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肖理业
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副教授
博士生导师
硕士生导师
- 电子邮箱：96c6740409a1b4227509a02c9e289d09b5679aa06cde50467d813ff5b7716b1560b7f5d69d9601e2b94356ae9996ef1c9200846b0c12e754a030c3965c2090bfc05551824d8e5a953ff29dc75afa0c602e2975b12145796420ad32c52d9356ff85c23062d271f6b1c17d738ab89a803cd66d4d02c5c79e65250898b5faf5e6ac
- 所在单位：电子科学与技术学院（国家示范性微电子学院）
- 学历：博士研究生毕业
- 办公地点：厦门大学翔安校区文宣楼
- 联系方式：liyexiao16@xmu.edu.cn
- 学位：理学博士学位
- 在职信息：在职
- 毕业院校：电子科技大学
访问量：
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[11]肖理业.A Field Data Transformation-Joint Inversion Scheme (FDT-JIS) for Petrophysical Inversion With Electromagnetic and Acoustic Data.IEEE Transactions on Geoscience and Remote Sensing,621-1.
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[12]肖理业,A residual fully convolutional network (Res-FCN) for electromagnetic inversion of high contrast scatterers at an arbitrary frequency within a wide frequency band.INVERSE PROBLEMS,2024,40(6):
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[13]肖理业,An Inverse Topological Design Method (ITDM) Based on Machine Learning for Frequency-Selective-Surface (FSS) Structures.IEEE Transactions on Antennas and Propagation,72(1):1-1.
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[14]肖理业.Multimodule Deep Learning Scheme for Elastic Wave Inversion of Inhomogeneous Objects With High Contrasts.IEEE Transactions on Geoscience and Remote Sensing,611-1.
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[15]肖理业.A Transceiver-Configuration-Independent 2-D Electromagnetic Full-Wave Inversion Scheme Based on End-to-End Artificial Neural Networks.IEEE Transactions on Antennas and Propagation,71(5):1-1.
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[16]肖理业,A Novel Optical Proximity Correction (OPC) System Based on Deep Learning Method for the Extreme Ultraviolet (EUV) Lithography.Progress in Electromagnetics Research,17695-108.
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[17]肖理业.Contracting Electromagnetic Full-Wave Inversion of 2-D Inhomogeneous Objects With Irregular Shapes Based on the Hybrid SESI Forward Solver.IEEE Transactions on Geoscience and Remote Sensing,601-1.
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[18]肖理业,A 3-D Full Convolution Electromagnetic Reconstruction Neural Network (3-D FCERNN) for Fast Super-Resolution Electromagnetic Inversion of Human Brain.DIAGNOSTICS,2021,12(11):
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[19]熊慧,肖理业.Spectral-Element Spectral-Integral (SESI) Method for Doubly Periodic Problems With 3-D Scatterers Embedded in Multiple Regions of Layered Media.IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES,2021,1-11.
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[20]肖理业.Combined Machine Learning-Inversion Scheme for Super-Resolution 3-Dimensional Microwave Human Brain Imaging.2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings,894-895.
