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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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[1]肖理业.A Machine-Learning-Based Method to Accelerate the Design of SAW Filters at Different Frequency Bands.IEEE Sensors Journal,24(16):1-1.
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[2]肖理业.A Machine Learning-Enabled Radiation-Scattering Integrated Design Approach for Low-Scattering Phased Arrays.IEEE Antennas and Wireless Propagation Letters,23(12):1-5.
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[3]肖理业.The Design of SAW Filters With CNN Modeling and Cuckoo Search (CS) Optimization.IEEE MTT-S International Conference on Microwave Acoustics and Mechanics, IC-MAM 2024,57-60.
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[4]肖理业,Frequency Selective Surface Intelligent Topology Design Based on Machine Learning Technique.2023 IEEE 11th Asia-Pacific Conference on Antennas and Propagation, APCAP 2023 - Proceedings,
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[5]肖理业,A Hybrid Forward-Inverse Neural Network With the Transceiver-Configuration-Independent Technique for the Wideband Electromagnetic Inverse Scattering Problem.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,62
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[6]肖理业,A Wideband and Flexible Testing System Based on a Quasi-Coaxial Structure and Machine Learning.IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES,2023,1-9.
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[7]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.arXiv,2023,
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[8]卓建亮,肖理业.Machine-Learning Inversion of Resistivity Profiles From Multifrequency Electromagnetic Measurements on Undulating Terrain Surfaces.IEEE Transactions on Geoscience and Remote Sensing,611-9.
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[9]肖理业.A Spatial Inverse Design Method (SIDM) Based on Machine Learning for Frequency-Selective-Surface (FSS) Structures.IEEE Transactions on Antennas and Propagation,72(3):1-1.
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[10]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-PIER,17695-108.
