| 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 |
| 2020 | ICASSP | Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization. | Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim |
| 2019 | Interspeech | Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding. | Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim |
| 2011 | ICASSP | G.711.1 Annex D and G.722 Annex B - New ITU-T superwideband codecs. | Lei Miao, Zexin Liu, Chen Hu, Vaclav Eksler, Stphane Ragot, Claude Lamblin, Balzs Kvesi, Jongmo Sung, Masahiro Fukui, Shigeaki Sasaki, Yusuke Hiwasaki |