25 citations · 33 across the 6 of their papers we have counts for
6 papers
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…
Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences?
Zhuojun Gu, Quan Wang, Shuchu Han
Recent advances in Large Language Models (LLMs) highlight the need to align their behaviors with human values. A critical, yet understudied, issue is the potential divergence betwe…
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…
Nationality Classification Using Name Embeddings
Junting Ye, Shuchu Han, Yifan Hu +4
Nationality identification unlocks important demographic information, with many applications in biomedical and sociological research. Existing name-based nationality classifiers us…
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…
Where Graph Topology Matters: The Robust Subgraph Problem
Hau Chan, Shuchu Han, Leman Akoglu
Robustness is a critical measure of the resilience of large networked systems, such as transportation and communication networks. Most prior works focus on the global robustness of…