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Jun-Gi Jang

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Book Open access Aug 2026

Interplay Between Classical Tensor Methods And Foundation Models

This workshop aims to provide a forum for advancing tensor methods and applying them to various applications at the intersection of data mining and modern machine learning to foster an interactive environment for researchers to exchange ideas and build connections across communities.

Dawon Ahn, Yong-chan Park, Taehyung Kwon et al. · 0 citations
Book Open access Aug 2026

ProgNet: Program-Grounded Evidence Composition for Interpretable Graph Classification

ProgNet, a graph learning framework for interpretable graph classification that treats explanatory structures as first-class, reusable components of the prediction mechanism, introduces a paradigm where reasoning is grounded in a shared vocabulary of reusable structural programs.

Minseok Jeon, Seunghyun Park, Jun-Gi Jang · 0 citations