6 papers
From Prediction to Diagnosis: Reasoning-Aware AI for Photovoltaic Defect Inspection
Dev Mistry, Feng Qiu, Bo Chen +4
Reliable photovoltaic defect identification is essential for maintaining energy yield, ensuring warranty compliance, and enabling scalable inspection of rapidly expanding solar fle…
Exploring Dynamic Properties of Backdoor Training Through Information Bottleneck
Xinyu Liu, Xu Zhang, Can Chen +1
Understanding how backdoor data influences neural network training dynamics remains a complex and underexplored challenge. In this paper, we present a rigorous analysis of the impa…
SynCell: Contextualized Drug Synergy Prediction
Keqin Peng, Guangxin Su, Qinshan Shi +4
Drug synergy is profoundly influenced by cellular context, as variations in protein interaction landscapes and pathway activities across cell types reshape how drugs act in combina…
Data-driven model order reduction for T-Product-Based dynamical systems
Shenghan Mei, Ziqin He, Yidan Mei +4
Model order reduction plays a crucial role in simplifying complex systems while preserving their essential dynamic characteristics, making it an invaluable tool in a wide range of…
HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational Pharmacovigilance
Zhaoying Wang, Yingdan Shi, Xiang Liu +3
Drug-side effect research is vital for understanding adverse reactions arising in complex multi-drug therapies. However, the scarcity of higher-order datasets that capture the comb…
Heterogeneous Entity Representation for Medicinal Synergy Prediction
Jiawei Wu, Jun Wen, Mingyuan Yan +4
Medicinal synergy prediction is a powerful tool in drug discovery and development that harnesses the principles of combination therapy to enhance therapeutic outcomes by improving…