Author

Xiaobo Liu

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Preprint Sep 2026

RoES: Rotational Equivariant Selective-frequency Fusion for Multimodal Images

RoES, a Rotational Equivariant Selective-frequency fusion network, introduces a trainable rotation-enhanced updater/predictor module to dynamically decouple low- and high-frequency components, establishing a robust solution for multimodal fusion by reconciling frequency-selective features with equivariant constraints.

Jia-Bao Wang, Wen-Jian Liu, Yao-Ming Cai et al. · 0 citations

Conference Open access Sep 2026

Beyond Implicit Constraint: Explicit Low-Rank Structured Subspace Learning for Fast Attributed Graph Clustering

ELSS learns an explicit and nonlinear low-rank subspace within a graph-structured embedding space, effectively un-covering latent cluster structures and introduces a homophily-aware adaptive graph filter, which dynamically calibrates smoothing intensity to preserve discriminative ego-information.

Yao-Ming Cai, Song Liu, Zijia Zhang et al. · Proceedings of the Thirty-Fi... · 0 citations