Hyunju Kim

Atlanta, GA, United States

hkim3239@gatech.edu

I am a Ph.D. student in Computational Science & Engineering at Georgia Institute of Technology, advised by Prof. Nabil Imam.

My research interests lie in Computational Neuroscience and Graph Data Mining & Graph Algorithms.

In computational neuroscience, I apply deep learning to understand neural dynamics, brain connectivity, and functional representations, and build brain-inspired deep learning models based on neural processing principles.

In graph data mining, I design algorithms and AI models for analyzing large-scale, complex graph data.

Previously, I received my M.S. in Artificial Intelligence at KAIST, advised by Prof. Kijung Shin (Data Mining Lab), and my B.S. in Mathematics at POSTECH (summa cum laude, ranked 1st in the Department of Mathematics).

news

Feb 01, 2025	Paper on differentiable influence minimization (DiffIM) accepted at AAAI 2025.
Aug 01, 2024	Started Ph.D. at Georgia Institute of Technology in Computational Science & Engineering!
Jun 01, 2024	FlowerFormer accepted at CVPR 2024. Simplet counting paper published in The VLDB Journal. Hypergraphlets paper published in TKDE.

selected publications

Preprint

Geometric Learning for Predicting Functional Connectivity on Folded Cortical Surfaces

Hyunju Kim, Michael Arcaro, and Nabil Imam

Under review, 2026

Bib

@article{kim2026geometric_fc,
  title = {Geometric Learning for Predicting Functional Connectivity on Folded Cortical Surfaces},
  author = {Kim, Hyunju and Arcaro, Michael and Imam, Nabil},
  year = {2026},
  journal = {Under review},
}

Preprint

Geometric Constraints in the Development of Primate Extrastriate Visual Cortex

Hyunju Kim, Michael Arcaro, and Nabil Imam

Under review, 2026

Bib HTML

@article{kim2026geometric_constraints,
  title = {Geometric Constraints in the Development of Primate Extrastriate Visual Cortex},
  author = {Kim, Hyunju and Arcaro, Michael and Imam, Nabil},
  year = {2026},
  journal = {Under review},
}

TKDE

Four-Set Hypergraphlets for Characterization of Directed Hypergraphs

Heechan Moon^*, Hyunju Kim^*, Sunwoo Kim, and 1 more author

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024

arXiv Bib Code

@article{moon2024hypergraphlets,
  title = {Four-Set Hypergraphlets for Characterization of Directed Hypergraphs},
  author = {Moon, Heechan and Kim, Hyunju and Kim, Sunwoo and Shin, Kijung},
  journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
  year = {2024},
}

VLDB J

Estimating Simplet Counts via Sampling

Hyunju Kim^*, Heechan Moon^*, Sunwoo Kim, and 1 more author

The VLDB Journal, 2024

Bib HTML Code

@article{kim2024simplet_sampling,
  title = {Estimating Simplet Counts via Sampling},
  author = {Kim, Hyunju and Moon, Heechan and Kim, Sunwoo and Shin, Kijung},
  journal = {The VLDB Journal},
  year = {2024},
}

WWW

Characterization of Simplicial Complexes by Counting Simplets beyond Four Nodes

Hyunju Kim, Jihoon Ko, Fanchen Bu, and 1 more author

In Proceedings of the ACM Web Conference (WWW), 2023

Bib HTML Code

@inproceedings{kim2023sc3,
  title = {Characterization of Simplicial Complexes by Counting Simplets beyond Four Nodes},
  author = {Kim, Hyunju and Ko, Jihoon and Bu, Fanchen and Shin, Kijung},
  booktitle = {Proceedings of the ACM Web Conference (WWW)},
  year = {2023},
}