副教授，工学博士，江苏省科技副总，华为开发者布道师，IEEE Member，CCF专业会员，曾留学美国常青藤宾夕法尼亚大学，后加入南京邮电大学自动化学院、人工智能学院，2020年进入电子科学与技术博士后流动站从事博士后研究工作。作为项目负责人近五年承担完成国家、省、市科技项目5项，作为课题负责人现主持省科技项目1项、作为主要参与者曾参与美国NIH资助项目、国自基金重点项目等多项。在IEEE Trans. Image Process.、IEEE Trans. Geosci. Remote Sens.、IEEE J. Biomed. Health Inform.、自动化学报、软件学报等领域国内外顶级期刊，以及IEEE ICME、IEEE ICIP、IEEE IGARSS等国际会议上发表论文近20余篇，同时担任 IEEE Trans. Image Process.，IEEE J. Biomed. Health Inform. 等期刊审稿人。2020年获评江苏省计算机学会优秀博士学位论文，2022、2023连续两年获评软件学报高影响力论文。

目前主要研究方向为深度学习、生物医学图像计算、遥感智能解译、华为昇腾AI研发。
欢迎编程和数学基础扎实、勤奋自律的同学报考。

1. Jie Song, Yue Sun, Ziyun Cai, Liang Xiao, Yawen Huang, Yefeng Zheng. DUSA-UNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction, IEEE Transactions on Geoscience and Remote Sensing, 2025, 63: Art. no. 5624514.（中科院一区Top，CCF B）
2. Yue Sun, Jie Song (通信作者), Ziyun Cai, Ying Wang, Liang Xiao, Yawen Huang，Multi-Scale Tubularity-Aware U-Net, IEEE International Conference on Multimedia & Expo (IEEE ICME), 2025. Oral. (CCF B)
3. Mengfei Song, Jie Song, Liang Xiao. Supervised Hyperspectral Image Classification via Sparse Separable Convolutional Feature Learning, IEEE International Geoscience and Remote Sensing Symposium (IEEE IGARSS), 2019: 2710-2713.
4. Jie Song, Zhichao Lian, Liang Xiao. Deep Open-Curve Snake for Discriminative 3D Neuron Tracking, IEEE Journal of Biomedical and Health Informatics, 2023, 27(12): 5815-5826.（中科院一区Top，CCF C）
5. Jie Song, Ziyun Cai, Yurong Song, Guoping Jiang, Zhichao Lian, Liang Xiao. Learnable Snake R-CNN for Instance-Level Biomedical Image Segmentation, IEEE International Conference on Image Processing (IEEE ICIP), 2023: 2920-2924. Oral. (CCF C)
6. Jie Song, Liang Xiao, Mohsen Molaei, Zhichao Lian. Sparse Coding Driven Deep Decision Tree Ensembles for Nucleus Segmentation in Digital Pathology Images, IEEE Transactions on Image Processing, 2021, 30: 8088-8101.（中科院一区Top，CCF A）
7. 宋杰, 肖亮, 练智超. 级联稀疏卷积与决策树集成的病理图像细胞核分割方法. 自动化学报, 2021, 47(2): 378-390.（CCF A）
8. 宋杰, 肖亮, 练智超, 蔡子贇, 蒋国平. 基于深度学习的数字病理图像分割综述与展望. 软件学报, 2021,32(5):1427-1460.（CCF A）
9. Jie Song, Liang Xiao, Mohsen Molaei, Zhichao Lian. Multi-Layer Boosting Sparse Convolutional Model for Generalized Nuclear Segmentation from Histopathology Images, Knowledge-Based Systems, 2019, 176: 40-53.（中科院一区Top，CCF C）
10. Jie Song, Jayaram K. Udupa, et al. Architectural analysis on dynamic MRI to study thoracic insufficiency syndrome, SPIE Medical Imaging Conference, 2018, 10576: 105762C-1-105762C-6.
11. Jie Song, Liang Xiao, Zhichao Lian. Contour-Seed Pairs Learning-Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images, IEEE Transactions on Image Processing, 2018, 27(12): 5759-5774.（中科院一区Top，CCF A）
12. Jie Song, Liang Xiao, Zhichao Lian. Boundary-to-Marker Evidence Controlled Segmentation and MDL-Based Contour Inference for Over-lapping Nuclei, IEEE Journal of Biomedical and Health Informatics, 2017, 21(2): 451-464.（中科院一区Top，CCF C）
13. Amir Vatani, Jie Song, Liang Xiao. Segmentation of 3D Neuronal Morphologies in Microscopy Images Utilizing Flexible Open-Curve Snakes, Neurocomputing, 2025, 632:129742.（CCF C）
14. Amir Vatani, Jie Song, Liang Xiao. A Boundary Evidence Controlled Level Set Inference Method for Nuclei Instance Segmentation in Histopathology Images, Multimedia Tools and Applications, 2024, doi: 10.1007/s11042-024-20515-1.（CCF C）
15. Ziyun Cai, Jie Song, Tengfei Zhang, Changhui Hu, Xiao-Yuan Jing. Local Weight Coupled Network: Multi-Modal Unequal Semi-Supervised Domain Adaptation, Multimedia Tools and Applications, 2023, 83: 4331–4357.（CCF C）
16. Ziyun Cai, Jie Song, Tengfei Zhang, Xiao-Yuan Jing, Ling Shao. Dual Contrastive Universal Adaptation Network, IEEE International Conference on Multimedia and Expo (IEEE ICME), 2021: 1-6.（CCF B）
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17. 宋杰, 朱松豪, 吴丹萍, 肖亮. 基于昇腾AI生态的深度学习教学新模式, 计算机教育, 2023, 9: 139-148. (SCD, CCF C)