电话：15880861806通讯地址：福州大学物理与信息工程学院、北楼513 邮 编：350116 Email： lijun.wu@fzu.edu.cn

• 2014/01－至今，福州大学，物理与信息工程学院，副教授• 2013/2－2013/10，香港理工大学，研究助理• 2009/11－2013/6，意大利帕维亚大学，工程学院，博士• 2006/09－2009/06，厦门大学，信息科学与技术学院，硕士• 2001/09－2005/06，厦门大学，物理与机电工程学院，本科

SCI期刊SCHM的顾问委员，Frontiers in Built Environment期刊评审编辑

计算机视觉，故障诊断与定位，光纤通信

1. “面向高并发低延迟场景的无源光网络 MAC核心芯片FPGA实现与智能调度算法研发” ,福建省科技厅引导性项目，主持。
2. “无源光网络核心器件的媒体介质网络芯片FPGA 化”，横向项目，主持。
3. “基于机器视觉的智能移动单兵应急指挥通信系统研制(No. 2019H0006)”,福建省科技厅引导性项目，主持。
4. “基于机器视觉的索缆六自由度位移测量方案研究”，国家自然科学基金, (51508105)，主持。
5. “基于双目视觉的高精度索缆六维位移传感器的研究”，福建省自然科学基金，(2015J05124)，主持。
6. “基于机器视觉的输电线四维位移监测技术的研究”，教育部留学归国人员科研启动经费，主持。
7. “基于机器视觉的三维高精度桥索位移传感器”，福州大学校人才基金，主持。

