| 2025 | EMNLP | ZERA: Zero-init Instruction Evolving Refinement Agent - From Zero Instructions to Structured Prompts via Principle-based Optimization. | Seungyoun Yi, Minsoo Khang, Sungrae Park |
| 2025 | ICDAR | KIEval: Evaluation Metric for Document Key Information Extraction. | Minsoo Khang, Sang Chul Jung, Sungrae Park, Teakgyu Hong |
| 2024 | AAAI | SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression. | Qingwen Bu, Sungrae Park, Minsoo Khang, Yichuan Cheng |
| 2022 | AAAI | BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents. | Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park |
| 2022 | ECCV | Domain Generalization by Mutual-Information Regularization with Pre-trained Models. | Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun |
| 2022 | ECCV | Multi-modal Text Recognition Networks: Interactive Enhancements Between Visual and Semantic Features. | Byeonghu Na, Yoonsik Kim, Sungrae Park |
| 2022 | WWW | Contrastive Learning for Knowledge Tracing. | Wonsung Lee, Jaeyoon Chun, Youngmin Lee, Kyoungsoo Park, Sungrae Park |
| 2021 | AAAI | Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. | Mingi Ji, Byeongho Heo, Sungrae Park |
| 2021 | ICDAR | SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models. | Moonbin Yim, Yoonsik Kim, Hancheol Cho, Sungrae Park |
| 2020 | COLING | Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model. | Sungrae Park, Geewook Kim, Junyeop Lee, Junbum Cha, Ji-Hoon Kim, Hwalsuk Lee |
| 2020 | CVPR | CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks. | Youngmin Baek, Daehyun Nam, Sungrae Park, Junyeop Lee, Seung Shin, Jeonghun Baek, Chae Young Lee, Hwalsuk Lee |
| 2020 | CVPR | On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention. | Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee |
| 2020 | ECCV | Character Region Attention for Text Spotting. | Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee, Daehyun Nam, Hwalsuk Lee |
| 2019 | AAAI | Adversarial Dropout for Recurrent Neural Networks. | Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon |
| 2019 | AAAI | Hierarchical Context Enabled Recurrent Neural Network for Recommendation. | Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon |
| 2019 | ICCV | What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. | Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee |
| 2018 | AAAI | Adversarial Dropout for Supervised and Semi-Supervised Learning. | Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon |
| 2018 | ICDM | Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling. | Wonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon |
| 2015 | CIKM | Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series. | Sungrae Park, Wonsung Lee, Il-Chul Moon |
| 2015 | ICDM | Hierarchical Prescription Pattern Analysis with Symptom Labels. | Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon |
| 2014 | SMC | Disease-medicine topic model for prescription record mining. | Sungrae Park, Doosup Choi, Wonsung Lee, Dain Jung, Minki Kim, Il-Chul Moon |