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Hai-Sheng Li

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Preprint Sep 2026

A physics-enhanced bidirectional multi-order graph fusion network for interpretable bearing remaining useful life prediction

Accurate prediction of bearing remaining useful life (RUL) is a key challenge for intelligent maintenance. Although deep learning-based prediction methods have showed effectiveness, existing methods still have limitations in learning nonlinear bearing degradation processes and model interpretability. Especially in engi...

Haoxuan Zhang, Ding-Hao Yang, Kang-Ning Zhang et al. · 0 citations
Sep 2026

Mixture-of-Experts Electroencephalography-Functional Magnetic Resonance Imaging Fusion for Interpretable Computer-Assisted Brain Disorder Diagnosis.

Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) provide complementary information about brain function, and have shown significant promise in detecting functional abnormalities in various brain disorders. However, the distinct signal characteristics and disparate representational spaces of...

Rui-Zhe Zhong, Hai-Sheng Li, Qing-Chuan Zhang · 0 citations
Open access Aug 2026

A Multi-Chain Blockchain Framework for Trusted Data Management and Efficient Traceability in Fruit and Vegetable Supply Chains

Fruit and vegetable supply chains generate heterogeneous data across production, storage, logistics, and sales, creating challenges for trusted data sharing, privacy protection, and real-time traceability across distributed supply-chain information systems. Conventional single-chain blockchains suffer from limited scal...

Weiqiang Chen, Zhi-Yao Zhao, Hai-Sheng Li et al. · 0 citations

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