News

Research Experience

NC AI
Incoming Research Engineer, VARCO Chat Division (Dec. 2025 expected start)
GraphAI
SW Engineering Intern, R&D Division (Sep. 2025 - Dec. 2025)

Education

KAIST
M.S. in Artificial Intelligence (Sep. 2023 - Feb. 2026 expected)
Data Mining Lab, Advisor: Kijung Shin
GIST
B.S. in Electrical Engineering and Computer Science (Mar. 2019 - Aug. 2023)
Graduated Magna Cum Laude (tGPA 4.14 / 4.5, Major 4.22 / 4.5)
UC Berkeley
Exchange Program (Jun. 2021 - Aug. 2021)

Publications

Links provided where available.

RWNN teaser
Empirical Evaluation of Walk Strategies and Model Sizes in Random-Walk Neural Networks
Yuyeong Kim, Kijung Shin
Graphlets teaser
Beyond Neighbors: Distance-Generalized Graphlets for Enhanced Graph Characterization
Geon Lee, Kijung Shin, Yeongho Kim, Yuyeong Kim
WWW 2025 [Paper | Code]
CAPEAM teaser
Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents
Byeonghwi Kim, Cheolhong Min, Jinyeon Kim, Jonghyun Choi, Yuyeong Kim
ICCV 2023 [Paper | Code | Project]
Psychopathology teaser
Emergence of Psychopathological Computations in Large Language Models
Denny Borsboom, Hyeonjin Hwang, Jaemin Yoo, Kijung Shin, Kyuri Park, Sooyong Lee, Taekwan Kim, Yuyeong Kim
arXiv 2025 [Paper]
ECLAIR teaser
ECLAIR: Event-Cognizant Language Interaction Embodied Robots
Byeonghwi Kim, Cheolhong Min, Jinyeon Kim, Jonghyun Choi, Taewoong Kim, Yuyeong Kim
CVPRW 2023 [Paper]

Projects

Sep. 2024 - Present (KAIST)
Graph Foundation Model
Developing a transformer-based graph foundation model for universal graph representation.
Keywords: Graph Representation Learning, Foundation Model
Mar. 2025 - Jun. 2025 (KAIST)
Multi-Agent Code Generation with SHPPO
Developed a multi-agent reinforcement learning framework for code generation using large language models.
Keywords: Reinforcement Learning, Multi-Agent Systems, LLM Fine-Tuning
Sep. 2022 - Feb. 2023 (GIST)
Embodied Artificial Intelligence
Built an agent using human-annotated task descriptions to optimize planning and object interaction; 1st place, ALFRED challenge at CVPRW.
Co-proposed and advised algorithm development for NIA's Korean household instruction-following dataset.
Keywords: Autonomous Agent, Natural Language Processing, Multimodal Learning
Aug. 2021 - Dec. 2021 (GIST)
Video Understanding
Co-developed shot-detection task and algorithm for TV entertainment programs with NCSoft AI Center.
Keywords: Video Understanding, Temporal Action Localization, Shot Detection

Honors and Awards

Feb. 2023 1st Place in Generalist Language Grounding Agents Challenge (CVPRW)
Built an action planning system that generates sub-actions to complete human instructions
Sep. 2022 - Feb. 2023 National AI Project Advisory Member on Instruction-Following Dataset
Collaborated with NIA on dataset development
Mar. 2021 - Aug. 2021 Hongboksun Scholarship
Awarded a $1,800 stipend for one semester
Jun. 2021 - Sep. 2022 National Science and Technology Scholarship (Bachelor's Program)
Full tuition coverage for academic excellence
Jun. 2021 - Sep. 2021 GIST Summer Undergraduate Research Fellowship
Conducted experiments on feature pyramid layer configurations
Mar. 2020 - Sep. 2022 Academic Excellence Scholarship
Full tuition coverage for outstanding academic performance
More (Academic Service)