Seohyun Kim -

Registered user since Mon 18 Jun 2018

Name:Seohyun Kim

Bio:

Software engineer at Meta (formerly Facebook) for the last 4.5 years. For the first four years, I’ve worked on researching applying machine learning to code (code search, code recommendation, code synthesis, etc). I’m currently in the Responsible AI org, where we ensure models and systems are robust and don’t produce AI-based harms.

Country:United States

Affiliation:Meta

Contributions

ESEC/FSE 2023	Social Media Co-Chair in Organizing Committee
ASE 2023	Committee Member in Program Committee within the Research Papers-track
ICSE 2023	Committee Member in Software Engineering in Practice within the SEIP - Software Engineering in Practice-track
ESEC/FSE 2022	Author of Explaining Mispredictions of Machine Learning Models using Rule Induction within the ESEC/FSE 2021-track Committee Member in Program Committee within the Industry Paper-track
MAPS 2022	Author of Predictive Synthesis of API-Centric Code within the MAPS 2022-track
ICSE 2022	Author of Improving Code Autocompletion with Transfer Learning within the SEIP - Software Engineering in Practice-track Committee Member in Program Committee within the SEIP - Software Engineering in Practice-track
ESEC/FSE 2021	Committee Member in Program Committee within the Industry Papers-track Author of Explaining Mispredictions of Machine Learning Models using Rule Induction within the Research Papers-track
ICSE 2021	Author of Code Prediction by Feeding Trees to Transformers within the Technical Track-track Author of Learning Autocompletion from Real-World Datasets within the SEIP - Software Engineering in Practice-track
MAPL 2019	Author of Neural Query Expansion for Code Search within the MAPL 2019-track
MAPL 2018	Author of Retrieval on source code: a neural code search within the MAPL 2018-track