[1] Fanhai  Qiu, Yangyang Zhang, Zhen-Li Huang, Xiaofeng Zhu, Zhengxia Wang*. PASB: Pathology-Aware Schrodinger Bridge for Virtual immunohistochemical Staining. Medical Image Analysis, 2026 (108):103869 (doi: https://doi.org/10.1016/j.media.2025.103869).(SCI中科院1区TOP期刊)

[2] Fanhai  Qiu, Yangyang Zhang, Zhengxia Wang*. Graph-Semantic Guided Learning for Virtual Immunohistochemistry Staining on Consecutive Histology Sections. AAAI 2026.（CCF A类会议）

[3] Zongqian Wu, Mengmeng Zhang, Ping Hu, Zhengxia Wang*, Xiaofeng Zhu*. Decoupled prompt learning guided by chain-of-task. Information Fusion, 2026 (127):103798.（SCI中科院1区TOP期刊）

[4] Yi Yang, Jia Liu, Wenzhou Zhong, Zhengxia Wang*. Refining Uncertainty Regions via Signal Response and Confidence-aware for Polyp Segmentation. 2025 International Conference on Bioinformatics and Biomedicine (BIBM), 2025. （CCF B类会议）

[5] Yao Liu, Wujie Chen, Zhen-li Huang, and Zhengxia Wang*. Unsupervised cross-modal biomedical image fusion framework with dual-path detail enhancement and global context awareness. Biomedical Optics Express. 2025;16(8):3378-3394. (SCI 中科院小类2区)

[6] Wujie Chen, Caiwei Li, Zhen-li Huang, and Zhengxia Wang*. GJFocuser: a Gaussian difference and joint learning-based autofocus method for whole slide imaging. Biomedical Optics Express. 2025;16(1):282-302. (SCI 中科院小类2区)

[7] Fanhao Qiu, Yangyang Zhang, Xiaoguang Guo, Zhengxia Wang*. Weakly Supervised Virtual Immunohistochemistry Staining via Schrodinger Bridge Method. 2024 International Conference on Bioinformatics and Biomedicine (BIBM), 2024:2369-2375. （CCF B类会议）

[8] Hailong Chen, Yangyang Zhang, Zhengxia Wang*. ACNet: Enhancing Occlusion Awareness and Multi-Scale feature Capture for Cervical Cell Segmentation. 2024 International Conference on Bioinformatics and Biomedicine (BIBM), 2024:1882-1889.（CCF B类会议）

[9] 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. （SCI中科院1区TOP期刊）

[10] 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. (SCI 中科院小类2区)

[11] 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.  (CCF T1 中文核心期刊)

[12]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. (SCI 中科院小类2区)

[13] 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. (SCI中科院3区，高被引141次)

[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. (SCI中科院2区)

[15] 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.(SCI中科院1区TOP期刊)

[16] 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 (SCI中科院1区TOP期刊)

[17] 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 (SCI中科院小类1区TOP期刊)

[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. (CCF B类会议，医学图像处理顶会)