黄玉清

发布时间:2016-08-04浏览次数:

个人介绍:

黄玉清,博士,教授,博士生导师,2006年7月本科毕业于厦门大学物理系,2011年7月获厦门大学无线电物理专业理学博士学位。2009年10月至2010年10月以联合培养博士生身份到美国罗切斯特大学从事核磁共振人脑医学成像研究。 2011年4月起到西门子(深圳)磁共振有限公司研发部工作,从事核磁共振人体成像序列研发。2012年8月回厦门大学电子科学系工作。2018年入选福建省“高校杰出青年科研人才培育计划”,获福建省科技进步奖二等奖1项(排名第7)和三等奖1项(排名第3),2018至2020连续三年获国际医学磁共振协会颁发的E.k. Zavoisky奖,入选福建省高层人才B类和厦门市高层次人才C类。目前主要从事核磁共振新技术开发及数据处理方法研究,已主持4项国家自然科学基金面上项目、1项青年基金项目以及1项福建省科技计划工业引导性重点项目,参与多项国家基金项目的研究。现如今已在国内外学术刊物上发表100余篇SCI研究论文,其中以第一或通讯作者署名发表70篇,以第一发明人获20项授权发明专利(中国发明专利17项,美国发明专利2项,韩国发明专利1项)。现为厦门大学电子科学与技术学院电子科学系副主任,担任中国分析测试协会磁共振分会会员、体视学学会磁共振成像分会委员,及国内磁共振领域权威刊物Magnetic Resonance Letters和《波谱学杂志》的编委。


联系方式:yqhuangw@xmu.edu.cn

办公地点:厦门大学翔安校区文宣楼B409-4

研究方向:磁共振波谱技术开发及深度学习数据处理方法、生物医学应用


主讲课程: 

物联网技术 (本科生课程)

数字信号处理实验(本科生课程)

磁共振成像实验(研究生课程)

磁共振新技术与应用(研究生课程)


学术兼职:

中国分析测试协会磁共振分会委员

体视学学会磁共振成像分会委员

厦门市知识产权局技术调查官

国家自然科学基金涵评专家

Magnetic Resonance Letters和《波谱学杂志》的编委


科研项目

1. 国家自然科学基金面上项目:基于时空编码和深度学习赋能的拉普拉斯核磁共振波谱新方法及应用 (项目批准号:

22674158),直接经费50万,2027.1-2030.12. (主持)

2. 国家自然科学基金面上项目:基于核自旋单重态的高分辨核磁共振波谱新方法及应用 (项目批准号:

   12275228),直接经费56万,2023.1-2026.12. (主持)

3. 国家自然科学基金面上项目:基于时空编码和纯化学位移的核磁共振扩散排序谱新方法及其应用 (项目批准号:

   22073078),直接经费63万,2021.1-2024.12. (主持)

4. 国家自然科学基金面上项目:快速实现具有扩散和弛豫维的广义高分辨核磁共振多维谱新方法及其应用 (项目批准号:

   11675135),直接经费60万,2017.1-2020.12,已结题. (主持)

5. 中央高校基本业务费(校长基金):小型和微型核磁共振波谱仪关键技术的研究(项目批准号:20720180067),42万,

   2018.1-2020.12,已结题. (主持)

6. 福建省科技计划工业引导性重点项目:新型便携式高分辨率高灵敏度核磁共振谱仪关键技术研发 (项目批准号:

   2017H0040),15万,2017.4-2020.3,已结题. (主持)

7. 国家自然科学基金青年项目:细胞水平上的核磁共振成像新对比度机制的研究及应用 (项目批准号:11205129),30万,

   2013.1-2015.12,已结题. (主持)

8. 国家重点研发计划(基础科研条件与重大科学仪器设备研发):核磁共振波谱仪的研制及工程化开发:课题三“高性能核

  磁共振探头设计及创新应用方法开发”(课题编号:2022YFF0707003),427.24万,2022.11-2025.4,在研,第二参与者。


获奖

1. 2018年,入选福建省“高校杰出青年科研人才培育计划”

2. 2022年,入选厦门市知识产权局技术调查官

3. 2026年,入选福建省高层次人才B类

4. 2021年,入选厦门市高层次人才C类

5. 2021年,第十六届中国研究生电子设计竞赛,华东赛区技术赛一等奖1项和商业赛一等奖1项,指导老师

6. 2020年,E.K. Zavoisky Stipend Award, 国际医学磁共振协会(ISMRM)

7. 2019年,厦门大学中国银行奖教金

8. 2019年,E.K. Zavoisky Stipend Award, 国际医学磁共振协会(ISMRM)

