Subin Kim
M.S. Student, KAIST
School of Computing
21supersoo [AT] kaist.ac.kr
About
Hello! I am currently a second-year M.S. student in the School of Computing at KAIST advised by Sungjin Ahn. Previously, I completed my B.S. in Computer Science at KAIST, and minored in Industrial and Systems Engineering.
My research aims at discovering the computational principles of human thinking and replicating them to build useful artificial intelligence. I approach this challenge by designing unsupervised algorithms that learn through interaction with complex environments, going beyond task-specific agents that are inherently narrow in their abilities.
- World Models Learning large models from video to develop a general understanding of the world and enable planning by imagining future outcomes of potential actions.
- Agent Objectives Now that we understand the space of agent objectives, we need to find scalable algorithms for exploration, empowerment, and skill discovery.
- Temporal Abstraction While humans plan at an abstract level, control algorithms are still limited by exploring, planing, and assigning credit at the level of primitive actions.
Education
KAIST MLML Lab Daejeon, Republic of Korea
M.S. in School of Computing Mar. 2023 - Feb. 2025(expected)
KAIST Daejeon, Republic of Korea
B.S. in Computer Science Mar. 2018 - Feb. 2023
Minor in Industrial and Systems engineering
Semiminor in Artificial Intelligence
Publications
* indicates equal contribution.
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming
{Hany Hamed*, Subin Kim*}, Dongyeong Kim, Jaesik Yoon, Sungjin Ahn
ICML 2024
Playgrounds for abstraction and reasoning
Subin Kim, Prin Phunyaphibarn, Donghyun Ahn, Sundong Kim
nCSI WS @ NeurIPS 2022
Korea Software Congress (KSC) 2022 (Best Paper Award)
Domestic
Test Bed for Abstraction and Reasoning
Subin Kim, Prin Phunyaphibarn, Donghyun Ahn, Sundong Kim
Journal of KIISE, Vol. 51, No. 1, Jan 2024
Analysis of impact on Seoul traffic congestion by Land Use using travel speed and POI
Subin Kim, Sumin Han, Dongman Lee
Korea Software Congress (KSC) 2021
Projects
NMix Q-learning: Investigating overestimation bias of Q-values
Subin Kim, Kyungwook Nam, Doojin Baek
Deep Reinforcement Learning (Spring 2023) (A+)
Skill: Pytorch, Python, Mujoco, Conda, DeepRL
Improving Directed Greybox Fuzzing using Monte-Carlo Decision Tree and Ant Colony Optimization
Taeeun Kim, Subin Kim, Geonho Koh, and Sungsoo Han
Artificial Intelligence Based Software Engineering (Fall 2021) (A+)
Skill: Python, C, LLVM, PL
Tracer: Signature-based Static Analysis for Detecting Recurring Vulnerabilities
Wooseok Kang, Byoungho Son*, Subin Kim*, Kihong Heo
Submitted to ICSE 2022
Skill: Python, C, C++, Docker, PL
NMix Q-learning: Investigating overestimation bias of Q-values
Subin Kim, Kyungwook Nam, Doojin Baek
Deep Reinforcement Learning (Spring 2023) (A+)
Skill: Pytorch, Python, Mujoco, Conda, DeepRL
Bank Of Wine Internal Payment System
Subin Kim
Bank Of Wine Intern Project summer 2022
Skill: React, React-Native, AntD UI, HTML, CSS, Javascript, MongoDB
Open Dialogue Generation based on knowledge graph
Subin Kim, Jinhyuk Jang, Sihyeon Kim, Duri Lee
Introduction to Artificial Intelligence (Spring 2022) (S)
Skill: Pytorch, Python, Tensorflow, GNN
Improving Directed Greybox Fuzzing using Monte-Carlo Decision Tree and Ant Colony Optimization
Taeeun Kim, Subin Kim, Geonho Koh, and Sungsoo Han
Artificial Intelligence Based Software Engineering (Fall 2021) (A+)
Skill: Python, C, LLVM, PL
Tracer: Signature-based Static Analysis for Detecting Recurring Vulnerabilities
Wooseok Kang, Byoungho Son*, Subin Kim*, Kihong Heo
Submitted to ICSE 2022
Skill: Python, C, C++, Docker, PL
Cheers: Interactive social platform for live-stream baseball game
Subin Kim, Chigon Ryu, Dain Kim, Huikyeong Ann
Artificial Intelligence Based Software Engineering (Fall 2021) (A+)
Skill: React, React-Native, HTML, CSS, Javascript, MongoDB
RedWit Internal Scheduling System
Subin Kim, Chigon Ryu
RedWit Intern Project summer 2021
Skill: React, React-Native, HTML, CSS, Javascript, MongoDB
PINTOS-KAIST: operating system framework for the x86-64 architecture (forked from stanford pintos project)
Subin Kim, Huikyeong Ann
Operating Systems and Lab (Spring 2021) (A)
Lab1 100/100 (avg 90.3), Lab2 118.24/120 (avg 85.08), Lab3 104.17/115 (avg 68.55), Lab4 133/150 (avg 59.78)
Skill: C, Linux OS
KENSV3: template for building prototypes of Ethernet/ARP/IP/TCP
Subin Kim, Huikyeong Ann
Introduction to Computer Networks (Fall 2021) (A)
PA1 7.19/8 (avg 6.57), PA2 7.5/8 (avg 6.62), PA3 6.95/8 (avg 5.18), PA4 9/9 (avg 7.17) + additional score, total 30/30 (avg 24.96)
Skill: C++, Docker, Ethernet/IP/TCP
Research Experiences
KAIST DS Lab Daejeon, Republic of Korea
Research InternJuly. 2022 - Jan. 2023
Advisor: Sundong Kim, Meeyoung Cha
- Participated in the project of building mini-ARC that extends the original ARC dataset to test the ability of AGI models.
