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Author

Yongqiang Tang

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Conference Aug 2026

A multi-scale dual-branch spatial attention network with dynamic training for zero-shot image denoising

Zero-shot image denoising aims to restore a clean image from a single noisy observation without relying on external training data, which remains a challenging problem due to extremely limited supervision and complex noise characteristics. To address this issue, we propose a zero-shot denoising framework that combines a...

Hui-Hong Huang, Xiaowen Shi, Yong-Qiang Tang et al. · 0 citations
Oct 2026

Multiplex Network Unsupervised Representation With Adaptive Multi-View Tensor Graph Learning

The unsupervised representation learning of the multiplex network has attracted significant attention due to its powerful ability to model multiple relation types between nodes. Existing methods generally learn representations with the original graph structure but disregard the fact that the prior graph structure is in...

Yong-Qiang Tang, Rui-Wen Yuan, Yuan Xie et al. · 0 citations
Conference Aug 2026

Progressive prompt-guided network for unsupervised low-light image enhancement

A Progressive Prompt-Guided Enhancement Network (PPGENet) for unsupervised low-light image enhancement that leverages multimodal priors from CLIP and achieves superior performance in both quantitative metrics and visual quality.

Ming-Tong Chen, Xiaowen Shi, Yongqiang Tang et al. · 0 citations

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