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Author

Hua-Long Yu

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Sep 2026

MV-MLCF: A Semi-Supervised Self-training Method for Peptide Function Prediction Based on Multi-View and Multi-Label Co-Forest.

The results show that the proposed MV MLCF method significantly improves prediction accuracy and outperforms comparison algorithms, highlighting its potential in accelerating peptide-based drug discovery and reducing experimental costs.

Ji-Cong Duan, Shang Zheng, Xi-Bei Yang et al. · 0 citations
Open access Sep 2026

Telemetry-Robust Safe Zero-Shot Graph Multi-Agent Reinforcement Learning for Active Voltage Control Across Distribution Feeders

GRAS-AVC couples topology-aware policy inference with auditable physical screening for scalable sensing-to-control operation in DER-rich distribution networks and maintains 63.6% droop-relative reductions and improves bus–time exposure in every seed.

Bo-Yin Jin, Si-Qi Sun, Yun Zhang et al. · 0 citations

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