- Hosted Happy ARC Day including over 25 participants to create and peer review mini-ARC
- This lead to the publication of "Playgrounds for Abstraction and Reasoning" in nCSI WS @ NeurIPS 2022 and also won Best Paper Award in KSC 2022.
- Gave a poster presentation in nCSI WS @ NeurIPS
- 3 publications, 2 conference presentations
- Skill: HTML, CSS, Javascript, Python, Flask, Django, ML
KAIST DM LabSeoul, Republic of Korea
Research InternDec. 2021 - June. 2022
Advisor: Kijung Shin
- Studied topics related to graph neural networks (GNN)
- Lead to the opportunity of starting "Open Dialogue Generation based on knowledge graph"
- Skill: Python, GNN
KAIST PROSYS LabDaejeon, Republic of Korea
Research InternJune. 2021 - Sep. 2021
Advisor: Kihong Heo
- Participated in building framework called 'Tracer' detecting software vulnerabilities by exploiting existing vulnerability patterns.
- Submitted "Tracer: Signature-based Static Analysis for Detecting Recurring Vulnerabilities" to ICSE (2022) as 2nd author.
- This project was accepted to CCS 2022, however, I did not participate in the later process.
- Gave a poster presentation for KAIST PL seminar (Host: Sukyoung Ryu)
- Skill: Python, C, C++, Pytorch, PL, ML
KAIST CDSN LabDaejeon, Republic of Korea
Research InternJan. 2021 - June. 2021
Advisor: Sumin Han, Dongman Lee
- Participated in predicting traffic flow through spatio-temporal neural networks.
- Submitted "Spatio-Temporal Attention based Conditional Traffic Flow Prediction in Urban Areas" to ECML-PKDD 2021 as 2nd author
- Publishd "Analysis of impact on Seoul traffic congestion by Land Use using travel speed and POI" in KSC 2021 as 1st author
- Skill: Python, Pytorch, Pandas, spatio-temporal prediction
Work Experiences
Bookend Daejeon, Republic of Korea
Software Engineering InternJune. 2023 - Dec. 2023
- Participated in building chrome extension using Chat-GPT with React, openAI API
- Skill: React, React-Native, HTML, CSS, Javascript, MongoDB, ChatGPT API
Bank of Wine Daejeon, Republic of Korea
Software Engineering InternJune. 2022 - Aug. 2022
- Participated in building internal payment system of the company with React, Redux, MongoDB, and AntD
- Skill: React, React-Native, AntD UI, HTML, CSS, Javascript, MongoDB
RedWit Daejeon, Republic of Korea
Software Engineering InternJune. 2021 - Aug. 2021
- Participated in building internal scheduling system of the company with React, Redux, and MongoDB
- Skill: React, React-Native, HTML, CSS, Javascript, MongoDB
Teaching Experiences
Deep Reinforcement Learning and Game AI Daejeon, Republic of Korea
Teaching AssistantMarch. 2024 - June. 2024
Hana Bank-KAIST Digital Warrior Program Daejeon, Republic of Korea
TA of Computer Science ProjectMarch. 2022 - June. 2022
TA of Data StructureOct. 2021 - Dec. 2021
KAIST Korean for International Students Daejeon, Republic of Korea
Teaching AssistantFeb. 2022 - Dec. 2022
KAIST Korean Camp for International Students Daejeon, Republic of Korea
Teaching AssistantJan. 2022 - Feb. 2022
Miscellaneous
Certified as Korean Red Cross lifeguard Daejeon, Republic of Korea
Jan. 2023 - Present
KAIST swimming team KAORI Daejeon, Republic of Korea
Senior memberJun. 2021 - Present
50m Silver medal in women backstroke (Daejeon Masters)Jun. 2022
50m Bronze medal in women freestyle (Daejeon Masters)Jun. 2022
Appendix
Certified as Korean Red Cross lifeguard Daejeon, Republic of Korea
Jan. 2023 - Present
KAIST swimming team KAORI Daejeon, Republic of Korea
Senior memberJun. 2021 - Present
50m Silver medal in women backstroke (Daejeon Masters)Jun. 2022
50m Bronze medal in women freestyle (Daejeon Masters)Jun. 2022
Vitæ
Full CV in PDF.
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KAIST Mar. 2023 - Feb. 2025 (expected)M.S. in School of Computing
MLML Lab -
KAIST DS Lab July. 2022 - Jan. 2023Research Intern
Abstraction and Reasoning Corpus -
Bank of Wine June. 2022 - Aug. 2022Software Engineering Intern
Full-stack -
KAIST DM Lab Dec. 2021 - June. 2022Research Intern
Graph Nueral Networks (GNN) -
KAIST PROSYS Lab June. 2021 - Sep. 2021Research Intern
software vulnerability detection -
RedWit June. 2021 - Aug. 2021Software Engineering Intern
Frontend -
KAIST CDSN Lab Jan. 2021 - June. 2021Research Intern
spatio-temporal neural network -
KAIST March. 2018 - Feb. 2023B.S. in Computer Science
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Sangsan High School Mar. 2015 - Feb. 2018High school
2nd place in Sangsan High Mathematics Competition