Xingjun (Daniel) Ma

I am a research fellow at the School of Computing and Information Systems, The University of Melbourne, where also I obtained my PhD in 2019. I work closely with Prof. James Bailey. Prior to my PhD, I recieved my M.Eng. and B.Eng. degrees from Tsinghua University and Jilin University successively.

I am a passionate researcher with broad interests in machine learning, deep learning, their theory and applications. I am also very lucky to have wonderful collabarations with many highly respected researchers and professors, including Prof. James Bailey (UniMelb), Prof. Dawn Song (UC, Berkeley), Prof. Michael E. Houle (NII, Japan), A/Prof. Bo Li (UIUC), A/Prof. Sarah Erfani (UniMelb), Dr. Sudanthi Wijewickrema (UniMelb), and Dr. Yisen Wang (Tsinghua University).

Research Interests:

  • Machine Learning
    • Adversarial machine learning
    • Model interpretation
    • Weakly supervised learning
  • Deep Learning
    • Adversarial attack/defense
    • Generative adverarial networks
    • Computer vision

Professional Activities:

  • PC member: KDD 2019, NeurIPS 2019

For PhD applicants: funded PhD positions are available in our group on adversarial machine learning research.

For Unimelb students: I will be able to supervise several Master by Research students from semester 1, 2019, contact me if you are interested (research only).


Contact Me:

Email: $\alpha$.$\beta$@unimelb.edu.au WHERE $\alpha$/$\beta$ is my first/lastname.
Office: Room 9.15, Doug McDonell Building (Building 168), University of Melbourne