Strategic Use of Data Assimilation for Dynamic Data-Driven Simulation. - Yubin Cho; Yilin Huang; Alexander Verbraeck (ICCS (6), 2020)

Class Attention Transfer for Semantic Segmentation. - Yubin Cho; Sukju Kang (AICAS, 2022)

Deep Learning-based Real-time Segmentation for Edge Computing Devices. - Jaeho Kwak; Hyunwoo Yu; Yubin Cho; Suk-Ju Kang; Jaechan Cho; Jun-Young Park; Ji-Won Lee (AICAS, 2022)

Particle filter-based data assimilation in dynamic data-driven simulation: sensitivity analysis of three critical experimental conditions. - Yilin Huang; Xu Xie; Yubin Cho; Alexander Verbraeck (Simul., 2023)

Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation. - Hyunwoo Yu; Yubin Cho; Beoungwoo Kang; Seunghun Moon; Kyeongbo Kong; Suk-Ju Kang (ECCV (42), 2024)

MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic Segmentation. - Beoungwoo Kang; Seunghun Moon; Yubin Cho; Hyunwoo Yu; Suk-Ju Kang (WACV, 2024)

Mixup-Based Neural Network for Image Restoration and Structure Prediction From SEM Images. - Junho Park; Yubin Cho; Yeieun Hwang; Ami Ma; QHwan Kim; Kyu-Baik Chang; Jaehoon Jeong; Suk-Ju Kang (IEEE Trans. Instrum. Meas., 2024)

Cross-Aware Early Fusion With Stage-Divided Vision and Language Transformer Encoders for Referring Image Segmentation. - Yubin Cho; Hyunwoo Yu; Suk-Ju Kang (IEEE Trans. Multim., 2024)

Learned Image Compression and Restoration for Digital Pathology. - Seonyeong Lee; EonSeung Seong; DongEon Lee; SiYeoul Lee; Yubin Cho; Chunsu Park; Seonho Kim; Minkyung Seo; Young Sin Ko; MinWoo Kim (CoRR, 2025)