Ming Xu (Preferred)
Ming Xu
Australian National University
Names
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Emails
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****@gmail.com
, ****@anu.edu.au
Personal Links
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Education & Career History
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Postdoc
Australian National University (anu.edu.au)
2022 – 2024
PhD student
Queensland University of Technology (qut.edu.au)
2019 – 2022
MS student
University of New South Wales (unsw.edu.au)
2016 – 2018
Undergrad student
University of Melbourne (unimelb.edu.au)
2010 – 2013
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Timothy Molloy
****@anu.edu.au
2023 – 2023
Postdoc Advisor
Stephen Gould
****@anu.edu.au
2022 – 2023
Coauthor
Liang Zheng
****@anu.edu.au
2022 – 2023
Coauthor
Akshay Asthana
****@seeingmachines.com
2022 – 2023
PhD Advisee
Qinyu Zhao
****@anu.edu.au
2022 – 2023
Coauthor
Russell Tsuchida
****@data61.csiro.au
2020 – 2023
Coauthor
Sourav Garg
****@qut.edu.au
2019 – 2023
PhD Advisor
Tobias Fischer
****@qut.edu.au
2021 – 2022
Coauthor
Stephen Gould
****@anu.edu.au
2021 – 2022
Coauthor
Connor Malone
****@qut.edu.au
2020 – 2022
PhD Advisor
Michael Milford
****@qut.edu.au
2019 – 2022
PhD Advisor
Niko Sunderhauf
****@qut.edu.au
2019 – 2022
Coauthor
Stephen Hausler
****@qut.edu.au
2019 – 2022
Coauthor
Huu Le
****@chalmers.se
2019 – 2020
Coauthor
Robert Kohn
****@unsw.edu.au
2016 – 2018
Coauthor
Matias Quiroz
****@gmail.com
2016 – 2018
Coauthor
Scott Sisson
****@unsw.edu.au
2016 – 2018
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
self-supervised learning
2023 – 2023
out-of-distribution detection
2022 – 2023
time series learning
2021 – 2023
bilevel optimization, deep declarative networks
2021 – 2022
robotics, control, perception, localization, image retrieval
2019 – 2022
variational inference, deep generative models
2019 – 2022