9. 2018年,E.K. Zavoisky Stipend Award, 国际医学磁共振协会(ISMRM)

10. 2017年, 福建省科学技术进步奖三等奖(个人排名第三)

11. 2017年, 厦门市科学技术进步奖二等奖(个人排名第七)

12. 2016年,厦门大学中国工商银行奖教金

13. 2012年,优秀墙报一等奖,海外华人医学磁共振会议(OCSMRM)

14. 2010年,全国宝钢优秀学生特等奖


发表论文(*为通讯作者)

[1] Wang JL*, Wu YL, Zheng CY, *Huang YQ, *Chen Z, 2027, Solvent-dependent of Pt/MoS2 electrocatalytic activity toward ethanol oxidation reaction studied by in situ electrochemical NMR spectroscopy, Magnetic Resonance Letters, 7(1), 200289.

[2] Chen B, Guang X, Rong ZR, Lin JJ, Lin RY, Chen YD, Lin EP, *Yang Y, *Huang YQ, *Chen Z, 2026, Enhancing generalization in non-uniformly sampled NMR spectra reconstruction via accelerated conditional diffusion models, National Science Review, 13, nwag527. (DOI: 10.1093/nsr/nwag527)

[3] Zhan HL#, Yang QJ#, Li HM, Chen B, Chen YL, Xu JM, Zhan Z, Cui YP, *Huang CD, Chen Z, *Huang YQ, 2026, Spatially Selective Diffusion-Ordered NMR Spectroscopy for High-Resolution Mixture Analysis in Inhomogeneous Magnetic Fields, Analytical Chemistry, 98(13), 9842-9850.

[4] Lin JM#, Chen B#, Peng GL, *Feng H, *Huang YQ, 2026, STELT: A spatiotemporal deep learning framework for diffusion-ordered NMR spectroscopy reconstruction with artifact suppression, Journal of Chemical Physics, 165(7), 074108.

[5] Rong ZR, Chen B, Shao J, Lin RY, Xu JM, Lin JM, Peng GL, Feng H, Yang Y, Chen Z, *Huang YQ, 2026, High-ResolutionPhase-Sensitive NMR Reconstruction for Protein Studies Using Diffusion-Based Deep Learning, Analytical Chemistry, 98 (34), 25224–25232.

[6] Xu JM, Lu T, Zhan Z, Wang LN, Cui YP, Li HM, Huang CD, Zhan HL, Wang JF, Yang LM, *Huang YQ, *Chen Z, 2026, Applying a spectral encoding-decoding framework for parallel multi-frequency selective excitation for NMR spectroscopy, Cell Reports Physical Science, 7(8), 103453.

[7] Chen B#, Zhang YB#, Wang L, Zhan Z, Guan X, Rong ZR, Cui YP, Lin EP, Cao SH, *Huang YQ, Yang Y*, *Chen Z, 2025, High-confidence reconstruction for laplace inversion in NMR based on uncertainty-informed deep learning, Science Advances, 11(35), eadw1379.

[8] Zhan HL*, Ni Y, Zhou LL, Ji LF, Liu JW, Yang Y, *Huang YQ, *Chen Z, 2025, Towards fast ultrahigh-resolution NMR spectroscopy with deep learning, Cell Reports Physical Science, 6(10), 102863.

[9] Cui YP#, Zeng YS#, *Huang CD, Yang QJ, Zhan Z, Feng XZ, Cui XH, Cao SH, Zhan HL, *Huang YQ, *Chen Z, 2025, Highly efficient analysison biomass carbohydrate mixtures by DREAMTIMENMR spectroscopy. Analytical Chemistry, 97, 912-920.

[10] Huang CD, Cui YP, Lin XQ, Zeng YS, Feng XZ, Wu JX, *Huang YQ, *Chen Z, 2025, Robust 1D selective correlation NMR spectroscopy for rapid chemical and biological applications, Talanta, 281, 126846.

[11] Zhan HL*, Chen XY, Zhou LL, Ni Y, *Huang YQ, *Chen Z, 2025, Noise reduction of ultrahigh-resolution pure shift NMR spectroscopy for complex chemical and biological sample measurements, IEEE Transactions on Instrumentation and Measurement, 74, 6506808.

[12] Chen B, Fang Z, Zhang YB, Guan X, Lin EP, Feng H, Zeng YS, Cai SH, Yang Y*, *Huang YQ, *Chen Z, 2024, Two-dimensional Laplace NMR reconstruction through deep learning enhancement, Journal of the American Chemical Society, 146(31), 21591-21599.

