Optimal Consecutive-k-out-of-(2k+1): G Cycle. - Ding-Zhu Du; Frank K. Hwang; Yunjae Jung; Hung Q. Ngo 001 (J. Glob. Optim., 2001)

Performance Analysis and Improvement for Some Linear On-Line Bin-Packing Algorithms. - Xiaodong Gu; Guoliang Chen 001; Jun Gu; Liusheng Huang; Yunjae Jung (J. Comb. Optim., 2002)

A Decision Criterion for the Optimal Number of Clusters in Hierarchical Clustering. - Yunjae Jung; Haesun Park; Ding-Zhu Du; Barry L. Drake (J. Glob. Optim., 2003)

Discriminative Feature Learning for Unsupervised Video Summarization. - Yunjae Jung; Donghyeon Cho; Dahun Kim; Sanghyun Woo; In So Kweon (AAAI, 2019)

Video Retargeting: Trade-off between Content Preservation and Spatio-temporal Consistency. - Donghyeon Cho; Yunjae Jung; François Rameau; Dahun Kim; Sanghyun Woo; In So Kweon (ACM Multimedia, 2019)

Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling. - Yunjae Jung; Dahun Kim; Sanghyun Woo; Kyungsu Kim 003; Sungjin Kim; In So Kweon (AAAI, 2020)

Global-and-Local Relative Position Embedding for Unsupervised Video Summarization. - Yunjae Jung; Donghyeon Cho; Sanghyun Woo; In So Kweon (ECCV (25), 2020)

Single-Modal Entropy based Active Learning for Visual Question Answering. - Dong-Jin Kim 003; Jae-Won Cho; Jinsoo Choi; Yunjae Jung; In So Kweon (BMVC, 2021)

Dealing With Missing Modalities in the Visual Question Answer-Difference Prediction Task Through Knowledge Distillation. - Jae-Won Cho; Dong-Jin Kim 003; Jinsoo Choi; Yunjae Jung; In So Kweon (CVPR Workshops, 2021)

Counterfactual Mix-Up for Visual Question Answering. - Jae-Won Cho; Dong-Jin Kim 003; Yunjae Jung; In So Kweon (IEEE Access, 2023)

MCDAL: Maximum Classifier Discrepancy for Active Learning. - Jae-Won Cho; Dong-Jin Kim 003; Yunjae Jung; In So Kweon (IEEE Trans. Neural Networks Learn. Syst., 2023)