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Author

Yan Lu

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Dataset Open access Aug 2026

PatchChestCT: A patch-level spatial annotation dataset for nine abnormalities in chest CT

This work introduces a token-aligned annotation scheme that is efficient, scalable, and naturally integrates with modern deep learning architectures like Transformers, and shows that models trained with this scheme achieved higher localization performance than weakly supervised baselines trained on image-level labels a...

Yingtai Li, Hong-Chun Zhang, Meng-Yao Xu et al. · 0 citations
Open access Aug 2026

A zero-sequence-enhanced 7-channel MTF-ResNet18-MSA framework for transmission line fault diagnosis

Results indicate that the proposed model provides an effective representation-learning approach for simulated transmission-line fault classification, and independent validation under a retraining protocol further supports the reproducibility of the framework on another simulated power-line fault dataset.

Yan Lu, Wenjuan Zheng, Liming Wang · 0 citations
Open access 2026

Multi-Horizon Transformer Oil-Temperature Forecasting: Temporal Dependence, Load-Variable Utility, and Model Complexity

Accurate transformer oil-temperature forecasting is important for thermal-risk assessment and operational planning. However, reported gains from complex forecasting models may be affected by future information leakage, weak seasonal baselines, inconsistent target periods, and test-based model selection. This study esta...

Yan Lu, Wen-Jing Zheng · 0 citations

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