Research Interest
I am a Master student in MLML Lab. I am interested in reinforcement learning and cognitive AI (AGI). Currently, I am studying model-based, pixel-level zeroshot agent. This is an essay I wrote about the prospects of AI.
Education
- KAIST, M.S., Computer Science, Mar 2023 – present MLML Lab, Major on Computer Science.
- KAIST, B.S., Computer Science, Mar 2018 – Jan 2023 Major on Computer Science, minor on Industrial and Systems engineering. Semiminor in Artificial Intelligence.
Work Experience
- Research Intern, KAIST, DS Lab, (July 2022 – Jan 2022) Advisor: Sundong Kim -> "인지 및 추론 연구를 위한 Mini-ARC 벤치마크 데이터", KSC2022 (Best Paper Award)
- KAIRI Intern, KAIST, DM Lab (Dec 2021 – June 2022) Advisor: Kijung Shin
- SW Developer Intern, BankofWine (Jun 2022 - Aug 2022) -> code
- SW Developer Intern, RedWit (Jun 2021 - Aug 2021) -> Demo
- Research Intern, KAIST, PROSYS Lab, (June 2021 – Aug 2021) Advisor: Kihong Heo -> Submitted as 2nd author|Poster
- Research Intern, KAIST, CDSN Lab, (Jan 2021 – June 2021) Advisor: Dongman Lee, Sumin Han -> "Spatio-Temporal Attention based Conditional Traffic Flow Prediction in Urban Areas", Submitted as 2nd author to ECML-PKDD
-> "Playgrounds for Abstraction and Reasoning", NeurIPS nCSI Workshop 2022 | poster
-> "서울시의 토지 이용에 따른 도로의 차량 속도의 상관관계 분석" ,KCC2020
Extracurricular activities & Experiences
- Certified as Korean Red Cross lifeguard, Jan 2023
- Participated as an instructor on Digital Warrior program 2nd, Hana bank, March 2022 - Present
- Participated as an Assistant on HSS587, HSS590, Feb 2022 - Present
- Participated as an instructor on Korean Camp, Jan 2022 - Feb 2022
- Participated as an instructor on Digital Warrior program 1st, Hana bank, Oct 2021 - Dec 2021
- Joined KAIST RUN team, 2021 - Present
- Joined KAIST KAORIswimming club, Jun 2021 - Present
- KAIST Buddy program, 2018
- Joined KAIST pop band Sturgeon as a female drummer, 2018 - 2019
Projects/Courses
- NMix Q-learning: Investigating overestimation bias of Q-values
- proposal(presentation) | presentation slides | final(presentation) | paper
- Open Dialogue Generation based on knowledge graph
- proposal(presentation) | progress report(presentation) | final(presentation) | paper
- Movie recommender system based on emotion analysis
- proposal(presentation) | proposal(video) | final presentation | paper
- Improving Directed Greybox Fuzzing using Monte-Carlo Decision Tree and Ant Colony Optimization
- final presentation | code | paper
- Basics of machine learning
- projects
- Q&AI: An AI-Infused Question Answering System for Online Learning
- final paper
- Using Q-Learning(MDP) and Deep Q-Learning to solve grid-searching robots
- Assignment
- Implement simple operating system framework pintos-kaist for x86-64
- 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)
- code
- Implement social game streaming system that supports live stream, character movement, chatting, emoji, games, etc
- Lo-fi prototype | Hi-fi prototype | Project pitch | Video | Final report | Frontend Code, Backend Code
Contact
Subin Kim
21supersoo (at) kaist.ac.kr
1st year, M.S.
KAIST
Daejeon, Republic of Korea
(Last Update: 2023/11/19)