25 citations · 28 across the 5 of their papers we have counts for
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cs.LG2025
Automatic Demonstration Selection for LLM-based Tabular Data Classification
Shuchu Han, Wolfgang Bruckner
A fundamental question in applying In-Context Learning (ICL) for tabular data classification is how to determine the ideal number of demonstrations in the prompt. This work address…
cs.LG2020★ 2 cited
Supervised Feature Subset Selection and Feature Ranking for Multivariate Time Series without Feature Extraction
Shuchu Han, Alexandru Niculescu-Mizil
We introduce supervised feature ranking and feature subset selection algorithms for multivariate time series (MTS) classification. Unlike most existing supervised/unsupervised feat…
cs.LG2017★ 1 cited
Automatically Redundant Features Removal for Unsupervised Feature Selection via Sparse Feature Graph
Shuchu Han, Hao Huang, Hong Qin
The redundant features existing in high dimensional datasets always affect the performance of learning and mining algorithms. How to detect and remove them is an important research…