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Xiao-Lan Xie

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Open access Sep 2026

Improving Parameter-Efficient Medical Image Classification with Lesion-Aware Hierarchical Knowledge Distillation

Compact deep models are attractive for medical image classification, but conventional knowledge distillation mainly transfers class-level predictions and may not adequately preserve lesion-relevant spatial cues. To address this limitation, we propose LaHKD, a lesion-aware hierarchical knowledge distillation framework f...

Ya-Rong Liu, Run-Mei Xie, Xiao-Lan Xie et al. · 0 citations
Open access Aug 2026

A Short-Term Electric Load Forecasting Method Integrating Grouped Exogenous Variable Recalibration and Calendar–Causal Dual Correction

Short-term electric load forecasting is essential to the secure and stable operation and economic dispatch of power systems, and its accuracy directly affects grid dispatch decisions and operational efficiency. To address the inadequate modeling of heterogeneity among historical exogenous variables, the underutilizatio...

Peng-Yang Liu, Xiao-Lan Xie · 0 citations
Open access Aug 2026

Cloud Resource Workload Forecasting Method Based on the MST-iTransformer Model

The proposed MST-iTransformer model achieves simultaneous reductions in prediction errors and inference latency, validating the effectiveness of the multi-scale temporal encoding, sparse attention mechanism, and adaptive feature selection modules in improving forecasting accuracy and computational efficiency.

Xiao-Lan Xie, Jing-Yuan Chen · 1 citation

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