$$ \newcommand{\floor}[1]{\left\lfloor #1 \right\rfloor} \newcommand{\ceil}[1]{\left\lceil #1 \right\rceil} \newcommand{\N}{\mathbb{N}} \newcommand{\R}{\mathbb{R}} \newcommand{\Z}{\mathbb{Z}} \newcommand{\Q}{\mathbb{Q}} \newcommand{\C}{\mathbb{C}} \renewcommand{\L}{\mathcal{L}} \newcommand{\x}{\times} \newcommand{\contra}{\scalebox{1.5}{$\lightning$}} \newcommand{\inner}[2]{\left\langle #1 , #2 \right\rangle} \newcommand{\st}{\text{ such that }} \newcommand{\for}{\text{ for }} \newcommand{\Setcond}[2]{ \left\{\, #1 \mid #2 \, \right\}} \newcommand{\setcond}[2]{\Setcond{#1}{#2}} \newcommand{\seq}[1]{ \left\langle #1 \right\rangle} \newcommand{\Set}[1]{ \left\{ #1 \right\}} \newcommand{\set}[1]{ \Set{#1} } \newcommand{\sgn}{\text{sign}} \newcommand{\halfline}{\vspace{0.5em}} \newcommand{\diag}{\text{diag}} \newcommand{\legn}[2]{\left(\frac{#1}{#2}\right)} \newcommand{\ord}{\text{ord}} \newcommand{\di}{\mathrel{|}} \newcommand{\gen}[1] \newcommand{\irr}{\mathrm{irr }} \renewcommand{\deg}{\mathrm{deg }} \newcommand{\nsgeq}{\trianglelefteq} \newcommand{\nsg}{\triangleleft} \newcommand{\argmin}{\mathrm{argmin}} \newcommand{\argmax}{\mathrm{argmax}} \newcommand{\minimize}{\mathrm{minimize}} \newcommand{\maximize}{\mathrm{maximize}} \newcommand{\subto}{\mathrm{subject\ to}} \newcommand{\DKL}[2]{D_{\mathrm{KL}}\left(#1 \di\di #2\right)} \newcommand{\ReLU}{\mathrm{ReLU}} \newcommand{\E}{\mathsf{E}} \newcommand{\V}{\mathsf{Var}} \newcommand{\Corr}{\mathsf{Corr}} \newcommand{\Cov}{\mathsf{Cov}} \newcommand{\covariance}[1]{\Cov\left(#1\right)} \newcommand{\variance}[1]{\V\left[#1\right]} \newcommand{\variancewith}[1]{\V\left[#1\right]} \newcommand{\expect}[1]{\E\left[#1\right]} \newcommand{\expectwith}[2]{\E_{#1}\left[#2\right]} \renewcommand{\P}{\mathsf{P}} \newcommand{\uniform}[2]{\mathrm{Uniform}\left(#1 \dots #2\right)} \newcommand{\gdist}[2]{\mathcal{N}\left(#1, #2\right)} \DeclarePairedDelimiter{\norm}{\lVert}{\rVert} $$ \everymath{\displaystyle}

Hyunju Kim

I am a Ph.D. student in Computational Science and Engineering at Georgia Tech and am advised by Prof. Nabil Imam I am a M.S. student in the Kim Jaechul Graduate School of AI at KAIST and am advised by Prof. Kijung Shin (Data Mining Lab). I’m mainly interested in graph data mining, graph algorithms and social network analysis. Previously, I recieved B.S. in Mathematics at POSTECH. For more details, please refer to the CV below.

Download CV

EDUCATION

• Sep. 2024 –

  Ph.D. in Computational Science & Engineering at Georgia Tech

• Feb. 2022 – Feb. 2024

  M.S. in Artificial intelligence at KAIST

• Feb. 2018 – Feb. 2022

  B.S. in Mathematics at POSTECH (summa cum laude, GPA 3.96/4.3, Ranked 1st in the Department of Mathematics)

AWARDS & SCHOLARSHIPS

• (2024-2029) KFAS (Korea Foundation for Advanced Studies) Scholarship - Field of Computer Science
• (Feb. 2022) PROUD POSTECHIAN MEMBER with the highest honor - Excellence Award
• (Jan. 2021) UGRP (Undergraduate Group Research Program) - Excellence Award
• (2020-2022) Presidential Science Scholarship, Republic of Korea
• (2018-2020) Jigok Scholarship, POSTECH

INTERNSHIPS

• (Mar. 2021-Dec. 2021) Data Mining Lab, KAIST AI
• (Jun. 2020-Aug. 2020) Data Science Team, SK Hynix
• (Jun. 2019-Jul. 2019) SETsystem

TEACHING & MENTORING

• (Feb. 2021-Jun. 2023) URP Teaching Assistant - J.H. Lee, KAIST
• (Aug. 2022-Jun. 2023) Lab Mentor - S.B. Yoon, KAIST
• (2021) SMP Mentor - MATH301; Analysis I, POSTECH
• (2021) SMP Mentor - CSED101; Programming and Problem Solving, POSTECH
• (2019-2021) SMP Mentor - MATH203; Applied Linear Algebra, POSTECH
• (2019-2021) RC (Residential College) Tutor - MATH203; Applied Linear Algebra, POSTECH
• (Aug. 2020-Dec. 2020) Online Mentoring Program for middle school students, POSTECH
• (Jul. 2019-Aug. 2019) Mentor of Summer University Volunteer Camp, KOSAF (Korea Scholarship Foundation)

RESEARCH INTERESTS

• Graph data mining / Graph algorithms
• Network neuroscience

SKILLS

• C / C++
• Python / Pytorch
• Julia / R / LaTeX

PROJECTS

Nov. 2023

Performance Prediction of Neural Architectures via Pre-training using Logits

Code and Datasets

×

Nov. 2023

Performance Prediction of Neural Architectures via Pre-training using Logits

Utilize logits of each logit to predict performance of neural architectures.

