Wooyoung Kim

Postdoctoral Researcher in AI

Knowledge Graph, Ontology, LLM, GraphRAG, Graph Augmented LLM, Neuro-Symbolic AI

About

I am an AI researcher specializing in Graph and Language Models. I hold a Ph.D. in Industrial Engineering from Yonsei University, where my research focused on integrating graph-structured knowledge with large language models. I also hold a Bachelor’s degree in Theology and Computer Science from Yonsei University, and have pursued additional studies in Theology at Sungkonghoe University (Anglican Church University in Korea). My research interests include graph-augmented large language models, neuro-symbolic reasoning, and the use of AI for sign language translation and generation.

Links

• CV
• Google Scholar
• Github
• Email

I am always open to discussions and collaborations on related research topics.
timothy@yonsei.ac.kr

Selected Publication

• Addressing Information Bottlenecks in Graph Augmented Large Language Models via Graph Neural Summarization
  Information Fusion (JCR Top 1%, IF=15.5)

News

• Mar 2026 — Released an open-source academic reviewer agent, inspired by the Stanford review-agent style, for multi-perspective pre-submission paper reviews without reset waiting and without a 15-page limit.
• Feb 2026 — Invited to participate in an online Graph Interview hosted by the Graph User Group (GuG).
• Jan 2026 — “Graph Discrete Prompt Optimization for Knowledge Graph Question Answering” accepted at WWW 2026.
• Sep 2025 — “Addressing Information Bottlenecks in Graph Augmented Large Language Models via Graph Neural Summarization” accepted at Information Fusion (JCR Top1%, IF=15.5).
• Sep 2025 — Started postdoctoral research at Yonsei University.