[13] Lin XQ, Chen YL, Huang CD, Feng XZ, Chen B, *Huang YQ, *Chen Z, 2024, CTCOSY-JRES: A high-resolution three-dimensional NMR method for unveiling J-couplings. Journal of Magnetic Resonance, 362, 107675.

[14] Zhan HL*, Liu JW, Fang QY, *Huang YQ, Chen XY, Ni Y, Zhou LL, Chen Z, 2024, Combining Fast Pure Shift NMR and GEMSTONE-Based Selective TOCSY for Efficient NMR Analysis of Complex Systems, Analytical Chemistry, 96(33), 13742-13748.

[15] Zhan HL*, Chen YL, Cui YP, Zeng YS, Feng XZ, Tan CH, Huang CD, Lin EP, *Huang YQ, Chen Z, 2024, Pure-Shift-Based Proton Magnetic Resonance Spectroscopy for High-Resonlution Studies of Biological Samples, International Journal of Molecular Sciences, 25(9), 4698.

[16] Chen B#, Wu LB#, Cui XH, Lin EP, Cao SH, Zhan HL, *Huang YQ, *Yang Y, *Chen Z, 2023, High-quality Reconstruction for Laplace NMR based on Deep Learning, Analytical Chemistry, 95, 11596-11602.

[17] Zhan HL, Gao CY, Huang CD, Lin XQ, *Huang YQ, *Chen Z, 2023, Efficient determination of scalar coupling networks by band selective decoupled 2D NMR spectroscopy, Analytica Chimica Acta, 1277, 341682.

[18] Huang CD, Lin XQ, Chen B, Feng XZ, Li H, Chen YL, *Huang YQ, *Chen Z, 2023, Targeted probing of compositions and structures for complex sample analyses by singlet-filtered correlation NMR technique, IEEE Transactions on Instrumentation and Measurement, 72, 6504411.

[19] Zhan HL, Hao MY, Lin EP, Zheng ZY, Huang CD, Cai SH, *Cao SH, *Huang YQ, Chen Z, 2023. A pure shift based NMR method for in-phase three-dimensional diffusion-ordered spectroscopy, Analytical Chemistry, 95, 1002-1007.

[20] Huang CD, Peng Y, Lin EP, Ni ZK, Lin XQ, Zhan HL, *Huang YQ, *Chen Z, 2022. An Adaptable Singlet-filtered Nuclear Magnetic Resonance Spectroscopy for Chemical and Biological Applications, Analytical Chemistry, 94, 4201-4208.

[21] Lin XQ, Du SJ, Huang CD, Ni ZK, Lin EP, Chen B, Chen YL, *Huang YQ, *Chen Z, 2022. High-resolution Diffusion-order NMR spectroscopy in inhomogeneous magnetic fields via intermolecular zero-quantum coherences, Analytica Chimica Acta, 1197, 339508.

[22] Lin EP, Bai ZM, Yuan YF, Chen ZW, *Yang Y, *Huang YQ, *Chen Z, 2021, A General Reconstruction Method for Multidimensional Sparse Sampling Nuclear Magnetic Resonance Spectroscopy, The Journal of Physical Chemistry Letters, 12, 10622-10630.

[23] Zhan HL, Huang CD, Gao CY, Lin EP, *Huang YQ, *Chen Z, 2021, Simultaneous determination of multiple coupling networks by high-resolution 2D J-edited NMR spectroscopy, Analytica Chimica ACTA, 1185, 339055.

[24] Zhan HL, Zhan FQ, Gao CY, Lin EP, Huang CD, Lin XQ, *Huang YQ, *Chen Z, 2021, Multiplet analysis by strong-coupling-artifact-suppression 2D J-resolved NMR spectroscopy, Journal of Chemical Physics, 155, 034202.

[25] Lin EP, Telkki VV, Lin XQ, Huang CD, Zhan HL, *Yang Y, *Huang YQ, *Chen Z, 2021, High-resolution Reconstruction for Multidimensional Laplace NMR, The Journal of Physical Chemistry Letters, 12, 5085-5090.

[26] Zhan HL, *Huang YQ, *Chen Z, 2021, An Orthogonal-Pattern Absorption-Mode 2D J-Resolved NMR Spectroscopy for Analyses on Complex Samples, IEEE Transactions on Instrumentation and Measurement, 70, 6004509.

[27] Zhan HL, Hao MY, Feng Y, Cao SH, Ni ZK, *Huang YQ, *Chen Z, 2021, Diffusion Analysis on Complex Mixtures Under Adverse Magnetic Field Conditions by Spatially-Selective Pure Shift Based DOSY, The Journal of Physical Chemistry Letters, 12, 1073-1080.

