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portfolio

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publications

Recurrent Neural Network for Storytelling

Published in Proceedings of International Symposium on Advanced Intelligent Systems: SCIS-ISIS, 2016

Detection of Content Changes based on Deep Neural Networks

Published in Advances in Computer Science and Ubiquitous Computing: CSA-CUTE, 2016

Detection of Document Modification based on Deep Neural Networks

Published in Journal of Ambient Intelligence and Humanized Computing: JAIHC, 2017

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

Deep Convolutional Neural Network with Autocorrelograms for Environmental Sound Classification

Published in Proceedings of the 3rd Asian Conference on Artificial Intelligence Technology: ACAIT, 2019

Source Code Summarization Using Attention-Based Keyword Memory Networks

Published in Proceedings of IEEE International Conference on Big Data and Smart Computing: BigComp, 2020

Attention History-Based Attention for Abstractive Text Summarization

Published in Proceedings of the 35th Annual ACM Symposium on Applied Computing: ACM-SAC, 2020

Neural Attention Model with Keyword Memory for Abstractive Document Summarization

Published in Concurrency and Computation Practice and Experience: CCPE, 2020

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

Learning Sequential and Structural Information for Source Code Summarization

Published in Findings of the Association for Computational Linguistics: Findings of ACL, 2021

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

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

READSUM: Retrieval-Augmented Adaptive Transformer for Source Code Summarization

Published in IEEE Access, 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

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

Published in Findings of the Association for Computational Linguistics: Findings of ACL, 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

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

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

Published in LREC-Coling, 2024

paper

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015