Publications | Heejo Kong

2026

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

Beom-Chul Park , Minsu Koh , Heejo Kong , and 1 more author

In Pattern Recognition (PR) , 2026
Modularity-free Conflict-averse Training for Generalized PINNs

Heejo Kong , Beom-Chul Park , and Seong-Whan Lee

In International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , 2026

Text-guided Weakly Supervised Framework for Dynamic Facial Expression Recognition

Gunho Jung , Heejo Kong , and Seong-Whan Lee

In Pattern Recognition (PR) , 2025
Integrating Locality-Aware Attention with Transformers for General Geometry PDEs

Minsu Koh , Beom-Chul Park , Heejo Kong , and 1 more author

In International Joint Conference on Neural Networks (IJCNN) , 2025
Diversify and Conquer: Open-set Diagreement for Robust Semi-Supervised Learning with Outliers

Heejo Kong , Sung-Jin Kim , Gunho Jung , and 1 more author

In IEEE Transactions on Neural Networks and Learning Systems (TNNLS) , 2025

TE-TAD: Towards Fully End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression

Ho-Joong Kim , Jung-Ho Hong , Heejo Kong , and 1 more author

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2024
Instance-Ambiguity Weighting for Multi-Label Recognition with Limited Annotations

Daniel Shrewsbury , Suneung Kim , Young-Eun Kim , and 2 more authors

In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) , 2024
Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data

Heejo Kong , Suneung Kim , Ho-Joong Kim , and 1 more author

In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , 2024

Pruning-Guided Curriculum Learning for Semi-supervised Semantic Segmentation

Heejo Kong , Gun-Hee Lee , Suneung Kim , and 1 more author

In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , 2023