Seohyun Kim

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 14

Top Topics

Learning Models

Query Expansion

Manifold Alignment

Top Venues

ESEC/SIGSOFT FSE

Publications

Wen Zhou, Seohyun Kim, Vijayaraghavan Murali, Gareth Ari Aye
Improving Code Autocompletion with Transfer Learning. ICSE (SEIP) (2022)
Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra
Predictive Synthesis of API-Centric Code. CoRR (2022)
Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra
Predictive synthesis of API-centric code. MAPS@PLDI (2022)
Wen Zhou, Seohyun Kim, Vijayaraghavan Murali, Gareth Ari Aye
Improving Code Autocompletion with Transfer Learning. CoRR (2021)
Seohyun Kim, Jinman Zhao, Yuchi Tian, Satish Chandra
Code Prediction by Feeding Trees to Transformers. ICSE (2021)
Jürgen Cito, Isil Dillig, Seohyun Kim, Vijayaraghavan Murali, Satish Chandra
Explaining mispredictions of machine learning models using rule induction. ESEC/SIGSOFT FSE (2021)
Gareth Ari Aye, Seohyun Kim, Hongyu Li
Learning Autocompletion from Real-World Datasets. ICSE (SEIP) (2021)
Gareth Ari Aye, Seohyun Kim, Hongyu Li
Learning Autocompletion from Real-World Datasets. CoRR (2020)
Seohyun Kim, Jinman Zhao, Yuchi Tian, Satish Chandra
Code Prediction by Feeding Trees to Transformers. CoRR (2020)
José Cambronero, Hongyu Li, Seohyun Kim, Koushik Sen, Satish Chandra
When deep learning met code search. ESEC/SIGSOFT FSE (2019)
José Cambronero, Hongyu Li, Seohyun Kim, Koushik Sen, Satish Chandra
When Deep Learning Met Code Search. CoRR (2019)
Jason Liu, Seohyun Kim, Vijayaraghavan Murali, Swarat Chaudhuri, Satish Chandra
Neural query expansion for code search. MAPL@PLDI (2019)
Hongyu Li, Seohyun Kim, Satish Chandra
Neural Code Search Evaluation Dataset. CoRR (2019)
Saksham Sachdev, Hongyu Li, Sifei Luan, Seohyun Kim, Koushik Sen, Satish Chandra
Retrieval on source code: a neural code search. MAPL@PLDI (2018)