学历:
电子科技大学理学学士,电子信息科学与技术专业 (2011-2015)
电子科技大学理学博士,无线电物理专业 (2015-2019)
研究方向:
复杂目标电磁散射与逆散射;
基于机器学习—生物电磁学的超分辨率成像及应用;
基于机器学习的器件、天线与阵列的智能建:蜕杓疲
基于机器学习的集成电路计算光刻方法。
主讲课程:
学术兼职:
IEEE member
成果奖励:
“博士后创新人才支持计划优秀创新成果”(2020)
中国电子教育学会2020年度优秀博士学位论文提名奖(2020)
课题项目:
基于机器学习—电磁逆散射的三维高分辨率全脑成像研究,国家自然科学基金青年科学基金,2021.01-2023.12,主持
基于图像重建的电磁逆散射成像研究,中国博士后科学基金“博士后创新人才支持计划”,2019.07-2021.07,主持
代表作:(*通讯)
L. Y. Xiao, W. Shao*, F. L. Jin, B. Z. Wang, Q. H. Liu, “Radial basis function neural network with hidden node interconnection scheme for thinned array modeling”, IEEE Antennas and Wireless Propagation Letters, Early access, Nov. 2020.
L. Y. Xiao, J. Li, X. Ding, F. Han*, W. Shao, Q. H. Liu*, “Dual-module NMM-IEM machining learning for fast electromagnetic inversion of inhomogeneous scatterers with high contrasts and large electrical dimensions”, IEEE Transactions on Antennas and Propagation, vol. 68, no. 8, pp. 6245-6255, Aug. 2020.
L. Y. Xiao, W. Shao*, F. L. Jin, B. Z. Wang,W. Joines, Q. H. Liu, “Semi-supervised radial basis function neural network with an effective sampling strategy”, IEEE Transactions on Microwave Theory and Techniques, vol. 68, no. 4, pp. 1260-1269, Apr. 2020, DOI: 10.1109/TMTT.2019.2955689
L. Y. Xiao, W. Shao*, X. Ding, B. Z. Wang, “Dynamic adjustment kernel extreme learning machine for microwave component design”, IEEE Transactions on Microwave Theory and Techniques, vol. 66, no. 10, pp. 4452-4461, Oct. 2018. DOI: 10.1109/TMTT.2018.2858787
L. Y. Xiao, W. Shao*, F. L. Jin, B. Z. Wang, “Multi-Parameter modeling with ANN for description of antenna performance”, IEEE Transactions on Antennas and Propagation, vol. 66, no. 7, pp. 3718-3723, Jul. 2018. DOI: 10.1109/TAP.2018.2823775