Pruning-Guided Curriculum Learning for Semi-Supervised Semantic Segmentation. - Heejo Kong; Gun-Hee Lee; Suneung Kim; Seong-Whan Lee (WACV, 2023)

Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data. - Heejo Kong; Suneung Kim; Ho-Joong Kim; Seong-Whan Lee (AAAI, 2024)

TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression. - Ho-Joong Kim; Jung-Ho Hong; Heejo Kong; Seong-Whan Lee (CVPR, 2024)

Instance-Ambiguity Weighting for Multi-label Recognition with Limited Annotations. - Daniel Shrewsbury; Suneung Kim; Young-Eun Kim; Heejo Kong; Seong-Whan Lee (PAKDD (1), 2024)

Integrating Locality-Aware Attention with Transformers for General Geometry PDEs. - Minsu Koh; Beom-Chul Park; Heejo Kong; Seong-Whan Lee (CoRR, 2025)

Diversify and Conquer: Open-Set Disagreement for Robust Semi-Supervised Learning With Outliers. - Heejo Kong; Sung-Jin Kim; Gunho Jung; Seong-Whan Lee (IEEE Trans. Neural Networks Learn. Syst., 2025)