4 papers
Textual Self-attention Network: Test-Time Preference Optimization through Textual Gradient-based Attention
Shibing Mo, Haoyang Ruan, Kai Wu +1
Large Language Models (LLMs) have demonstrated remarkable generalization capabilities, but aligning their outputs with human preferences typically requires expensive supervised fin…
Silencer: Robust Community Detection by Silencing of Noisy Pixels
Kai Wu, Ziang Xie, Jing Liu
Real-world networks carry all kinds of noise, resulting in numerous challenges for community detection. Further improving the performance and robustness of community detection has…
DECN: Evolution Inspired Deep Convolution Network for Black-box Optimization
Kai Wu, Xiaobin Li, Penghui Liu +1
Evolutionary algorithms (EAs) have emerged as a powerful framework for optimization, especially for black-box optimization. Existing evolutionary algorithms struggle to comprehend…
AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks
Shibing Mo, Kai Wu, Qixuan Gao +2
In real-world applications, spectral Graph Neural Networks (GNNs) are powerful tools for processing diverse types of graphs. However, a single GNN often struggles to handle differe…