[28] Zhan HL, *Huang YQ, Wang XC, *Chen Z, 2021, Highly Efficient Determination of Complex NMR Multiplet Structures in Inhomogeneous Magnetic Fields, Analytical Chemistry, 93, 2419-2423.

[29] Xie JY, *You XQ, Huang YQ, Ni ZR, Wang XC, Li XR, Yang CY, Zhang DC, Chen H, *Sun HJ, *Chen Z, 2020, 3D-printed integrative probeheads for magnetic resonance, Nature Communications, 11, 5793.

[30] Lin EP, *Yang Y, *Huang YQ, Chen Z, 2020, High-Resolution Reconstruction for Diffusion-Ordered NMR Spectroscopy, Analytical Chemistry, 92, 634-639.

[31] Huang YQ, Zhan HL, You XQ, Yang Y, Li C, Cai SH, *Chen Z, 2020, A Pure-Shift-based NMR Method for Transverse Relaxation Measurements on Complex Samples, IEEE Transactions on Instrumentation and Measurement, 69, 201-211.

[32] Zhan HL, *Huang YQ, *Chen Z, 2019, High-Resolution Probing of Heterogeneous Samples by Spatially Selective Pure Shift NMR Spectroscopy, The Journal of Physical Chemistry Letters, 10, 7356-7361.

[33] Zhan HL, Lin XQ, Wei ZL, Ye QM, Cai SH, You XQ, *Huang YQ, *Chen Z, 2019. A single-scan inhomogeneity-tolerant NMR method for high-resolution 2D J-resolved spectroscopy, IEEE Transactions on Biomedical Engineering, 66, 1559-1566.

[34] Wang KY, *Huang YQ, Pieter SES, Zhang ZY, Cai SH, *Chen Z, 2018. Single-scan high-resolution 2D J-resolved spectroscopy in inhomogeneous magnetic fields. IEEE Transactions on Biomedical Engineering, 65, 440-448.

[35] Tan CH, *Huang YQ, Feng JH, Li ZS, *Cai SH, 2018. Freshness assessment of intact fish via 2D 1H J-resolved NMR spectroscopy combined with pattern recognition methods, Sensors & Actuators: B, 255, 348-356.

[36] Huang YQ, Cao SH, Yang Y, Cai SH, Zhan HL, Tan CH, Zhang ZY, *Chen Z, 2017. Ultrahigh-resolution NMR spectroscopy for rapid chemical and biological applications in inhomogeneous magnetic fields, Analytical Chemistry, 89, 7115-7122.

[37] Huang YQ, Yang Y, Cai SH, Chen ZW, Zhan HL, Li C, Tan CH, *Chen Z, 2017. General two-dimensional absorption-mode J-resolved NMR spectroscopy, Analytical Chemistry, 89, 12646-12651.

[38] Huang YQ, Lin YY, Cai SH, Yang Y, Sun HJ, *Lin YQ, *Chen Z, 2016. High-resolution nuclear magnetic resonance measurements in inhomogeneous magnetic fields: a fast two-dimensional J-resolved experiment, Journal of Chemical Physics, 144, 104202.

[39] *Huang YQ, Wang KY, Lai WN, Tan CH, Chen S, Cai SH, Chen Z, 2016. A 2D proton J-resolved NMR method for direct measurements on heterogeneous foods, Food Research International, 80, 70-77.

[40] Wang KY, Chen H, Zhang ZY, *Huang YQ, *Chen Z, 2016. Two-dimensional J-resolved NMR analyses of fish and its products via spatially encoded intermolecular double-quantum coherences, Food Analytical Methods, 9, 1502-1511.

[41] Huang YQ, Zhang ZY, Chen H, Feng JH, Cai SH, *Chen Z, 2015. A high-resolution 2D J-resolved NMR detection technique for metabolite analyses of biological samples, Scientific Reports, 5, 8390.

[42] Huang YQ, Zhang ZY, Wang KY, Cai SH, *Chen Z, 2014. HRJCOSY: A three-dimensional NMR method for measuring complex samples in inhomogeneous magnetic fields, Chemical Physics Letters, 609, 21-25.

[43] Huang YQ, Cai SH, Zhang ZY, *Chen Z, 2014. High-resolution two-dimensional J-resolved NMR spectroscopy for biological systems, Biophysical Journal, 106, 2061-2070.


著作

[1] *Chen Z and Huang YQ, 2023. Chapter 16: Fast 2D NMR in Inhomogeneous Magnetic Fields. Fast 2D Solution-state NMR: Concepts and Applications, Royal Society of Chemistry, 476-508.

