Author

Siyang Lu

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#artificial intelligence Preprint Sep 2026

Think Before You Restore: Risk-Aware Manchu Manuscript Restoration with Stroke-Guided Attention

Full-page blind restoration of historical Manchu manuscripts is challenging due to scarce annotations, unknown degradation regions, and fragile connected strokes. Generic restoration models may improve visual quality but often modify intact content, leading to over-restoration. We propose SAGE-Restore (Stroke-Aware Gat...

Ming-Qiu Liang, Dongdong Wang, Si-Yang Lu et al. · 0 citations

Open access Aug 2026

Peptide language pragmatic analysis and two-stage hierarchical learning framework for therapeutic peptide prediction

TPpred-PepPA is developed, a two-stage hierarchical deep learning framework based on the ProtT5 pre-trained large language model that achieves state-of-the-art predictive performance and provides valuable interpretability for the discovery of multi-functional therapeutic peptides.

Ke Yan, Si-Yang Lu, Shutao Chen et al. · BMC Biology · 0 citations

#artificial intelligence Preprint Aug 2026

Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection

Log Reconstruction and Distance (LoRD), a lightweight post-hoc calibration framework for reliable log anomaly detection, is proposed and demonstrates that LoRD consistently improves confidence reliability and substantially reduces overconfident anomaly-related errors without sacrificing anomaly detection performance.

Bin Li, Dongdong Wang, Si-Yang Lu · 0 citations