Publications

Code Defect Detection using Pre-trained Language Models with Encoder-Decoder via Line-Level Defect Localization

Jimin An*, YunSeok Choi* and Jee-Hyong Lee (* Equal Contribution)

LREC-COLING 2024

CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation

YunSeok Choi and Jee-Hyong Lee

Findings of ACL 2023

BLOCSUM: Block Scope-based Source Code Summarization via Shared Block Representation

YunSeok Choi, Hyojun Kim, and Jee-Hyong Lee

Findings of ACL 2023

DIP: Dead code Insertion based Black-box Attack for Programming Language Model

CheolWon Na, YunSeok Choi, and Jee-Hyong Lee

ACL 2023

LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup

Heeyoon Yang, YunSeok Choi, Gahyung Kim, and Jee-Hyong Lee

SIGIR 2023

TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search

YunSeok Choi, Hyojun Kim, and Jee-Hyong Lee

EMNLP 2022

IA-BERT: Context-Aware Sarcasm Detection by Incorporating Incongruity Attention Layer for Feature Extraction

Ida Ayu Putu Ari Crisdayanti, JinYeong Bak, YunSeok Choi, and Jee-Hyong Lee

ACM-SAC 2022

Learning Sequential and Structural Information for Source Code Summarization

YunSeok Choi, JinYeong Bak, CheolWon Na, and Jee-Hyong Lee

Findings of ACL 2021

An Embedding Method for Unseen Words Considering Contextual Information and Morphological Information

Min-Sub Won, YunSeok Choi, Samuel Kim, CheolWon Na, and Jee-Hyong Lee

ACM-SAC 2021

Attention History-Based Attention for Abstractive Text Summarization

Hyunsoo Lee, YunSeok Choi, and Jee-Hyong Lee

ACM-SAC 2020

Source Code Summarization Using Attention-Based Keyword Memory Networks

YunSeok Choi, Suah Kim, and Jee-Hyong Lee

BigComp 2020

Deep Convolutional Neural Network with Autocorrelograms for Environmental Sound Classification

WonKyu Lee, YunSeok Choi, and Jee-Hyong Lee

ACAIT 2019

Abstractive Summarization by Neural Attention Model with Document Content Memory

YunSeok Choi, Dahae Kim, and Jee-Hyong Lee

ACM-RACS 2018

READSUM: Retrieval-Augmented Adaptive Transformer for Source Code Summarization

YunSeok Choi, Hyojun Kim, and Jee-Hyong Lee

IEEE Access 2023 (SCIE)

Neural Attention Model with Keyword Memory for Abstractive Document Summarization

YunSeok Choi, Dahae Kim, and Jee-Hyong Lee

CCPE 2020 (SCIE)

Detection of Document Modification based on Deep Neural Networks

Noo-ri Kim, YunSeok Choi, HyunSoo Lee, Jae-Young Choi, Suntae Kim, Jeong-Ah Kim, Youngwha Cho, and Jee-Hyong Lee

JAIHC 2018 (SCIE)

Detection of Content Changes based on Deep Neural Networks

Noo-ri Kim, YunSeok Choi, HyunSoo Lee, and Jee-Hyong Lee

SA&CUTE 2016