1. Wu, L., Chen, L., Chen, Z., Cheng, S., & Chen, Z. (2024). CDS_PosSR: cross domain supervised unpaired image super-resolution for position sensitive downstream tasks. IEEE Transactions on Instrumentation and Measurement, 73, 5039009.
2. Wu, L., Lin, X., Chen, Z., Huang, J., Liu, H., & Yang, Y. (2021). An efficient binary convolutional neural network with numerous skip connections for fog computing. IEEE Internet of Things Journal, 8(14), 11357-11367.
3. Wu, L., Wang, Y., Lin, X., Chen, Z., Zheng, Q., Cheng, S., & Lin, P. (2022). Deep learning-based super-resolution with feature coordinators preservation for vision-based measurement. Structural Control and Health Monitoring, 29(12), e3107.
4. Wu, L., Lin, X., Chen, Z., Lin, P., & Cheng, S. (2021). Surface crack detection based on image stitching and transfer learning with pretrained convolutional neural network. Structural Control and Health Monitoring, 28(8), e2766.
5. Wu, L., Su, Y., Chen, Z., Chen, S., Cheng, S., & Lin, P. (2019). Six-degree-of-freedom generalized displacements measurement based on binocular vision. Structural Control and Health Monitoring, 27, e2458.
6. Wu, L., Chen, Z., Long, C., Cheng, S., Lin, P., Chen, Y., & Chen, H. (2018). Parameter extraction of photovoltaic models from measured I-V characteristics curves using a hybrid trust-region reflective algorithm. Applied Energy, 232, (pp. 36-53).
7. Wu, L., Casciati, F., Casciati, S., Chen, Z., & Bortoluzzi, D. (2014). Dynamic testing of a laboratory model via vision-based sensing. Engineering Structures, 60, (pp. 113-125).
8. Wu, L., Jiang, P., Chen, Z., Lin, X., Lai, Y., Lin, P., & Cheng, S. (2019). BitFlow-Net: toward fully binarized convolutional neural networks. IEEE Access, 7, 154617-154626.
9. Chen, Z., Chen, Y., Wu, L.^*, Cheng, S.^*, & Lin, P. (2019). Deep residual network based fault detection and diagnosis of photovoltaic arrays using current-voltage curves and ambient conditions. Energy Conversion and Management, 198, 111793. (ESI高被引)
10. Chen, Z., Wu, L.^*, Cheng, S.^*, Lin, P., Wu, Y., & Lin, W. (2017). Intelligent fault diagnosis of photovoltaic arrays based on optimized kernel extreme learning machine and IV characteristics. Applied energy, 204, 912-931. (ESI高被引)
11. Chen, Z., Zheng, H., Wu, L.^*, Huang, J.*, & Yang, Y. (2025). Deep transfer learning based intelligent gunshot detection and firearm recognition using tri-axial acceleration. IEEE Internet of Things Journal, 12(5), 5891-5900.
12. Chen, Z., Yu, H., Luo, L., Wu, L.^*, Zheng, Q., Wu, Z., ... & Lin, P. (2021). Rapid and accurate modeling of PV modules based on extreme learning machine and large datasets of IV curves. Applied Energy, 292, 116929.
13. Chen, Z., Chen, Y., Wu, L.^*, Cheng, S., Lin, P., & You, L. (2019). Accurate modeling of photovoltaic modules using a 1-D deep residual network based on I-V characteristics. Energy Conversion and Management, 186, (pp. 168-187).
14. Chen, Z., Han, F., Wu, L.^*, Yu, J., Cheng, S.*, Lin, P., & Chen, H. (2018). Random forest based intelligent fault diagnosis for PV arrays using array voltage and string currents. Energy conversion and management, 178, 250-264.
15. Chen, Z., Wu, L.^*, Lin, P., Wu, Y., & Cheng, S. (2016). Parameters identification of photovoltaic models using hybrid adaptive Nelder-Mead simplex algorithm based on eagle strategy. Applied Energy, 182, 47-57.
16. Chen, Z., Zheng, H., Huang, J.^*, Wu, L.^*, Cheng, S., Zhou, Q., & Yang, Y. (2023). A wireless gunshot recognition system based on tri-axis accelerometer and lightweight deep learning. IEEE Internet of Things Journal, 10(19), 17450-17464.
17. Chen, Z., Li, Q., Wu, L.^*, Cheng, S., & Lin, P. (2019). Optimal data collection of multi-radio multi-channel multi-power wireless sensor networks for structural monitoring applications: A simulation study. Structural Control and Health Monitoring, 26(4), e2328.
18. Wu, L., Li, S., Chen, Z.*(2025). Dilated-convolutional feature modulation network for efficient image super-resolution. Journal of Real-Time Image Processing.
19. Wu, L., Qiu, S., & Chen, Z. (2024). Real-time semantic segmentation network based on parallel atrous convolution for short-term dense concatenate and attention feature fusion. Journal of Real-Time Image Processing, 21(3), 74.
20. Wu, L., Ma, Y., & Chen, Z. (2024). Dense video super-resolution time-differential network with feature enrichment module. Signal, Image and Video Processing, 18(11), (pp. 7887-7897).
21. Wu, L., Cai, Z., Lin, C., Chen, Z., Cheng, S., Lin, P. J. S. S., & Journal, S. A. I. (2022). Investigation of the super-resolution methods for vision based structural measurement. Smart Structures and Systems, 30(3), 15.
22. Wu, L., Cao, Z., & Chen, Z. (2023). Teacher-student cross-domain object detection model combining style transfer and adversarial learning. The In Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Singapore, (pp. 334-345).
23. Zhang, Y., Wu, L.*, Chen, Z., Cheng, S., & Lin, P. (2018). One-dimensional camera calibration based on PSO algorithm. The In Multi-disciplinary Trends in Artificial Intelligence: 12th International Conference (MIWAI), Cham.
24. Chen, D., Wu, L.^*, Chen, Z., & Lin, X. (2023). CTHPose: An efficient and effective cnn-transformer hybrid network for human pose estimation. The In Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Singapore, (pp. 327-339).
25. Ni, Y. Q., Lin, K. C., Wu, L. J., & Wang, Y. W. (2017). Visualized spatiotemporal data management system for lifecycle health monitoring of large-scale structures. Journal of Aerospace Engineering, 30(2), B4016007.

[1]光伏电站智能运维关键技术研发及产业化，2022年度福建省科技进步奖，一等奖。[2]“竞研互促”提升电子信息类硕士研究生创新实践能力，2018年度福建省教学成果奖，二等奖。[3]2025年指导学生参加全国大学生统计建模大赛，获全国二等奖，省一等奖。[4]2024年获福州大学物理与信息工程学院优秀班主任。[5]第十二届“华为杯”中国研究生电子设计大赛华东赛区“优秀指导老师”奖，指导学生获得华为杯中国研究生电子设计竞赛，全国二等奖，华东赛区一等奖。[6]第十三届iCAN国际创新创业大赛中国总决赛一等奖、江西福建赛区选拔赛一等奖（指导教师）[7]2017～2018 学年福州大学创新与创业活动优秀指导老师。[8]2018年 福州大学物理与信息工程学院“我心目中的好老师”。[9]2015年获福州大学物理与信息工程学院“最佳一节课青年教师比赛”学院二等奖

集成电路工程硕导、电子与通信工程硕导，研究方向：计算机视觉，人工智能、智能故障检测与诊断，智能调度算法。