Ziquan Zhu

23 papers A* 1B 1Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
BccT: an efficient transformer model for blood cell classification.
Multim. Syst.
Hanruo Zhu, Ziquan Zhu, Si-Yuan Lu
2026 J jnl
Confusion-Aware Spectral Regularizer for Long-Tailed Recognition.
CoRR
Ziquan Zhu, Gaojie Jin, Hanruo Zhu, Si-Yuan Lu, Yunxiao Zhang, Zeyu Fu, Ronghui Mu, Guoqiang Zhang, Zhao Sun, Xia Yuhang, Jiaxing Shang, Xiang Li, Lu Liu, Tianjin Huang
2026 J jnl
Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis.
CoRR
Ziquan Zhu, Hanruo Zhu, Siyuan Lu, Xiang Li, Yanda Meng, Gaojie Jin, Lu Yin, Lijie Hu, Di Wang, Lu Liu, Tianjin Huang
2026 J jnl
Multi-stage attention for efficient brain tumor classification with SAM-Med2D.
Multim. Syst.
Hanruo Zhu, Ziquan Zhu, Si-Yuan Lu
2025 J jnl
CTBViT: A novel ViT for tuberculosis classification with efficient block and randomized classifier.
Biomed. Signal Process. Control.
Si-Yuan Lu, Ziquan Zhu, Yao Tang, Xin Zhang, Xingxiang Liu
2025 — conf
LKA: Large Kernel Adapter for Enhanced Medical Image Classification.
MICCAI (6)
Ziquan Zhu, Si-Yuan Lu, Tianjin Huang, Lu Liu, Zhe Liu
2025 A* conf
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training.
ICLR
Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu
2025 J jnl
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training.
CoRR
Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu
2025 J jnl
Tuberculosis and pneumonia diagnosis in chest X-rays by large adaptive filter and aligning normalized network with report-guided multi-level alignment.
Eng. Appl. Artif. Intell.
Si-Yuan Lu, Ziquan Zhu, Yu-Dong Zhang, Yu-Dong Yao
2024 J jnl
OPT-CO: Optimizing pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks.
Inf. Sci.
Ziquan Zhu, Lu Liu, Robert C. Free, Ashiq Anjum, John Panneerselvam
2024 B conf
Rethinking Personalized Federated Learning from Knowledge Perspective.
ICPP
Dezhong Yao, Ziquan Zhu, Tongtong Liu, Zhiqiang Xu, Hai Jin
2023 J jnl
AdaD-FNN for Chest CT-Based COVID-19 Diagnosis.
IEEE Trans. Emerg. Top. Comput. Intell.
Xujing Yao, Ziquan Zhu, Cheng Kang, Shui-Hua Wang, Juan Manuel Górriz, Yu-Dong Zhang
2023 J jnl
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
Inf. Fusion
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, Victoria 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, José Manuel Ferrández-Vicente
2023 J jnl
CovC-ReDRNet: A Deep Learning Model for COVID-19 Classification.
Mach. Learn. Knowl. Extr.
Hanruo Zhu, Ziquan Zhu, Shuihua Wang, Yu-Dong Zhang
2023 J jnl
DLBCNet: A Deep Learning Network for Classifying Blood Cells.
Big Data Cogn. Comput.
Ziquan Zhu, Zeyu Ren, Siyuan Lu, Shuihua Wang, Yudong Zhang
2023 J jnl
Deep learning in food category recognition.
Inf. Fusion
Yudong Zhang, Lijia Deng, Hengde Zhu, Wei Wang, Zeyu Ren, Qinghua Zhou, Siyuan Lu, Shiting Sun, Ziquan Zhu, Juan Manuel Górriz, Shuihua Wang
2023 J jnl
FECNet: a Neural Network and a Mobile App for COVID-19 Recognition.
Mob. Networks Appl.
Yudong Zhang, Vishnuvarthanan Govindaraj, Ziquan Zhu
2023 J jnl
SNELM: SqueezeNet-Guided ELM for COVID-19 Recognition.
Comput. Syst. Sci. Eng.
Yudong Zhang, Muhammad Attique Khan, Ziquan Zhu, Shuihua Wang
2023 J jnl
TBDLNet: a network for classifying multidrug-resistant and drug-sensitive tuberculosis.
CoRR
Ziquan Zhu, Jing Tao, Shuihua Wang, Xin Zhang, Yudong Zhang
2023 J jnl
WACPN: A Neural Network for Pneumonia Diagnosis.
Comput. Syst. Sci. Eng.
Shui-Hua Wang, Muhammad Attique Khan, Ziquan Zhu, Yudong Zhang
2022 J jnl
NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network.
Int. J. Intell. Syst.
Siyuan Lu, Ziquan Zhu, Juan Manuel Górriz, Shui-Hua Wang, Yu-Dong Zhang
2022 J jnl
ODET: Optimized Deep ELM-based Transfer Learning for Breast Cancer Explainable Detection.
EAI Endorsed Trans. Scalable Inf. Syst.
Ziquan Zhu, Shuihua Wang
2022 — conf
RDNet: ResNet-18 with Dropout for Blood Cell Classification.
IWINAC (1)
Ziquan Zhu, Zeyu Ren, Shui-Hua Wang, Juan Manuel Górriz, Yudong Zhang