1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 1 cited
Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective
Yudong Yang, Kai Wu, Xiangyi Teng +3
The field of evolutionary many-task optimization (EMaTO) is increasingly recognized for its ability to streamline the resolution of optimization challenges with repetitive characte…
cs.CV2024★ 1 cited
Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
Jiaqi Liu, Kai Wu, Qiang Nie +6
Unsupervised Anomaly Detection (UAD) with incremental training is crucial in industrial manufacturing, as unpredictable defects make obtaining sufficient labeled data infeasible. H…