Natural Language Processing, Multimodal Learning, Generative AI, Recommendation System
학력
(Ph.D.) 2016.03 - 2024.02, 소프트웨어학과, 성균관대학교
(B.S.) 2012.03 - 2016.02, 소프트웨어학과, 성균관대학교
약력/경력
2024.09 - 현재, 조교수, 성균관대학교 컴퓨터교육과
2024.03 - 2024.08, 조교수, 한국외국어대학교 Language&AI융합학부
학술지 논문
(2024)
A Study of Defect Detection using External Knowledge Prompt with Pre-trained Language Models on Code.
Journal of Korean Institute of Intelligent Systems.
34,
2
(2020)
Neural Attention Model with Keyword Memory for Abstractive Document Summarization.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE.
32,
18
(2017)
Detection of Document Modification based on Deep Neural Networks.
Journal of Ambient Intelligence and Humanized Computing.
9,
1
(2016)
Detection of Content Changes based on Deep Neural Networks.
Lecture Notes in Electrical Engineering.
421,
1
학술회의논문
(2024)
Code Defect Detection using Pre-trained Language Models with Encoder-Decoder via Line-Level Defect Localization.
International Conference on Computational Linguistics.
이탈리아
(2023)
LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup.
ACM SIGIR Conference on Information Retrieval.
대만
(2023)
BLOCSUM: Block Scope-based Source Code Summarization via Shared Block Representation.
Annual Meeting of the Association for Computational Linguistics.
캐나다
(2023)
CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation.
Annual Meeting of the Association for Computational Linguistics.
캐나다
(2023)
DIP: Dead code Insertion based Black-box Attack for Programming Language Model.
Annual Meeting of the Association for Computational Linguistics.
캐나다
(2022)
TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search.
Empirical Methods in Natural Language Processing.
아랍에미리트
(2022)
IA-BERT: Context-aware Sarcasm Detection by Incorporating Incongruity Attention Layer for Feature Extraction.
ACM SIGAPP Symposium on Applied Computing.
미국
(2021)
Learning Sequential and Structural Information for Source Code Summarization.
Annual Meeting of the Association for Computational Linguistics.
태국
(2021)
An Embedding Method for Unseen Words Considering Contextual Information and Morphological Information.
ACM SIGAPP Symposium on Applied Computing.
대한민국
(2020)
Attention History-Based Attention for Abstractive Text Summarization.
ACM SIGAPP Symposium on Applied Computing.
체코
(2020)
Source Code Summarization Using Attention-Based Keyword Memory Networks.
IEEE International Conference on Big Data and Smart Computing.
대한민국
(2018)
Abstractive Summarization by Neural Attention Model with Document Content Memory.
Conference on Research in Adaptive and Convergent Systems.
미국
(2016)
Recurrent Neural Network for Storytelling.
International Symposium on Advanced Intelligent Systems.
일본
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