Seohyun Kim

According to our database, Seohyun Kim authored at least 10 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Predictive synthesis of API-centric code.

Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra

Proceedings of the MAPS@PLDI 2022: 6th ACM SIGPLAN International Symposium on Machine Programming, 2022

Improving Code Autocompletion with Transfer Learning.

Wen Zhou, Seohyun Kim, Vijayaraghavan Murali, Gareth Ari Aye

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

2021

AI in Software Engineering at Facebook.

Johannes Bader, Sonia Seohyun Kim, Frank Sifei Luan, Satish Chandra, Erik Meijer

IEEE Softw., 2021

Explaining mispredictions of machine learning models using rule induction.

Jürgen Cito, Isil Dillig, Seohyun Kim, Vijayaraghavan Murali, Satish Chandra

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Code Prediction by Feeding Trees to Transformers.

Seohyun Kim, Jinman Zhao, Yuchi Tian, Satish Chandra

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Learning Autocompletion from Real-World Datasets.

Gareth Ari Aye, Seohyun Kim, Hongyu Li

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2021

2019

Neural Code Search Evaluation Dataset.

Hongyu Li, Seohyun Kim, Satish Chandra

CoRR, 2019

When deep learning met code search.

José Cambronero, Hongyu Li, Seohyun Kim, Koushik Sen, Satish Chandra

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Neural query expansion for code search.

Jason Liu, Seohyun Kim, Vijayaraghavan Murali, Swarat Chaudhuri, Satish Chandra

Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2019

2018

Retrieval on source code: a neural code search.

Saksham Sachdev, Hongyu Li, Sifei Luan, Seohyun Kim, Koushik Sen, Satish Chandra

Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2018