Feng Liu (he/him) -- Assistant Professor at The University of Melbourne


Miscellaneous


[Academic Talks, Honors and Awards ]


Academic Talks (including future talks)

  • Talk on "Recent Advances in Two-sample Testing and Its Applications", Monash Software Systems and Cybersecurity Seminars, Monash University, Melbourne, Aug. 15, 2023 (Invited Seminar Talk).

  • Talk on "Recent Advances in Two-sample Testing and Its Applications", International Conference on Machine Learning and Cybernetics, Adelaide, Jul. 10, 2023 (Invited Keynote Talk).

  • Talk on "Recent Advances in Two-sample Testing and Its Applications", University of Chinese Academy of Sciences, Online, May 30, 2023 (Invited Guest Lecture).

  • Talk on "Recent Advances in Two-sample Testing and Its Applications", Central South University, Online, Mar. 16, 2023 (Invited Seminar Talk).

  • Talk on "Recent Advances in Two-sample Testing and Its Applications", University of Southern Queensland, Toowoomba, Feb. 13, 2023 (Invited Seminar Talk).

  • Talk on "Recent Advances in Two-sample Testing and Its Applications", Tianjin University of Finance and Economics, Online, Dec. 7, 2022 (Invited Seminar Talk).

  • Talk on "Recent Advances in Two-sample Testing and Its Applications", Swinburne University of Technology, Melbourne, Oct. 11, 2022 (Invited Seminar Talk).

  • Talk on "Recent Advances in Two-sample Testing and Its Applications", Xi'an Jiaotong University, online, Sep. 15, 2022 (Invited Seminar Talk).

  • Talk on "Recent Advances in Two-sample Testing and Its Applications", Workshop on Weakly Supervised Data Mining and Learning, Chinese Conference on Data Mining, online, Jul. 29, 2022 (Invited Talk).

  • Talk on "Deep Kernel Two-sample Testing and Its Applications", Cooperative Medianet Innovation Center, Shanghai Jiaotong University, online, Jul. 13, 2022 (Invited Seminar Talk).

  • Talk on "Towards Trustworthy Transfer Learning: Learning from the Wild", University of Western Ontario, online, Mar. 9, 2022 (Invited Seminar Talk).

  • Talk on "Deep Kernel Two-sample Testing and Its Applications", Guangzhou University, online, Jan. 15, 2022 (Invited Seminar Talk).

  • Talk on "Deep Kernel Two-sample Testing and Its Applications", School of Mathematics and Statistic, The University of Melbourne, Melbourne, Australia, Jan. 10, 2022 (Invited Seminar Talk).

  • Talk on "Recent Advances and Applications of Two-Sample Testing", NeurIPS Meetup Japan 2021, online, Dec. 14, 2021 (Invited Keynote Talk).

  • Talk on "Meta Two-sample Testing", NeurIPS Meetup Sydney 2021, online, Dec. 4, 2021 (Invited Talk).

  • Talk on "Recent Advances and Applications of Two-Sample Testing", ITEE Seminar, The University of Queensland, online, Oct. 13, 2021 (Invited Seminar Talk).

  • Talk on "Towards Trustworthy Transfer Learning: Learning from the Wild", RIKEN-AIP, online, March 9, 2021 (Invited Seminar Talk).

  • Talk on "Towards Realistic Machine Learning Algorithms", Guangzhou University, online, September 25, 2020 (Invited Seminar Talk).

  • Talk on "Learning Deep Kernels for Nonparametric Two Sample Test", Gatsby Computational Neuroscience Unit, UCL, London, UK, October 21, 2019 (Seminar Talk).

  • Talk on "Butterfly: A Panacea for All Difficulties in Wildly Unsupervised Domain Adaptation", RIKEN-AIP, Tokyo, Japan, June 26, 2019 (Seminar Talk).

  • Talk on "Discrepancy of Diverse Subsets for Distribution Comparison", 20th DeSI Workshop, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia, August 10, 2018 (Seminar Talk).

  • Talk on "Associative Ability for Computers: Heterogeneous Unsupervised Cross-domain Transfer Learning", 18th DeSI Workshop, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia, January 17, 2017 (Seminar Talk).


Selected Honors and Awards

  • Outstanding Area Chair Award of ACM MM (2024)

  • FEIT Excellence Award in Early Career Research (2023)

  • Top 2% of the world’s most cited scientists in 2022 (2023)

  • ARC Discovery Early Career Researcher Award (2023)

  • Best Reseach-in-progress Paper Award of ECIS: 2nd Runner Up (2023)

  • Outstanding Paper Award of NeurIPS (2022)

  • Outstanding Reviewer Award of NeurIPS (2021)

  • Outstanding Reviewer Award of ICLR (2021)

  • UTS Best PhD Thesis Award (Dean's list)

  • Best Student Paper Award from IEEE International Conference on Fuzzy Systems (2019)

  • UTS-FEIT HDR Research Excellence Award (2019)

  • Publons Peer Review Awards - Top 1% reviewers in Computer Science (2019, 2018)

  • Meritorious Winner in the International Mathematical Contest in Modelling (2011, team leader)