张长伦

职位:

职称:副教授

邮箱:zclun@bucea.edu.cn

发文时间:2026-06-21 撰稿人:

近三年主要论文

  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.

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.
访问量: 开通时间 :2019-07-25 最后更新时间 :2026-06-21