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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Cong Wang

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Preprint Sep 2026

Incentive Noise and Structural Prior Infusion for Multi-modal Object Re-Identification

This work proposes a novel framework centered on Positive-Incentive Noise and structured prompt modulation that harnesses task-aware {\pi}-noise, sampled from a distribution conditioned on both visual and text inputs, to perturb global tokens and enable semantics-guided cross-modal compensation.

Wei-Xiang Zhou, Yu-Hao Wang, Xing-Guo Xu et al. · 0 citations
Jul 2026

Multi-Modal Object Re-Identification with Dual Semantic Guidance and Global-Local Mutual Modulation

A robust multi-modal ReID framework with dual semantic guidance and global-local mutual modulation, which mainly consists of three key components, namely the Text-Semantic Injector (TSI), the Masked Global-Local Modulator (MGLM), and the Hierarchical MoE Fusion (HMF).

Wei-Xiang Zhou, Xing-Guo Xu, Yu-Hao Wang et al. · 0 citations
Open access Jul 2026

Degradation-Aware Prompt Learning With Cross-Modal Compensation for Adverse Weather Removal

A Degradation-Aware Cross-Modal Prompt Compensation Network that leverages cross-modal degradation cues from a pre-trained vision-language model to condition restoration features within a unified backbone, achieving robust and perceptually consistent restoration across diverse weather conditions.

Wan-Shu Fan, Yunzhe Zhang, Yue Shen et al. · 0 citations

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