Abstract:

Dr. Yan Song, Assistant Professor in Institute of Marine Science and Technology, Shandong University, China. Her research interests focus on marine sonar data processing and fault diagnosis based on machine learning. She has more than 10 publications now.

Experiences:

Ph.D., Ocean University of China (2018)

Research Interests:

Sonar image segmentation; fault diagnosis

Selected Publications：

1. Song Y, Zhang S, He B*, et al. Gaussian derivative models and ensemble extreme learning machine for texture image classification[J]. Neurocomputing, 2018, 277: 53-64.

2. Song Y, He B*, Zhao Y, et al. Segmentation of Side Scan Sonar Imagery Using Markov Random Fields and Extreme Learning Machine[J]. IEEE Journal of Oceanic Engineering, 2018, pp(99): 1-10.

3. He B*#, Song Y#, Zhu Y, et al. Local receptive fields based extreme learning machine with hybrid filter kernels for image classification[J]. Multidimensional Systems & Signal Processing, 2018(3):1-21.

4. Song Y, He B*, Zhang L, et al. Side-scan sonar image registration based on modified phase correlation for AUV navigation[C]//OCEANS 2016-Shanghai. IEEE, 2016: 1-4.

5. Song Y, He B*, Shen Y, et al. Side Scan Sonar Segmentation Using Deep Convolutional Neural Network[C]//OCEANS 2017-Anchorage. IEEE, 2017: 1-4.

6. Zhang H G, Wu L*, Song Y, et al. An Online Sequential Learning Non-parametric Value-at-Risk Model for High-Dimensional Time Series[J]. Cognitive Computation, 2017: 1-14.

7. Sha Q, Song Y, Guo J, et al. Classification and mosaicking of side scan sonar image[C]//OCEANS 2017-Aberdeen. IEEE, 2017: 1-4.

8. Zhu M, Song Y, Guo J, et al. Side-scan sonar image segmentation based on gray level co-occurrence matrices and unsupervised extreme learning machine[C]//OCEANS 2017-Aberdeen. IEEE, 2017: 1-4.

9. Ding G, Song Y, Guo J, et al. Side-scan sonar image segmentation using Kernel-based Extreme Learning Machine[C]//Underwater Technology (UT), 2017 IEEE. IEEE, 2017: 1-5.

10. Zhu M, Song Y, Guo J, et al. PCA and Kernel-based extreme learning machine for side-scan sonar image classification[C]//Underwater Technology (UT), 2017 IEEE. IEEE, 2017: 1-4.

E-mail: songyan314@126.com