Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-Decoders. - Hyungu Kahng; Yonghyun Jung; Yoon-Sang Cho; Gonie Ahn; Youngjoon Park; Uk Jo; Hankyu Lee; Hyungrok Do; Junseung Lee; Hyunjin Choi; Iljoo Yoon; Hyunjae Lee; et al. (CoRR, 2018)

Opponent Modeling Under Partial Observability in StarCraft with Deep Convolutional Encoder-Decoders. - Hyungu Kahng; Seoung Bum Kim (IntelliSys (1), 2019)

Early Diagnosis and Prediction of Wafer Quality Using Machine Learning on sub-10nm Logic Technology. - Heung-Kook Ko; Sena Park; Jihyun Ryu; Sung Ryul Kim; Giwon Lee; Dongjoon Lee; Sangwoo Pae; Euncheol Lee; Yongsun Ji; Hai Jiang 005; Taeyoung Jeong; Taiki Uemura; et al. (IRPS, 2020)

Intelligent traffic control for autonomous vehicle systems based on machine learning. - Sangmin Lee 006; Younghoon Kim; Hyungu Kahng; Soonkyo Lee; Seokhyun Chung; Taesu Cheong; Keeyong Shin; Jeehyuk Park; Seoung Bum Kim (Expert Syst. Appl., 2020)

Hierarchical segment-channel attention network for explainable multichannel signal classification. - Jiyoon Lee; Hyungrok Do; Mingu Kwak; Hyungu Kahng; Seoung Bum Kim (Inf. Sci., 2021)

Mixup-based classification of mixed-type defect patterns in wafer bin maps. - Wooksoo Shin; Hyungu Kahng; Seoung Bum Kim (Comput. Ind. Eng., 2022)

Domain Generalization via Heckman-type Selection Models. - Hyungu Kahng; Hyungrok Do; Judy Zhong (ICLR, 2023)

Deep semi-supervised regression via pseudo-label filtering and calibration. - Yongwon Jo; Hyungu Kahng; Seoung Bum Kim (Appl. Soft Comput., 2024)

Domain Generalization Through Domain-Expert Risk Assessment. - Jinyong Jeong; Hyungu Kahng; Seoung Bum Kim (IEA/AIE (1), 2025)

Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples. - Mingu Kwak; Hyungu Kahng; Seoung Bum Kim (IEEE Access, 2025)