Ziquan Zhu

According to our database, Ziquan Zhu authored at least 15 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CTBViT: A novel ViT for tuberculosis classification with efficient block and randomized classifier.

Si-Yuan Lu, Ziquan Zhu, Yao Tang, Xin Zhang, Xingxiang Liu

Biomed. Signal Process. Control., 2025

2024

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

Ziquan Zhu, Lu Liu, Robert C. Free, Ashiq Anjum, John Panneerselvam

Inf. Sci., 2024

Rethinking Personalized Federated Learning from Knowledge Perspective.

Dezhong Yao, Ziquan Zhu, Tongtong Liu, Zhiqiang Xu, Hai Jin

Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.

J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, Shui-Hua Wang, Wei Wang, Yu-Dong Zhang, Hengde Zhu, Ziquan Zhu, J. M. Ferrández-Vicente

Inf. Fusion, December, 2023

FECNet: a Neural Network and a Mobile App for COVID-19 Recognition.

Yudong Zhang, Vishnuvarthanan Govindaraj, Ziquan Zhu

Mob. Networks Appl., October, 2023

CovC-ReDRNet: A Deep Learning Model for COVID-19 Classification.

Hanruo Zhu, Ziquan Zhu, Shuihua Wang, Yu-Dong Zhang

Mach. Learn. Knowl. Extr., June, 2023

AdaD-FNN for Chest CT-Based COVID-19 Diagnosis.

Xujing Yao, Ziquan Zhu, Cheng Kang, Shui-Hua Wang, Juan Manuel Górriz, Yu-Dong Zhang

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

Deep learning in food category recognition.

Yudong Zhang, Lijia Deng, Hengde Zhu, Wei Wang, Zeyu Ren, Qinghua Zhou, Siyuan Lu, Shiting Sun, Ziquan Zhu, Juan Manuel Górriz, Shuihua Wang

Inf. Fusion, 2023

SNELM: SqueezeNet-Guided ELM for COVID-19 Recognition.

Yudong Zhang, Muhammad Attique Khan, Ziquan Zhu, Shuihua Wang

Comput. Syst. Sci. Eng., 2023

WACPN: A Neural Network for Pneumonia Diagnosis.

Shui-Hua Wang, Muhammad Attique Khan, Ziquan Zhu, Yudong Zhang

Comput. Syst. Sci. Eng., 2023

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

Ziquan Zhu, Jing Tao, Shuihua Wang, Xin Zhang, Yudong Zhang

CoRR, 2023

DLBCNet: A Deep Learning Network for Classifying Blood Cells.

Ziquan Zhu, Zeyu Ren, Siyuan Lu, Shuihua Wang, Yudong Zhang

Big Data Cogn. Comput., 2023

2022

ODET: Optimized Deep ELM-based Transfer Learning for Breast Cancer Explainable Detection.

Ziquan Zhu, Shuihua Wang

EAI Endorsed Trans. Scalable Inf. Syst., 2022

NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network.

Siyuan Lu, Ziquan Zhu, Juan Manuel Górriz, Shui-Hua Wang, Yu-Dong Zhang

Int. J. Intell. Syst., 2022

RDNet: ResNet-18 with Dropout for Blood Cell Classification.

Ziquan Zhu, Zeyu Ren, Shui-Hua Wang, Juan Manuel Górriz, Yudong Zhang

Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022