李 伟 电话：010-68918217
教授、博士生导师、副院长 邮箱：liw@bit.edu.cn (liwei089@ieee.org)
北京理工大学信息与电子学院 地址：北京理工大学信息科学实验楼
李伟，北京理工大学信息与电子学院教授、博士生导师、副院长，国家优秀青年科学基金、北京市杰出青年科学基金获得者。入选IET Fellow、科睿唯安全球高被引科学家等。主要从事高光谱图像信息提取、目标检测与识别等方向研究。以第一/通讯作者在IEEE TPAMI、TIP、TNNLS等期刊发表论文100余篇，谷歌学术引用2万余次。担任IEEE TGRS、电子学报（英文）等期刊编委。获教育部自然科学二等奖、北京市自然科学一等奖、中国电子学会自然科学一等奖等。
[37] H. Wang, W. Li*, X. Xia, and Q. Du,“Causal HyperPrompter: A Framework for Unbiased Hyperspectral Camouflaged Object Tracking,”IEEE Transactions on Pattern Analysis and Machine Intelligence, in print, 2026.
[36] B. Zhao, W. Li*, J. Wang, Y. Zhang, H. Yang, H. Zhao, R. Tao, and Q. Du,“Alliance: All-in-One Spectral-Spatial-Frequency Awareness Foundation Model,”IEEE Transactions on Pattern Analysis and Machine Intelligence, in print, 2026.
[35] W. Li, B. Zhao, M. Zhang, Y. Gao, and J. Wang,“Single-Source Domain Defect-Aware Adaptation and Style-Modulated Generalization Network for Multispectral Image Segmentation,”IEEE Transactions on Cybernetics, in print, 2026.
[34] Y. Li and W. Li*,“Few-Shot Fine-Grained Classification with Foreground-Aware Kernelized Feature Reconstruction Network,”IEEE Transactions on Image Processing, in print, 2026.
[33] Y. Wang, W. Li*, Y. Gui, Q. Du, and J. E. Fowler,“A Generalized Tensor Formulation for Hyperspectral Image Super-Resolution Under General Spatial Blurring,”IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 47, no. 6, pp. 4684-4698, June 2025.
[32] G. Qin, H. Liu, W. Li*, X. Zhang, Y. Guo, and X. Xia,“UFPF: A Universal Feature Perception Framework for Microscopic Hyperspectral Images,”IEEE Transactions on Image Processing, vol. 34, pp. 5513-5526, 2025.
[31] G. Qin, H. Liu, X. Zhang, W. Li*, Y. Guo, and C. Guo,“Semi-Supervised Medical Hyperspectral Image Segmentation Using Adversarial Consistency Constraint Learning and Cross Indication Network,”IEEE Transactions on Image Processing, vol. 34, pp. 5414-5428, 2025.
[30] H. Wang, W. Li*, X. Xia, Q. Du, and J. Tian,“SSF-Net: Spatial-Spectral Fusion Network with Spectral Angle Awareness for Hyperspectral Object Tracking,”IEEE Transactions on Image Processing, vol. 34, pp. 3518-3532, 2025.
[29] Y. Wang, W. Li*, Y. Gui, H. Xie, and L. Zhang,“A Generalized Non-Convex Surrogated Framework for Anomaly Detection on Blurred Hyperspectral Images,”IEEE Transactions on Image Processing, vol. 34, pp. 3108-3122, 2025.
[28] Z. Xiong, W. Li*, X. Zhao, B. Zhang, R. Tao, and Q. Du,“PRF-Net: A Progressive Remote Sensing Image Registration and Fusion Network,”IEEE Transactions on Neural Network and Learning Systems, vol. 36, no. 5, pp. 9437-9450, May 2025.
[27] H. Liu, W. Li*, X. Xia, M. Zhang, Z. Guo, and L. Song,“SegHSI: Semantic Segmentation of Hyperspectral Images With Limited Labeled Pixels,”IEEE Transactions on Image Processing, vol. 33, pp. 6469-6482, 2024.
[26] Y. Gao, W. Li*, J. Wang, M. Zhang, and R. Tao,“Relationship Learning from Multisource Images via Spatial-spectral Perception Network,”IEEE Transactions on Image Processing, vol. 33, pp. 3271-3284, 2024.
[25] J. Wang, W. Li*, Y. Wang, R. Tao, and Q. Du,“Representation-Enhanced Status Replay Network for Multisource Remote-Sensing Image Classification,”IEEE Transactions on Neural Network and Learning Systems, vol. 35, no. 11, pp. 15346-15358, November 2024.
[24] Y. Wang, W. Li*, N. Liu, Y. Gui, and R. Tao,“FuBay: An Integrated Fusion Framework for Hyperspectral Super-resolution Based on Bayesian Tensor Ring,”IEEE Transactions on Neural Network and Learning Systems, vol. 35, no. 10, pp. 14712-14726, October 2024.
[23] M. Zhang, X. Zhao, W. Li*, Y. Zhang, R. Tao, and Q. Du,“Cross-Scene Joint Classification of Multisource Data with Multilevel Domain Adaptive Network,”IEEE Transactions on Neural Network and Learning Systems, vol. 35, no. 8, pp. 11514-11526, August 2024.
