Multi-resolution Modeling in Collaborative Design. - JungHyun Han; Taeseong Kim; Christopher D. Cera; William C. Regli (ISCIS, 2003)

Role-based viewing envelopes for information protection in collaborative modeling. - Christopher D. Cera; Taeseong Kim; JungHyun Han; William C. Regli (Comput. Aided Des., 2004)

Multi-Level modeling and access control for data sharing in collaborative design. - Taeseong Kim; Christopher D. Cera; William C. Regli; Hyunseung Choo; JungHyun Han (Adv. Eng. Informatics, 2006)

Hierarchical Role-Based Viewing for Multilevel Information Security in Collaborative CAD. - Christopher D. Cera; Ilya Braude; Taeseong Kim; Junghyun Han; William C. Regli (J. Comput. Inf. Sci. Eng., 2006)

Energy measurement of web service. - Taeseong Kim; Yeonhee Lee; Youngseok Lee 002 (e-Energy, 2012)

Translation of 1D Inverse Fourier Transform of K-space to an Image Based on Deep Learning for Accelerating Magnetic Resonance Imaging. - Taejoon Eo; Hyungseob Shin; Taeseong Kim; Yohan Jun; Dosik Hwang (MICCAI (1), 2018)

Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction. - Taejoon Eo; Hyungseob Shin; Yohan Jun; Taeseong Kim; Dosik Hwang (Medical Image Anal., 2020)

Development of a Novel Multi-Channel Thermocouple Array Sensor for In-Situ Monitoring of Ice Accretion. - Luke Rieman; Erdogan Guk; Taeseong Kim; Chankyu Son; Jung-Sik Kim (Sensors, 2020)

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. - Patricia M. Johnson; Geunu Jeong; Kerstin Hammernik; Jo Schlemper; Chen Qin; Jinming Duan 001; Daniel Rueckert; Jingu Lee; Nicola Pezzotti; Elwin de Weerdt; Sahar Yousefi; Mohamed S. Elmahdy; et al. (MLMIR@MICCAI, 2021)

Improving Computational Thinking Comprehension through Visualized Sorting App Development. - Jongwan Kim; Taeseong Kim (J. Multim. Inf. Syst., 2021)

Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method. - Yohan Jun; Hyungseob Shin; Taejoon Eo; Taeseong Kim; Dosik Hwang (Medical Image Anal., 2021)

High-Throughput Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Channel-By-Channel Packing. - Jung Hee Cheon; Minsik Kang; Taeseong Kim; Junyoung Jung; Yongdong Yeo (IACR Cryptol. ePrint Arch., 2023)

Fast and Accurate Homomorphic Softmax Evaluation. - Wonhee Cho 001; Guillaume Hanrot; Taeseong Kim; Minje Park; Damien Stehlé (CCS, 2024)

Encryption-Friendly LLM Architecture. - Donghwan Rho; Taeseong Kim; Minje Park; Jung Woo Kim; Hyunsik Chae; Ernest K. Ryu; Jung Hee Cheon (ICLR, 2025)

Batch Inference on Deep Convolutional Neural Networks With Fully Homomorphic Encryption Using Channel-By-Channel Convolutions. - Jung Hee Cheon; Minsik Kang; Taeseong Kim; Junyoung Jung; Yongdong Yeo (IEEE Trans. Dependable Secur. Comput., 2025)