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林雁勤,厦门大学电子科学系,厦门大学电子科学与技术学院(国家示范性微电子学院)
Lin Group
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Research Areas
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Signal Processing Based on Deep Learning
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Signal Acquisition Based on New Pulse Sequences
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Biomedical and Chemical Applications
Latest News
2023-01-02
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We are recruiting master and PhD students. Welcome to join us! We will design projects according to the characteristics, interests and career planning of each student.
2025-03-10
Congratulations to Luo Yao and others on the publication of their paper in Progress in Nature Communications
2025-01-18
Congratulations to Luo Yao and others on the publication of their paper in Progress in Nuclear Magnetic Resonance Spectroscopy
2024-12-20
Congratulations to Shi Xiaoqi on the publication of her paper in Analytica Chimica Acta
2024-11-19
Dr. Yang Haijun from Tsinghua University gave an academic lecture
2024-11-09
Congratulations to Yang Zhengxian and Cai Weigang on the publication of their paper in Chemical Science
2024-11-08
Professor Lin Yanqin attended the First Analytical Science and Instrumentation Conference and gave a presentation
2024-11-05
Professor Lin Yanqin attended the 8th Magnetic Resonance Network Conference and gave a presentation
2024-09-20
Some teachers and students of the research group attended the Bruker NMR Pharmaceutical Applications Symposium held in Shanghai
2024-07-12
Congratulations to Su Zhenhua for successfully passing the master's graduation defense
2024-06-07
Congratulations to Luo Bin for successfully passing the master's graduation defense
2024-02-29
Congratulations to Qiu Mengjie on the publication of her paper in Magnetic Resonance Letters
2023-11-02
Professor Lin Yanqin attended the National Analytical Chemistry Annual Meeting and gave a report
2023-11-02
Professor Lin Yanqin attended and gave a presentation at the Magnetic Resonance Network conference
2023-10-21
Professor Lin Yanqin was invited to attend the academic conference on medical imaging and gave a report
2023-10-03
Academician Ye Zhaohui came to the university to give academic lectures
2023-09-01
Prof. Lin Yanqin received a gift book signed by Academician Ye Zhaohui
2023-08-30
Dr. Zeng Qing, a graduate of the research group, returned to the school to give a lecture
2023-08-20
The 23rd ISMAR International Conference was held in Brisbane, attended by PhD student Xiaoqi Shi
2023-08-14
Some members of the research team went to the egg white Matter Center in Shanghai to do the experiment
2023-08-10
The 22nd National Conference on Magnetic Resonance Spectroscopy was held in. Some teachers and students of the group participated in the conference
2023-08-01
Congratulations to Prof. Lin Yanqin on being appointed as a member of the Chinese Biophysical Society's Branch of Biomagnetic Resonance
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Latest Papers
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Yao Luo, Wenhan chen, Zhenhua Su, Xiaoqi Shi, Jie Luo, Xiaobo Qu, Zhong Chen, Yanqin Lin
Deep learning network for NMR spectra reconstruction in time-frequency domain and quality assessment
Nature Communications, 2025, 16: 2342
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Yao Luo, Xiaoxu Zheng, Mengjie Qiu, Yaoping Gou, Zhengxian Yang, Xiaobo Qu, Zhong Chen, Yanqin Lin
Deep learning and its applications in nuclear magnetic resonance spectroscopy
Progress in Nuclear Magnetic Resonance Spectroscopy, 2025, 146-147: 101556
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Xiaoqi Shi, Wen Zhu, Qing Zeng, Yao Luo, Zhong Chen, Yanqin Lin
Selective-excitation-based method for measurement of NMR relaxation time
Analytica Chimica Acta, 2025, 1335: 343465
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Zhengxian Yang, Weigang Cai, Wen Zhu, Xiaoxu Zheng, Xiaoqi Shi, Mengjie Qiu, Zhong Chen, Maili Liu, Yanqin Lin
Deep learning enabled ultra-high quality NMR chemical shift resolved spectra
Chemical Science, 2024, 15: 20039-20044
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Mengjie Qiu, Zhong Chen, Yanqin Lin
Deep learning for determining pure isotropic proton spectra from solid-state spectra
Magnetic Resonance Letters, 2024, 4: 100089
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Qiuyi Dong, Yunbin Cao, Huiwei Huang, Danli, Yanqin Lin, Huajun Chen
Metabolic disorder and functional disturbance in the central executive network in minimal hepatic encephalopathy
Cerebral cortex, 2024, 34: bhae036
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Di Guo, Xianjing Chen, Mengli Lu, Wangfeng He, Sihui Luo, Yanqin Lin, Yuqing Huang, Lizhi Xiao, Xiaobo Qu
Review and prospect: applications of exponential signals with machine learning in nuclear magnetic resonance
Spectroscopy, 2023, 38: 22-32
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Zhengxian Yang, Xiaoxu Zheng, Xinjing Gao, Qing Zeng, Chuang Yang, Jie Luo, Chaoqun Zhan, Yanqin Lin
Deep learning methodology for obtaining ultraclean pure shift proton nuclear magnetic resonance spectra
The Journal of Physical Chemistry Letters, 2023, 14: 2297-3402
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Changhao Wang, Yunyan Li, Yanqin Lin, Yonghua Wang, Zhong Chen, Lei Zhu, Junfeng Wang
In situ enzymatic hydrolysis characterisation of phospholipid using 1H NMR in a heterogeneous environment
LWT, 2023, 177: 114592
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Xiaoxu Zheng, Zhengxian Yang, Chuang Yang, Xiaoqi Shi, Yao Luo, Jie Luo, Qing Zeng, Yanqin Lin, Zhong Chen
Fast acquisition of high-quality nuclear magnetic resonance pure shift spectroscopy via a deep neural network.
Journal of Physical Chemistry Letters, 2022, 13: 2101-2106
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