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ORCIDZiquan Zhu
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Journal Articles
- 2025
[j11]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
- [j10]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) - 2023
- [j9]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) - [j8]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) - [j7]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) - [j6]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) - [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) - 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)
Conference and Workshop Papers
- 2024
- [c2]Dezhong Yao, Ziquan Zhu, Tongtong Liu, Zhiqiang Xu, Hai Jin:
Rethinking Personalized Federated Learning from Knowledge Perspective. ICPP 2024: 991-1000 - 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
Informal and Other Publications
- 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)
Coauthor Index
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