学历:
南京大学理学学士,声学专业
清华大学工学博士,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.