[1] Yanzhu Chen#, Zhiwang Xu#, Shijie Ren, Zhen-Li Huang, and Zhengxia Wang*. Image stitching algorithm for super-resolution localization microscopy combined with fluorescence noise prior. Biomedical Optics Express. 2024;15(9):5411-28.

[2] 王晨泽#，沈雪豪#，黄振立，王政霞*. 基于定位数据的全景超分辨图像交互可视化框架. 计算机研究与发展.2024,61(7):1741-1753.

[3] Yongdong Wu, Jian Weng*, Zhengxia Wang*, Kaimin Wei, Jinming Wen, Junzuo Lai, Xin Li. Attacks and Countermeasures on Privacy-Preserving Biometric Authentication Schemes. IEEE Transaction On Dependable and Secure Computing. 2023; 20(2):1744-55.

[4] Zhiwei Zhou, Junan Wu, Zhengxia Wang*, Zhengli Huang. Deep learning using a residual deconvolutional network enables real-time high-density single-molecule localization microscopy. Biomedical Optics Express. 2023;14(4):1833-47.

[5] ZhiWei Zhou, Weibing Kuang, Zhengxia Wang*, Zhenli Huang*. ResNet-based image inpainting method for enhancing the imaging speed of single molecule localization microscopy. Optics Express,2022，30（18）：31766-31784

[6] BangruXiong, Lu Lou, Xinyu Meng, Xin Wang, Hui Ma, Zhengxia Wang*. Short-term wind power forecasting based on Attention Mechanism and Deep Learning. Electric Power Systems Research. 2022;206:107776.

[7] Dan Gui, Yunjiu Chen, Weibing Kuang, Mingtao Shang, Zhengxia Wang*, Zhen-Li Huang*. Accelerating multi-emitter localization in super-resolution localization microscopy with FPGA-GPU cooperative computation. Optics Express, 2021, 29(22): 35247-35260.

[8] Yue Du , Chenze Wang , Chen Zhang,  Lingyun Guo, Yanzhu Chen, Meng Yan, Qianghui Feng, Mingtao Shang, Weibing Kuang, Zhengxia Wang*, ZhenLi Huang*, Computational framework for generating large panoramic super-resolution images from localization microscopy. Biomedical Optics Express, 2021, 12.

[9] 孟鑫禹,王睿涵,王政霞*.基于经验模态分解与多分支神经网络的超短期风功率预测. 计算机应用.2021.4(1):237-242.

[10] Weikai Li, Lishan Qiao, Limei Zhang, Zhengxia Wang, Dinggan Shen, Functional Brain Network Estimation with Time Series Self-scrubbing, IEEE Journal of Biomedical and Health Informatics (J-BHI), 2019.23(6):2494-2504.

[11] 李维凯，王政霞*，蒋伟，一种自适应分数阶偏微分方程图像增强模型，计算机工程与科学, 4(2018).

[12] Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent Munsell, Guorong Wu. Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. Medical Image Analysis, 39(2017) 218-230.

[13] Weikai Li, Zhengxia Wang* , Limei Zhang, Lishan Qiao, Dinggang Shen*. Remodeling Pearson’s Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification. Frontiers in Neuroinformatics, (2017)11(55)

[14] Zhengxia Wang, Shenghua Teng, Guodong  Liu, Zengshun Zhao, Hongli Wu. Hierarchical Sparse Representation with Deep Dictionary for Multi-Modal Classification. Neurocomputing. 253(2017)65-69.

[15] Chen Zu, Zhengxia Wang, Daoqiang Wang,Peipeng Liang,Yonghong Shi,Dinggang Shen, Guorong Wu. Robust multi-atlas propagation by deep sparse representation. Pattern Recognition.(2017) 63:511-517

[16] Zhengxia Wang, Xiaofeng Liao, Songtao Guo, Haixia Wu. Mean square exponential stability of stochastic genetic regulatory networks with time-varying delays. Information Sciences, 2011.181:792-811

[17] Zhengxia Wang, Xiaofeng Liao, Songtao Guo. Stability Analysis of Genetic Regulatory Network with Time Delays and Parameter Uncertainties. IET Control Theory & Applications, 2010.4(10):2018-2028

[18] Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen*, Guorong Wu*, Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer (MICCAI), 2016, 291-299.