一、基本信息：

姓名：邢雅轩

性别：女

出生年月：1996年5月

民族：汉族

政治面貌：中共党员

籍贯：内蒙古巴彦淖尔盟

职称：讲师

邮箱：xingyaxuanimu@163.com

地址：太阳集团tyc9728南校区创业楼205

二、教育背景

2022.09至2026.06，复旦大学，信息与通信工程，工学博士

2019.09至2022.06，太阳集团tyc9728，信息与通信工程，工学硕士

2015.09至2019.06，江苏大学，电子信息科学与技术，工学学士

三、授课情况

模拟电子技术基础

四、研究方向

SAR信息处理，参数反演，多源遥感智能感知，生态监测，物理引导人工智能

五、科研成果

[1]Xing Y., Lin H., Wang F., Xue F., Xu F. SAR2Canopy: A Framework Integrating Scattering Model With Neural Networks for Canopy Height Estimation From Airborne P-Band SAR Data[J]. IEEE Transactions on Geoscience and Remote Sensing,2025, 63:1–16. (TGRS一区Top)

[2]Zhang Y.,Xing Y., Liu Y., Zhang T. Distillation knowledge-based space-time data prediction on industrial IoT edge devices[J]. Ad Hoc Networks, 2022, 137:102984.（导师一作）

[3]Zhang Y., An H.,Xing Y., Liu Y., Zhang T. Learning Temporal and Spatial Features Jointly:A Unified Framework for Space-Time Data Prediction in Industrial IoT Networks [J]. IEEE Sensors Journal,2023,23(16):18752–18764.

[4]Xing Y., Yang H., Sun Y., Jiang W., Wang F., Xu F. Multi-Band SAR and Li DAR-Aided Forest Height Estimation with Regional Adaptability Validation[C].In:PIERS 2025,2025.

[5]Xing Y., Lin H., Xue F., Wang F., Xu F. A Forest Parameter Inversion Method based on Double-Bounce Scattering Components of Polarimetric P-Band SAR Data[C]. In:IGARSS 2024—2024 IEEE International Geoscience and Remote Sensing Symposium,2024.

[6]Xing Y., Lin H., Zhu J., Wang F., Xu F., Jiang W. Multisource Data Integration of Sentinel-1 and Sentinel-2 for Above Ground Biomass Inversion[C]. In:2024 IEEE International Conference on Signal,Information and Data Processing (ICSIDP), 2024.

[7]Xing Y., Wang F., Xu F. Above Ground Biomass Estimation By Multi-Source Data Based On Interpretable DNN Model [C]. In: IGARSS 2023—2023 IEEE International Geoscience and Remote Sensing Symposium, 2023.

[8]张颖慧，邢雅轩等。工业物联网边缘设备上基于联邦学习的空时预测方法，ZL202111654558.8,2025.

[9]张颖慧，邢雅轩等。工业物联网边缘设备中基于知识蒸馏的空时预测方法，ZL202111270656.1,2024.