On 8th November, Ke Yu (Completed his Master's Course in September, 2025), Hayashi Laboratory from Department of Systems Innovation, received Grand Prize at the 6th Young Researchers' Award by TOME R&D Inc.
Grand Prize at the 6th Young Researchers' Award by TOME R&D Inc.
An award established to foster the next generation of young researchers in the field of artificial intelligence (intelligent information processing technologies), aiming to promote research that contributes to realizing a harmonious society between humans and machines.
About awarded research
The award was granted for Yu’s master’s thesis, titled “KGSynX: Knowledge Graph and Explainable Feedback Guided LLMs for Synthetic Tabular Data Generation.” Conventional synthetic data generation methods often maintain statistical similarity to the original data but fail to ensure logical consistency among features. The proposed method, KGSynX, overcomes this limitation by integrating knowledge graphs, large language models (LLMs), and explainable feedback using SHAP, thereby enabling the generation of controllable and semantically consistent synthetic tabular data.
Your impression & future plan
I am truly honored to receive this prestigious Grand Prize. In this study, I proposed a synthetic data generation method that integrates generative AI and knowledge graphs. The motivation behind my submission was my desire to explore how data can be utilized in a safe and socially beneficial manner. Encouraged by this award, I will continue to advance my research through industry–academia collaboration, aiming to contribute to real-world applications and societal impact.
Masafumi Komiya (M1), Department of Nuclear Engineering and Management, recieved Young Researcher Award at ICCCI2025
