Ahjeong Park

About

I am a graduate M.S. student in the School of IT Engineering at Sookmyung Women's University co-advised by Prof. Chulyun Kim. I received my M.S. in IT Engineering from Sookmyung, where I worked with Prof. Chulyun Kim.

My primary research interests lie in the area of natural language processing (NLP) and Ensemble in Deep learning. The long-term goal of my research is to enhance the practicality of NLP systems (e.g., neural machine translation) so that they can be widely used in real-world scenarios. In particular, my research focuses on 1) How NLP models collaborate with each other efficiently (i.e. ensemble, and 2) the ability of each model to cooperate with each other by answering what they can do well and by answering that they do not know what areas of high uncertainty are high. In addition, 3) technology for automatically generating natural language annotations from programming code. Here are some keywords:

• Ensemble in Deep Learning
• Neural Machine Translation
• Automatic Code Comment Generation
• Generative Model in NLP
• Efficiency

News

• [April. 2023]    Our paper on ALSI-Transformer has been accepted to IEEE Access 2023!

Education

Publications

REGEN: Recurrent Ensemble Methods for Generative Models

Ahjeong Park, Youngmi Park, Chulyun Kim

2023, IEEE Access 투고 준비 중

Slides Code

ALSI-Transformer: Transformer-Based Code Comment Generation with Aligned Lexical and Syntactic Information

Youngmi Park, Ahjeong Park, Chulyun Kim

2023, IEEE Access

Slides Code

코드 주석 생성 품질 개선을 위한 AST 순회 방법에 관한 연구

Youngmi Park, Ahjeong Park, Chulyun Kim

2022 한국컴퓨터종합학술대회

Paper Poster Code

RNN의 새로운 앙상블 기법을 통한 Seq2Seq 모델 성능 개선

Ahjeong Park, Chulyun Kim

2021 한국소프트웨어종합학술대회

Paper Poster Code