41 citations · 125 across the 5 of their papers we have counts for
5 papers
Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing
Wenjie Liu, Junxiu Chen, Yuxiang Wang +3
The complex systems with edge computing require a huge amount of multi-feature data to extract appropriate insights for their decision making, so it is important to find a feasible…
A Unitary Weights Based One-Iteration Quantum Perceptron Algorithm for Non-Ideal Training Sets
Wenjie Liu, Peipei Gao, Yuxiang Wang +2
In order to solve the problem of non-ideal training sets (i.e., the less-complete or over-complete sets) and implement one-iteration learning, a novel efficient quantum perceptron…
An Efficient and Secure Arbitrary N-Party Quantum Key Agreement Protocol Using Bell States
Wen-Jie Liu, Yong Xu, Ching-Nung Yang +2
Two quantum key agreement protocols using Bell states and Bell measurement were recently proposed by Shukla et al.(Quantum Inf. Process. 13(11), 2391-2405, 2014). However, Zhu et a…
A Quantum-based Database Query Scheme for Privacy Preservation in Cloud Environment
Wenjie Liu, Peipei Gao, Zhihao Liu +2
Cloud computing is a powerful and popular information technology paradigm that enables data service outsourcing and provides higher-level services with minimal management effort. H…
Quantum Relief Algorithm
Wen-Jie Liu, Pei-Pei Gao, Wen-Bin Yu +2
Relief algorithm is a feature selection algorithm used in binary classification proposed by Kira and Rendell, and its computational complexity remarkable increases with both the sc…