135 citations · 171 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 4 cited
Model Reuse with Reduced Kernel Mean Embedding Specification
Xi-Zhu Wu, Wenkai Xu, Song Liu +1
Given a publicly available pool of machine learning models constructed for various tasks, when a user plans to build a model for her own machine learning application, is it possibl…
cs.LG2019★ 32 cited
Multi-Label Learning with Deep Forest
Liang Yang, Xi-Zhu Wu, Yuan Jiang +1
In multi-label learning, each instance is associated with multiple labels and the crucial task is how to leverage label correlations in building models. Deep neural network methods…
cs.LG2016★ 135 cited
A Unified View of Multi-Label Performance Measures
Xi-Zhu Wu, Zhi-Hua Zhou
Multi-label classification deals with the problem where each instance is associated with multiple class labels. Because evaluation in multi-label classification is more complicated…