【基本信息】
副研究员，硕士生导师
研究方向：人工智能与生物医学影像处理、空间代谢组学数据分析
电子邮件：gankLei@fzu.edu.cn
办公室：福州大学旗山校区国家大学科技园7号楼520
【个人简介】
郭磊，男，福州大学“旗山学者”，福建省高层次人才（C类）。2023年7月获厦门大学工学博士学位，师从董继扬教授。2024年9月至2025年9月在香港浸会大学进行博士后研究，师从蔡宗苇教授。近几年从事人工智能与医学影像处理，空间代谢组学分析方法开发等研究。现已主持1项国家自然科学基金青年项目，并参与多项国家自然科学基金面上项目、香港特别行政区研究资助局优配基金项目，福建省自然科学基金项目等。共发表SCI期刊论文20余篇，以第一作者或通讯作者在Advanced Science, Analytical Chemistry, Analytica Chimica Acta等SCI期刊上发表论文10余篇，公开或授权多项国家发明专利，担任多家国际SCI期刊审稿人等。
【科研在研项目】
1. 国家自然科学基金委员会，青年科学基金项目(C类)，2025.01至2027.12，30万元，负责人。
2. 福州大学“旗山学者”人才项目，2024.10至2029.10, 30万元，负责人。
3. 福州大学研究生教育教学改革项目，2025.08至2027.08，10万元，负责人。
4. 香港特别行政区研究资助局优配基金项目，2026.01至2028.12，80余万元，主要参与人。
5. 福建省科学技术厅，科技创新联合资金项目(攀登项目)，2024-12-31至2027-12-31，50万，主要参与人。
【招生信息】
目前硕士招生专业：人工智能（085410），计算机技术 (085404)。
欢迎对“AI for Science”，大语言模型和医工交叉研究感兴趣的同学报考研究生。
【近年发表的主要论文】（*通讯作者）
ResearchGate: https://www.researchgate.net/profile/Lei-Guo-77
Google Scholar: https://scholar.google.com/citations?user=sQ3DxlQAAAAJ&hl=zh-CN
1. Dai JH; Dong LH; Xu JJ; Deng LL; Guo L (*); Dong JY(*). Explainable Machine Learning Enables Robust Evaluation of Extracted Ion Chromatograms in LC–MS Metabolomics. Chemometrics and Intelligent Laboratory Systems, 2026, 269(15): 105591.
2. Wang LL; Xie CY; Guo L(*); Lam TLK; Wong CKC; Shah M; Xu XN; Wang JN(*); Xu JJ(*); Dong JY; Cai ZW. prepIMS: A Robust Data Preprocessing Workflow for Ion Mobility Mass Spectrometry Imaging. Analytica Chimica Acta, 2026, 1384(22): 344951.
3. Guo L(*). Advanced Computational Approaches for Multimodal Fusion in Mass Spectrometry Imaging. Rapid Communications in Mass Spectrometry, 2026, 40(4): e70007.
4. 郭磊，林子俺(*). 人工智能融入“化学测量学”实验课程的教学探索—基于图神经网络的离子迁移谱碰撞截面积预测. 实验室研究与探索, 2026, 45(1): 148-152.
5. Shi ZF; Nie J; Chen ZC; Lam TKY; Wang JN; Guo L; Li YK; Cui CH; Ying HT; Zhang JN; Cai X; Zeng QJ; Chen YY; Lin SC; Zheng LS; Cai ZW(*). Synergistically Activating N2 and CO2 at Water Microdroplet Interfaces. Angewandte Chemie International Edition, 2026, 138(3): e19068.
6. 郭磊，董继扬，蔡宗苇(*). 基于人工智能的质谱成像数据缺失值插补方法. 分析测试学报, 2026, 45:1-7.
7. Guo L; Xie PS; Shen XH; Lam TLK; Deng LL; Xie CY; Xu XN; Wong KC; Xu JJ; Fang JC; Wang XX; Xiong Z; Luo SY; Wang JN; Dong JY(*); Cai ZW(*). Unraveling Spatial Heterogeneity in Mass Spectrometry Imaging Data with GraphMSI. Advanced Science. 2025, 12, 2410840.
