4 citations · 9 across the 5 of their papers we have counts for
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cs.LG2020★ 4 cited
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data
Zhaocheng Liu, Qiang Liu, Haoli Zhang +1
For sake of reliability, it is necessary for models in real-world applications to be both powerful and globally interpretable. Simple classifiers, e.g., Logistic Regression (LR), a…
cs.SI2020★ 1 cited
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective
Qiang Liu, Haoli Zhang, Zhaocheng Liu
In recent years, substantial progress has been made on Graph Convolutional Networks (GCNs). However, the computing of GCN usually requires a large memory space for keeping the enti…
cs.LG2020★ 4 cited
An Empirical Study on Feature Discretization
Qiang Liu, Zhaocheng Liu, Haoli Zhang
When dealing with continuous numeric features, we usually adopt feature discretization. In this work, to find the best way to conduct feature discretization, we present some theore…