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杨钰

系别:电子科学系

职称:副教授

邮箱:yuyang15@xmu.edu.cn

联系方式:

办公地点:厦门大学翔安校区文宣楼B409-2

个人简历:




学历:

南京大学理学学士,学专业

清华大学学博士,电气工程专业


研究方向:

信号处理、机器学习、优化算法、核磁共振新技术


主讲课程:

数字信号处理(本科生课)

数字信号处理与图像处理实验(本科生课)


学术兼职:

IEEE Transactions on Instrumentation and Measurement 副编辑

IEEE Transactions on Instrumentation and Measurement 等期刊审稿人


成果奖励:

厦门大学“我最喜爱的十位老师”(2020

IEEE Transactions on Instrumentation and Measurement Outstanding Reviewer (2022)

IEEE Transactions on Instrumentation and Measurement Outstanding Associate Editor (2022, 2023)



课题项目:

磁共振信号处理的综合性方法框架及强泛化性特征提。妹攀凶匀豢蒲Щ面上项目,2023.07-2026.06,主持

不均匀磁场下高分辨率核磁共振波谱重建方法,国家自然科学基金青年项目,2017.01-2019.12,主持


代表作:

[1] B. Chen, L. Wu, X. Cui, E. Lin, S. Cao, H. Zhan, Y. Huang*, Y. Yang*, Z. Chen*, High-quality reconstruction for Laplace NMR based on deep learning, Analytical Chemistry, 2023, 95(31): 11596–11602.

[2] E. Lin, B. Chen, Z. Ni, Y. Huang, Y. Yang*, Z. Chen*, A generally regularized inversion for NMR applications and beyond, IEEE Trans. on Instrumentation and Measurement, 2023, 72: 6503211.

[3] J. Lin, S. Chen, E. Lin, Y. Yang*, Deep feature selection for anomaly detection based on pretrained network and Gaussian discriminative analysis, IEEE Open Journal of Instrumentation and Measurement, 2022, 1: 3500611.

[4] E. Lin, N. Zou, Y. Huang, Z. Chen, Y. Yang*, Neural network method for diffusion-ordered NMR spectroscopy, Analytical Chemistry, 2022, 94(6): 2699-2705.

[5] E. Lin, Z. Bai, Y. Yuan, Z. Chen, Y. Yang*, Y. Huang*, Z. Chen*, A general reconstruction method for multidimensional sparse sampling Nuclear Magnetic Resonance spectroscopy, The Journal of Physical Chemistry Letters, 2021, 12(43): 10622-10630.

[6] E. Lin, V. Telkki, X. Lin, C. Huang, H. Zhan, Y. Yang*, Y. Huang*, Z. Chen*, High-resolution reconstruction for multidimensional Laplace NMR, The Journal of Physical Chemistry Letters, 2021, 12(21): 5085-5090.

[7] Y. Yang*, N. Zou, E. Lin, F. Suo, Z. Chen, A neural network method for nonconvex optimization and its application on parameter retrieval, IEEE Trans. on Signal Processing, 2021, 69: 3383-3398.

[8] H. Li, Y. Yang*, H. Zhan, X. Lin, Z. Chen*, Periodic artifact suppression for pure shift NMR spectroscopy, IEEE Trans. on Instrumentation & Measurement, 2021, 70: 4000609.

[9] E. Lin, Y. Yang*; Y. Huang *, Z. Chen, High-resolution reconstruction for diffusion-ordered NMR spectroscopy, Analytical Chemistry, 2020, 92(1): 634-639.

[10] Y. Yang*, H. Yao, J. Dong, X. Qu, Z. Chen, Amplitude estimation and source separation for harmonics within two mixtures based on a min-rank criterion, IEEE Trans. on Instrumentation & Measurement, 2019, 68(12): 4618-4628.


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