Deep learning based decomposition of brain networks. - Pilsub Lee; Myungwon Choi; Daegyeom Kim; Suji Lee; Hyun-Ghang Jeong; Cheol E. Han (ICAIIC, 2019)

Brain Network Decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE). - Myungwon Choi; Pilsub Lee; Daegyeom Kim; Suji Lee; HyunChul Youn; Hyun-Ghang Jeong; Cheol E. Han (ICONIP (1), 2019)

Development of Plantar Pressure Measurement System and Personal Classification Study based on Plantar Pressure Image. - Jong Gab Ho; Dae-Gyeom Kim; Young Kim; Seung-wan Jang; Se Dong Min (KSII Trans. Internet Inf. Syst., 2021)

A Neural Network-based Path Loss Model for Bluetooth Transceivers. - Sung-Hyun Kim; Sung-Woo Moon; Dae-Gyeom Kim; Myeongjin Ko; Yong-Hoon Choi (ICOIN, 2022)

Design and Implementation of Traffic Generation Model and Spectrum Requirement Calculator for Private 5G Network. - Daegyeom Kim; Myeongjin Ko; Sunghyun Kim; Sung-Woo Moon; Kyung-Yul Cheon; Seungkeun Park; Yunbae Kim; Hyungoo Yoon; Yong-Hoon Choi (IEEE Access, 2022)

3D Super Resolution for Non-Isotropic Medical Image Through Multi-Input 3D ResUnet. - Youjin Seo; ByeongChang Jeong; Yeji Yoon; Daegyeom Kim; JuHong Min; Cheol E. Han (IJCNN, 2023)

ML-Based 5G Traffic Generation for Practical Simulations Using Open Datasets. - Yong-Hoon Choi; Daegyeom Kim; Myeongjin Ko; Kyung-Yul Cheon; Seungkeun Park; Yunbae Kim; Hyungoo Yoon (IEEE Commun. Mag., 2023)

SC VALL-E: Style-Controllable Zero-Shot Text to Speech Synthesizer. - Daegyeom Kim; Seongho Hong; Yong-Hoon Choi (CoRR, 2023)

5G Traffic Datasets. - Yong-Hoon Choi; Daegyeom Kim; Myeongjin Ko (IEEE DataPort, 2023)

A Deep Learning Model of Amyloid-${ boldsymbol{ beta }}$ Diffusion Simulation. - ByeongChang Jeong; Daegyeom Kim; Hyun-Ghang Jeong; Cheol E. Han (ICEIC, 2024)

Ventinel: Automated Detection of Android Vishing Apps Using Optical Character Recognition. - Daegyeom Kim; Sehwan O; Younghoon Ban; Jungsoo Park; Kyungho Joo; Haehyun Cho (Future Internet, 2025)