Qingsong Song Associate professor

• Department: Artificial Intelligence and Traffic Information
• Gender: male
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• Career: Associate professor
• Degree: Dr.
• Academic Credentials:
• Graduate School:
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• Email: 50917614@qq.com
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• Education experience:

  Xi'an Jiaotong University, PhD, 2010;
  Xi'an Jiaotong University, Master, 2005;
  North China Electric Power University,bachelor, 2002.

Artificial intelligence, Perception and decision-making of intelligent vehicle

Undergraduate:
Introduction of Artificial intelligence, Artificial intelligence technology;

Graduate:
Statistical machine learning, Deep learning.

1. National Natural Science Foundation of China, 61201406, Advanced reservior neural computing methods and theirs applications in temporal pattern recognition, January 2013-december 2015.

2. China Postdoctoral Science Foundation project, 2013M531998, Key technologies of automatic parking, may 2013-may 2014.

3. China Postdoctoral Science Foundation project, 2019M653516, New method for bridge surface crack detection based on distributed optical fiber sensors, may 2019-may 2021.

4. Open fund of State Key Laboratory of structural dynamics of bridge engineering, research and development of structural vibration measurement system based on machine vision, August 2020-december 2021.

[1]     Qingsong Song, Liming Liu, Na Lu, Yan Zhang, Ravie Chandren Muniyandi, Yisheng An, A three-stage pavement image crack detection framework with positive sample augmentation[J], Engineering Applications of Artificial Intelligence, 2024, Vol. 129, article no. 107624. https://doi.org/10.1016/j.engappai.2023.107624

[2]     Qingsong Song, Wei Yao, Haojiang Tian, Yidan Guo, Ravie Chandren Muniyandi, Yisheng An, Two-stage framework with improved U-Net based on self-supervised contrastive learning for pavement crack segmentation[J], Expert Systems with Applications, 2024, Vol. 238, Part F, article no. 122406. https://doi.org/10.1016/j.eswa.2023.122406

[3]     Qingsong Song, Jinrui Wu, Haolin Wang, Yisheng An, Guangwu Tang, Computer vision-based illumination-robust and multi-point simultaneous structural displacement measuring method[J],Mechanical Systems and Signal Processing, 2022, Vol. 170, article no. 108822. https://doi.org/10.1016/j.ymssp.2022.108822

[4]     Qingsong Song, Guoping Yan, Guangwu Tang, Farhad Ansari, Robust principal component analysis and support vector machine for detection of microcracks with distributed optical fiber sensors[J], Mechanical Systems and Signal Processing, 2021, vol.146, article no.107019. https://doi.org/10.1016/j.ymssp.2020.107019

[5]     Qingsong Song, Yu Chen, Elias Abdoli Oskoui, Zheng Fang, Todd Taylor, Guangwu Tang, Xiangmo Zhao, Farhad Ansari, Micro-crack detection method of steel beam surface using stacked autoencoders on massive full-scale sensing strains[J], Structural Health Monitoring-An International Journal, 2020, vol.19, issue 4, pp. 1175–1187. https://doi.org/10.1177/1475921719879965

[6]     Qingsong Song, Chao Zhang, Guangwu Tang, Farhad Ansari, Deep learning method for detection of structural microcracks by brillouin scattering based distributed optical fiber sensors[J], Smart Materials and Structures, 2020, vol.29, num.7, article no. 075008. https://doi.org/10.1088/1361-665X/ab874e

[7]    Qingsong Song, Elias Abdoli Oskoui, Todd Taylor,Farhad Ansari, Visual saliency–based image binarization approach for detection of surface microcracks by distributed optical fiber sensors[J], Structural Health Monitoring-An International Journal, 2019, vol.18, Issue 5-6, pp. 1590–1601. https://doi.org/10.1177/1475921718797323

[8]     Qingsong Song, Zuren Feng, Effects of connectivity structure of complex echo state network on its prediction performance for nonlinear time series[J]. Neurocomputing, 2010, 73(10-12), 2177-2185. https://doi.org/10.1016/j.neucom.2010.01.015

1. Qingsong Song, Jinrui Wu, Haolin Wang, Yisheng An, Guangwu Tang, Computer vision-based illumination-robust and multi-point simultaneous structural displacement measuring method[J], Mechanical Systems and Signal Processing, 2022, vol.170, article no. 108822. DOI: https://doi.org/10.1016/j.ymssp.2022.108822

2. Qingsong Song, Guoping Yan, Guangwu Tang, Farhad Ansari, Robust principal component analysis and support vector machine for detection of microcracks with distributed optical fiber sensors[J], Mechanical Systems and Signal Processing, 2021, vol.146, article no.107019. DOI: https://doi.org/10.1016/j.ymssp.2020.107019

3. Qingsong Song, Yu Chen, Elias Abdoli Oskoui, Zheng Fang, Todd Taylor, Guangwu Tang, Xiangmo Zhao, Farhad Ansari, Micro-crack detection method of steel beam surface using stacked autoencoders on massive full-scale sensing strains[J], Structural Health Monitoring-An International Journal, 2020, vol.19, issue 4, pp. 1175–1187. DOI: https://doi.org/10.1177/1475921719879965

4. Qingsong Song, Chao Zhang, Guangwu Tang, Farhad Ansari, Deep learning method for detection of structural microcracks by brillouin scattering based distributed optical fiber sensors[J], Smart Materials and Structures, 2020, vol.29, num.7, article no. 075008. DOI: https://doi.org/10.1088/1361-665X/ab874e

5. Qingsong Song, Elias Abdoli Oskoui, Todd Taylor,Farhad Ansari, Visual saliency–based image binarization approach for detection of surface microcracks by distributed optical fiber sensors[J], Structural Health Monitoring-An International Journal, 2019, vol.18, Issue 5-6, pp. 1590–1601. DOI: https://doi.org/10.1177/1475921718797323

6. Qingsong Song, Zuren Feng, Effects of connectivity structure of complex echo state network on its prediction performance for nonlinear time series[J]. Neurocomputing, 2010, 73(10-12), 2177-2185.DOI: https://doi.org/10.1016/j.neucom.2010.01.015

7. Song Qingsong, Wang Xingli, Zhang Chao, et al A Residual SSD Model Based on Window Size Clustering for Traffic Sign Detection[J], JOURNAL OF HUNAN UNIVERSITY (NATURAL SCIENCE EDITION), 2019, Vol.46, No.10, pp.133-140 (in Chinese)

8. Song Qingsong, Zhang Chao, Tian Zhengxin, et al Traffic Sign Recognition Based on Multi-scale Convolutional Neural Network[J] JOURNAL OF HUNAN UNIVERSITY (NATURAL SCIENCE EDITION), 2018, Vol.45, No.8, pp.131-137

9. Song Qingsong, Zhang Chao, Chen Yu, et al Road segmentation using full convolutional neural networks with conditional random fields[J], Journal of Tsinghua University (NATURAL SCIENCE EDITION), 2018, Vol.58, No.8, pp.725-731

10. Song Qingsong, Tian Zhengxin, sun Wenlei, et al Combined Dimension Reduction Method for Isolated Digital Speech Recognition[J], Journal of Xi'an Jiaotong University, 2016, vol.50, no.6, pp. 42-46

11. Song Qingsong, Feng Zuren A New Method to Construct Complex Echo State Networks[J], Journal of Xi'an Jiaotong University, 2009, Vol.43, No.4, pp. 1-4