Regional Patch-Based Feature Interpolation Method for Effective Regularization. - Soojin Jang; Kyohoon Jin; Junhyeok An; Young Bin Kim (IEEE Access, 2020)

Playtesting in Match 3 Game Using Strategic Plays via Reinforcement Learning. - Yuchul Shin; Jaewon Kim; Kyohoon Jin; Young Bin Kim (IEEE Access, 2020)

Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation. - Kyeongpil Kang; Kyohoon Jin; Soyoung Yang; Soojin Jang; Jaegul Choo; Youngbin Kim (NAACL-HLT, 2021)

Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation. - Kyeongpil Kang; Kyohoon Jin; Soyoung Yang; Sujin Jang; Jaegul Choo; Youngbin Kim (CoRR, 2021)

TrafficBERT: Pre-trained model with large-scale data for long-range traffic flow forecasting. - Kyohoon Jin; JeongA Wi; EunJu Lee 003; Shinjin Kang; SooKyun Kim; Youngbin Kim (Expert Syst. Appl., 2021)

Generative Data Augmentation via Wasserstein Autoencoder for Text Classification. - Kyohoon Jin; Junho Lee; Juhwan Choi; Soojin Jang; Youngbin Kim (ICTC, 2022)

SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels. - Juhwan Choi; Kyohoon Jin; Junho Lee; Sangmin Song; YoungBin Kim (Tiny Papers @ ICLR, 2023)

Game effect sprite generation with minimal data via conditional GAN. - JaeWon Kim; Kyohoon Jin; Soojin Jang; Shinjin Kang; Youngbin Kim (Expert Syst. Appl., 2023)

Weakly supervised semantic segmentation via Graph RecalibratiOn with Scaling Weight uNit. - Soojin Jang; June-Hyoung Kwon; Kyohoon Jin; Young-Bin Kim (Eng. Appl. Artif. Intell., 2023)

Development of robust detector using the weather deep generative model for outdoor monitoring system. - Kyohoon Jin; Kyung-Su Kang; Baek-Kyun Shin; June-Hyoung Kwon; Soojin Jang; Young-Bin Kim; Han Guk Ryu (Expert Syst. Appl., 2023)

Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation. - Kyohoon Jin; Junho Lee; Juhwan Choi; Sangmin Song; Youngbin Kim (LREC/COLING, 2024)

AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes. - Juhwan Choi; Kyohoon Jin; Junho Lee; Sangmin Song; YoungBin Kim (EACL (Student Research Workshop), 2024)

GPTs Are Multilingual Annotators for Sequence Generation Tasks. - Juhwan Choi; Eunju Lee 003; Kyohoon Jin; YoungBin Kim (EACL (Findings), 2024)

Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation. - Juhwan Choi; Jungmin Yun; Kyohoon Jin; Youngbin Kim (EMNLP, 2024)

PRISM: Personalizing Reporting With Intelligent Summarization Through Multiple Frames. - Kyohoon Jin; Sejin Paik; Jungmin Yun; Soojin Jang; Youngbin Kim (IEEE Access, 2024)

See, caption, cluster: Large-scale image analysis using captioning and topic modeling. - Kyeongpil Kang; Kyohoon Jin; Soojin Jang; Jaegul Choo; Youngbin Kim (Expert Syst. Appl., 2024)

SummPilot: Bridging Efficiency and Customization for Interactive Summarization System. - Jungmin Yun; Juhwan Choi; Kyohoon Jin; Soojin Jang; Jinhee Jang; YoungBin Kim (AAAI, 2025)

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models. - Kyeonghyun Kim; Jinhee Jang; Juhwan Choi; Yoonji Lee; Kyohoon Jin; YoungBin Kim (ACL (1), 2025)

Korean football in-game conversation state tracking dataset for dialogue and turn level evaluation. - Sangmin Song; Juhyoung Park; Juhwan Choi; Junho Lee; Kyohoon Jin; Youngbin Kim (Eng. Appl. Artif. Intell., 2025)

MHTS: Multi-Hop Tree Structure Framework for Generating Difficulty-Controllable QA Datasets for RAG Evaluation. - Jeongsoo Lee; Daeyong Kwon; Kyohoon Jin; Junnyeong Jeong; Minwoo Sim; Minwoo Kim (CoRR, 2025)