Author

Jing-Jing Liu

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#machine learning Preprint Oct 2026

Learning to Select Features with Manifold Deep Unfolding PCA

Unsupervised feature selection (UFS) is of great significance in image processing and pattern recognition. Nevertheless, existing model-based methods often rely on manually tuned hyperparameters, while deep learning-based methods generally require massive training data. To address these issues, this paper proposes an e...

Jing-Jing Liu, Pei Tai, Xian-Chao Xiu et al. · 0 citations

Preprint Sep 2026

PICANet: Physics-Informed Cascaded Asymmetric Network for Infrared Small Target Detection

Infrared small target detection (ISTD) is an important research direction in image processing. However, existing methods are limited by severe background noise propagation and target degradation in high-level semantic features. To address these limitations, this paper proposes a plug-and-play physics-informed cascaded...

Jing-Jing Liu, Yi Han, Xianchao Xiu et al. · 0 citations