Publications

International Conference

• 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
• Recurrent Neural Network for Storytelling
  YunSeok Choi, Suah Kim, and Jee-Hyong Lee
  SCIS-ISIS 2016

International Journal

• 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