XLY
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- Associate professor
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (Pinyin):XLY
- E-Mail:
- School/Department:电子科学与技术学院（国家示范性微电子学院）
- Education Level:博士研究生毕业
- Business Address:厦门大学翔安校区文宣楼
- Contact Information:liyexiao16@xmu.edu.cn
- Degree:Doctor of Science (D.Sc.)
- Professional Title:Associate professor
- Status:在职
- Alma Mater:电子科技大学
- Teacher College:School of Electronic Science and Engineering (National Model Microelectronics College)
Contact Information
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- Paper Publications
- XLY.Machine-Learning-Based Inversion Scheme for Super-Resolution Three-Dimensional Microwave Human Brain Imaging.IEEE Antennas and Wireless Propagation Letters,21(12):1-5.
- XLY.Substrate-Integrated Cavity-Backed Array With Controlled Mutual Coupling for Wide Scanning.IEEE Antennas and Wireless Propagation Letters,21(4):808-812.
- XLY,A Hybrid Neural Network Electromagnetic Inversion Scheme (HNNEMIS) for Super-Resolution 3-D Microwave Human Brain Imaging.IEEE Transactions on Antennas and Propagation,70(8):6277-6286.
- XLY.Radial Basis Function Neural Network With Hidden Node Interconnection Scheme for Thinned Array Modeling.IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS,2019,19(12):2418-2422.
- XLY,Efficient Inverse Extreme Learning Machine for Parametric Design of Metasurfaces.IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS,2019,19(6):992-996.
- XLY.Quantitative Electromagnetic Inversion of Irregular Scatterers Based on a Threefold Hybrid Method.IEEE Transactions on Antennas and Propagation,69(12):8664-8674.
- XLY.Nonlinear Electromagnetic Inversion of Damaged Experimental Data by a Receiver Approximation Machine Learning Method.IEEE Antennas and Wireless Propagation Letters,20(7):1185-1189.
- XLY,Inverse Artificial Neural Network for Multiobjective Antenna Design.IEEE Transactions on Antennas and Propagation,69(10):6651-6659.
- XLY,A self-adaptive kernel extreme learning machine for short-term wind speed forecasting.Applied Soft Computing,99
- XLY,Combined model with secondary decomposition-model selection and sample selection for multi-step wind power forecasting.Applied Energy,2020,261