17 citations · 17 across the 4 of their papers we have counts for
4 papers
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis
Yurong Zhong, Zhe Xie, Weiling Li +1
High-Dimensional and Incomplete (HDI) data is commonly encountered in big data-related applications like social network services systems, which are concerning the limited interacti…
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks
Yurong Zhong, Zhe Xie, Weiling Li +1
An Undirected Weighted Network (UWN) is commonly found in big data-related applications. Note that such a network's information connected with its nodes, and edges can be expressed…
Quantum support vector machines for aerodynamic classification
Xi-Jun Yuan, Zi-Qiao Chen, Yu-Dan Liu +5
Aerodynamics plays an important role in aviation industry and aircraft design. Detecting and minimizing the phenomenon of flow separation from scattered pressure data on airfoil is…
An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks
Zhe Xie, Weiling Li, Yurong Zhong
Large-scale undirected weighted networks are usually found in big data-related research fields. It can naturally be quantified as a symmetric high-dimensional and incomplete (SHDI)…