4 citations · 9 across the 5 of their papers we have counts for
5 papers
FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost
Chenhao Feng, Haoli Zhang, Shakhzod Ali-Zade +17
Modern industrial Deep Learning Recommendation Models typically extract user preferences through the analysis of sequential interaction histories, subsequently generating predictio…
DNN2LR: Automatic Feature Crossing for Credit Scoring
Qiang Liu, Zhaocheng Liu, Haoli Zhang +2
Credit scoring is a major application of machine learning for financial institutions to decide whether to approve or reject a credit loan. For sake of reliability, it is necessary…
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…
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…
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…