
计算机视觉和机器学习、多媒体信号处理和传输
巢建树,博士,IEEE高级会员,2020年8月加入中国科学院福建物质结构研究所泉州装备制造研究中心并担任课题组长,重点开展计算机视觉和机器学习等方向的研究与应用。长期从事人工智能和数据处理方向的研究和产业化工作,曾任职于华为,有着丰富的产业实践与科研经验。近年来,在相关领域发表30余篇创新论文,获授权发明专利20余件,多项专利已实现成果转化。兼任工信部产业技术基础公共服务平台主任、福建省数字化装备与柔性制造创新中心副主任。入选福建省高层次人才B类、福建省创业人才、泉州市高层次人才等。
1.D. An, J. Chao*, T. Li, L. Fang, WaveGNet: Wavelet-Guided Deep Learning for Efficient Aerial Power Line Detection, IEEE Sensors Journal, 2023, 24(14), 22037-22044.
2.T. Li, J. Chao*, D. An, Style Adaptation for Domain-Adaptive Semantic Segmentation, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, 2815-2819.
3.B. Lin, J. Chen, B. Xu, J. Chao*, et al., Indoor NLOS-VLP System Based on Image Sensor and Pixel Coordinate Fingerprinting, IEEE Internet of Things Journal, 2025, 12(12), 20251-20260.
4.X. Su, Z. Zheng, J. Chao*, D. Ye, Z. Luo, ChebSpec-Net: Linear Spectral Graph Restoration for UHD Images, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2025, 16279, 121-135. (Best Paper Honorable Mention Award)
5.R. Liu, J. Chao*, J. Lai, Q. Guo, K. Sun, Z. Zhang, MSMamba: Enhancing Medical Image Segmentation with a Multi-scanning Mamba Hybrid Network, The Visual Computer, 2026, 42(1), 5.