CCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMs

J. Kim and J. W. Yoon

Proc. EMNLP (main), 2025.

Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal Training

J. W. Yoon

Proc. AAAI, 2025.

Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation

D. Um, J. W. Yoon, S. J. Ahn and Y. Yeo

Proc. NeurIPS, 2024.

Towards Maximum Likelihood Training for Transducer-based Streaming Speech Recognition

H. Lee, J. W. Yoon, S. Kim, and N. S. Kim

IEEE Signal Processing Letters, 2024. 

HuBERT-EE: Early Exiting HuBERT for Efficient Speech Recognition

J. W. Yoon, B. J. Woo, and N. S. Kim

Proc. Interspeech, 2024.

* Oral presentation

EM-Network: Oracle Guided Self-distillation for Sequence Learning

J. W. Yoon, S. Ahn, H. Lee, M. Kim, S. M. Kim, and N. S. Kim

Proc. ICML, 2023. 

Oracle Teacher: Leveraging Target Information for Better Knowledge Distillation of CTC Models

J. W. Yoon, H. Y. Kim, H. Lee, S. Ahn, and N. S. Kim

IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 2974-2987, 2023. 

MCR-Data2vec 2.0: Improving Self-supervised Speech Pre-training via Model-level Consistency Regularization

J. W. Yoon, S. M. Kim, and N. S. Kim

Proc. Interspeech, 2023.

Neurally Optimized Decoder for Low Bitrate Speech Codec

H. Y. Kim, J. W. Yoon, W. I. Cho, and N. S. Kim

IEEE Signal Processing Letters, vol. 29, pp. 244-248, 2021.

TutorNet: Towards Flexible Knowledge Distillation for End-to-End Speech Recognition

J. W. Yoon, H. Lee, H. Y. Kim, W. I. Cho, and N. S. Kim

IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 1626-1638, 2021.

Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation

W. I. Cho, D. Kwak, J. W. Yoon, and N. S. Kim

Proc. Interspeech, 2020.