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

Hyunju Kim

I am currently a Ph.D. student in Computational Science and Engineering at Georgia Tech, where I am advised by Prof. Nabil Imam. My research interests focus on graph data mining, graph algorithms, and the network analysis of complex systems. Prior to my Ph.D., I completed a Master of Science at the Kim Jaechul Graduate School of AI at KAIST, under the supervision of Prof. Kijung Shin. I also hold a Bachelor of Science in Mathematics from POSTECH. For further details, please refer to my CV linked 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

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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. Estimating Simplet Counts via Sampling

   Hyunju Kim⋆, Heechan Moon⋆, Fanchen Bu, Jihoon Ko, and Kijung Shin

   The VLDB Journal
2. DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation

   Junghun Lee,  Hyunju Kim, Fanchen Bu, Jihoon Ko, and Kijung Shin

   AAAI 2025
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)