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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

Hao-Long Xiang

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Open access 2026

SSMFusion: A Large Vision Mamba Model With Adaptive Feature Disentanglement for Remote Sensing Spatiotemporal Fusion

Remote sensing spatiotemporal fusion aims to generate land surface observations with both high spatial and temporal resolution by integrating multisource satellite imagery, which is of great importance for applications, such as agricultural monitoring and environmental analysis. However, existing mainstream methods sti...

Liu-Wei Bian, Xiao-Long Xu, Zhan-Yang Xu et al. · 0 citations
Conference Open access Sep 2026

BAMFair: Barycenter Aligned Mediation for Fairness Across Multiple Sensitive Attributes

Achieving fairness in machine learning models while maintaining high accuracy is an important but complex task, especially when handling multiple sensitive attributes. Traditional fairness methods often struggle to eliminate bias within subgroups divided by sensitive attributes. Several key challenges have been identif...

Heng-Yu Yue, Fan Wang, Wei-Ming Liu et al. · 0 citations
Book Open access Aug 2026

Slow-OCast: Slow-Varying Motion Inspired Transfer Learning for Regional High-Resolution Ocean Environmental Forecasting

This work introduces Slow-OCast, a transfer-learning based model designed for high-resolution ocean environmental forecasting that incorporates the slow-varying motion characteristics of the ocean and comprises two insightful modules.

Qi-Xiu Li, Xiang Zhu, Xiao-Yong Li et al. · 0 citations
Book Open access Jul 2026

Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for Recommendation

This work proposes Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for recommendation and integrates these views through contrastive learning to generate robust and accurate recommendations.

Yuwen Liu, Lian-Yong Qi, Xu-Cheng Zhou et al. · 0 citations
Book Open access Aug 2026

Slow-OCast: Slow-Varying Motion Inspired Transfer Learning for Regional High-Resolution Ocean Environmental Forecasting

Regional high-resolution ocean environmental forecasting combines spatial numerical modeling with temporal prediction, and is essential for monitoring the ecological security of specific ocean regions. In recent years, deep learning methods are generally more computationally efficient than traditional numerical models...

Qixiu Li, Xiang Zhu, Xiaoyong Li et al. · 0 citations
Open access Jul 2026

Cloud–edge collaborative intelligence for wind power forecasting: large–small model synergy with LightGBM and CNN–BiLSTM

A novel cloud–edge collaborative intelligence framework which enables synergy between large and small models for STWPF and outperforms state-of-the-art baselines, highlighting the practical value of the framework.

Zhiqiang Jiang, Changfu You, Dong Ma et al. · 0 citations

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