Author

Siyang Lu

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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, Siyang 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, Siyang Lu · 0 citations