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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.LG2024
Automated Loss function Search for Class-imbalanced Node Classification
Xinyu Guo, Kai Wu, Xiaoyu Zhang +1
Class-imbalanced node classification tasks are prevalent in real-world scenarios. Due to the uneven distribution of nodes across different classes, learning high-quality node repre…
cs.NE2024
Pretrained Optimization Model for Zero-Shot Black Box Optimization
Xiaobin Li, Kai Wu, Yujian Betterest Li +3
Zero-shot optimization involves optimizing a target task that was not seen during training, aiming to provide the optimal solution without or with minimal adjustments to the optimi…