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, both theory and applications. I am also very lucky to have wonderful collabarations with highly respected researchers and professors, including Prof. James Bailey (UniMelb), Prof. Michael E. Houle (NII, Japan), Prof. Dawn Song (UC, Berkeley), Prof. Yu-Gang Jiang (Fudan University), 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