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Woohwan Jung

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2020 – today

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2025
[j5]
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Suyong Kwon, Kyuseok Shim, Woohwan Jung:
Cardinality Estimation of LIKE Predicate Queries using Deep Learning. Proc. ACM Manag. Data 3(1): 20:1-20:26 (2025)
[c19]
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Jaeyoung Choe, Jihoon Kim, Woohwan Jung:
Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documents. ACL (Findings) 2025: 16663-16681
[c18]
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Injae Na, Keonwoong Noh, Woohwan Jung:
Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language Models. ACL (Findings) 2025: 16987-17004
[c17]
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Daeyoung Hong, Woohwan Jung, Kyuseok Shim:
DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters. COLING 2025: 6966-6984
[c16]
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Nayoung Gil, Kyungri Park, Daeyun Jeong, Woohwan Jung:
Semi-supervised Learning for Photovoltaic Cell Defect Detection Using Module and Cell-Level Labels. ICEIC 2025: 1-4
[c15]
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Keonwoong Noh, Seokjin Oh, Sunyub Kim, Dohyung An, Woohwan Jung:
Data Augmentation for Messenger Phishing Detection Using Large Language Models. ICEIC 2025: 1-3
[c14]
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Seokjin Oh, Keonwoong Noh, Sunyub Kim, Dohyung An, Woohwan Jung:
Improving Messenger Phishing Detection Using Heterogeneous Phishing Data. ICEIC 2025: 1-3
[c13]
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Jian Kim, Woohwan Jung:
CARE: A Framework for Correcting Numerical Hallucinations in LLM-Generated Financial Texts. CAI 2025: 69-74
[c12]
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Kyungri Park, Woohwan Jung:
Improving Detail in Pluralistic Image Inpainting with Feature Dequantization. WACV 2025: 680-689
[i10]
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  - journals/corr/abs-2502-01182
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Seokjin Oh, Keonwoong Noh, Woohwan Jung:
A Single Model Ensemble Framework for Neural Machine Translation using Pivot Translation. CoRR abs/2502.01182 (2025)
[i9]
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  - journals/corr/abs-2505-20368
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Jaeyoung Choe, Jihoon Kim, Woohwan Jung:
Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documents. CoRR abs/2505.20368 (2025)
[i8]
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  - journals/corr/abs-2505-20921
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Injae Na, Keonwoong Noh, Woohwan Jung:
Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language Models. CoRR abs/2505.20921 (2025)
2024
[c11]
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Keonwoong Noh, Seokjin Oh, Woohwan Jung:
Beyond Reference: Evaluating High Quality Translations Better than Human References. EMNLP 2024: 5111-5127
[c10]
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  - conf/interspeech/SuhNJ24
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Jiwon Suh, Injae Na, Woohwan Jung:
Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions. INTERSPEECH 2024
[c9]
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Jemin Ahn, Dorian Akhavan, Woohwan Jung, Kyungtae Kang, Junggab Son:
Encoder-Based Multimodal Ensemble Learning for High Compatibility and Accuracy in Phishing Website Detection. SecureComm (3) 2024: 347-365
[i7]
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  - journals/corr/abs-2407-17874
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Jiwon Suh, Injae Na, Woohwan Jung:
Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions. CoRR abs/2407.17874 (2024)
[i6]
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  - journals/corr/abs-2412-01046
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Kyungri Park, Woohwan Jung:
Improving Detail in Pluralistic Image Inpainting with Feature Dequantization. CoRR abs/2412.01046 (2024)
2023
[j4]
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Daeyoung Hong, Woohwan Jung, Kyuseok Shim:
Collecting Geospatial Data Under Local Differential Privacy With Improving Frequency Estimation. IEEE Trans. Knowl. Data Eng. 35(7): 6739-6751 (2023)
[c8]
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Seongwoong Oh, Woohwan Jung, Kyuseok Shim:
THUNDER: Named Entity Recognition Using a Teacher-Student Model with Dual Classifiers for Strong and Weak Supervisions. ECAI 2023: 1795-1802
[c7]
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Jaeyoung Choe, Keonwoong Noh, Nayeon Kim, Seyun Ahn, Woohwan Jung:
Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models. EMNLP (Findings) 2023: 2101-2112
[c6]
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Su Ah Lee, Seokjin Oh, Woohwan Jung:
Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets. EMNLP 2023: 3269-3279
[i5]
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  - journals/corr/abs-2307-16833
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Seokjin Oh, Su Ah Lee, Woohwan Jung:
Data Augmentation for Neural Machine Translation using Generative Language Model. CoRR abs/2307.16833 (2023)
[i4]
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  - journals/corr/abs-2310-11715
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Su Ah Lee, Seokjin Oh, Woohwan Jung:
Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets. CoRR abs/2310.11715 (2023)
[i3]
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  - journals/corr/abs-2310-13312
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Jaeyoung Choe, Keonwoong Noh, Nayeon Kim, Seyun Ahn, Woohwan Jung:
Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models. CoRR abs/2310.13312 (2023)
2022
[j3]
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Suyong Kwon, Woohwan Jung, Kyuseok Shim:
Cardinality Estimation of Approximate Substring Queries using Deep Learning. Proc. VLDB Endow. 15(11): 3145-3157 (2022)
2021
[j2]
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Woohwan Jung, Suyong Kwon, Kyuseok Shim:
TIDY: Publishing a Time Interval Dataset With Differential Privacy. IEEE Trans. Knowl. Data Eng. 33(5): 2280-2294 (2021)
[c5]
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Daeyoung Hong, Woohwan Jung, Kyuseok Shim:
Collecting Geospatial Data with Local Differential Privacy for Personalized Services. ICDE 2021: 2237-2242
2020
[c4]
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Woohwan Jung, Kyuseok Shim:
T-REX: A Topic-Aware Relation Extraction Model. CIKM 2020: 2073-2076
[c3]
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Woohwan Jung, Kyuseok Shim:
Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation. COLING 2020: 6411-6423
[c2]
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Woohwan Jung, Suyong Kwon, Kyuseok Shim:
TIDY: Publishing a Time Interval Dataset with Differential Privacy (Extended abstract). ICDE 2020: 2020-2021
[i2]
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  - journals/corr/abs-2011-11851
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Woohwan Jung, Kyuseok Shim:
Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation. CoRR abs/2011.11851 (2020)

2010 – 2019

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2019
[c1]
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Woohwan Jung, Younghoon Kim, Kyuseok Shim:
Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion. EDBT 2019: 205-216
[i1]
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  - journals/corr/abs-1904-10217
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Woohwan Jung, Younghoon Kim, Kyuseok Shim:
Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion. CoRR abs/1904.10217 (2019)
2017
[j1]
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Younghoon Kim, Woohwan Jung, Kyuseok Shim:
Integration of graphs from different data sources using crowdsourcing. Inf. Sci. 385: 438-456 (2017)

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