Facial expression recognition system using machine learning. - Sanghyuk Kim; Gwon Hwan An; Suk-Ju Kang (ISOCC, 2017)

Driver Identification System Using Convolutional Neural Network with Background Removal-based Infrared Data Augmentation. - Sanghyuk Kim; Yunsoo Lee; Namhyun Ahn; Suk-Ju Kang (Intelligent Vehicles Symposium, 2018)

Object tracking-based foveated super-resolution convolutional neural network for head mounted display. - Sanghyuk Kim; Min-Woo Seo; Seung Joon Lee; Suk-Ju Kang (SIGGRAPH ASIA Posters, 2018)

On the Performance Benefits of Partly Wireless CRAN. - Sanghyuk Kim; Donggu Kim; Jeongwan Koh; Joonhyuk Kang (CCNC, 2019)

Neural joint source-channel coding via Bernoulli latent straight-through estimator. - Jiwan Seo; Sanghyuk Kim; Joonhyuk Kang (J. Commun. Networks, 2022)

Variable three-term conjugate gradient method for training artificial neural networks. - Hansu Kim; Chuxuan Wang; Hyoseok Byun; Weifei Hu; Sanghyuk Kim; Qing Jiao; Tae Hee Lee (Neural Networks, 2023)

Web-based Melanoma Detection. - Sanghyuk Kim; Edward Gaibor; Daniel Haehn (CoRR, 2024)

Boostlet.js: Image processing plugins for the web via JavaScript injection. - Edward Gaibor; Shruti Varade; Rohini Deshmukh; Tim Meyer; Mahsa Geshvadi; Sanghyuk Kim; Vidhya Sree Narayanappa; Daniel Haehn (CoRR, 2024)

AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble. - Dongeon Lee; Sunwoong Yang; Jae-Won Oh; Su-Gil Cho; Sanghyuk Kim; Namwoo Kang (CoRR, 2024)

Boostlet.Js: Medical Image Processing Plugins for the Web via Javascript Injection. - Edward Gaibor; Shruti Varade; Rohini Deshmukh; Tim Meyer; Mahsa Geshvadi; Sanghyuk Kim; Vidhya Sree Narayanappa; Daniel Haehn (ISBI, 2025)

Melanoma Detection with Uncertainty Quantification. - Sanghyuk Kim; Edward Gaibor; Brian Matejek; Daniel Haehn (ISBI, 2025)

Decoupled Dynamics Framework with Neural Fields for 3D Spatio-temporal Prediction of Vehicle Collisions. - Sanghyuk Kim; Minsik Seo; Namwoo Kang (CoRR, 2025)