Speech Intention Understanding in a Head-final Language: A Disambiguation Utilizing Intonation-dependency. - Won-Ik Cho; Hyeon Seung Lee; Ji Won Yoon 002; Seok Min Kim; Nam Soo Kim (CoRR, 2018)

Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation. - Won-Ik Cho; Donghyun Kwak; Ji Won Yoon 002; Nam Soo Kim (INTERSPEECH, 2020)

Oracle Teacher: Towards Better Knowledge Distillation. - Ji Won Yoon 002; Hyung Yong Kim; Hyeonseung Lee; Sunghwan Ahn; Nam Soo Kim (CoRR, 2021)

TutorNet: Towards Flexible Knowledge Distillation for End-to-End Speech Recognition. - Ji Won Yoon 002; Hyeonseung Lee; Hyung Yong Kim; Won-Ik Cho; Nam Soo Kim (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Inter-KD: Intermediate Knowledge Distillation for CTC-Based Automatic Speech Recognition. - Ji Won Yoon 002; Beom Jun Woo; Sunghwan Ahn; Hyeonseung Lee; Nam Soo Kim (SLT, 2022)

Neurally Optimized Decoder for Low Bitrate Speech Codec. - Hyung Yong Kim; Ji Won Yoon 002; Won-Ik Cho; Nam Soo Kim (IEEE Signal Process. Lett., 2022)

EM-Network: Oracle Guided Self-distillation for Sequence Learning. - Ji Won Yoon 002; Sunghwan Ahn; Hyeonseung Lee; Minchan Kim; Seok Min Kim; Nam Soo Kim (ICML, 2023)

MCR-Data2vec 2.0: Improving Self-supervised Speech Pre-training via Model-level Consistency Regularization. - Ji Won Yoon 002; Seok Min Kim; Nam Soo Kim (INTERSPEECH, 2023)

Development of deep biological ages aware of morbidity and mortality based on unsupervised and semi-supervised deep learning approaches. - Seong-Eun Moon; Ji Won Yoon 002; Shinyoung Joo; Yoohyung Kim; Jae-Hyun Bae; Seokho Yoon; Haanju Yoo; Young Min Cho (CoRR, 2023)

Oracle Teacher: Leveraging Target Information for Better Knowledge Distillation of CTC Models. - Ji Won Yoon 002; Hyung Yong Kim; Hyeonseung Lee; Sunghwan Ahn; Nam Soo Kim (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

EEND-EM: End-to-End Neural Speaker Diarization with EM-Network. - Beom Jun Woo; Ji Won Yoon 002; Min Hyun Han; Chanyeong Moon; Nam Soo Kim (APSIPA, 2024)

HuBERT-EE: Early Exiting HuBERT for Efficient Speech Recognition. - Ji Won Yoon 002; Beom Jun Woo; Nam Soo Kim (INTERSPEECH, 2024)

Unseen Road Type Detection in Road Networks for Intelligent Transportation Systems. - Daeho Um; Yuneil Yeo; Ji Won Yoon 002; Jin Young Choi 002 (ITSC, 2024)

Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation. - Daeho Um; Ji Won Yoon 002; Seong-Jin Ahn 002; Yunha Yeo (NeurIPS, 2024)

Cons-KD: Dropout-Robust Knowledge Distillation for CTC-Based Automatic Speech Recognition. - Ji Won Yoon 002; Hyeonseung Lee; Ju Yeon Kang; Nam Soo Kim (IEEE Access, 2024)

Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal Training. - Ji Won Yoon 002 (AAAI, 2025)

FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning. - Ju Yeon Kang; Ji Won Yoon 002; Semin Kim; Min Hyun Han; Nam Soo Kim (ICASSP, 2025)

Towards Maximum Likelihood Training for Transducer-Based Streaming Speech Recognition. - Hyeonseung Lee; Ji Won Yoon 002; Sungsoo Kim; Nam Soo Kim (IEEE Signal Process. Lett., 2025)

SARE: Semantic-Aware Reconstruction Error for Generalizable Diffusion-Generated Image Detection. - Ju Yeon Kang; Jaehong Park; Semin Kim; Ji Won Yoon 002; Nam Soo Kim (CoRR, 2025)

CCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMs. - Jin Young Kim; Ji Won Yoon 002 (CoRR, 2025)