Multi-modal hashing converts high-dimensional features into compact binary codes while preserving semantic similarity, thereby achieving high performance with lower storage and computational costs. However, existing methods generally overly depend on discrete supervisory information, ignoring the ambiguity of labels an...
Chao-Qun Zheng, Rui-Fan Zuo, Feng-Ling Li et al.· ACM Transactions on Multimed...· 0 citations
The proliferation of multimodal misinformation on social media poses significant challenges for rumor detection. Existing approaches typically treat user comments as homogeneous auxiliary features for aggregation. However, this assumption overlooks the significant heterogeneity in comment quality, where high-value comm...
Heng Zhang, Wei-Yu Zhang, Chao-Qun Zheng et al.· Proceedings of the 28th Inte...· 0 citations
RES-MR is proposed, a novel Risk-aware Reasoning framework for Explainable and Safe Medication Recommendation using LLMs that significantly outperforms state-of-the-art baselines in terms of accuracy, safety, and explainability.
Cong Wang, Jin Li, Shou-Jin Wang et al.· Annual International ACM SIG...· 1 citation
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