YunSeok Choi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

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Open Source Projects

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Publications

Jimin An, YunSeok Choi, Jee-Hyong Lee
Code Defect Detection Using Pre-trained Language Models with Encoder-Decoder via Line-Level Defect Localization. LREC/COLING (2024)
YunSeok Choi, Jee-Hyong Lee
CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation. ACL (Findings) (2023)
CheolWon Na, YunSeok Choi, Jee-Hyong Lee
DIP: Dead code Insertion based Black-box Attack for Programming Language Model. ACL (1) (2023)
YunSeok Choi, Hyojun Kim, Jee-Hyong Lee
BLOCSUM: Block Scope-based Source Code Summarization via Shared Block Representation. ACL (Findings) (2023)
YunSeok Choi, CheolWon Na, Hyojun Kim, Jee-Hyong Lee
READSUM: Retrieval-Augmented Adaptive Transformer for Source Code Summarization. IEEE Access 11 (2023)
Heeyoon Yang, YunSeok Choi, Gahyung Kim, Jee-Hyong Lee
LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup. SIGIR (2023)
YunSeok Choi, Hyojun Kim, Jee-Hyong Lee
TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search. EMNLP (2022)
Ida Ayu Putu Ari Crisdayanti, JinYeong Bak, YunSeok Choi, Jee-Hyong Lee
IA-BERT: context-aware sarcasm detection by incorporating incongruity attention layer for feature extraction. SAC (2022)
YunSeok Choi, JinYeong Bak, CheolWon Na, Jee-Hyong Lee
Learning Sequential and Structural Information for Source Code Summarization. ACL/IJCNLP (Findings) (2021)
Min-Sub Won, YunSeok Choi, Samuel Kim, CheolWon Na, Jee-Hyong Lee
An embedding method for unseen words considering contextual information and morphological information. SAC (2021)
YunSeok Choi, Suah Kim, Jee-Hyong Lee
Source Code Summarization Using Attention-Based Keyword Memory Networks. BigComp (2020)
HyunSoo Lee, YunSeok Choi, Jee-Hyong Lee
Attention history-based attention for abstractive text summarization. SAC (2020)
YunSeok Choi, Dahae Kim, Jee-Hyong Lee
Neural attention model with keyword memory for abstractive document summarization. Concurr. Comput. Pract. Exp. 32 (18) (2020)
Noo-Ri Kim, YunSeok Choi, HyunSoo Lee, Jae-Young Choi, Suntae Kim, Jeong-Ah Kim, YoungWha Cho, Jee-Hyong Lee
Detection of document modification based on deep neural networks. J. Ambient Intell. Humaniz. Comput. 9 (4) (2018)
YunSeok Choi, Dahae Kim, Jee-Hyong Lee
Abstractive summarization by neural attention model with document content memory. RACS (2018)
Noo-Ri Kim, YunSeok Choi, HyunSoo Lee, Jee-Hyong Lee
Detection of Content Changes Based on Deep Neural Networks. CSA/CUTE (2016)
YunSeok Choi, Suah Kim, Jee-Hyong Lee
Recurrent Neural Network for Storytelling. SCIS&ISIS (2016)