Guokun Liu Group

王磊

Release time:2023-11-02

Name of Research Group: 课题组主要合作者

Team members Introduction:

个人简历:
2021/08 – 至今,厦门大学,航空航天学院机电工程系,教授

2007/07 – 2021/08,厦门大学,物理与机电工程学院机电工程系,副教授

2014/06 – 2014/12,德国海尔布隆大学,访问学者    

2006/09 – 2006/12,德国海尔布隆大学,访问学者    

2005/09 – 2005/12,德国海尔布隆大学,访问学者

2002/08 – 2007/06,厦门大学,物理与机电工程学院机电工程系,讲师

2004/09 – 2007/06,合肥工业大学,信息科学与技术学院电子系,博士    

1999/09 – 2002/06,厦门大学,物理与机电工程学院机电工程系,硕士    

1993/09 – 1997/07,厦门大学,科学仪器与精密机械系,本科    

研究兴趣:
机器视觉、智能制造与检测、光学测量、智能谱学仪器、智能信号处理

近期主要代表论著:

  1. 相关的研究成果在Advanced Materials、Analytical Chemistry、电子学报、光学精密工程等国内外期刊共发表论文三十余篇,获得授权的中国发明专利十二项,实用新型专利四项,获授权软件著作权三项。近期发表的论文包括:


  2. 1. Speeding up the Topography Imaging of Atomic Force Microscopy by Convolutional Neural Network, Analytical Chemistry, 94, 12, 5041-5047, 2022-03-16


  3. 2. Collaborative Low-Rank Matrix Approximation-Assisted Fast Hyperspectral Raman Imaging and Tip-Enhanced Raman Spectroscopic Imaging, Analytical Chemistry, 93, 44, 14609–14617, 2021-10-25


  4. 3. Deep Learning for Bio-spectroscopy and Bio-spectral Imaging: State-of-the-Art and Perspectives, Analytical Chemistry, 93, 8, 3653-3665, 2021-01-01


  5. 4. Automated weak signal extraction of hyperspectral Raman imaging data by adaptive low-rank matrix approximation, Journal of Raman Spectroscopy, 51, 12, 2552-2561, 2020-12-02


  6. 5. Speeding Up the Line-Scan Raman Imaging of Living Cells by Deep Convolutional Neural Network, Analytical Chemistry, 2019, 91, 7070-7077, 2019-06-04


  7. 6. Electrochemical Reflective Absorption Microscopy for Probing the Local Diffusion Behavior in the Electrochemical Interface, Analytical Chemistry, 91, 4, 2831-2837, 2019-02-19


  8. 7. A Plasmonic Sensor Array with Ultrahigh Figures of Merit and Resonance Linewidths down to 3 nm, Advanced Materials, 30, 1, 1706031, 2018-03-22


  9. 8. Dynamic Raman imaging system with high spatial and temporal resolution, Review of Scientific Instruments, 88, 9, 095-110, 2017-09-01


  10. 9. Electrochemical fabrication of silver tips for tip-enhanced Raman spectroscopy assisted by a machine vision system, Journal of Raman Spectroscopy, 47, 7, 808-812, 2016-07-01


  11. 10. Efficient Platform for Flexible Engineering of Super-radiant, Fano-Type, and Sub-radiant Resonances, ACS Photonics, 2, 12, 1725-1731, 2015-12-16


  12. 11. 尿液中常见毒品微量检测的表面增强拉曼光谱识别, 分析化学, 43, 1, 33-39, 2015-01-19


  13. 12. 养殖水体中孔雀石绿的SERS光谱识别, 光谱学与光谱分析, 34, 5, 134-138, 2014-05-15.


  14. 13. 基于等离激元增强拉曼光谱的便携式快速检测仪设计与实现, 光谱学与光谱分析, 37, 12, 3730-3735, 2017-12-01


  15. 14. 基于同轴转臂的角分辨光谱测量系统, 光学学报, 26, 12, 1224001-7, 2016-12-10


  16. 15. 微型铣刀外径视觉测量的不确定度, 光学精密工程, 20, 4, 202-209, 2012-04-01