Zhengjun Li

According to our database1, Zhengjun Li authored at least 13 papers between 2007 and 2018.

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

Timeline

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2018
Effects of resting state condition on reliability, trait specificity, and network connectivity of brain function measured with arterial spin labeled perfusion MRI.
NeuroImage, 2018

2017
Assessing the mean strength and variations of the time-to-time fluctuations of resting-state brain activity.
Med. Biol. Engineering and Computing, 2017

2016
Animation Generating Based on MRLS Image Deformation.
Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016

2014
On the Structure Model of Green Supply Chain Management.
Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization, 2014

2013
Research on simulation consistency between NEC and HFSS on strange antenna for evolving antenna.
IJMIC, 2013

Design of wide-beam antenna using dynamic multi-objective BBO/DE.
IJCAT, 2013

2012
Improving fMRI activation detection sensitivity using intervoxel coherence mapping.
Int. J. Imaging Systems and Technology, 2012

Automated antenna design using paralleled differential evolution algorithm.
IJCAT, 2012

Twisted Helical Antenna for Satellite-Mobile Handset Using Dynamic Multi-objective Self-adapting Differential Evolution Algorithm.
Proceedings of the Computational Intelligence and Intelligent Systems, 2012

2011
An Effective Combination of Genetic Operators in Evolutionary Algorithm.
Proceedings of the 4th International Symposium on Computational Intelligence and Design, 2011

Dynamic constrained multi-objective model for solving constrained optimization problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Dynamic multi-objective differential evolution for solving constrained optimization problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2007
Describing the Nonstationarity Level of Neurological Signals Based on Quantifications of Time-Frequency Representation.
IEEE Trans. Biomed. Engineering, 2007


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