M.S. Student, KAIST
School of Computing
21supersoo [AT] kaist.ac.kr
Hello! I am expected to become a first-year Ph.D. student at UPenn ESE, advised by professor Dinesh Jayaraman, starting from Fall 2025.
KAIST MLML Lab Daejeon, Republic of Korea
M.S. in School of Computing Mar. 2023 - Feb. 2025
KAIST Daejeon, Republic of Korea
B.S. in Computer Science Mar. 2018 - Feb. 2023
Minor in Industrial and Systems engineering
Semiminor in Artificial Intelligence
A Smooth Sea Never Made a Skilled SAILOR:Robust Imitation via Learning to Search
Arnav Kumar Jain, Vibhakar Mohta, Subin Kim, Atiksh Bhardwaj, Juntao Ren, Yunhai Feng, Sanjiban Choudhury, Gokul Swamy
preprint
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)
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
Cornell PoRTaLIthaca, NY, U.S.
Research Intern(remote) Sep. 2024 - Feb. 2025, (onsite) Feb. 2025 - May. 2025
Advisor: Sanjiban Choudhury, Arnav Kumar Jain, Gokul Swamy
Hybrid training of Offline diffusion policy & online MBRL (To submit to ICML 2025)
KAIST MLMLabDaejeon, Republic of Korea
M.S.Mar. 2023 - Feb. 2025 (expected)
Advisor: Sungjin Ahn
Divide-and-conquer strategy for goal-conditioned MBRL agent (ICML 2024)
KAIST DS Lab Daejeon, Republic of Korea
Research InternJuly. 2022 - Jan. 2023
Advisor: Sundong Kim, Meeyoung Cha
Simplify & extend ARC for Research-optimized dataset (NeurIPS nCSIW 2022)KAIST DM LabSeoul, Republic of Korea
Research InternDec. 2021 - June. 2022
Advisor: Kijung Shin
KAIST PROSYS LabDaejeon, Republic of Korea
Research InternJune. 2021 - Sep. 2021
Advisor: Kihong Heo
"Tracer: Signature-based Static Analysis for Detecting Recurring Vulnerabilities"(Submitted to ICSE 2022, 2nd author)
KAIST CDSN LabDaejeon, Republic of Korea
Research InternJan. 2021 - June. 2021
Advisor: Sumin Han, Dongman Lee
Bookend Daejeon, Republic of Korea
Software Engineering InternAug. 2022 - Dec. 2022
Bank of Wine Daejeon, Republic of Korea
Software Engineering InternJune. 2022 - Aug. 2022
RedWit Daejeon, Republic of Korea
Software Engineering InternJune. 2021 - Aug. 2021
Deep Reinforcement Learning and Game AI Daejeon, Republic of Korea
Teaching AssistantMarch. 2024 - June. 2024
Best TA Award
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
Google ExploreCSR Daejeon, Republic of Korea
Workshop OrganizerSep. 2023 - Aug. 2024
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
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
Dr. Strategy: Model-Based Generalist Agents with Strategic DreamingICML 2024
What?
How can we make generalist agents that can reach diverse goals without specific training, with only pixel-level observation?
How?
Role
Playgrounds for abstraction and reasoningnCSI WS @ NeurIPS 2022
What?
How can we measure the intelligence of AGI?
How?
Role
Full CV in PDF.