Hyunju Kim

Ph.D. Student, Computational Science & Engineering, Georgia Tech

prof_pic.jpg

13th Floor, CODA Building

756 W Peachtree St NW, Atlanta, GA 30308

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

March, 2026 Paper on four-set hypergraphlets for directed hypergraphs accepted at IEEE TKDE.
February, 2025 Paper on differentiable influence minimization (DiffIM) accepted at AAAI 2025.
August, 2024 Started Ph.D. at Georgia Institute of Technology in Computational Science & Engineering!

selected publications

  1. P2
    Geometric Learning for Predicting Functional Connectivity on Folded Cortical Surfaces
    Hyunju Kim, Michael Arcaro, and Nabil Imam
    Under review, 2026
  2. P1
    Geometric Constraints in the Development of Primate Extrastriate Visual Cortex
    Hyunju Kim, Michael Arcaro, and Nabil Imam
    Under review, 2026
  3. J3
    Four-Set Hypergraphlets for Characterization of Directed Hypergraphs
    Heechan Moon*, Hyunju Kim*, Sunwoo Kim, and Kijung Shin
    IEEE Transactions on Knowledge and Data Engineering, 2026
  4. J2
    Estimating Simplet Counts via Sampling
    Hyunju Kim*, Heechan Moon*, Sunwoo Kim, and Kijung Shin
    The VLDB Journal, 2024
  5. C1
    Characterization of Simplicial Complexes by Counting Simplets beyond Four Nodes
    Hyunju Kim, Jihoon Ko, Fanchen Bu, and Kijung Shin
    In WWW, 2023