Author

Si-Nuo Fan

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Conference Open access Sep 2026

Budget-Aware LLM Quantization and Low-Rank Correction via Information-Guided Subspace Matrices

A training-free framework, BAL-ANCER, which achieves global budget allocation for mixed-precision quantization and low-rank correction through information-guided subspace matrices, allowing a principled greedy allocator to distribute compression bits and ranks across the entire model.

Si-Nuo Fan, Ying-Jie Lao · Proceedings of the Thirty-Fi... · 0 citations

Aug 2026

KGEMD: knowledge-guided enhanced multimodal detection for fake news

The results indicate that explicitly modeling semantic conflict as a discriminative feature effectively improves detection precision and generalization, providing a robust solution for factual verification in complex media environments.

Zi-Heng Wang, Jun-Fang Song, Shu-Yu Wang et al. · Multimedia Systems · 0 citations