Integration of graphs from different data sources using crowdsourcing. - Younghoon Kim; Woohwan Jung; Kyuseok Shim (Inf. Sci., 2017)

Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion. - Woohwan Jung; Younghoon Kim; Kyuseok Shim (EDBT, 2019)

T-REX: A Topic-Aware Relation Extraction Model. - Woohwan Jung; Kyuseok Shim (CIKM, 2020)

Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation. - Woohwan Jung; Kyuseok Shim (COLING, 2020)

TIDY: Publishing a Time Interval Dataset with Differential Privacy (Extended abstract). - Woohwan Jung; Suyong Kwon; Kyuseok Shim (ICDE, 2020)

Collecting Geospatial Data with Local Differential Privacy for Personalized Services. - Daeyoung Hong; Woohwan Jung; Kyuseok Shim (ICDE, 2021)

TIDY: Publishing a Time Interval Dataset With Differential Privacy. - Woohwan Jung; Suyong Kwon; Kyuseok Shim (IEEE Trans. Knowl. Data Eng., 2021)

Cardinality Estimation of Approximate Substring Queries using Deep Learning. - Suyong Kwon; Woohwan Jung; Kyuseok Shim (Proc. VLDB Endow., 2022)

THUNDER: Named Entity Recognition Using a Teacher-Student Model with Dual Classifiers for Strong and Weak Supervisions. - Seongwoong Oh; Woohwan Jung; Kyuseok Shim (ECAI, 2023)

Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models. - Jaeyoung Choe; Keonwoong Noh; Nayeon Kim 007; Seyun Ahn; Woohwan Jung (EMNLP (Findings), 2023)

Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets. - Su Ah Lee; Seokjin Oh; Woohwan Jung (EMNLP, 2023)

Data Augmentation for Neural Machine Translation using Generative Language Model. - Seokjin Oh; Su Ah Lee; Woohwan Jung (CoRR, 2023)

Collecting Geospatial Data Under Local Differential Privacy With Improving Frequency Estimation. - Daeyoung Hong; Woohwan Jung; Kyuseok Shim (IEEE Trans. Knowl. Data Eng., 2023)

Beyond Reference: Evaluating High Quality Translations Better than Human References. - Keonwoong Noh; Seokjin Oh; Woohwan Jung (EMNLP, 2024)

Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions. - Jiwon Suh; Injae Na; Woohwan Jung (INTERSPEECH, 2024)

Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documents. - Jaeyoung Choe; Jihoon Kim; Woohwan Jung (ACL (Findings), 2025)

Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language Models. - Injae Na; Keonwoong Noh; Woohwan Jung (ACL (Findings), 2025)

DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters. - Daeyoung Hong; Woohwan Jung; Kyuseok Shim (COLING, 2025)

Semi-supervised Learning for Photovoltaic Cell Defect Detection Using Module and Cell-Level Labels. - Nayoung Gil; Kyungri Park; Daeyun Jeong; Woohwan Jung (ICEIC, 2025)

Data Augmentation for Messenger Phishing Detection Using Large Language Models. - Keonwoong Noh; Seokjin Oh; Sunyub Kim; Dohyung An; Woohwan Jung (ICEIC, 2025)

Improving Messenger Phishing Detection Using Heterogeneous Phishing Data. - Seokjin Oh; Keonwoong Noh; Sunyub Kim; Dohyung An; Woohwan Jung (ICEIC, 2025)

Improving Detail in Pluralistic Image Inpainting with Feature Dequantization. - Kyungri Park; Woohwan Jung (WACV, 2025)

A Single Model Ensemble Framework for Neural Machine Translation using Pivot Translation. - Seokjin Oh; Keonwoong Noh; Woohwan Jung (CoRR, 2025)

Cardinality Estimation of LIKE Predicate Queries using Deep Learning. - Suyong Kwon; Kyuseok Shim; Woohwan Jung (Proc. ACM Manag. Data, 2025)