Selected publications

• Kyungri Park, Woohwan Jung, "Improving Detail in Pluralistic Image Inpainting with Feature Dequantization", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025 (accepted)

• Keonwoong Noh, Seokjin Oh, Woohwan Jung, "Beyond Reference: Evaluating High Quality Translations Better than Human References", Empirical Methods in Natural Language Processing (EMNLP), 2024 (accepted)

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

• Su Ah Lee, Seokjin Oh, Woohwan Jung, "Enhancing Low-Resource Fine-Grained Named Entity Recognition by Leveraging Coarse-Grained Datasets", Empirical Methods in Natural Language Processing (EMNLP), 2023

• Jaeyoung Choe, Keonwoong Noh, Nayeon Kim, Seyun Ahn, Woohwan Jung, "Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models" Empirical Methods in Natural Language Processing (EMNLP), 2023 (Findings)

• Seongwoon Oh, Woohwan Jung, and Kyuseok Shim, "THUNDER: Named Entity Recognition using a Teacher-student Model with Dual Classifiers for Strong and Weak Supervisions”, European Conference on Artificial Intelligence (ECAI), 2023 [Code]

• Suyong Kwon, Woohwan Jung, and Kyuseok Shim, "Cardinality Estimation of Approximate Substring Queries using Deep Learning ”, International Conference on Very Large Databases  (VLDB), 2022 [Code]

• Daeyoung Hong, Woohwan Jung, and Kyuseok Shim, ”Collecting Geospatial Data under Local Differential Privacy with Improving Frequency Estimation.” IEEE Transactions on Knowledge and Data Engineering  (IEEE TKDE), (2022) (SCI) [Code] 

• Daeyoung Hong, Woohwan Jung, and Kyuseok Shim, ”Collecting Geospatial Data for Personalized Services with Local Differential Privacy.” IEEE International Conference on Data Engineering (ICDE), 2021 [Code]

• Woohwan Jung, Kyuseok Shim, "Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation", International Conference on Computational Linguistics (COLING), 2020  [Code] (Outstanding paper)

• Woohwan Jung, Kyuseok Shim, "T-REX: A Topic-Aware Relation Extraction Model", ACM Conference on Information and Knowledge Management (CIKM), 2020 [Code] 

• Woohwan Jung, Suyong Kwon and Kyuseok Shim, ”TIDY: Publishing a Time Interval Dataset with Differential Privacy.” IEEE Transactions on Knowledge and Data Engineering, 2019  (SCI)

• Woohwan Jung, Younghoon Kim, Kyuseok Shim, "Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion", Extending Database Technology (EDBT), 2019 [Datasets] [Code] 

• Younghoon Kim, Woohwan Jung, Kyuseok Shim, "Integration of graphs from different data sources using crowdsourcing", Information Sciences, Volume 385, 2017, Pages 438-456 (SCI)