Code Defect Detection using Pre-trained Language Models with Encoder-Decoder via Line-Level Defect Localization
Published in LREC-Coling, 2024
Publications
LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup
Published in Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval: SIGIR, 2023
DIP: Dead code Insertion based Black-box Attack for Programming Language Model
Published in Proceedings of the 2022 Conference on Association for Computational Linguistics: ACL, 2023
CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation
Published in Findings of the Association for Computational Linguistics: Findings of ACL, 2023
BLOCSUM: Block Scope-based Source Code Summarization via Shared Block Representation
Published in Findings of the Association for Computational Linguistics: Findings of ACL, 2023
READSUM: Retrieval-Augmented Adaptive Transformer for Source Code Summarization
Published in IEEE Access, 2023
TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search
Published in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP, 2022
IA-BERT: Context-Aware Sarcasm Detection by Incorporating Incongruity Attention Layer for Feature Extraction
Published in Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing: ACM-SAC, 2022
Learning Sequential and Structural Information for Source Code Summarization
Published in Findings of the Association for Computational Linguistics: Findings of ACL, 2021
An Embedding Method for Unseen Words Considering Contextual Information and Morphological Information
Published in Proceedings of the 36th Annual ACM Symposium on Applied Computing: ACM-SAC, 2021
Neural Attention Model with Keyword Memory for Abstractive Document Summarization
Published in Concurrency and Computation Practice and Experience: CCPE, 2020
Attention History-Based Attention for Abstractive Text Summarization
Published in Proceedings of the 35th Annual ACM Symposium on Applied Computing: ACM-SAC, 2020
Source Code Summarization Using Attention-Based Keyword Memory Networks
Published in Proceedings of IEEE International Conference on Big Data and Smart Computing: BigComp, 2020
Deep Convolutional Neural Network with Autocorrelograms for Environmental Sound Classification
Published in Proceedings of the 3rd Asian Conference on Artificial Intelligence Technology: ACAIT, 2019
Abstractive Summarization by Neural Attention Model with Document Content Memory
Published in Proceedings of Conference on Research in Adaptive and Convergent Systems: ACM-RACS, 2018
Detection of Document Modification based on Deep Neural Networks
Published in Journal of Ambient Intelligence and Humanized Computing: JAIHC, 2017
Detection of Content Changes based on Deep Neural Networks
Published in Advances in Computer Science and Ubiquitous Computing: CSA-CUTE, 2016
Recurrent Neural Network for Storytelling
Published in Proceedings of International Symposium on Advanced Intelligent Systems: SCIS-ISIS, 2016