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Inspired Idea turns into Sound Results: The Influence of Creativity and Teamwork on the Research

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Manage episode 461046433 series 2917054
Content provided by New Books Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by New Books Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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."

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389 episodes

Artwork
iconShare
 
Manage episode 461046433 series 2917054
Content provided by New Books Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by New Books Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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."

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

389 episodes

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