Heejo Kong

Ph.D. candidate, Department of Brain & Cognitive Engineering, Korea University.

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I am a graduated student pursuing a Ph.D. degree in Brain & Cognitive Engineering at Korea University, South Korea, and a member of Pattern Recognition & Machine Learning Lab advised by Prof. Seong-Whan, Lee.

My research focuses on developing machine learning methods for modeling and simulating physical systems, with applications to autonomous robotic systems.

For further details, please refer to my CV.

News

Apr 19, 2026 1 paper is accepted to Pattern Recognition 2026.
Jan 16, 2026 1 paper is accepted to ICASSP 2026.
Dec 09, 2025 1 paper is accepted to Pattern Recognition 2025.
Apr 01, 2025 1 paper is accepted to IJCNN 2025.
Feb 23, 2025 1 paper is accepted to TNNLS 2025.

Publications

  1. 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
  2. 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
  3. Text-guided Weakly Supervised Framework for Dynamic Facial Expression Recognition
    Gunho Jung , Heejo Kong , and Seong-Whan Lee
    In Pattern Recognition (PR) , 2025
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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