Guangzhi Xu

Orcid: 0000-0001-5877-5608

According to our database1, Guangzhi Xu authored at least 13 papers between 2011 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Lockdown effects on total suspended solids concentrations in the Lower Min River (China) during COVID-19 using time-series remote sensing images.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Application Research of Improved Particle Swarm Optimization Algorithm Used on Job Shop Scheduling Problem.
Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021

Research on Key Technology of Access Control Policies Based on Multi-Agent.
Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021

2020
A new multi-stage perturbed differential evolution with multi-parameter adaption and directional difference.
Nat. Comput., 2020

IPART: A Python Package for Image-Processing based Atmospheric River Tracking.
J. Open Source Softw., 2020

2019
User identification by keystroke dynamics using improved binary particle swarm optimisation.
Int. J. Bio Inspired Comput., 2019

2018
An Elitist Learning Particle Swarm Optimization With Scaling Mutation and Ring Topology.
IEEE Access, 2018

Cooperative Co-evolution with Principal Component Analysis for Large Scale Optimization.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

Origin Illusion, Elitist Selection and Contraction Guidance.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

2017
Second-order DE algorithm.
CAAI Trans. Intell. Technol., 2017

Conservatism and Adventurism in Particle Swarm Optimization Algorithm.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

2011
hUBI: An Optimized Hybrid Mapping Scheme for NAND Flash-Based SSDs.
Proceedings of the IEEE 10th International Conference on Trust, 2011

AoDI: an allocation-on-demand incremental volume based on LVM.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011


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