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Yi-Yang Wu

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Open access Aug 2026

Conditional Information-Bottleneck Graph Clustering for Structured Representation Learning in Dynamic Vehicular ISAC Networks

IC-GMRO is presented, a conditional information-bottleneck graph-clustering framework for structured representation learning in multi-agent resource optimization and distinguishes representation-level information guarantees from the idealized potential and projected-dual arguments used only to motivate the practical neural updates.

Yi-Yang Wu, Hongqiu Zhu · 0 citations