Jie Zhao

Orcid: 0000-0003-3315-4447

Affiliations:
  • Cornell University, School of Electronic and Computer Engineering, Ithaca, NY, USA
  • Guangdong University of Technology, School of Management, Department of Information Management Engineering, Guangzhou, China


According to our database1, Jie Zhao authored at least 14 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Rough set Theory-Based group incremental approach to feature selection.
Inf. Sci., 2024

2021
Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines.
Future Gener. Comput. Syst., 2021

An Evolutionary Frog Leaping Algorithm for Global Optimization Problems and Applications.
Comput. Intell. Neurosci., 2021

2020
Accelerating information entropy-based feature selection using rough set theory with classified nested equivalence classes.
Pattern Recognit., 2020

Spherical search optimizer: a simple yet efficient meta-heuristic approach.
Neural Comput. Appl., 2020

Memetic quantum evolution algorithm for global optimization.
Neural Comput. Appl., 2020

Evaluating the reliability of sources of evidence with a two-perspective approach in classification problems based on evidence theory.
Inf. Sci., 2020

NEC: A nested equivalence class-based dependency calculation approach for fast feature selection using rough set theory.
Inf. Sci., 2020

2019
Memetic frog leaping algorithm for global optimization.
Soft Comput., 2019

2016
A two-stage quantum-behaved particle swarm optimization with skipping search rule and weight to solve continuous optimization problem.
Neural Comput. Appl., 2016

Extracting and reasoning about implicit behavioral evidences for detecting fraudulent online transactions in e-Commerce.
Decis. Support Syst., 2016

2015
基于全局正区域不一致性的快速求核算法 (Global Positive Region Inconsistency Based Attributes Core Computation).
计算机科学, 2015

2014
An Improved Shuffled Frog Leaping Algorithm with Single Step Search Strategy and Interactive Learning Rule for Continuous Optimization.
J. Comput., 2014

A quantum-behaved particle swarm optimization with memetic algorithm and memory for continuous non-linear large scale problems.
Inf. Sci., 2014


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