李 伟

教 授

出生年月：1985年02月

办公电话：010-68918217

电子邮件：liw@bit.edu.cn

所在学科

信息与通信工程

研究方向

高光谱图像处理、目标检测与识别

个人简历

2019.03 至今：任职于 麻痘miya忘忧草一区 麻痘miya忘忧草一区

2013.06-2019.02：任职于 北京化工大学 信息科学与技术学院 教授

2012.06-2013.05：任职于 加州大学戴维斯分校 空间技术与遥感中心 博士后

2009.09-2012.05：就读于 密西西比州立大学 信号与信息处理专业 博士

2007.09-2009.07：就读于 中山大学 信号与信息处理专业 硕士

2003.09-2007.07：就读于 西安电子科技大学 通信工程专业 本科

代表性学术成果

国家优秀青年科学基金、北京市杰出青年基金获得者，入选北京市科技新星计划。以第一/通讯作者在IEEE TGRS、IEEE TIP、IEEE TCYB等期刊发表论文60余篇，谷歌学术引用7000余次，ESI高被引论文14篇，部分代表性论文如下：

[1] J. Liu, Z. Hou, W. Li*, R. Tao, D. Orlando, and H. Li,“Multi-Pixel Anomaly Detection With Unknown Patterns for Hyperspectral Imagery,”IEEE Transactions on Neural Network and Learning Systems, in print, 2021.

[2] L. Li, W. Li*, C. Zhao, Y. Du, R. Tao, and Q. Du,“Prior-Based Tensor Approximation for Anomaly Detection in Hyperspectral Imagery,”IEEE Transactions on Neural Network and Learning Systems, in print, 2021.

[3] L. Li, W. Li*, Q. Du, and R. Tao,“Low-Rank and Sparse Decomposition with Mixture-of-Gaussian for Hyperspectral Anomaly Detection,”IEEE Transactions on Cybernetics, in print, 2021.

[4] Z. Huang, W. Li*, X. Xia, H. Wang, F. Jie, and R. Tao,“LO-Det: Lightweight Oriented Object Detection in Remote Sensing Images,”IEEE Transactions on Geoscience and Remote Sensing, in print, 2021.

[5] Z. Huang, W. Li*, X. Xia, X. Wu, Z. Cai, and R. Tao,“A Novel Nonlocal-Aware Pyramid and Multi-Scale Multi-Task Refinement Detector for Object Detection in Remote Sensing Images,”IEEE Transactions on Geoscience and Remote Sensing, in print, 2021.

[6] M. Zhao, W. Li*, L. Li, P. Ma, Z. Cai, and R. Tao,“Three-Order Tensor Creation and Tucker Decomposition for Infrared Small-Target Detection,”IEEE Transactions on Geoscience and Remote Sensing, in print, 2021.

[7] M. Zhao, L. Li, W. Li*, R. Tao, L. Li, and W. Zhang,“Infrared Small-Target Detection Based on Multiple Morphological Profiles,”IEEE Transactions on Geoscience and Remote Sensing, in print, 2021.

[8] M. Lv, W. Li*, T. Chen, J. Zhou, and R. Tao,“Discriminant Tensor-Based Manifold Embedding for Medical Hyperspectral Imagery,”IEEE Journal of Biomedical and Health Informatics, in print, 2021.

[9] M. Lv, W. Li*, R. Tao, N. H. Lovell, Y. Yang, T. Tu, and W. Li,“Spatial-Spectral Density Peaks-Based Discriminant Analysis for Membranous Nephropathy Classification Using Microscopic Hyperspectral Images,”IEEE Journal of Biomedical and Health Informatics, in print, 2021.

[10] Y. Zhang, W. Li*, R. Tao, J. Peng, Q. Du, and Z. Cai,“Cross-Scene Hyperspectral Image Classification with Discriminative Cooperative Alignment,”IEEE Transactions on Geoscience and Remote Sensing, in print, 2021.

[11] N. Liu, L. Li, W. Li*, R. Tao, J. E. Fowler, and J. Chanussot,“Hyperspectral Restoration and Fusion with Multispectral Imagery via Low-Rank Tensor Approximation,”IEEE Transactions on Geoscience and Remote Sensing, in print, 2021.

[12] X. Zhao, R. Tao*, W. Li, H. Li, Q. Du, W. Liao, and W. Philips,“Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture,”IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 10, pp. 7355-7370, October 2020.

[13] X. Wu, W. Li*, D. Hong, J. Tian, R. Tao, and Q. Du,“Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network,”ISPRS Journal of Photogrammetry and Remote Sensing, vol. 167, pp. 39-53, September 2020.

[14] Y. Zhang, W. Li*, H. Li, R. Tao, and Q. Du,“Discriminative Marginalized Least Squares Regression for Hyperspectral Image Classification,”IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 5, pp. 3148-3161, May 2020.

[15] J. He, L. Zhao*, H. Yang, M. Zhang, and W. Li*,“HSI-BERT: Hyperspectral Image Classification Using Bidirectional Encoder Representation from Transformers,”IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 1, pp. 165-178, January 2020.

[16] Q. Huang, W. Li*, B. Zhang, Q. Li, R. Tao, and N. H. Lovell,“Blood Cell Classification Based on Hyperspectral Imaging with Modulated Gabor and CNN,”IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 1, pp. 160-170, January 2020.　

[17] M. Zhang, W. Li*, Q. Du, L. Gao, and B. Zhang,“Feature Extraction for Classification of Hyperspectral and LiDAR Data Using Patch-to-Patch CNN,”IEEE Transactions on Cybernetics, vol. 50, no. 1, pp. 100-111, January 2020.

[18] N. Liu, W. Li*, R. Tao, and J. E. Fowler,“Wavelet-Domain Low-Rank/Group-Sparse Destriping for Hyperspectral Imagery,”IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 12, pp. 10310-10321, December 2019.

[19] W. Li, Y. Zhang, N. Liu, Q. Du, and R. Tao,“Structure-Aware Collaborative Representation for Hyperspectral Image Classification,”IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 9, pp. 7246-7261, September 2019.

[20] M. Zhang, W. Li*, and Q. Du, “Diverse Region-Based CNN for Hyperspectral Image Classification,”IEEE Transactions on Image Processing, vol. 27, no. 6, pp. 2623-2634, June 2018.

荣誉奖励

[1] Best Reviewer Award for IEEE Transactions on Geoscience and Remote Sensing（TGRS）

[2] 2020年北京市本科毕业设计优秀指导教师，2020

[3] Excellent Paper Award, IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019

[4] Outstanding Paper Award, IEEE International Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (Whispers), 2019

[5] 北京市科技新星计划, 2017

[6] Best Reviewer Award for IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2016

学术兼职及其他

[1] 2020年12月至今，担任《中国图象图形学报》青年编委

[2] 2020年6月至今，担任IEEE Transactions on Geoscience and Remote Sensing领域编委（Topical Associate Editor）

[3] 2019年3月至今，担任IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing编委（Associate Editor）

[4] 2018年1月至今，担任IEEE Signal Processing Letters编委（Associate Editor）

[5] 第11届IEEE CISP-BMEI国际学术会议大会主席