Gradient Inversion with Generative Image Prior. - Jinwoo Jeon; Jaechang Kim 001; Kangwook Lee 001; Sewoong Oh; Jungseul Ok (NeurIPS, 2021)

Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution. - Jaechang Kim 001; Yunjoo Lee; Seunghoon Hong; Jungseul Ok (ICASSP, 2022)

Activity-Informed Industrial Audio Anomaly Detection Via Source Separation. - Jaechang Kim 001; Yunjoo Lee; Hyun Mi Cho; Dong Woo Kim 002; Chi Hoon Song; Jungseul Ok (ICASSP, 2023)

Addressing Feature Imbalance in Sound Source Separation. - Jaechang Kim 001; Jeongyeon Hwang; Soheun Yi; Jaewoong Cho; Jungseul Ok (CoRR, 2023)

Activity-Guided Industrial Anomalous Sound Detection against Interferences. - Yunjoo Lee; Jaechang Kim 001; Jungseul Ok (CoRR, 2024)

Active Prompt Learning with Vision-Language Model Priors. - Hoyoung Kim; Seokhee Jin; Changhwan Sung; Jaechang Kim 001; Jungseul Ok (CoRR, 2024)

Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models. - Sungjae Lee; Hyejin Park 002; Jaechang Kim 001; Jungseul Ok (ACL (1), 2025)

Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation. - Jaechang Kim 001; Jinmin Goh; Inseok Hwang 001; Jaewoong Cho; Jungseul Ok (NAACL (Long Papers), 2025)