3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 1 cited
Learning Fast Approximations of Sparse Nonlinear Regression
Yuhai Song, Zhong Cao, Kailun Wu +2
The idea of unfolding iterative algorithms as deep neural networks has been widely applied in solving sparse coding problems, providing both solid theoretical analysis in convergen…
stat.ML2019★ 3 cited
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling
Guorui Zhou, Kailun Wu, Weijie Bian +3
Recently, click-through rate (CTR) prediction models have evolved from shallow methods to deep neural networks. Most deep CTR models follow an Embedding\&MLP paradigm, that is, fir…