Prospective Students

Requirements for all students working with Lili:

• Coding ability (implementing algorithms as well as using existing toolkits)
• Math background (being able to go through equations and proofs of common machine learning models)
• Passion for scientific research (motivation, curiosity, persistence, etc.)

For UofA undergraduate and Master's students looking for supervisors:

• Please contact me.

For applicants to the Master's program:

• The application should be addressed to the University portal.

For applicants to the PhD program:

• The application should be addressed to the University portal.
• The applicant should share mutual research interest with me, AND
• is a person who I know, or
• recommended by a researcher who I know, or
• have top-tier publications
(e.g., ACL, EMNLP, NAACL, AAAI, IJCAI, ICML, NeurIPS, ICLR).

Note: A large number of publications at unknown venues are a red flag.

For postdoc applicants:

• The applicant should share mutual research interest with me, AND
• I can see the scientific value of the applicant's previous research, AND
• The applicant must have reasonable publications at top-tier conferences (not necessarily many), but
• The applicant should be primarily interested in conducting research instead of enlarging the publication list.

For visiting students (summer interns, year-round exchange students):

• The applicant should either meet the criteria of PhD applicants, OR
• If self-funded, the applicant has a good record of publications.

Contact me if you

• are at UofA, or
• are a person who I know, or
• are recommended by a researcher who I know, or
• have top-tier publications.