2 papers
cs.LG2022
NECA: Network-Embedded Deep Representation Learning for Categorical Data
Xiaonan Gao, Sen Wu, Wenjun Zhou
We propose NECA, a deep representation learning method for categorical data. Built upon the foundations of network embedding and deep unsupervised representation learning, NECA dee…
cs.LG2021
Seed Stocking Via Multi-Task Learning
Yunhe Feng, Wenjun Zhou
Sellers of crop seeds need to plan for the variety and quantity of seeds to stock at least a year in advance. There are a large number of seed varieties of one crop, and each can p…