Ziquan Zhu

Orcid: 0000-0002-2356-7224

According to our database1, Ziquan Zhu authored at least 14 papers between 2022 and 2025.

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

Timeline

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PhD thesis 
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Bibliography

2025
CTBViT: A novel ViT for tuberculosis classification with efficient block and randomized classifier.
Biomed. Signal Process. Control., 2025

2024
OPT-CO: Optimizing pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks.
Inf. Sci., 2024

Rethinking Personalized Federated Learning from Knowledge Perspective.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023
FECNet: a Neural Network and a Mobile App for COVID-19 Recognition.
Mob. Networks Appl., October, 2023

CovC-ReDRNet: A Deep Learning Model for COVID-19 Classification.
Mach. Learn. Knowl. Extr., June, 2023

AdaD-FNN for Chest CT-Based COVID-19 Diagnosis.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

Deep learning in food category recognition.
Inf. Fusion, 2023

SNELM: SqueezeNet-Guided ELM for COVID-19 Recognition.
Comput. Syst. Sci. Eng., 2023

WACPN: A Neural Network for Pneumonia Diagnosis.
Comput. Syst. Sci. Eng., 2023

TBDLNet: a network for classifying multidrug-resistant and drug-sensitive tuberculosis.
CoRR, 2023

DLBCNet: A Deep Learning Network for Classifying Blood Cells.
Big Data Cogn. Comput., 2023

2022
ODET: Optimized Deep ELM-based Transfer Learning for Breast Cancer Explainable Detection.
EAI Endorsed Trans. Scalable Inf. Syst., 2022

NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network.
Int. J. Intell. Syst., 2022

RDNet: ResNet-18 with Dropout for Blood Cell Classification.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022


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