分别于2010年和2013年获得江苏科技大学电子信息工程专业工学学士学位和信号与信息处理专业工学硕士学位；2015年10月至2017年10月于加拿大滑铁卢大学系统设计工程系从事生物医学影像处理相关科研工作；2018年获得南京理工大学信息与通信工程专业工学博士学位，同年就职于南京邮电大学。以第一作者身份在国际期刊和国际会议发表SCI/EI学术论文十余篇。主持江苏省自然科学青年项目1项、江苏省高校面上项目1项，参与加拿大安大略省卓越研究项目、国家自然科学基金项目、总装备部预研项目等国家与省部级项目。
个人主要学术成果：
[1] Zhu S, Wei L, Li Y, et al. MAHFNet: A Multi-Attention hierarchical fusion network for ultrasound image segmentation[J]. Biomedical Signal Processing and Control, 2026, 115: 109421.
[2] Zhu S, Li Y, Lu L, et al. MLAANet: A multi-level attention-aware network for pathological nuclei segmentation[J]. Biomedical Signal Processing and Control, 2026, 112: 108716.
[3] Zhu S, Li Y, Dai X, et al. A multi-resolution hybrid CNN-Transformer network with scale-guided attention for medical image segmentation[J]. IEEE Journal of Biomedical and Health Informatics, 2025.
[4] Zhu S, Li Y, Yan Y, et al. DCCUNet: A double cross-shaped network for pathology image segmentation[J]. Computers and Electrical Engineering, 2025, 128: 110744.
[5] Zhu S, Yan Y, Wei L, et al. SECA-Net: Squeezed-and-excitated contextual attention network for medical image segmentation[J]. Biomedical Signal Processing and Control, 2024, 97: 106704.
[6] Yan Y#; Zhu S#; Ma S; et al.; CycleADC-Net: A crack segmentation method based on multi-scale feature fusion, Measurement. 2022, 204: 112107.
[7] Wu H, Chen H, Wang X, Yu L, Yu Z, Shi Z, Xu J*, Dong B*, Zhu S*. Development and validation of an artificial intelligence-based image classification method for pathological diagnosis in patients with extramammary Paget's diseases. Frontiers in Oncology. 2022, 11:1-12.
[8] Zhu S, Yu Z. Self-guided filter for image denoising. IET Image Processing. 2020, 14(11): 2561-2566.
[9] Yu Z, Li X, Sun H,…, Zhu S*, Xie Z*. Rapid identification of COVID-19 severity in CT scans through classification of deep features. Biomedical Engineering Online. 2020, 19(1): 1-13.
[10] Zhu S, Li Y*. Single image super-resolution under multi-frame method. Signal, Image and Video Processing. 2019, 13(2): 331-339.
[11] Zhu S, Li Y, Kalra S, Tizhoosh H R*. Multiple disjoint dictionaries for representation of histopathology images. Journal of Visual Communication and Image Representation. 2018, 55: 243-252.
[12] Babaie M, Kalra S, Sriram A, Mitcheltree C, Zhu S, Khatami A, Rahnamayan S, Tizhoosh H R*. Classification and retrieval of digital pathology scans: A new dataset. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2017: 8-16.
[13] Zhu S, Tizhoosh H R*. Radon features and barcodes for medical image retrieval via svm. IEEE International Joint Conference on Neural Networks (IJCNN). 2016: 5065-5071.
[14] Tizhoosh H R*, Mitcheltree C, Zhu S, Shamak D. Barcodes for medical image retrieval using autoencoded radon transform. IEEE International Conference on Pattern Recognition (ICPR). 2016: 3150-3155.
