MarsNet: Multi-Label Classification Network for Images of Various Sizes. - Ju-Youn Park; Yewon Hwang; Dukyoung Lee; Jong-Hwan Kim 001 (IEEE Access, 2020)

Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard. - Sahng-Min Yoo; Ue-Hwan Kim; Yewon Hwang; Jong-Hwan Kim 001 (IJCAI, 2021)

Deep Q-Network for AI Soccer. - Curie Kim; Yewon Hwang; Jong-Hwan Kim 001 (RiTA, 2022)

Self-Supervised Unimodal Label Generation Strategy Using Recalibrated Modality Representations for Multimodal Sentiment Analysis. - Yewon Hwang; Jong-Hwan Kim 001 (EACL (Findings), 2023)

Writing in the Air: Unconstrained Text Recognition From Finger Movement Using Spatio-Temporal Convolution. - Ue-Hwan Kim; Yewon Hwang; Sun-Kyung Lee 001; Jong-Hwan Kim 001 (IEEE Trans. Artif. Intell., 2023)

EASUM: Enhancing Affective State Understanding through Joint Sentiment and Emotion Modeling for Multimodal Tasks. - Yewon Hwang; Jong-Hwan Kim 001 (WACV, 2024)

Jump-Aware: Player Position Rectification and Identification in Dynamic Sports Using Jump Event Spotting. - Yin May Oo; Ankhzaya Jamsrandorj; Vanyi Chao; Hoang Quoc Nguyen; Yewon Hwang; Kyung-Ryoul Mun; Jinwook Kim (CVPR Workshops, 2025)

TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? - A Case Study on Korea Financial Texts. - Yewon Hwang; Sungbum Jung; Hanwool Lee; Sara Yu (CoRR, 2025)

NMIXX: Domain-Adapted Neural Embeddings for Cross-Lingual eXploration of Finance. - Hanwool Lee; Sara Yu; Yewon Hwang; Jonghyun Choi; Heejae Ahn; Sungbum Jung; Youngjae Yu (CoRR, 2025)