Prediction Model for Back-Bead Monitoring During Gas Metal Arc Welding Using Supervised Deep Learning. - Chengnan Jin; Seungmin Shin; Jiyoung Yu; Sehun Rhee (IEEE Access, 2020)

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 (Interspeech, 2021)

A principled approach for selecting block I/O traces. - Omkar Desai; Seungmin Shin; Eunji Lee; Bryan S. Kim (HotStorage, 2022)

Deep Neural Network (DNN) Audio Coder Using A Perceptually Improved Training Method. - Seungmin Shin; Joon Byun; Youngcheol Park; Jongmo Sung; Seungkwon Beack (ICASSP, 2022)

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 (INTERSPEECH, 2022)

Hexa-SSD: Overcoming capacitance constraints in SSDs. - Sanghyun Nam; Seungmin Shin; Eunji Lee (IEICE Electron. Express, 2022)

A Perceptual Neural Audio Coder with a Mean-Scale Hyperprior. - Joon Byun; Seungmin Shin; Youngcheol Park; Jongmo Sung; Seungkwon Beack (ICASSP, 2023)

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 (INTERSPEECH, 2023)

Investigation on Quality Prediction Algorithm in Ultrasonic Metal Welding for Multilayered Cu for Battery Cells. - Hyojun Choi; Seungmin Shin; Dong-Yoon Kim; Jiyong Park; Dongcheol Kim; Seung Hwan Lee; Jiyoung Yu (IEEE Access, 2023)

Quantization Noise Masking in Perceptual Neural Audio Coder. - Seungmin Shin; Joon Byun; Jongmo Sung; Seungkwon Beack; Youngcheol Park (ICASSP, 2024)

Optimizations of Neural Audio Coder Toward Perceptual Transparency. - Joon Byun; Seungmin Shin; Seorim Hwang; Jongmo Sung; Seungkwon Beack; Youngcheol Park (IEEE J. Sel. Top. Signal Process., 2024)

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 (CoRR, 2025)