Code and Datasets

1. Impact & Significance

Sort images in terms of entropy

Pre-train each predictor that estimates logits of a given image

Fine-tune to estimate performance of each architecture

2. Results

Korea Software Congress 2023

Korea Software Copyright C‐2023‐047128

3. Role

Develop on algorithms

Nov. 2023

Four-set Hypergraphlets for Characterization of Directed Hypergraphs

Code, Datasets, and Appendix

×

Nov. 2023

Four-set Hypergraphlets for Characterization of Directed Hypergraphs

CODA is the algorithm for counting directed hypergraphlets on directed hypergraphs.

Code, Datasets, and Appendix

1. Impact & Significance

Define novel local patterns on directed hypergraphs (a.k.a. directed hypergraphlets)

Design efficient algorithms, named CODA-E(xact), CODA-A(dvanced)

Suggest applications such as clustering, classification, and temporal analysis

2. Results

Preprints

3. Role

Develop on algorithms

Overall writing (with co-first author)

Oct. 2022

SC3 - Simplet Counting Using Color Coding

Code, Datasets, and Appendix

×

Oct. 2022

SC3 - Simplet Counting Using Color Coding

SC3 is the algorithm for counting simplets of size 4 and 5 based on Color Coding method where simplets are isomorphic classes of connected induced subcomplexes.

Code, Datasets, and Appendix

1. Impact & Significance

First to count simplets especially of five nodes

Develop a fast and approximate algorithm

Real data analysis (Characterization)

2. Results

Accepted to WWW2023

3. Role

The first author

Develop the algorithm

Implement code (C++) (supported by the second author)

Perform experiments & applications

Overall writing (supported by the third author)

2020-2021

Supplementary materials of Applied Linear Algebra (MATH201), General Topology (MATH321)

Self-produced Mathematical Materials for preparing SMP, RC tutoring and exams (made by LATEX)

×

2020-2021

Supplementary materials of Applied Linear Algebra (MATH201), General Topology (MATH321)

Self-produced Mathematical Materials for preparing SMP, RC tutoring and exams (made by LATEX)

Jun. 2021

Identifying Fraudulent Products in "Secondhand Trading Website"

Term Project of IMEN472 - Statistical Data Mining

×

Jun. 2021

Identifying Fraudulent Products in "Secondhand Trading Website"

Identifying Fraudulent Products in "Secondhand Trading Website" via Crawling and Machine Learning (with 1 additional teammate).

Term Project of IMEN472 - Statistical Data Mining

1. Impact & Significance

Develop tool for discriminating fraudulent products with high accuracy

2. Results

A++, Use as a best practice in next year's class

3. Role

Implement code for real-time crawling

Data pre-processing

Analysis

Jan. 2021

Personality Prediction AI and App Development

Code and Report of UGRP

×

Jan. 2021

Personality Prediction AI and App Development

Analysis of Impression Using AI and App Development (with 4 additional teammates).

Code and Report of UGRP

1. Impact & Significance

Develop and attempt an impression analysis method that many companies have tried (hot topic)

Classify a person's MBTI with our trained models

Deploy a web to give people the fun of matching MBTI and collect new data through it

2. Results

Excellence Award

3. Role

Develop a web content (front-engineer) that can infer personality

Analysis and writing

RECENT PUBLICATIONS

[All Publications]

1. Hypergraph Motifs and Their Extensions Beyond Binary

   Geon Lee⋆, Seokbum Yoon⋆, Jihoon Ko,  Hyunju Kim, and Kijung Shin

   The VLDB Journal
2. FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer

   Dongyeong Hwang,  Hyunju Kim, Sunwoo Kim, and Kijung Shin

   CVPR 2024
3. Four-Set Hypergraphlets for Characterization of Directed Hypergraphs

   Heechan Moon⋆,  Hyunju Kim⋆, Sunwoo Kim, and Kijung Shin

   Preprint

EXTRACURRICULAR ACTIVITIES

• Guest player of several university orchestras (e.g. Sogang Univ., Sungkyunkwan Univ., Medical School Union, etc.)
• (2023) 9th Online Supporters (i.e., certified influencers) of Seoul Philharmonic Orchestra
• (Sep. 2021-Oct. 2021) Participant in the Korean I-Corps program as Team Lutra
• (Sep. 2020) Winner of POSTECH-KAIST Science War Science Quiz Session as a mathematics representative
• (Feb. 2020-Dec. 2021) Head of academic affairs and public relations in the student council of the Department of Mathematics
• (Feb. 2020-Dec. 2020) President and Conductor of HanUlRim (POSTECH Orchestra club)
• (Jan. 2020) Exchange student for a winter session on Seoul National Univerisity
• (Jan. 2011) Principal oboe player of Yeodo elementary school orchestra European tour for promoting International Exposition Yeosu Korea 2012 (Venues – Musikverein, Mozarteum Grosser Saal, Slovak Radio Hall, World trade center Patria Hall, Rudolfinum Dvorak Hall, Lukaskirche)