Interview with Yezi Liu: Trustworthy and efficient machine learning

In this interview series, we're meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Yezi Liu is working on trustworthy and efficient machine learning. We asked her about her research to date, what she has found particularly interesting, plans for future work, and what is was that inspired her to study AI. Tell us a bit about your PhD - where are you studying, and what is the topic of your research? My research focuses on trustworthy machine learning, with particular emphasis on graph neural networks as well as trustworthy and efficient large language models.