Scholarly Communication · Jan 14, 2025 · 37:17
Listen in the Podli app 🎧
Follow your favourite podcasts, listen offline and in the car with CarPlay and Android Auto, and always pick up where you left off. Free to try.
Listen to this interview of Yun Peng, Research Associate, Chinese University of Hong Kong, China; and also, Cuiyun Gao, Associate Professor, Harbin Institute of Technology, China. We talk about their coauthored paper Static Inference Meets Deep Learning: A Hybrid Type Inference Approach for Python (ICSE 2022).
Yun Peng : "And I remember the reviewers at ICSE commenting how they never imagined solving the type-inference problem in just this way. So, for me, the takeaway here, is: When we are conducting research or writing a paper or solving a technical problem, we do well to look into life and draw inspiration from there to do the work — because I know we can be greatly inspired by the things just around us in our everyday lives."
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Episodes: Scholarly Communication