1 citations · 1 across the 4 of their papers we have counts for
4 papers
A Proportional-Integral Controller-Incorporated SGD Algorithm for High Efficient Latent Factor Analysis
Jinli Li, Shiyu Long, Minglian Han
In industrial big data scenarios, high-dimensional sparse matrices (HDI) are widely used to characterize high-order interaction relationships among massive nodes. The stochastic gr…
An ADRC-Incorporated Stochastic Gradient Descent Algorithm for Latent Factor Analysis
Jinli Li, Ye Yuan
High-dimensional and incomplete (HDI) matrix contains many complex interactions between numerous nodes. A stochastic gradient descent (SGD)-based latent factor analysis (LFA) model…
Fast Latent Factor Analysis via a Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm
Li Jinli, Yuan Ye
A high-dimensional and incomplete (HDI) matrix can describe the complex interactions among numerous nodes in various big data-related applications. A stochastic gradient descent (S…
A Nonlinear PID-Enhanced Adaptive Latent Factor Analysis Model
Jinli Li, Ye Yuan
High-dimensional and incomplete (HDI) data holds tremendous interactive information in various industrial applications. A latent factor (LF) model is remarkably effective in extrac…