Woohwan Jung

Orcid: 0000-0003-4561-2214

According to our database1, Woohwan Jung authored at least 24 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Cardinality Estimation of LIKE Predicate Queries using Deep Learning.
Proc. ACM Manag. Data, February, 2025

A Single Model Ensemble Framework for Neural Machine Translation using Pivot Translation.
CoRR, February, 2025

Improving Detail in Pluralistic Image Inpainting with Feature Dequantization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Improving Messenger Phishing Detection Using Heterogeneous Phishing Data.
Proceedings of the International Conference on Electronics, Information, and Communication, 2025

Data Augmentation for Messenger Phishing Detection Using Large Language Models.
Proceedings of the International Conference on Electronics, Information, and Communication, 2025

Semi-supervised Learning for Photovoltaic Cell Defect Detection Using Module and Cell-Level Labels.
Proceedings of the International Conference on Electronics, Information, and Communication, 2025

DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documents.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Beyond Reference: Evaluating High Quality Translations Better than Human References.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Collecting Geospatial Data Under Local Differential Privacy With Improving Frequency Estimation.
IEEE Trans. Knowl. Data Eng., July, 2023

Data Augmentation for Neural Machine Translation using Generative Language Model.
CoRR, 2023

Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

THUNDER: Named Entity Recognition Using a Teacher-Student Model with Dual Classifiers for Strong and Weak Supervisions.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Cardinality Estimation of Approximate Substring Queries using Deep Learning.
Proc. VLDB Endow., 2022

2021
TIDY: Publishing a Time Interval Dataset With Differential Privacy.
IEEE Trans. Knowl. Data Eng., 2021

Collecting Geospatial Data with Local Differential Privacy for Personalized Services.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
TIDY: Publishing a Time Interval Dataset with Differential Privacy (Extended abstract).
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

T-REX: A Topic-Aware Relation Extraction Model.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion.
Proceedings of the Advances in Database Technology, 2019

2017
Integration of graphs from different data sources using crowdsourcing.
Inf. Sci., 2017


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