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.

I am interested in exploring ways to enhance the practicality and reliability of machine learning systems for deployment in real-world applications.

For further details, please refer to my CV.

News

Feb 23, 2025 1 paper is accepted to TNNLS.
Feb 27, 2024 1 paper is accepted to CVPR 2024.
Jan 28, 2024 1 paper is accepted to PAKDD 2024 (Oral presentation).
Dec 09, 2023 1 paper is accepted to AAAI 2024.
Aug 15, 2022 1 paper is accepted to WACV 2023 (1st Round).

Publications

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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