From March 9 (Sun) to March 12 (Wed), 2026, the Hayashi Lab presented six research papers at WSSIT 2026 (Workshop of Social System and Information Technology).

The presentations were delivered by B4 students Mr. Nishida and Mr. Oyama, M1 students Mr. Chen, Ms. Goto, and Mr. Cheng, and M2 student Mr. Yamamoto.

At this workshop, we reported a wide range of research outcomes related to data ecosystems, including simulation of data trading markets, data integration, metadata generation and similarity evaluation, and analytical methods for knowledge-sharing platforms, which are the main research themes of the Hayashi Lab.

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Title: LLM-Driven Metadata Generation via Schema Matching and Semantic Profiling

Authors: Mo Chen, Teruaki Hayashi

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Title: Dynamic Pricing Mechanism in Data Trading Markets and Sensitivity Analysis on Initial Prices

Authors: Kenshin Oyama, Teruaki Hayashi

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Title: Design and Robustness Evaluation of Reputation Systems for Data Trading Markets Under Malicious Users

Authors: Kenta Yamamoto, Teruaki Hayashi

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Title: Identifying Domain-Specific Data Integration Structures in Large-Scale Data Archives

Authors: Hina Goto, Teruaki Hayashi

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Title: Extraction of Synchronous Trends in Knowledge-Sharing Platforms Using Graph Signal Processing

Authors: Masafumi Nishida, Teruaki Hayashi

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Title: A Multi-View Fusion-Based Method for Learning Dataset Similarity from Metadata and Limited Real Data

Authors: Haoyang Cheng, Teruaki Hayashi