Enhancing the Accuracies of Age Estimation With Heterogeneous Databases Using Modified CycleGAN. - Yu Hwan Kim; Min Beom Lee; Se Hyun Nam; Kang Ryoung Park (IEEE Access, 2019)

Conditional Generative Adversarial Network- Based Data Augmentation for Enhancement of Iris Recognition Accuracy. - Min Beom Lee; Yu Hwan Kim; Kang Ryoung Park (IEEE Access, 2019)

Age Estimation by Super-Resolution Reconstruction Based on Adversarial Networks. - Se Hyun Nam; Yu Hwan Kim; Noi Quang Truong; Jiho Choi; Kang Ryoung Park (IEEE Access, 2020)

Enhanced Cycle Generative Adversarial Network for Generating Face Images of Untrained Races and Ages for Age Estimation. - Yu Hwan Kim; Se Hyun Nam; Kang Ryoung Park (IEEE Access, 2021)

MTS-CNN: Multi-task semantic segmentation-convolutional neural network for detecting crops and weeds. - Yu Hwan Kim; Kang Ryoung Park (Comput. Electron. Agric., 2022)

GRA-GAN: Generative adversarial network for image style transfer of Gender, Race, and age. - Yu Hwan Kim; Se Hyun Nam; Seung Baek Hong; Kang Ryoung Park (Expert Syst. Appl., 2022)

LCW-Net: Low-light-image-based crop and weed segmentation network using attention module in two decoders. - Yu Hwan Kim; Sung Jae Lee; Chaeyeong Yun; Su Jin Im; Kang Ryoung Park (Eng. Appl. Artif. Intell., 2023)

Artificial intelligence-based semi-supervised crop and weed semantic segmentation. - Chaeyeong Yun; Yu Hwan Kim; Sung Jae Lee; Su Jin Im; Kang Ryoung Park (Appl. Soft Comput., 2025)