ICLR, AISTATS, senior program committee (SPC) members for AAAI, IJCAI, and as an Associate Editor for ACM TOPML, IJMLC, Action Editor for Neural Networks, Transactions on Machine Learning Research

Research Experience

1. Senior Lecturer at the School of Computing and Information Systems, The University of Melbourne
2. Visiting Scientist at RIKEN-AIP, working on the robust domain adaptation project
3. Visiting Scholar at Gatsby Computational Neuroscience Unit, UCL, working on the hypothesis testing project

Education

Ph.D. in Computer Science from the University of Technology Sydney in 2020, advised by Distinguished Prof. Jie Lu and Prof. Guangquan Zhang.

Background

Research Interests: Statistically trustworthy machine learning; Professional Field: Machine Learning; Biography: Feng Liu is a Senior Lecturer (US Associate Professor) in Machine Learning at the School of Computing and Information Systems, The University of Melbourne, and an ARC Discovery Early Career Researcher Awardee (Machine Learning), ACS Australasian AI Emerging Research Awardee. He is also a Visiting Scientist at RIKEN-AIP, Japan, and a Visting Fellow at DeSI Lab, Australian Artificial Intelligence Institute, UTS.

Miscellany