Author

Jin-Qiang Cui

2 papers indexed here

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Jul 2026

BlindPSNR: A No-Reference Fidelity Predictor for Low-Light Image Enhancement

Low-light image enhancement (LLIE) methods involve tunable parameters that are typically fixed, often leading to performance degradation when applied across scenes. Manually selecting the best configuration, however, can be time-consuming and not always practical. Peak signal-to-noise ratio (PSNR) is the natural fideli...

Mingzhe Lyu, Jin-Qiang Cui, Hong Zhang · arXiv.org · 0 citations

#machine learning Preprint Sep 2026

Topology-induced Operators Reveal Complementary Graph Representations without Training

This work shows that informative embeddings can be derived without complicated model design and gradient-based training, and suggests that informative graph embeddings can arise from carefully chosen topological transformations before any learning operation is applied.

Meng Qin, Jin-Qiang Cui, Hong-Wei Zheng et al. · 0 citations