论文

1. 1. 张长伦,田傲翔等. Multi-modal Fusion Rail Surface Defect Detection Based on Expert Decision-making, 2026, Measurement Science and Technology, 37 (2026) 205110,https://doi.org/10.1088/1361-6501/ae6c44.
2. 2. 张长伦,张国粹等. A dual modal alignment method of rail image and axle box acceleration based on variable-scale pattern matching, 2026,Pattern Analysis and Applications (2026) 29:40, https://doi.org/10.1007/s10044-026-01620-3.
3. 3. 张长伦,王玉欣等. 基于自监督对比学习的轴箱加速度异常检测.计算机应用,1-9[2026-04-13].https://link.cnki.net/urlid/51.1307.TP.20260331.1054.010.
4. 4. 李一彤,张长伦等. Boundaries Matters: A Novel Multi-Branch Semi-Supervised Semantic Segmentation Method. IEEE Intelligent Systems, 2025,  https://doi.org/10.1117/1.JRS.19.025501.
5. 5. 李一彤,张长伦等. Adaptive cross-set learning for multi-domain consistency in semi-supervised remote sensing change detection. JOURNAL OF APPLIED REMOTE SENSING,2025,16(2) 2025,  https://doi.org/10.1109/MIS.2024.3491998.
6. 6. 张国粹,张长伦等. An adaptive ensemble learning capacity prediction method with dual-modal data in lithium-ion battery manufacturing. International Journal of Green Energy, 2025, https://doi.org/10.1080/15435075.2025.24535391.
7. 7. 陈丹阳,张长伦等. 多尺度去相关的图卷积网络.计算机应用,2025,45(7):2180-2187. 
8. 8. 张国粹,张长伦等. A coarse-to-fine ensemble method for capacity prediction of lithium-ion batteries in production. International Journal of Green Energy, 2024, https://doi.org/10.1080/15435075.2024.2386070.
9. 9. 陈爽,张长伦等. RSGNN:residual structure graph neural network. International Journal of Machine Learning and Cybernetics, 2024,15, https://doi.org/10.1007/s13042-024-02136-0.
10. 10. 陈爽,张长伦等. An Adaptive Learning Rate Deep Learning Optimizer Using Long and Short-Term Gradients Based on G–L Fractional-Order Derivative. Neural Processing Letters, 2024(56):106, https://doi.org/10.1007/s11063-024-11571-7.
11. 11. 邓露露, 张长伦等. Irregular adaptive refinement network for semantic segmentation of high-resolution remote sensing images,Journal of Intelligent & Fuzzy Systems,2024,46(5-6):8595-8612, https://doi.org/10.3233/JIFS-232958.
12. 12. 王皓辰, 张长伦等. PU-FPG：Point Cloud Upsampling via Form Preserving Graph Convolutional Networks ,Journal of Intelligent & Fuzzy Systems,2023,45(5):8595-8612, https://doi.org/10.3233/JIFS-232490.
13. 13. 谷帆,张长伦等. 提取桥梁点云的组合滤波算法.激光与光电子学进展,2023,60(2):189-195. 
14. 14. 谷帆,张长伦等. PU-WGCN: Point Cloud Upsampling Using Weighted Graph Convolutional Networks,Remote Sensing,2022,14(21),5356. 
15. 15.  杨倩会, 张长伦等. V-FPN: Small Object Feature Enhancement and Variance-Guided RoI Fusion for Feature Pyramid Networks, Electronics, 2022,11(13), https://doi.org/10.3390/electronics11132028.
16. 16. 张翠文,张长伦等. 目标检测中框回归损失函数的研究, 计算机工程与应用, 2021,57(20): 97-103.
17. 17. 史晨晨, 张长伦等. 基于改进特征金字塔的目标检测, 电子测量技术,2021,44(20): 150-156 .
18. 18. 张长伦,张翠文等, 基于注意力机制的NMS在目标检测中的研究, 电子测量技术, 2021, 44(19). 
19. 19. 张长伦,孙秀秀等, 基于数据增强和支持向量机的高铁钢轨波磨检测,计算机应用,2021,38,66-69.

发明专利

1. 1. 一种陆地桥梁提取方法和系统，2025年，ZL202111299758.6.
2. 2. 基于目标检测的车辆加塞行为识别方法、系统及装置,2023年,ZL202111042394.3.

软件著作权

1. 1. 锂电池充电容量预测系统,2024年,2024SR1150051.
2. 2. 桥梁点云提取系统,2022年,2022SR0546912.
3. 3. 地下综合管廊智慧管理系统,2022年,2022SR0951780.
4. 4. 机器学习教学辅助系统,2021年,2021SR1451808.
5. 5. 物业暖通设备健康状态管理系统,2021年,2021SR1451807.