1. Dazhuang Wang, Liaoying Zhao, Huaguo Zhang, et al., On Optimal Imaging Angles in Multi-Angle Ocean Sun Glitter Remote-Sensing Platforms to Observe Sea Surface Roughness, Sensors 2019, 19(10), 2268
2. L. Ren, L. Zhao, Y. Wang. "Superpixel Based Local RX for Hyperspectral Anomaly detection," IEEE Geoscience and Remote Sensing Letters, 2019, early access.
3.Zhao Liaoying，Lin Weijun,Wang Yulei, Li Xiaorun, Recursive local summation of RX detection for hyperspectral image using sliding windows, Remote Sensing, 2018, 10(1):103.
4.Zhao Liaoying, Lin Weijun, Wang Yulei, Li Xiaorun, Non-casual Real-time RXD Detection for Hyperspectral Imagery Based on Sliding Array, Guangzi Xuebao/Acta Photonica Sinica, 2018,47(7): 24-35.
5.X. Li, W. Zhang, S. Niu, Z. Cao and L. Zhao, "Kernel-OPBS Algorithm: A Nonlinear Feature Selection Method for Hyperspectral Imagery," IEEE Geoscience and Remote Sensing Letters, 2019, early access.
6.R. Huang, X. Li and L. Zhao, "Spectral–Spatial Robust Nonnegative Matrix Factorization for Hyperspectral Unmixing," IEEE Transactions on Geoscience and Remote Sensing, 57(10): 8235-8254, Oct. 2019.
7. Xia, X. Li, L. Zhao and R. Shu, "Infrared Small Target Detection Based on Multiscale Local Contrast Measure Using Local Energy Factor," IEEE Geoscience and Remote Sensing Letters, 2019, early access.
8.Han Yang, Xiaorun Li, Liaoying Zhao and Shuhan Chen, A Novel Coarse-to-Fine Scheme for Remote Sensing Image Registration Based on SIFT and Phase Correlation, Remote Sens. 2019, 11(15), 1833.
9.Wenqiang Zhang, Xiaorun Li and Liaoying Zhao, Discovering the Representative Subset with Low Redundancy for Hyperspectral Feature Selection, Remote Sens. 2019, 11(11), 1341.
10.Risheng Huang, Xiaorun Li, Haiqiang Lu, Jing Li and Liaoying Zhao, Parameterized Nonlinear Least Squares for Unsupervised Nonlinear Spectral Unmixing, Remote Sens. 2019, 11(2), 148.
11.Chaoqun Xia,Xiaorun Li andLiaoying Zhao，Infrared Small Target Detection via Modified Random Walks， Remote Sens. 2018, 10(12), 2004.
12.Wenqiang Zhang, Xiaorun Li, Liaoying Zhao, “A Fast Hyperspectral Feature Selection Method Based on Band Correlation Analysis” IEEE Geoscience and Remote Sensing Letters, 2018，15(11)：1750-1754
13.Wenqiang Zhang, Xiaorun Li, Yaxing Dou, Liaoying Zhao, “A Geometry –based Band Selection Approach for Hyperspectral Image Analysis”,IEEE Transactions on Geoscience and Remote Sensing, 2018 , 56(8): 4318-4333
14.Risheng Huang, Xiaorun Li, Liaoying Zhao, “Hyperspectral Unmixing Based on Incremental Kernel Nonnegative Matrix Factorization”, IEEE Transactions on Geoscience and Remote Sensing, 2018,56(11):6645-6662.
15.Wenqiang Zhang, Xiaorun Li, Liaoying Zhao, “Band Priority Index: A Feature Selection Framework for Hyperspectral Imagery”,Remote Sensing, 2018, 10(7), 1095
16.Wenqiang Zhang, Xiaorun Li, Yaxing Dou, Liaoying Zhao, “Fast linear-prediction-based band selection method for hyperspectral image analysis” J. Appl. Remote Sens. 2018，12(1), 016027
17.Shuhan Chen, Xiaorun Li, Han Yang, Liaoying Zhao, "Robust local feature descriptor for multisource remote sensing image registration," J. Appl. Remote Sens, 2018, 12(1), 015005.
18.Shuhan Chen, Xiaorun Li, Liaoying Zhao, Han Yang. Medium-low resolution multisource remote sensing image registration based on SIFT and robust regional mutual information. International Journal of Remote Sensing, 2018,39(10):3215-3242
19.Lin Weijun, Zhao Liaoyig, Li Xiaorun, Real-time Sub-pixel Object Detection for Hyperspectral Image Based on Pixel-by-pixel Processing, Computer Science , 2018, 45(06): 259-264.
20.Jiang Zite, Zhao Liaoying, Zhou Jialin, Spectral unmixing parallel computing of nonnegative matrix decomposition based on Fan model, Computer Applications and Software, 2017，34(12): 96-100.
