Concurrent simulation platform for energy-aware smart metering systems. - Seunghyun Park 001; Hanjoo Kim; Hichan Moon; Jun Heo 002; Sungroh Yoon (IEEE Trans. Consumer Electron., 2010)

HiTRACE: high-throughput robust analysis for capillary electrophoresis. - Sungroh Yoon; Jinkyu Kim 001; Justine Hum; Hanjoo Kim; Seunghyun Park 001; Wipapat Kladwang; Rhiju Das (Bioinform., 2011)

In-depth analysis of interrelation between quality scores and real errors in illumina reads. - Sunyoung Kwon; Seunghyun Park 001; Byunghan Lee; Sungroh Yoon (EMBC, 2013)

Computational prediction of competitive endogenous RNA. - Seunghyun Park 001; Soowon Kang; Hyeyoung Min; Sungroh Yoon (BioCAS, 2015)

deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks. - Byunghan Lee; Junghwan Baek; Seunghyun Park 001; Sungroh Yoon (BCB, 2016)

deepMiRGene: Deep Neural Network based Precursor microRNA Prediction. - Seunghyun Park 001; Seonwoo Min; Hyun-Soo Choi; Sungroh Yoon (CoRR, 2016)

Deep Recurrent Neural Network-Based Identification of Precursor microRNAs. - Seunghyun Park 001; Seonwoo Min; Hyun-Soo Choi; Sungroh Yoon (NIPS, 2017)

Interpretable Prediction of Vascular Diseases from Electronic Health Records via Deep Attention Networks. - Seunghyun Park 001; You Jin Kim; Jeong-Whun Kim; Jin Joo Park; Borim Ryu; Jung-Woo Ha 001 (BIBE, 2018)

hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units Based on Homopolymer Compaction. - Seunghyun Park 001; Hyun-Soo Choi; Byunghan Lee; Jongsik Chun; Joong-Ho Won; Sungroh Yoon (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization. - Wonseok Hwang; Jinyeung Yim; Seunghyun Park 001; Minjoon Seo (CoRR, 2019)

Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information. - Seonwoo Min; Seunghyun Park 001; Siwon Kim; Hyun-Soo Choi; Sungroh Yoon (CoRR, 2019)

Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing. - Wonseok Hwang; Jinyeong Yim; Seunghyun Park 001; Minjoon Seo (AKBC, 2020)

Spatial Dependency Parsing for 2D Document Understanding. - Wonseok Hwang; Jinyeong Yim; Seunghyun Park 001; Sohee Yang; Minjoon Seo (CoRR, 2020)

Spatial Dependency Parsing for Semi-Structured Document Information Extraction. - Wonseok Hwang; Jinyeong Yim; Seunghyun Park 001; Sohee Yang; Minjoon Seo (ACL/IJCNLP (Findings), 2021)

SelfReg: Self-supervised Contrastive Regularization for Domain Generalization. - Daehee Kim 003; Youngjun Yoo; Seunghyun Park 001; Jinkyu Kim 001; Jaekoo Lee (ICCV, 2021)

SWAD: Domain Generalization by Seeking Flat Minima. - Junbum Cha; Sanghyuk Chun; Kyungjae Lee; Han-Cheol Cho; Seunghyun Park 001; Yunsung Lee; Sungrae Park (NeurIPS, 2021)

Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information. - Seonwoo Min; Seunghyun Park 001; Siwon Kim; Hyun-Soo Choi; Byunghan Lee; Sungroh Yoon (IEEE Access, 2021)

Domain Generalization Needs Stochastic Weight Averaging for Robustness on Domain Shifts. - Junbum Cha; Hancheol Cho; Kyungjae Lee; Seunghyun Park 001; Yunsung Lee; Sungrae Park (CoRR, 2021)

SelfReg: Self-supervised Contrastive Regularization for Domain Generalization. - Daehee Kim 003; Seunghyun Park 001; Jinkyu Kim 001; Jaekoo Lee (CoRR, 2021)

Donut: Document Understanding Transformer without OCR. - Geewook Kim; Teakgyu Hong; Moonbin Yim; Jinyoung Park; Jinyeong Yim; Wonseok Hwang; Sangdoo Yun; Dongyoon Han; Seunghyun Park 001 (CoRR, 2021)

OCR-Free Document Understanding Transformer. - Geewook Kim; Teakgyu Hong; Moonbin Yim; JeongYeon Nam; Jinyoung Park; Jinyeong Yim; Wonseok Hwang; Sangdoo Yun; Dongyoon Han; Seunghyun Park 001 (ECCV (28), 2022)

Grounding Visual Representations with Texts for Domain Generalization. - Seonwoo Min; Nokyung Park; Siwon Kim; Seunghyun Park 001; Jinkyu Kim 001 (ECCV (37), 2022)

Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching. - Geewook Kim; Wonseok Hwang; Minjoon Seo; Seunghyun Park 001 (CoRR, 2022)

DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting. - Seonghyeon Kim; Seung Shin; Yoonsik Kim; Hancheol Cho; Taeho Kil; Jaeheung Surh; Seunghyun Park 001; Bado Lee; Youngmin Baek (CoRR, 2022)

Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. - Geewook Kim; Hodong Lee; Daehee Kim 003; Haeji Jung; Sanghee Park; Yoonsik Kim; Sangdoo Yun; Taeho Kil; Bado Lee; Seunghyun Park 001 (EMNLP, 2023)

An Embedding-Dynamic Approach to Self-Supervised Learning. - Suhong Moon; Domas Buracas; Seunghyun Park 001; Jinkyu Kim 001; John F. Canny (WACV, 2023)

Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. - Geewook Kim; Hodong Lee; Daehee Kim 003; Haeji Jung; Sanghee Park; Yoonsik Kim; Sangdoo Yun; Taeho Kil; Bado Lee; Seunghyun Park 001 (CoRR, 2023)

EGTR: Extracting Graph from Transformer for Scene Graph Generation. - Jinbae Im; JeongYeon Nam; Nokyung Park; Hyungmin Lee; Seunghyun Park 001 (CVPR, 2024)

CREPE: Coordinate-Aware End-to-End Document Parser. - Yamato Okamoto; Youngmin Baek; Geewook Kim; Ryota Nakao; DongHyun Kim; Moonbin Yim; Seunghyun Park 001; Bado Lee (ICDAR (4), 2024)

Text-Driven Prototype Learning for Few-Shot Class-Incremental Learning. - Seongbeom Park; Haeji Jung; Daewon Chae; Hyunju Yun; Sungyoon Kim; Suhong Moon; Jinkyu Kim 001; Seunghyun Park 001 (ICPR (9), 2024)

Localization and Manipulation of Immoral Visual Cues for Safe Text-to-Image Generation. - Seongbeom Park; Suhong Moon; Seunghyun Park 001; Jinkyu Kim 001 (WACV, 2024)