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ORCIDZiquan Zhu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j12]Si-Yuan Lu, Ziquan Zhu
, Yao Tang, Xin Zhang, Xingxiang Liu:
CTBViT: A novel ViT for tuberculosis classification with efficient block and randomized classifier. Biomed. Signal Process. Control. 100: 106981 (2025)- 2024
- [j11]Ziquan Zhu, Lu Liu, Robert C. Free, Ashiq Anjum, John Panneerselvam:
OPT-CO: Optimizing pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks. Inf. Sci. 680: 121141 (2024) - [c2]Dezhong Yao, Ziquan Zhu, Tongtong Liu, Zhiqiang Xu, Hai Jin:
Rethinking Personalized Federated Learning from Knowledge Perspective. ICPP 2024: 991-1000 - 2023
- [j10]Ziquan Zhu, Zeyu Ren, Siyuan Lu, Shuihua Wang, Yudong Zhang:
DLBCNet: A Deep Learning Network for Classifying Blood Cells. Big Data Cogn. Comput. 7(2): 75 (2023) - [j9]Shui-Hua Wang, Muhammad Attique Khan, Ziquan Zhu, Yudong Zhang:
WACPN: A Neural Network for Pneumonia Diagnosis. Comput. Syst. Sci. Eng. 45(1): 21-34 (2023) - [j8]Yudong Zhang, Muhammad Attique Khan, Ziquan Zhu, Shuihua Wang:
SNELM: SqueezeNet-Guided ELM for COVID-19 Recognition. Comput. Syst. Sci. Eng. 46(1): 13-26 (2023) - [j7]Yudong Zhang, Lijia Deng, Hengde Zhu, Wei Wang, Zeyu Ren, Qinghua Zhou, Siyuan Lu, Shiting Sun, Ziquan Zhu, Juan Manuel Górriz, Shuihua Wang:
Deep learning in food category recognition. Inf. Fusion 98: 101859 (2023) - [j6]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:
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100: 101945 (2023) - [j5]Hanruo Zhu, Ziquan Zhu, Shuihua Wang, Yu-Dong Zhang:
CovC-ReDRNet: A Deep Learning Model for COVID-19 Classification. Mach. Learn. Knowl. Extr. 5(3): 684-712 (2023) - [j4]Yudong Zhang, Vishnuvarthanan Govindaraj, Ziquan Zhu:
FECNet: a Neural Network and a Mobile App for COVID-19 Recognition. Mob. Networks Appl. 28(5): 1877-1890 (2023) - [j3]Xujing Yao, Ziquan Zhu, Cheng Kang, Shui-Hua Wang, Juan Manuel Górriz, Yu-Dong Zhang:
AdaD-FNN for Chest CT-Based COVID-19 Diagnosis. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 5-14 (2023) - [i1]Ziquan Zhu, Jing Tao, Shuihua Wang, Xin Zhang, Yudong Zhang:
TBDLNet: a network for classifying multidrug-resistant and drug-sensitive tuberculosis. CoRR abs/2310.18222 (2023) - 2022
- [j2]Siyuan Lu, Ziquan Zhu, Juan Manuel Górriz, Shui-Hua Wang, Yu-Dong Zhang:
NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network. Int. J. Intell. Syst. 37(2): 1572-1598 (2022) - [j1]Ziquan Zhu, Shuihua Wang:
ODET: Optimized Deep ELM-based Transfer Learning for Breast Cancer Explainable Detection. EAI Endorsed Trans. Scalable Inf. Syst. 10(2): e4 (2022) - [c1]Ziquan Zhu, Zeyu Ren, Shui-Hua Wang, Juan Manuel Górriz, Yudong Zhang:
RDNet: ResNet-18 with Dropout for Blood Cell Classification. IWINAC (1) 2022: 136-144
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