4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning
Yan Zhong, Xingyu Wu, Xinping Zhao +4
In practical domains, high-dimensional data are usually associated with diverse semantic labels, whereas traditional feature selection methods are designed for single-label data. M…
cs.LG2023★ 4 cited
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
Xingyu Wu, Yan Zhong, Jibin Wu +2
Algorithm selection, a critical process of automated machine learning, aims to identify the most suitable algorithm for solving a specific problem prior to execution. Mainstream al…