21.Zhou Jialin, Zhao Liaoying, Li Xiaorun, Chen Xiaofen, CUDA parallel realization of simplex growing algorithm for endmember extraction, Computer Engineering and Design, 2017, (11): 3179-3184.
22.Zhao Liaoying, Chen Xiaofen, Li Xiaorun, Hyperspectral change detection based on change vector analysis and spectral unmixing, Journal of Zhejiang University. Engineering Science, 2017, 51(10):1912-1919.
23.Zhao Liaoying, Fan Mingyang, Li Xiaorun, Chen Chen, Sub-pixel mapping of hyperspectral imagery based on object optimization , Journal of Image and Graphics, 2016，21(6): 823-833
24. Liaoying Zhao,Mingyang Fan，Xiaorun Li，Lijiao Wang. Fast Implementation of Linear and Nonlinear Simplex Growing Algorithm for Hyperspectral Endmember Extraction. Optik,2015，126，4072-4077
25.Zhao Liao-Ying Lü Bu-Yun Li Xiao-Run Chen Shu-Han，Multi-source remote sensing image registration based on scale-invariant feature transform and optimization of regional mutual information, Acta Physica Sinica, 2015, 64, 124204.
26.Zhao Liaoying, Li Fujie, Li Xiaorun, Local Tangent Space Alignment Algorithm of Generalized Improvement, Computer Engineering, 2014, 40(11):160-166.
27.Zhao Liaoying, Zheng Junpeng, Li Xiaorun,Wang Lijiao, Kernel simplex growing algorithm for hyperspectral endmember extraction[J], Journal of Applied Remote Sensing, 2014, Vol.8, 083594-1-15.
28.Zheng Junpeng, Zhao Liaoying. Parallel Computing of Virtual Dimension of Hyperspectral Images Based on CUDA, Journal of Hangzhou Dianzi University, 2014，34(6):56-60.
29.Zhao Liaoying, Zheng Junpeng, Li Xiaorun, Zhou Yang，Band Selection for Hyperspectral Images Based on SNR Estimation and Information Measure Index, Journal of Computational Information system,2013, 9(23): 9573-9582.
30.Zhao Bing, Zhao Liaoying, The realization of moor-penrose inverse based on FPGA, , Journal of Hangzhou Dianzi University, 2013，33(2): 17-20
31.Zhao Liaoying, Ma Qiliang, Li Xiaorun. Multi-spectral and panchromatic image fusion based on HIS-wavelet transform and MOPSO algorithm, Acta Phys. Sin. Vol. 61, No. 19 (2012) 194204.
32.Zhao Liaoying, Shen Yinhe, Li Xiaorun, Cui Jiantao. Composite Kernel Target Detection Based on Mathematical Morphology for Hyperspectral Imagery, Acta Optica Sinica, 2011,3(12): 1228003
33.Zhao Liaoying, Zhang Kai, Li Xiaorun. Kernel Signature Space Orthogonal Projection for Target Detection in Hyperspectral Imagery. Journal of Remote Sensing, 2011, 15(1):13-28 .
1. Jiang, Zite, Qin, Feiwei; Zhao, Liaoying, A Phoneme Sequence Driven Lightweight End-To-End Speech Synthesis Approach, Journal of Physics: Conference Series, 2019 3rd International Conference on Artificial Intelligence, Automation and Control Technologies, AIACT 2019 , vol.1267, no. 1, July 17, 2019.
2. Zhaoxin Liu， Liaoying Zhao， Xiaorun Li，” Subpixel mapping of hyperspectral image based on linear subpixel feature detection and object optimization”, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS , 2018, 42(3): 2067-2071. 2018.5.7-5.10.
3. Ruimin Li, Liaoying Zhao, Xiaorun Li, Band selection for hyperspecral imagery based on particle swarm optimization，The 2015 8th International Congress on Image and Signal Processing，Shenyang, P.R. China，2015.10.14-2015.10.18
4. Buyun Lv, Liaoying Zhao, Xiaorun Li, Remote sensing image registration using SIFT and vegetation index analysis，The 2014 7th International Congress on Image and Signal Processing ，Dalian, P.R. China，2014.10.22-2014.10.25
5． Zheng Junpeng, Zhao Liaoying, Li XIaourn，GPU-based acceleration of the hyperspectral band selection by SNR estimation using wavelet transform，2014 SPIE Proc on Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V，Beijing，P.R. China，2014.10.14-10.16.
6．Liaoying Zhao，Chein-I Chang，Shih-Yu Chen，Chao-Cheng Wu，Mingyang Fan, Endmember-specified virtual dimensionality in hyperspectral imagery, 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.3466,3469, Quebec，Canada，2014.7.13-2014.7.18