教育经历 1977.4 - 1980.4：华中工学院，大学专科毕业。 1984.9 - 1987.5：华中理工大学，研究生毕业，获硕士学位。 1996.9 - 2000.6：华中科技大学，研究生毕业，获工学博士学位。 工作经历 1980.5 - 1987.9：华中工学院（现华中科技大学）数学系，担任助教。 1987.10 - 1995.5：华中理工大学（现华中科技大学）数学系，担任讲师。 1995.6 - 2002.6：华中科技大学数学系，担任副教授。 2002.7 - 至今：华中科技大学数学与统计学院，担任教授。

逼近与计算 小波分析及其应用 机器学习与人工智能 模式识别与图像处理 时频分析与信号处理

主要从事逼近与计算、机器学习与模式识别等方面的研究工作

[1] Hailiang Ye, Hong Li, Feilong Cao, Liming Zhang. A Hybrid Truncated Norm Regularization Method for Matrix Completion. IEEE Transactions on Image Processing, 28(10):5171–5186, 2019. (Corresponding author, SCI). [2] Hailiang Ye, Hong Li, Bing Yang, Feilong Cao, Yuanyan Tang. A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, 57(7): 4457-4469, 2019. (Corresponding author, SCI). [3] Huizhen Li, Hong Li, Liming Zhang. Quaternion-Based Multiscale Analysis for Feature Extraction of Hyperspectral Images. IEEE Transactions on Signal Processing, 67(6):1418–1430, 2019. (Corresponding author, SCI). [4] Hongfeng Li, Hongkai Zhao, Hong Li. Neural-Response-Based Extreme Learning Machine for Image Classification. IEEE Transactions on Neural Networks & Learning Systems, 30(2):539-552, 2019. (Corresponding author, SCI). [5] Hong Li, Yalong Song and C. L. Philip Chen. Hyperspectral Image Classification based on Multiscale Spatial Information Fusion. IEEE Transactions on Geoscience and Remote Sensing,55(9): 5302-5312，2017. (SCI). [6] Zhijing Ye, Hong Li, Yalong Song, J. A. Benediktsson, and Yuanyan Tang. Hyperspectral Image Classification Using Principal Components-Based Smooth Ordering and Multiple 1-D Interpolation. IEEE Transactions on Geoscience and Remote Sensing, 55(2): 1199-1209, 2017. (SCI). [7] Yalong Song, Hong Li, Huizhen Li and Yaotao Wei. Local One-dimeasional Embedding Interpolation for Hyperspectral Image Classification. IEEE International Conference on Systems, Man, and Cybernetics. Budapest, Hungary, 001034-001039, 2016. (EI). [8] Chengyong Zheng, Hong Li, Qiong Wang, and C. L. Philip Chen. Reweighted Sparse Regression for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, 54(1): 479-488, 2016. (SCI). [9] Yantao Wei, Xinge You, and Hong Li. Multiscale patch-based contrast measure for small infrared target detection. Pattern Recognition, 58: 216-226, 2016. (SCI). [10] Zhijing Ye, Hong Li, Yalong Song, Jianzhong Wang, and J. A. Benediktsson. A novel semi-supervised learning framework for hyperspectral image classification. International Journal of Wavelets, Multiresolution and Information Processing, 14: 1640005, 2016. (SCI).