Heejo Kong

According to our database, Heejo Kong authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks.

Beom-Chul Park, Minsu Koh, Heejo Kong, Seong-Whan Lee

CoRR, April, 2026

Text-guided weakly supervised framework for dynamic facial expression recognition.

Gunho Jung, Heejo Kong, Seong-Whan Lee

Pattern Recognit., 2026

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., June, 2025

Integrating Locality-Aware Attention with Transformers for General Geometry PDEs.

Minsu Koh, Beom-Chul Park, Heejo Kong, Seong-Whan Lee

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Instance-Ambiguity Weighting for Multi-label Recognition with Limited Annotations.

Daniel Shrewsbury, Suneung Kim, Young-Eun Kim, Heejo Kong, Seong-Whan Lee

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data.

Heejo Kong, Suneung Kim, Ho-Joong Kim, Seong-Whan Lee

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Pruning-Guided Curriculum Learning for Semi-Supervised Semantic Segmentation.

Heejo Kong, Gun-Hee Lee, Suneung Kim, Seong-Whan Lee

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023