Zhicai Liu

Orcid: 0009-0001-5283-9954

According to our database1, Zhicai Liu authored at least 30 papers between 2013 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model.
Int. J. Neural Syst., October, 2024

Multiple-in-Single-Out Object Detector Leveraging Spiking Neural Membrane Systems and Multiple Transformers.
Int. J. Neural Syst., July, 2024

Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models.
Int. J. Neural Syst., June, 2024

Blockchain-Based Privacy-Preserving Authentication With Hierarchical Access Control Using Polynomial Commitment for Mobile Cloud Computing.
IEEE Internet Things J., May, 2024

A Parallel Convolutional Network Based on Spiking Neural Systems.
Int. J. Neural Syst., May, 2024

Multi-directional feature fusion super-resolution network based on nonlinear spiking neural P systems.
Signal Process., 2024

Multi-level feature interaction image super-resolution network based on convolutional nonlinear spiking neural model.
Neural Networks, 2024

A detection method based on nonlinear spiking neural systems for infrared small targets.
Digit. Signal Process., 2024

A semantic segmentation method integrated convolutional nonlinear spiking neural model with Transformer.
Comput. Vis. Image Underst., 2024

A flexible and privacy-preserving federated learning framework based on logistic regression.
Comput. Electr. Eng., 2024

NSNP-DFER: A Nonlinear Spiking Neural P Network for Dynamic Facial Expression Recognition.
Comput. Electr. Eng., 2024

Refining Facial Expression Recognition with Bilinear ResSpikeNet (BRS-Net): ADeep Learning Approach.
Proceedings of the 2024 2nd Asia Conference on Computer Vision, 2024

2023
A Prediction Model Based on Gated Nonlinear Spiking Neural Systems.
Int. J. Neural Syst., 2023

YOLO-TUF: An Improved YOLOv5 Model for Small Object Detection.
IAIC (1), 2023

2022
An Efficient Privacy-Aware Authentication Scheme With Hierarchical Access Control for Mobile Cloud Computing Services.
IEEE Trans. Cloud Comput., 2022

ConvSNP: a deep learning model embedded with SNP-like neurons.
J. Membr. Comput., 2022

2020
Detection and Identification of Stored-Grain Insects Using Deep Learning: A More Effective Neural Network.
IEEE Access, 2020

The Soft Sets and Fuzzy Sets-Based Neural Networks and Application.
IEEE Access, 2020

2019
An Efficient Privacy-aware Authentication Scheme for Distributed Mobile Cloud Computing Services without Bilinear Pairings.
J. Inf. Sci. Eng., 2019

The relationship between soft sets and fuzzy sets and its application.
J. Intell. Fuzzy Syst., 2019

A Blockchain-Based Privacy-Awareness Authentication Scheme With Efficient Revocation for Multi-Server Architectures.
IEEE Access, 2019

2018
A Realistic Distributed Conditional Privacy- Preserving Authentication Scheme for Vehicular Ad Hoc Networks.
IEEE Access, 2018

Application of Object Detection Algorithm in Identification of Rice Weevils and Maize Weevils.
Proceedings of the 2018 2nd International Conference on Deep Learning Technologies, 2018

2017
A Method for Fuzzy Soft Sets in Decision-Making Based on an Ideal Solution.
Symmetry, 2017

A Lightweight Anonymous Authentication Protocol with Perfect Forward Secrecy for Wireless Sensor Networks.
Sensors, 2017

On the similarity property of some fuzzy reasoning methods.
J. Intell. Fuzzy Syst., 2017

A fuzzy soft set based approximate reasoning method.
J. Intell. Fuzzy Syst., 2017

Formal concept analysis via multi-granulation attributes.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

2015
On Induced Soft Sets and Topology for the Parameter Set of a Soft Set.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2013
Formal concept analysis based on the topology for attributes of a formal context.
Inf. Sci., 2013


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