Online adaptation using speatransformation space model evolution. - Dong Kook Kim; Young Joon Kim; Woohyung Lim; Nam Soo Kim (ICASSP (1), 2003)

Feature compensation technique for robust speech recognition in noisy environments. - Young Joon Kim; Hyun Woo Kim; Woohyung Lim; Nam Soo Kim (INTERSPEECH, 2003)

Feature compensation based on switching linear dynamic model and soft decision. - Woohyung Lim; Bong Kyoung Kim; Nam Soo Kim (INTERSPEECH, 2005)

Feature compensation based on switching linear dynamic model. - Nam Soo Kim; Woohyung Lim; Richard M. Stern (IEEE Signal Process. Lett., 2005)

An approach to robust unsupervised speaker adaptation. - Nam Soo Kim; Dong Jin Seo; Woohyung Lim (IEEE Signal Process. Lett., 2005)

Signal modification incorporating perceptual weighting filter. - Joon-Hyuk Chang; Woohyung Lim; Nam Soo Kim (INTERSPEECH, 2006)

Clean speech feature estimation based on soft spectral masking. - Young Joon Kim; Woohyung Lim; Nam Soo Kim (INTERSPEECH, 2006)

Feature Compensation using More Accurate Statistics of Modeling Error. - Woohyung Lim; Jong Kyu Kim; Nam Soo Kim (ICASSP (4), 2007)

Speech reinforcement based on partial specific loudness. - Jong Won Shin; Woohyung Lim; June Sig Sung; Nam Soo Kim (INTERSPEECH, 2007)

Feature Compensation Incorporating Modeling Error Statistics. - Woohyung Lim; Nam Soo Kim (IEEE Signal Process. Lett., 2007)

Cepstral domain feature compensation based on diagonal approximation. - Woohyung Lim; Chang Woo Han; Jong Won Shin; Nam Soo Kim (ICASSP, 2008)

Computationally Efficient Cepstral Domain Feature Compensation. - Woohyung Lim; Chang Woo Han; Nam Soo Kim (IEICE Trans. Inf. Syst., 2009)

AIX: A high performance and energy efficient inference accelerator on FPGA for a DNN-based commercial speech recognition. - Minwook Ahn; Seok Joong Hwang; Wonsub Kim; Seungrok Jung; Yeonbok Lee; Mookyoung Chung; Woohyung Lim; Young Joon Kim (DATE, 2019)

Symbolic Music Loop Generation with VQ-VAE. - Sangjun Han; Hyeongrae Ihm; Woohyung Lim (CoRR, 2021)

Symbolic Music Loop Generation with Neural Discrete Representations. - Sangjun Han; Hyeongrae Ihm; Moontae Lee; Woohyung Lim (ISMIR, 2022)

Instrument Separation of Symbolic Music by Explicitly Guided Diffusion Model. - Sangjun Han; Hyeongrae Ihm; DaeHan Ahn; Woohyung Lim (CoRR, 2022)

Multi-Resolution Sequence Aggregation and Model-Agnostic Framework for Time-Series Forecasting. - Juhyun Lyu; Jinseok Yang; Junghee Kim; Woohyung Lim; Wonbin Ahn; Dongwan Kang; Minjae Kim; Nam Soo Kim (ICASSP, 2023)

Systematic Analysis of Music Representations from BERT. - Sangjun Han; Hyeongrae Ihm; Woohyung Lim (CoRR, 2023)

Gradient Surgery for One-shot Unlearning on Generative Model. - Seohui Bae; Seoyoon Kim; Hyemin Jung; Woohyung Lim (CoRR, 2023)

Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms? - Chanhui Lee; Juhyeon Kim; Yongjun Jeong; Juhyun Lyu; Junghee Kim; Sangmin Lee; Sangjun Han; Hyeokjun Choe; Soyeon Park; Woohyung Lim; Sungbin Lim; Sanghack Lee (CoRR, 2023)

Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning. - Sunghoon Hong; Deunsol Yoon; Whiyoung Jung; Jinsang Lee; Hyundam Yoo; Jiwon Ham; Suhyun Jung; Chanwoo Moon; Yeontae Jung; Kanghoon Lee; Woohyung Lim; Somin Jeon; et al. (AAMAS, 2024)

Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks. - Sung Moon Ko; Sumin Lee; Dae-Woong Jeong; Woohyung Lim; Sehui Han (ICLR, 2024)

Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains. - Kyungeun Lee; Ye Seul Sim; Hye-Seung Cho; Moonjung Eo; Suhee Yoon; Sanghyu Yoon; Woohyung Lim (ICML, 2024)

EXAONE 3.0 7.8B Instruction Tuned Language Model. - Soyoung An; Kyunghoon Bae; Eunbi Choi; Stanley Jungkyu Choi; Yemuk Choi; Seokhee Hong; Yeonjung Hong; Junwon Hwang; Hyojin Jeon; Gerrard Jeongwon Jo; Hyunjik Jo; Jiyeon Jung; et al. (CoRR, 2024)

Flexible Control in Symbolic Music Generation via Musical Metadata. - Sangjun Han; Jiwon Ham; Chaeeun Lee; Heejin Kim; Soojong Do; Sihyuk Yi; Jun Seo; Seoyoon Kim; Yountae Jung; Woohyung Lim (CoRR, 2024)

EXAONE 3.5: Series of Large Language Models for Real-world Use Cases. - LG AI Research; Soyoung An; Kyunghoon Bae; Eunbi Choi; Kibong Choi; Stanley Jungkyu Choi; Seokhee Hong; Junwon Hwang; Hyojin Jeon; Gerrard Jeongwon Jo; Hyunjik Jo; Jiyeon Jung; et al. (CoRR, 2024)

Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data. - Moonjung Eo; Kyungeun Lee; Hye-Seung Cho; Dongmin Kim; Ye Seul Sim; Woohyung Lim (AAAI, 2025)

ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition. - Seungdong Yoa; Seungjun Lee; Hye-Seung Cho; Bumsoo Kim; Woohyung Lim (AAAI, 2025)

Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection. - Suhee Yoon; Sanghyu Yoon; Ye Seul Sim; Sungik Choi; Kyungeun Lee; Hye-Seung Cho; Hankook Lee; Woohyung Lim (AAAI, 2025)

Hierarchical Decomposition Framework for Steiner Tree Packing Problem. - Hanbum Ko; Minu Kim; Han-Seul Jeong; Sunghoon Hong; Deunsol Yoon; Youngjoon Park; Woohyung Lim; Honglak Lee; Moontae Lee; Kanghoon Lee; Sungbin Lim; Sungryull Sohn (ICORES, 2025)

MolMole: Molecule Mining from Scientific Literature. - LG AI Research; Sehyun Chun; Jiye Kim; Ahra Jo; Yeonsik Jo; Seungyul Oh; Seungjun Lee; Kwangrok Ryoo; Jongmin Lee; Seung Hwan Kim; Byung Jun Kang; Soonyoung Lee; et al. (CoRR, 2025)

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains. - Kyungeun Lee; Moonjung Eo; Hye-Seung Cho; Dongmin Kim; Ye Seul Sim; Seoyoon Kim; Min-Kook Suh; Woohyung Lim (CoRR, 2025)

Online Pre-Training for Offline-to-Online Reinforcement Learning. - Yongjae Shin; Jeonghye Kim; Whiyoung Jung; Sunghoon Hong; Deunsol Yoon; Youngsoo Jang; Geonhyeong Kim; Jongseong Chae; Youngchul Sung; Kanghoon Lee; Woohyung Lim (CoRR, 2025)

Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data. - Jeonghye Kim; Yongjae Shin; Whiyoung Jung; Sunghoon Hong; Deunsol Yoon; Youngchul Sung; Kanghoon Lee; Woohyung Lim (CoRR, 2025)