8. Guo L; Xie CY; Diao X; Lam TLK; Zhong YH; Chen YY; Xu JJ; Xu XN; Zhu XY; Xiong Z; Luo SY; Wang JN; Dong JY(*); Cai ZW(*). De-MSI: A Deep Learning-Based Data Denoising Method to Enhance Mass Spectrometry Imaging by Leveraging the Chemical Prior Knowledge. Analytical Chemistry, 2025, 97(37): 20201–20208.
9. Zhu ZY; Xie CY; Lin SJ; Xu XN; Niu SX; Guo L(*); Dong JY(*). Large Language Model-Empowered Compound Collision Cross-Section Prediction.Analytical Chemistry, 2025, 97(36): 19791–19800.
10. Guan B; Guo L(*); Lam TLK; Xiong Z; Luo SY; Sun Y; Chen KZ(*). ProtPSP: Determination of Protein Phosphorylation Sites with Protein Large Language Model. ACS Omega, 2025, 10(51), 63525–63535.
11.Yang CH; Liu LQ; Xiao WJ; Wu F; Guo L(*); Li C(*).Estimating major pathological response in non-small cell lung cancer patients with post-neoadjuvant therapy using MMT-net. Scientific Reports, 2026.
12. Fang JC; Guo L(*); Zhang YH; Guo Q; Wang M(*); Wang XX(*). The Target Atlas for Antibody-Drug Conjugates across Solid Cancers. Cancer Gene Therapy, 2024, 31, 273-284.
13. Guo L; Xie CY; Miao R; Xu JJ; Xu XN; Fang JC; Wang XX; Liao XW(*); Wang JN(*); Dong JY(*); Cai ZW(*); DeepION: A Deep Learning-based Low-dimensional Representation Model of Ion Images for Mass Spectrometry Imaging. Analytical Chemistry, 2024, 96(6): 3829-3836.
14. Guo L; Zhu JY; Wang KQ; Cheng KK; Xu JJ; Dong LH; Xu XN; Chen C; Mudassir S; Peng ZX; Wang JN; Cai ZW; Dong JY(*). Multimodal Image Registration and Fusion to Improve Spatial Resolution of Mass Spectrometry Imaging.Analytical Chemistry, 2023, 95(25): 9714-9721.
15. Guo L; Dong JY(*); Xu XN; Wu ZC; Zhang YB; Wang YW; Li PF; Tang Z; Zhao C(*); Cai ZW(*). Divide-and-conquer: a Flexible Deep Learning Strategy for Exploring Metabolic Heterogeneity from Mass Spectrometry Imaging Data. Analytical Chemistry, 2023, 95(3): 1924-1932.
16. Guo L; Liu XX; Zhao C; Hu ZX; Xu XN; Cheng KK; Zhou P; Xiao Y; Mudassir S; Xu JJ(*); Dong JY(*); Cai ZW. iSegMSI: An Interactive Strategy to Improve Spatial Segmentation of Mass Spectrometry Imaging Data. Analytical Chemistry, 2022, 94(42): 14522-14529.
17. Guo L; Hu ZX; Zhao C(*); Xu XN; Wang SJ; Xu JJ; Dong JY; Cai ZW(*). Data Filtering and Its Prioritization in Pipelines for Spatial Segmentation of Mass Spectrometry Imaging.Analytical Chemistry, 2021, 93(11): 4788-4793.
18. Guo L; Wang YP; Xu, XN; Cheng KK; Long YC; Xu JJ; Li SS; Dong JY(*). DeepPSP: A Global-local Information-based Deep Neural Network for the Prediction of Protein Phosphorylation Sites. Journal of Proteome Research, 2020, 20(1), 346-356.
19. Guo L; Wang SF(*); Li MY; Cao ZC. Accurate Classification of Membrane Protein Types based on Sequence and Evolutionary Information using Deep Learning. BMC Bioinformatics, 2019, 20(1), 25.
20. Guo L; Wang SF(*); Lei ZF; Wang XR. Prediction for Membrane Protein Types Based on Effective Fusion Representation and MIC-GA Feature Selection.IEEE Access, 2018, 6, 75669-75681.