[22] Y. Zhang, W. Li*, M. Zhang, S. Wang, R. Tao, and Q. Du,“Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification,”IEEE Transactions on Neural Network and Learning Systems, vol. 35, no. 12, pp. 1912-1925, February 2024.
[21] H. Liu, W. Li*, X. Xia, M. Zhang, C. Gao, and R. Tao,“Central Attention Network for Hyperspectral Imagery Classification,”IEEE Transactions on Neural Network and Learning Systems, vol. 34, no. 11, pp. 8989-9003, November 2023.
[20] W. Li, Y. Gao, M. Zhang, R. Tao, and Q. Du,“Asymmetric Feature Fusion Network for Hyperspectral and SAR Image Classification,”IEEE Transactions on Neural Network and Learning Systems, vol. 34, no. 10, pp. 8057-8070, October 2023.
[19] Y. Zhang, W. Li*, M. Zhang, Y. Qu, R. Tao, and H. Qi,“Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification,”IEEE Transactions on Neural Network and Learning Systems, vol. 34, no. 6, pp. 2817-2830, June 2023. [Demo code]
[18] M. Zhang, W. Li*, Y. Zhang, R. Tao, and Q. Du,“Hyperspectral and LiDAR Data Classification Based on Structural Optimization Transmission,”IEEE Transactions on Cybernetics, vol. 53, no. 5, pp. 3153-3164, May 2023.
[17] Y. Zhang, W. Li*, W. Sun, R. Tao, and Q. Du,“Single-Source Domain Expansion Network for Cross-Scene Hperspectral Image Classification,”IEEE Transactions on Image Processing, vol. 32, pp. 1498-1512, February 2023.
[16] J. Liu, Z. Hou, W. Li*, R. Tao, D. Orlando, and H. Li,“Multipixel Anomaly Detection With Unknown Patterns for Hyperspectral Imagery,”IEEE Transactions on Neural Network and Learning Systems, vol. 33, no. 10, pp. 5557-5567, October 2022. [Matlab code]
[15] L. Li, W. Li*, Y. Qu, C. Zhao, R. Tao, and Q. Du,“Prior-Based Tensor Approximation for Anomaly Detection in Hyperspectral Imagery,”IEEE Transactions on Neural Network and Learning Systems, vol. 33, no. 3, pp. 1037-1050, March 2022. [Matlab code]
[14] Z. Huang, W. Li*, X. Xia, and R. Tao,“A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection,”IEEE Transactions on Image Processing, vol. 31, pp. 1895-1910, February 2022. [Demo code]
[13] 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, vol. 51, no. 9, pp. 4363-4372, September 2021. [Matlab code]
[12] 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.
[11] 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. [Matlab code]
[10] 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. [Demo code]
[9] W. Li, G. Wu, F. Zhang, and Q. Du, “Hyperspectral Image Classification Using Deep Pixel-Pair Features,”IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 2, pp. 844-853, February 2017. [Matlab code]
[8] W. Li and Q. Du, “Laplacian Regularized Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery,”IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 12, pp. 7066-7076, December 2016.
[7] W. Li, J. Liu, and Q. Du, “Sparse and Low Rank Graph Discriminant Analysis for Hyperspectral Image Classification,”IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 7, pp. 4094-4105, July 2016. [Matlab code]
[6] W. Li, C. Chen, H. Su, and Q. Du, “Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification,”IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 7, pp. 3681-3693, July 2015. [Matlab code]
[5] W. Li and Q. Du, “Collaborative Representation for Hyperspectral Anomaly Detection,”IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 3, pp. 1463-1474, March 2015. [Matlab code]
[4] W. Li, S. Prasad, and J. E. Fowler, “Decision Fusion in Kernel-Induced Spaces for Hyperspectral Image Classification,”IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 6, pp. 3399-3411, June 2014. [Matlab code]
[3] W. Li, E. W. Tramel, S. Prasad, and J. E. Fowler, “Nearest Regularized Subspace for Hyperspectral Classification,”IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 1, pp. 477-489, January 2014. [Matlab code]
[2] W. Li, S. Prasad, and J. E. Fowler, “Classification and Reconstruction from Random Projections for Hyperspectral Imagery,”IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 2, pp. 833-843, February 2013. [Matlab code]
[1] W. Li, S. Prasad, J. E. Fowler, and L. Bruce, “Locality Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis,”IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 4, pp. 1185-1198, April 2012. [Matlab code]
[7] 2021年6月至今，担任IEEE Transactions on Geoscience and Remote Sensing编委
[6] 2021年1月至今，担任《北京理工大学学报英文版》编委
[5] 2020年12月至今，担任《中国图象图形学报》青年编委
[4] 2020年6月至2021年5月，担任IEEE Transactions on Geoscience and Remote Sensing领域编委
[3] 2019年3月至2021年5月，担任IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing编委
[2] 2018年1月至2021年12月，担任IEEE Signal Processing Letters编委
[1] 2018年10月，担任第11届IEEE CISP-BMEI国际学术会议大会主席
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