第一作者/通讯作者部分代表性论文：（近五年）

1. Self-Paced Learning-Based Probability Subspace Projection for Hyperspectral Image Classification. IEEE Transactions on Neural Networks and Learning Systems. doi: 10.1109/TNNLS.2018.2841009, 2018
2. Deep Sparse Tensor Filtering Network (DSTFN) for Synthetic Aperture Radar (SAR) Images Classification. IEEE Transactions on Neural Networks and Learning Systems.doi: 10.1109/TNNLS.2017.2688466, 2018
3. Learning Low-Rank Decomposition for Pan-Sharpening With Spatial-Spectral Offsets. IEEE Transactions on Neural Networks and Learning Systems. doi: 10.1109/TNNLS.2017.2736011, 2018
4. Pansharpening via Deep Metric Learning. International Society for Photogrammetry and Remote Sensing. 2018
5. Hybrid Probabilistic Sparse Coding With Spatial Neighbor Tensor for Hyperspectral Imagery Classification. IEEE Transactions on Geoscience and Remote Sensing. 2018
6. New Hierarchical Saliency Filtering for Fast Ship Detection in High-Resolution SAR Images. IEEE Transactions on Geoscience and Remote Sensing. 2017
7. Multispectral and Hyperspectral Image Fusion Based on Group Spectral Embedding and Low-Rank Factorization. IEEE Transactions on Geoscience and Remote Sensing.2017
8. Compressive Hyperspectral Imaging via Sparse Tensor and Nonlinear Compressed Sensing. IEEE Transactions on Geoscience and Remote Sensing..2016
9. Dual-Geometric Neighbor Embedding for Image Super Resolution With Sparse Tensor. IEEE Transactions on Image Processing. 2014
10. Image Noise Reduction via Geometric Multiscale Ridgelet Support Vector Transform and Dictionary Learning. IEEE Transactions on Image Processing. 2013
11. Single-Image Super-Resolution Reconstruction via Learned Geometric Dictionaries and Clustered Sparse Coding. IEEE Transactions on Image Processing. 2012
12. Semisupervised Dual-Geometric Subspace Projection for Dimensionality Reduction of Hyperspectral Image Data. IEEE Transactions on Geoscience and Remote Sensing.2014
13. Unsupervised images segmentation via incremental dictionary learning based sparse representation. Information Sciences.2014 
14. Fusion of multispectral and panchromatic images based on support value transform and adaptive principal component analysis. Information Fusion. 2012
15. Sparse Spatial-Spectral LapSVM With Semisupervised Kernel Propagation for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2017.
16. Superpixel Tensor Sparse Coding for Structural Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2017.
17. Fusion of Panchromatic and Multispectral Images via Coupled Sparse Non-Negative Matrix Factorization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016.
18. Curvelet Support Value Filters (CSVFs) for image super-resolution. Neurocomputing. 2016.
19. Incremental Semi-Supervised classification of data streams via self-representative selection. Applied Soft Computing. 2016
20. Fuzzy Signature-Based Discriminative Subspace Projection for Hyperspectral Data Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016.
21. SpectralSpatial KerSparseBands Selector. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016.
22. Sparse Robust Filters for scene classification of Synthetic Aperture Radar (SAR) images. Neurocomputing. 2016.
23. Hierarchical Representation Learning based spatio-temporal data redundancy reduction. Neurocomputing. 2016.
24. Saliency generation from complex scene via digraph and Bayesian inference. Neurocomputing. 2016.

合作出版专著：

1. 焦李成，赵进，杨淑媛等.   《深度学习、优化与识别》. 清华大学出版社.2017
2. 焦李成，尚荣华, 刘芳, 杨淑媛,   侯彪等.   《稀疏学习、分类与识别》. 科学出版社, 2017
3. 焦李成，尚荣华, 刘芳, 杨淑媛,   侯彪等.  《认知计算与多目标优化》 . 科学出版社, 2017
4. 焦李成，侯彪，尚荣华，杨淑媛等. 《智能SAR影像变化检测》  . 科学出版社,2017
5. 焦李成，冯婕，刘芳，杨淑媛等.   《高分辨遥感影像学习与感知》 . 科学出版社,2017
6. 焦李成，杨淑媛.  《自适应多尺度网络理论与应用》, 科学出版社.2008

以第一发明人授权专利：

1. 基于对偶稀疏非负矩阵分解的多光谱与全色图像融合方法.    ZL201510292853.1
2. 基于特征融合和聚类的高分辨SAR图像快速舰船检测方法.   ZL201410234205.6
3. 基于近邻边界最大的半监督高光谱数据降维方法.     ZL201410213709.X
4. 一种基于层次化稀疏建模的图像显著性检测方法.  ZL201410499111.1
5. 一种基于修正聚类假设和半监督极速学习机的高光谱地物分类方法.   ZL201410062329.0
6. 一种基于可控核的双几何非局部均值图像去噪方法.    ZL201410060377.6
7. 基于RGB-D图像的太极拳智能辅助训练系统.   ZL201520986765.7
8. 基于稀疏多流行嵌入的超分辨率图像重构方法.  ZL201310733234.2
9. 基于CFAR和稀疏表示的高分辨SAR图像舰船舰船方法.    ZL201310280179.6
10. 基于LRR图的半监督学习人脸识别方法.    ZL201210387089.2
11. 基于Toeplitz矩阵观测和字典学习的数码相机压缩成像方法.     ZL201310098251.3
12. 基于结构自相似性与稀疏表示的超分辨率图像重构方法.     ZL201310426295.4
13. 基于局部一致性的遥感影像半监督投影降维.     ZL201210366079.0
14. 基于压缩感知的空谱域联合恢复高光谱数据的方法.     ZL201310277891.0
15. 基于压缩感知的多光谱与全色图像超分辨融合方法.     ZL201210001721.5
16. 基于结构字典的分块图像压缩感知重建方法.   ZL201210155980.3
17. 基于AIC压缩信息获取和FBMP的雷达目标参数估计方法.     ZL201110199223.1
18. 基于稀疏核编码SKR的高光谱图像地物识别方法.    ZL201110260639.X
19. 基于核回归的图像压缩感知重构方法.    ZL201110268034.5
20. 基于多任务KSVD字典学习的图像超分辨率重构方法 .    ZL201110074133.X
21. 利用稀疏表示与字典学习进行图像分割的方法 . ZL201110059196.8
22. 基于多尺度显著图的自适应图像压缩采样方法.     ZL201110161084.3
23. 基于支撑值变换和多尺度冗余字典学习的自然图像去噪方法.    ZL201110102860.2
24. 基于字典学习和块匹配的自然图像去噪算方法. ZL201110102644.8
25. 基于压缩学习感知的SAR高分辨图像重建方法. ZL201110074477.0
26. 基于双冗余字典学习的自然图像去噪方法.    ZL201110022523.2
27. 基于KSVD字典学习的多任务超分辨率图像重构方法.    ZL201010267446.2
28. 基于自适应多尺度Bandelet包的SAR图像去噪压缩方法.     ZL200810232708.4