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Ryan Jeon||

I am a fifth-year Ph.D. candidate in Data Science Department at Bowling Green State University, advised by Prof. Shuteng Niu.

My research advances AI by integrating Knowledge Graphs (KG) with Large Language Models (LLM), focusing on accuracy and robustness. I address LLM ’hallucinations’ through domain-specific fine-tuning and Retrieval-Augmented Generation (RAG). Additionally, I enhance graph-based models with continual learning techniques and develop defenses against adversarial attacks. By blending KGs with LLMs, I aim to improve context awareness in recommendation systems and reliability in question-answering platforms.

Prior to joining BGSU, I received my MS in Technology Management from Gies College of Business at University of Illinois at Urbana-Champaign. During that time, I managed multiple strategic business projects as a project manager.

Latest News

  • Aug. 2024
    πŸ‘¨πŸ»β€πŸ’» Panelist @ Graduate Student Organization
  • Mar. 2024
    πŸ‘¨πŸ»β€πŸ’» Paper Reviewer @ KDD 2024
  • Jan. 2024
    πŸ“Β  Paper Presentation @ ISIITA 2024
  • Oct. 2023
    πŸ‘¨πŸ»β€πŸ’» Panelist @ Student Perspectives on AI
  • Nov. 2022
    πŸ“Β  Paper Presentation @ IPCCC 2022

Publications and Papers Under Review

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    Flexible Memory Rotation (FMR): Rotated Representation with Dynamic Regularization to Overcome Catastrophic Forgetting in Continual Knowledge Graph Learning
    Anonymous
    Submitted, 2024
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      KGIF: Advancing Graph Attention Networks for Relation aware recommendations through Information Fusion
      Anonymous
      Submitted, 2024
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        Reinforced Contrastive Graph Neural Networks (RCGNN) for Anomaly Detection
        Zenan Sun, Jingyi Su, Dong Hyun Jeon, Alvaro Velasquez, Houbing Song and Shuteng Niu
        IEEE IPCCC, 2022

      Stories

      Making the world better place to live.

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      ProjectRAG based Knowledge Graph Construction on ALS
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      WorkshopVisualization Tool: Exploring COVID-19 Data
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      ProjectMultiple Sclerosis Analysis
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      ProjectJourney with AlaphaZero (feat. Tic-Tac-Toe)