论文著作：
[1]Lewis Acidic Metal–Organic Framework Assisted Ambient Liquid Extraction Mass Spectrometry Imaging for Enhancing the Coverage of Poorly Ionizable Lipids in Brain Tissue.Analytical Chemistry, 2024, 96 (3) : 1073-1083.
[2]Fusion of Quality Evaluation Metrics and Convolutional Neural Network Representations for ROI Filtering in LC–MS.Analytical Chemistry, 2023
[3]Ultra-fast and accurate electron ionization mass spectrum matching for compound identification with million-scale in-silico library.Nature Communications, 2023
[4]A Universal and Accurate Method for Easily Identifying Components in Raman Spectroscopy Based on Deep Learning.Analytical Chemistry, 2023
[5]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
[6]Prediction of drug-likeness using graph convolutional attention network.Bioinformatics, 2022
[7]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
[8]Prediction of Liquid Chromatographic Retention Time with Graph Neural Network to Assist Small Molecule Identification.Analytical Chemistry, 2021
[9]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.
[10]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
[11]Zhimin Zhang, Hongmei Lu, Yamei Xu, Hongchao Ji.Deep MS/MS-Aided Structural-Similarity Scoring for Unknown Metabolite Identification[J].Anal. Chem., 2019
[12]Tonghua Li, Hongmei Lu, Zhimin Zhang, Peisheng Cong, Ming Wen.DeepMirTar: a deep-learning approach for predicting human miRNA targets，.Bioinformatics, 2018
[13]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.
[14]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.
[15]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.
[16]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.
[17]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.
[18]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.
[19]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.
[20]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.
科研项目：
[1]中国科学院大连化物所:化工大模型3.0多模态数据标注，立项时间：2025-03-18,立项时间:2025-03-18
[2]国家自然科学基金，多模态波谱数据驱动的化合物结构智能解析(22473116),立项时间:2024-08-26
[3]重点研发计划项目，壁画高精度多光谱高效采集处理装备与应用示范(2023YFF0906700),立项时间:2023-11-26
[4]国家自然科学基金，复杂体系高光谱成像数据的智能挖掘,立项时间:2022-09-10
[5]中国文化遗产研究院:布达拉宫高光谱扫描与数据处理,立项时间:2022-05-30
[6]云南锡业集团(控股)有限责任公司，助焊剂成分剖析,立项时间:2021-06-06
[7]中国文化遗产研究院，天安门华表表面污染及风化研究,立项时间:2019-05-01
[8]中国文化遗产研究院，布达拉宫贝叶经的高光谱扫描与数据处理,立项时间:2020-07-20
[9]国家自然科学基金, 代谢组学非依赖型（DIA）液质数据处理方法与软件开发
[10]国家自然科学基金，代谢组学数据高性能分析方法与整体策略研究(21675174)
[11]国家自然科学基金，基于色谱-质谱联用的小分子代谢物鉴定新方法研究
[12]国家自然科学基金， 基于血清多肽组学和代谢组学的肿瘤早期标志物的发现及诊断模型的构建
[13]国家自然科学基金， 基于代谢组学的中药质量控制方法研究
[14]国家自然科学基金， 代谢组学高通量数据预处理及多变量分析方法研究
[15]科技部国际合作项目，基于系统生物学的中药现代化基础研究
[16]科技部国际合作项目，基于代谢组学的中药活性成分的分析与评价研究
[17]英国BBSRC中国伙伴基金，Intelligent optimisation of metabolome technology
[18]湖南省科技计划，基于代谢组学的肿瘤分期与早期诊断关键技术研究
[19]湖南省科技计划，基于血清多肽组学的肿瘤诊断和标志物发现的数据挖掘方法研究
[20]湖南省科技计划:湖南省科技计划, 中药有效成分辨识技术与质量评价研究,卢红梅
卢红梅
湖南省
研究领域：
新材料,石油炼制,石油化工,精细化工,生物医药
研究方向：
[1] 光谱分析与化学计量学
[2] 质谱联用技术与代谢组学研究
[3] 无损分析技术与文物智能保护
[4] 机器学习与化学信息学
[5] 新型样本前处理方法研究
所在单位：
中南大学
