Lu Meng Associate Research Fellow
Date of birth: January 1989
Office Tel: 010-68918217
E-mail: lvmeng0122@bit.edu.cn

2021.12 till now: School of Information and Electronics, Beijing Institute of Technology
2019.08-2021.11: Postdoctoral Fellow, School of Information and Electronics, Beijing Institute of Technology
2018.06-2019.07: Worked as an engineer in Beijing Aerospace Control Instrument Research Institute
2016.12-2017.12: Studied in Mississippi State University, United States, joint doctoral training in Information and Communication Engineering
2014.09-2018.06: Studied at China Agricultural University, majoring in Operations Research and Management for a doctor's degree
2012.09-2014.06: Master of Applied Mathematics in China Agricultural University

Ai-assisted medical decision/diagnosis, intelligent interpretation of high-dimensional medical images, Medical hyperspectral image processing

2021.12 till now: School of Information and Electronics, Beijing Institute of Technology
2019.08-2021.11: Postdoctoral Fellow, School of Information and Electronics, Beijing Institute of Technology
2018.06-2019.07: Worked as an engineer in Beijing Aerospace Control Instrument Research Institute
2016.12-2017.12: Studied in Mississippi State University, United States, joint doctoral training in Information and Communication Engineering
2014.09-2018.06: Studied at China Agricultural University, majoring in Operations Research and Management for a doctor's degree
2012.09-2014.06: Master of Applied Mathematics in China Agricultural University

2021.12 till now: School of Information and Electronics, Beijing Institute of Technology
2019.08-2021.11: Postdoctoral Fellow, School of Information and Electronics, Beijing Institute of Technology
2018.06-2019.07: Worked as an engineer in Beijing Aerospace Control Instrument Research Institute
2016.12-2017.12: Studied in Mississippi State University, United States, joint doctoral training in Information and Communication Engineering
2014.09-2018.06: Studied at China Agricultural University, majoring in Operations Research and Management for a doctor's degree
2012.09-2014.06: Master of Applied Mathematics in China Agricultural University

He has been engaged in intelligent interpretation and application research of medical hyperspectral images for a long time, and the prototype of disease intelligent auxiliary diagnosis principle based on hyperspectral imaging technology has potential clinical application value and strong scientific and technological achievements transformation potential. He has presided over the National Natural Science Foundation Youth project and the international cooperation project of the Ministry of Science and Technology, participated in a number of national and provincial projects and authorized a number of invention patents. He has published more than 10 SCI papers in IEEE JBHI, BOE and other journals as the first/corresponding author. Some representative works are as follows:
1. Meng Lv, Wei Li*, Tianhong Chen, Jun Zhou and Ran Tao. Discriminant Tensor-based Manifold Embedding for Medical Hyperspectral Imagery, IEEE Journal of Biomedical and Health Informatics, in print, 2021, 25(9): 3517-3528.
2. Meng Lv, Wei Li*, Ran Tao, Nigel H. Lovell, Yue Yang, Tianqi Tu and Wenge Li. Spatial-Spectral Density Peaks-Based Discriminant Analysis for Membranous Nephropathy Classification Using Microscopic Hyperspectral Images, IEEE Journal of Biomedical and Health Informatics, 2021, 25(8): 3041-3051.
3. Meng Lv, Tianhong Chen, Yue Yang, Tianqi Tu, Nianrong Zhang, Wenge Li and Wei Li*. Membranous Nephropathy Classification Using Microscopic Hyperspectral Imaging and Tensor Patch-based Discriminative Linear Regression, Biomedical Optics Express, 2021, 12(5): 2968-2978.
4. Meng Lv, James Fowler* and Ling Jing. Spatial Functional Data Analysis for the Spatial-Spectral Classification of Hyperspectral Imagery, IEEE Geoscience and Remote Sensing Letters, 2019,16(6):942-946.
5. Meng Lv, Qiuling Hou, Naiyang Deng and Ling Jing*. Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery, IEEE Geoscience and Remote Sensing Letters, 2017, 14(4): 569-573.
6. Lu Meng, Chen Tianhong, LI Wei *, Yang Yue, TU Tianqi, LI Wenge. Hyperspectral image tensor embedding analysis in the diagnosis of membranous nephropathy, Chinese Journal of Image and Cartography, 2021, 26(08):1823-1835.


He has been engaged in intelligent interpretation and application research of medical hyperspectral images for a long time, and the prototype of disease intelligent auxiliary diagnosis principle based on hyperspectral imaging technology has potential clinical application value and strong scientific and technological achievements transformation potential. He has presided over the National Natural Science Foundation Youth project and the international cooperation project of the Ministry of Science and Technology, participated in a number of national and provincial projects and authorized a number of invention patents. He has published more than 10 SCI papers in IEEE JBHI, BOE and other journals as the first/corresponding author. Some representative works are as follows:
1. Meng Lv, Wei Li*, Tianhong Chen, Jun Zhou and Ran Tao. Discriminant Tensor-based Manifold Embedding for Medical Hyperspectral Imagery, IEEE Journal of Biomedical and Health Informatics, in print, 2021, 25(9): 3517-3528.
2. Meng Lv, Wei Li*, Ran Tao, Nigel H. Lovell, Yue Yang, Tianqi Tu and Wenge Li. Spatial-Spectral Density Peaks-Based Discriminant Analysis for Membranous Nephropathy Classification Using Microscopic Hyperspectral Images, IEEE Journal of Biomedical and Health Informatics, 2021, 25(8): 3041-3051.
3. Meng Lv, Tianhong Chen, Yue Yang, Tianqi Tu, Nianrong Zhang, Wenge Li and Wei Li*. Membranous Nephropathy Classification Using Microscopic Hyperspectral Imaging and Tensor Patch-based Discriminative Linear Regression, Biomedical Optics Express, 2021, 12(5): 2968-2978.
4. Meng Lv, James Fowler* and Ling Jing. Spatial Functional Data Analysis for the Spatial-Spectral Classification of Hyperspectral Imagery, IEEE Geoscience and Remote Sensing Letters, 2019,16(6):942-946.
5. Meng Lv, Qiuling Hou, Naiyang Deng and Ling Jing*. Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery, IEEE Geoscience and Remote Sensing Letters, 2017, 14(4): 569-573.
6. Lu Meng, Chen Tianhong, LI Wei *, Yang Yue, TU Tianqi, LI Wenge. Hyperspectral image tensor embedding analysis in the diagnosis of membranous nephropathy, Chinese Journal of Image and Cartography, 2021, 26(08):1823-1835.