Thank you for your interest in joining my group!
I often receive inquiries from prospective students.
However, there are too many to respond individually.
Below are answers to common questions.
How to apply as a student?
If you'd like to do a Master's or PhD with me, you can apply either through the ECE department or the CS
department, and list me as a potential advisor in your application.
For CS applicants, since I need to co-supervise students with another professor in CS department, please
mention at least one more professor who shares similar research interests with me.
If you directly send me an email, I probably won't reply unless you describe the research question
concretely, and include your CV, transcript, and one of your research papers if applicable.
If you put "[hparg]", written backwards, in your email subject, I'll know that you've read this page.
What about visiting?
Yes, I am happy to host some curious and self-motivated visiting students.
Please email me directly with your CV and transcript.
Note that each of my projects typically requires at least a six-month time commitment.
How to apply as a postdoc?
Sorry that I currently do not take any postdocs. If I were to recruit any in the future, I would update it here.
How do you evaluate applicants?
Technically, I evaluate applicants based on math and programming skills. Please indicate relevant course grades,
competition awards, and publications in top-tier conferences (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV) in
your CV.
What if I'm just getting started?
I do recommend a few books I read when I started my journey in machine learning and computer vision:
- Bishop, C.M., 2006. Pattern Recognition and Machine Learning. Springer.
- Duda, R.O., Hart, P.E. and Stork, D.G., 2012. Pattern Classification. John Wiley & Sons.
A more detailed book list can be found
here.
Good luck in your pursuit of graduate studies, wherever it takes you!
Thanks to Richard Zemel and David Duvenaud for this page.