卢红梅 - 中南大学 - 化学化工学院

个人简介

2001-至今，中南大学化学化工学院从事分析化学工作 2017年，受欧盟ERASMUS项目资助，在葡萄牙Algarve大学和Cadiz大学进行讲学 2014年，受欧盟ERASMUS项目资助，在挪威Bergen大学、西班牙Barcelona大学进行讲学 2013年，受欧盟ERASMUS项目资助，在西班牙Cadiz大学进行讲学 2006-2007年，受英国生物技术和生命科学研究委员会(BBSRC)中国伙伴基金(China Partner Award)的资助，于英国Manchester大学多学科生物中心进行访问学习

研究领域

光谱分析与化学计量学质谱联用技术与代谢组学研究无损分析技术与文物智能保护机器学习与化学信息学新型样本前处理方法研究

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Fusion of Quality Evaluation Metrics and Convolutional Neural Network Representations for ROI Filtering in LC–MS.Analytical Chemistry, 2023 Ultra-fast and accurate electron ionization mass spectrum matching for compound identification with million-scale in-silico library.Nature Communications, 2023 A Universal and Accurate Method for Easily Identifying Components in Raman Spectroscopy Based on Deep Learning.Analytical Chemistry, 2023 Photocatalytic Reactive Liquid Microjunction Surface Sampling-Mass Spectrometry Imaging for Rapid and Selective Localization of Alpha-unsubstituted Amine Metabolites or Drugs in Brain Tissue.Analytical Chemistry, 2022 Prediction of drug-likeness using graph convolutional attention network.Bioinformatics, 2022[3]Porous Graphitic Carbon-Based Imprint Mass Spectrometry Imaging with an Ambient Liquid Extraction Technique for Enhancing Coverage of Glycerolipids and Sphingolipids in Brain Tissue.Analytical Chemistry, 2022 Prediction of Liquid Chromatographic Retention Time with Graph Neural Network to Assist Small Molecule Identification.Analytical Chemistry, 2021 Separation of Glycolipids/Sphingolipids from Glycerophospholipids on TiO2 Coating in Aprotic Solvent for Rapid Comprehensive Lipidomic Analysis with Liquid Microjunction Surface SamplingMass Spectrometry.Analytical Chemistry, 2020, 92: 11250-11259. Hongchao Ji, Hanzi Deng, Hongmei Lu, Zhimin Zhang, Hongmei Lu, Zhimin Zhang, Predicting Molecular Fingerprint from Electron-Ionization Mass Spectrum with Deep Neural Networks.Anal Chem, 2020 Zhimin Zhang, Hongmei Lu, Yamei Xu, Hongchao Ji.Deep MS/MS-Aided Structural-Similarity Scoring for Unknown Metabolite Identification[J].Anal. Chem., 2019 Tonghua Li, Hongmei Lu, Zhimin Zhang, Peisheng Cong, Ming Wen.DeepMirTar: a deep-learning approach for predicting human miRNA targets，.Bioinformatics, 2018 Hongmei Lu, Zhimin Zhang, Hongchao Ji.TarMet: a reactive GUI tool for efficient and confident quantification of MS based targeted metabolic and stable isotope tracer analysis[J].Metabolomics, 2018, 14: 68. Zhimin, Hongmei Zhang, Yamei Lu, Fanjuan Xu, Hongchao Zeng, Ji.KPIC2: An Effective Framework for Mass Spectrometry-Based Metabolomics Using Pure Ion Chromatograms[J].Analytical Chemistry, 2017, 89: 7631-7640. Hongmei, Yonghuan Lu, Ruihan Yun, Haozhi Yang, Shaoyu Sha, Zhimin Niu, Ming Zhang, Wen.Deep-Learning-Based Drug–Target Interaction Prediction[J].Journal of Proteome Research, 2017, 16 (4) : 1401-1409. Yizeng, Jiekun Liang, Hongmei Luo, Zian Lu, Yonghuan Xia, Yang Yun, Xinyi Wang, Zhou.A potential tool for diagnosis of male infertility: Plasma metabolomics based on GC–MS[J].Talanta, 2016, 147: 82-89. An D, Wang D, Liang Y, Yi L, Lu H, Huang J, Lin Z, Gon？alves CMV, Dai L.Exploring metabolic syndrome serum free fatty acid profiles based on GC–SIM–MS combined with random forests and canonical correlation analysis[J].Talanta, 2015, 135: 108-114. Liang Y-Z, Yi L-Z, Huang X, Yan J, Lu H-M, Gon？alves CMV, Lai G-B, Deng B-C, Liang F, Yun Y-H.nformative metabolites identification by variable importance analysis based on random variable combination[J].Metabolomics, 2015, 11: 1539-1551. Min Fan, Hong-Mei He, Lun-Zhao Lu, Daniel K. W. Yi, Qing-Song Mok, Yi-Zeng Xu, Nai-Ping Liang, Dong.Prediction of Peptide fragment ion mass spectra by data mining techniques[J].Analytical Chemistry, 86 (15) : 7446-7454. Lu H, Yi L, Liang Y, Dong N.Investigation of Scrambled Ions in Tandem Mass Spectra. Part. 2. On The Influence of the Ions On Peptide Identification[J].J Am Soc Mass Spectrom, 2013, 24: 857-867. Liang Y-Z, Lu H-M, Yang R-H, Yun Y-H, Cao D-S, Deng B-C, Wen M.The model adaptive space shrinkage (MASS) approach: a new method for simultaneous variable selection and outlier detection based on model population analysis[J].Analyst, 2016, 141: 5586-5597. Liang Y-z, Yi L-z, Ji H-c, huang J-h, Lu H-M, Dai L, Gon？alves C, Lin Z.Exploring metabolic syndrome serum profiling based on gas chromatography mass spectrometry and random forest algorithm[J].Analytica Chimica Acta, 2014, 827: 22-27. Liang Y-Z, Chen X-Q, Lu H-M, Zhang M-J, Ma P, Peng Y, Tong X, Zhang Z-M.Multiscale peak detection in wavelet space[J].Analyst, 2015, 140: 7955 - 7964. Liang Y-Z, Luo Q-Y, Lu H-M, Wang W-T, Yin Y-L, Cao D-S, Yun Y-H, Deng B-C.A bootstrapping soft shrinkage approach for variable selection in chemical modeling.Analytica Chimica Acta, 2016, 908: 63-74.