| 2025 | EMNLP | ECO Decoding: Entropy-Based Control for Controllability and Fluency in Controllable Dialogue Generation. | Seungmin Shin, Dooyoung Kim, Youngjoong Ko |
| 2025 | ICML | Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks. | Sungwon Kim, Namkyeong Lee, Yunyoung Doh, Seungmin Shin, Guimok Cho, Seung-Won Jeon, Sangkook Kim, Chanyoung Park |
| 2024 | ICASSP | Quantization Noise Masking in Perceptual Neural Audio Coder. | Seungmin Shin, Joon Byun, Jongmo Sung, Seungkwon Beack, Youngcheol Park |
| 2023 | ICASSP | A Perceptual Neural Audio Coder with a Mean-Scale Hyperprior. | Joon Byun, Seungmin Shin, Youngcheol Park, Jongmo Sung, Seungkwon Beack |
| 2023 | Interspeech | Perceptual Improvement of Deep Neural Network (DNN) Speech Coder Using Parametric and Non-parametric Density Models. | Joon Byun, Seungmin Shin, Jongmo Sung, Seungkwon Beack, Youngcheol Park |
| 2022 | ICASSP | Deep Neural Network (DNN) Audio Coder Using A Perceptually Improved Training Method. | Seungmin Shin, Joon Byun, Youngcheol Park, Jongmo Sung, Seungkwon Beack |
| 2022 | Interspeech | Optimization of Deep Neural Network (DNN) Speech Coder Using a Multi Time Scale Perceptual Loss Function. | Joon Byun, Seungmin Shin, Jongmo Sung, Seungkwon Beack, Youngcheol Park |
| 2021 | Interspeech | Development of a Psychoacoustic Loss Function for the Deep Neural Network (DNN)-Based Speech Coder. | Joon Byun, Seungmin Shin, Youngcheol Park, Jongmo Sung, Seungkwon Beack |