Qingsong Song Associate professor

• Department: Artificial Intelligence
• Gender: male
• BirthDate:
• Career: Associate professor
• Degree: Dr.
• Academic Credentials: Phd
• Graduate School: Xi an Jiaotong University
• Tel:
• Email: 50917614@qq.com
• Address School: Shangyuan Road, Weiyang District, Xian
• PostCode School: 710018
• Fax School:
• Office Location: #343
• Education experience:

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

Inspections based on machine vision

Autonomous mobile robots

Intelligent alarm monitoring technology

Perception and decision-making of intelligent systems

Undergraduate:
Introduction of Artificial intelligence, Artificial intelligence technology;

Graduate:
Statistical machine learning, Basic of 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, Jiashu Tian, Hybrid graph convolutional and deep convolutional networks for enhanced pavement crack detection[J], Engineering Applications of Artificial Intelligence, 2025, Vol. 145, article no. 110227. https://doi.org/10.1016/j.engappai.2025.110227

[2] 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

[3] 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

[4] 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

[5] 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

[6] 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

[7] 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

[8] 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

[9] 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

From September 2010 to present, I am full-time faculty member at the School of Information Engineering, Chang'an University;

From October 2016 to October 2017, I conducted visiting scholar research at the Non Destructive Testing Laboratory of the College of Engineering at the University of Illinois at Chicago in the United States.