[2] Chen Z*, Huang YQ, Lin YQ, Cai SH, 2011. Accurate measurements of small J coupling constants. Annual Reports on NMR Spectroscopy, Academic Press, Vol. 72, Chapter 4.

[3] Lin YL, Huang YQ, Cai SH, Chen Z*, 2013. Intermolecular zero quantum coherence in NMR spectroscopy. Annual Reports on NMR Spectroscopy, Academic Press, Vol. 78, Chapter 5.

[4] 陈忠,黄玉清. 磁场与生命科学的跨学科研究. 第5章p.276-303,科学出版社,2018, (ISBN 978-7-03-059910-0)


授权发明专利

[1] Huang YQ, Chen Z, Gao CY, Zhan HL, Method for acquring NMR phase-sensitive 2D J-resolved spectrum by supressing strong coupling spurious peaks, 授权日期:2023.05.16,美国发明专利,专利号: US11650274B2.

[2] Huang YQ, Zhao C, Radio frequency excitation method and device for magnetic resonance imaging system, 授权日期:2018.02.20,美国发明专利,专利号: US9897676.

[5] 黄玉清,陈博,吴柳滨,杨钰,陈忠,一种基于深度学习的核磁共振信号弛豫时间分布计算方法,授权日期: 2025.10.31,中国发明专利,专利号: ZL202210821340.5.

[4] 黄玉清,倪志凯,黄程达,陈忠,一种基于长寿命自旋态滤波的磁共振定域谱方法,授权日期: 2024.07.05,中国发明专利,专利号: ZL202210831159.2.

[5] 黄玉清,高存渊,詹昊霖,陈忠,一种抑制强偶合伪峰的核磁共振相敏二维J分解谱方法,授权日期: 2022.02.16,中国发明专利,专利号: 202110360701.6.

[6] 黄玉清,赖伟楠,陈忠,李晨,谭春华,一种应用于不均匀磁场的快速二维J谱方法,授权日期: 2019.11.05,中国发明专利,专利号: 201711041601.7.

[7] 黄玉清,李晨,陈忠,赖伟楠,谭春华,一种基于纯化学位移的核磁共振扩散谱方法,授权日期: 2019.04.30,中国发明专利,专利号: ZL201711035089.5.

[8] 黄玉清,陈忠,蔡淑惠,陈帅,一种获得高分辨二维J分解谱的方法,授权日期: 2018.06.29,中国发明专利,专利号: ZL201610397699.9.

[9] 黄玉清,陈忠,谭春华,蔡淑惠,赖伟楠,詹昊霖,李晨,一种获得核磁共振二维相敏J谱的方法,授权日期: 2018.04.10,中国发明专利,专利号: ZL201710051859.9.

[10]黄玉清,陈忠,赖伟楠,谭春华,蔡淑惠,詹昊霖,李晨,一种单体素定域一维纯化学位移核磁共振谱方法,授权日期: 2017.12.19,中国发明专利,专利号: ZL201710044937.2.

[11] 黄玉清,陈忠,谭春华,一种抵抗磁场不均匀的纯化学位移核磁共振谱方法,授权日期: 2017.10.10,中国发明专利,专利号: ZL201610137979.6.

[12] 黄玉清,陈忠,汪凯宇,一种用于任意磁场环境的核磁共振二维扩散排序谱方法,授权日期: 2017.08.29,中国发明专利,专利号: ZL201610139580.1.

[13] 黄玉清,汪凯宇,陈忠,一种用于生物组织的核磁共振检测方法,授权日期: 2017.06.23,中国发明专利,专利号: ZL2015107102123.

[14] 黄玉清, 赵聪. 一种磁共振系统的射频激发方法和装置, 中国发明专利, 授权日期: 2017.02.15,中国发明专利,专利号: ZL201310096478.4.

[15] Huang YQ, Zhao C, Radio frequency excitation method and device for magnetic resonance imaging system, 授权日期: 2016.08.23,韩国发明专利,专利号: 10-1652156.

[16] 黄玉清,陈忠,一种不均匀磁场下获得高分辨率核磁共振三维谱的方法,授权日期: 2016.07.06,中国发明专利,专利号: ZL201410151498.1.

[17] 黄玉清,陈忠,一种不均匀磁场下获得核磁共振二维J分解谱的方法,授权日期: 2016.05.18,中国发明专利, 专利号: ZL201410153283.3.

[18] 黄玉清,陈忠,在不均匀磁场下获得核磁共振二维自旋回波相关谱的方法,授权日期: 2016.01.20,中国发明专利, 专利号: ZL201410022087.2.

[19] 黄玉清,一种扩散张量磁共振成像方法,授权日期: 2015.07.29,中国发明专利,专利号: ZL201210196558.2.




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