6 papers
MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks
Hyo Seo Kim, Gang Luo, Can Chen +3
Evolutionary algorithms for adversarial attacks leverage population-based search to discover perturbations without gradient information, but suffer from inefficient crossover opera…
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…
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…
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…
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…
Efficient and Robust Continual Graph Learning for Graph Classification in Biology
Ding Zhang, Jane Downer, Can Chen +1
Graph classification is essential for understanding complex biological systems, where molecular structures and interactions are naturally represented as graphs. Traditional graph n…