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Author

Jia-Xin Li

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Sep 2026

FedEC-Dia: Explanation-Calibrated Federated Learning for Patient-Level Diabetes Digital Twin Risk Prediction Under Non-IID Healthcare Data.

Patient-level digital twins for diabetes oriented smart healthcare require risk models that can learn from distributed clinical data while remaining reliable across heterogeneous environments. Federated learning enables collaborative training without centralizing raw patient records, but non-independent and identically...

Yao Tong, Kong-Fa Hu, Zuo-Jian Zhou et al. · 0 citations
2026

PyS2CF-Mamba: A Pyramid Spatial–Spectral Competitive Fusion Mamba Network for Hyperspectral Image Classification

Hyperspectral image classification (HSIC) is a fundamental task in remote sensing scene understanding. However, existing methods still face the following three challenges: a balance between local edge details and long-range spatial dependencies, weak discriminative spectral dependency modeling, and a lack of adaptabili...

Yin-Ping Gao, Jia-Xin Li, Yong Wu et al. · 0 citations
2026

Interactive Multilevel Fusion With Dynamic Bounding Boxes for Small Object Detection in Clutter

Detecting small targets in remote sensing imagery remains a critical challenge due to the inherent limitations of low-resolution targets and the frequent clustering of small targets. To address these challenges, we propose an integrated set of improvements to the You Only Look Once (YOLO)v8 framework, leveraging cross-...

Chun-Zhi Li, Sheng-Yan Su, Xiao-Hua Chen et al. · 0 citations
Open access 2026

A High-Efficiency Diffusion Model-Inspired Network for Pixel-Level Self-Supervised Hyperspectral Anomaly Change Detection

A novel hyperspectral anomaly CD method named efficient latent denoising-inspired network (ELDI-Net) is proposed, which employs a one-step manifold projection paradigm, achieving high computational efficiency while preserving the noise-robustness advantages of generative models.

Xing Hu, Xiang-Cheng Liu, Chen-Xi Guo et al. · 0 citations

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