Recruiting

I am looking for self-motivated students interested in sequential modelling, including recommender systems, graph neural networks, natural language processing, reinforcement learning, cross-disciplinary projects with time series etc.

• PhD applicants (multiple open positions every year)

  Computer science background is preferred but not necessary. You are welcome to email me and please specify your interest in research and your interest in working with me.

• master/undergraduate students

  UQ master/bachelor programs have (Type 1) thesis project, capstone projects and honours project (with 6 or 8 units for one year) and (Type 2) summer/winter/internship project (no unit). These projects can be towards research paper/cross-disciplinary project. If you want to have research outcome such as a paper, please consider doing a Type 2 project and then a Type 1 project with me.

  Students are expected to have either (1) a high GPA in math, algorithm, ML/DL/DM courses; or (2) a good understanding of fundamental ML/DL/DM knowledge equivalent to anyone of the following: CS229， CS231n, CS224n, or CS224w from Stanford, or RL from DeepMind&UCL, or CS285 from Berkeley, or STAT3006/STAT3007 from UQ. If you don’t have a good GPA, please take anyone of these courses first. If you want to do your thesis/project with me, welcome to email me.

• (remote) research interns

  You must have ML/DL/DM background. Welcome to email me with a specific research plan for short-term work.

Please attach your CV and transcripts in your email. Please customize your email according to my research interest and be specific about your research interest.