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 very lucky to have wonderful collabarations with highly respected researchers. Please, feel free to contact me if you want to collabrate.

Research Interests:

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

Professional Activities:

  • Journal Reviewer:
    • Knowledge and Information Systems
    • IEEE Transactions on Industrial Informatics
  • Conference Reviewer:
    • ICLR 2020, AAAI 2020, 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