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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

Jie Wen

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Aug 2026

Dual-contrastive modality recovery for incomplete multi-modal brain disease diagnosis

Multi-modal learning is extensively applied to diagnose brain diseases such as epilepsy and Alzheimer's disease. However, incomplete multi-modal data, where some imaging modalities are unavailable or difficult to collect, limits the application of conventional methods. Additionally, existing approaches primarily focus...

Jin-Rong Cui, Wei-Hao Ye, Jie Wen et al. · 0 citations
Sep 2026

Multimodal Action Recognition via Causality-Inspired Graph Representation Learning

Multimodal human activity recognition (HAR) benefits from complementary skeleton, inertial, and visual observations. However, many learning-based models still treat relationships among modalities, joints, and sensor variables as symmetric associations. This limits their ability to represent asymmetric information flow...

Yang Lan, Xin Long, Yao-Yuan Zeng et al. · 0 citations
Aug 2026

CLIP-SGI: A Semantic-Guided and Instance-Consistent Framework for Generalizable Person Re-Identification

This work proposes CLIP-SGI, a semantic-guided and instance-consistent framework for generalizable person ReID that combines semantic guidance, domain-aware representation learning, and instance consistency to improve robustness under domain shifts.

Dai-Xin Liu, Yu Yang, Linlin Tang et al. · 0 citations

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