Publications
Table of Contents
Deep learning and NDT
Deep learning and pavement inspection
Deep learning and Dempster-Shafer theory
Deep learning and pavement materials
Others
Deep learning and NDT
Yiming Zhang, Fan Bao, Zheng Tong, Tao Ma, Weiguang Zhang, Jianwei Fan, Xiaoming Huang. Radar wave response of slab bottom voids in heterogeneous airport concrete pavement. Journal of Southeast University (Natural Science Edition) 53(1) (2023): 137-148. DOI
Handuo Yang, Ju Huyan, Tao Ma, Zheng Tong, Chengjia Han, and Tianyan Xie. Novel Computer Tomography image enhancement deep neural networks for asphalt mixtures. Construction and Building Materials 352 (2022): 129067. DOI
Zheng Tong, Jie Gao, and Dongdong Yuan. Advances of deep learning applications in ground-penetrating radar: A survey. Construction and Building Materials 258 (2020): 120371. DOI
Jie Gao, Dongdong Yuan, Zheng Tong, Jiangang Yang, and Di Yu. Autonomous pavement distress detection using ground penetrating radar and region-based deep learning. Measurement 164 (2020): 108077. DOI
Zheng Tong, Dongdong Yuan, Jie Gao, Yongfeng Wei, and Hui Dou. Pavement-distress detection using ground-penetrating radar and network in networks. Construction and Building Materials 233 (2020): 117352. DOI
Zheng Tong, Jie Gao, and Haitao Zhang. Innovative method for recognizing subgrade defects based on a convolutional neural network. Construction and Building Materials 169 (2018): 69-82. DOI
Zheng Tong, Jie Gao, and Haitao Zhang. Recognition, location, measurement, and 3D reconstruction of concealed cracks using convolutional neural networks. Construction and Building Materials 146 (2017): 775-787. DOI
Deep learning and pavement inspection
Zheng Tong, Tao Ma, Weiguang Zhang, Ju Huyan. Evidential transformer for pavement distress segmentation. *Computer‐Aided Civil and Infrastructure Engineering, 2023 (in press). Link
Tao Ma, Zheng Tong, Yiming Zhang, Weiguang Zhang. A three-dimensional reconstruction method of pavement macro-texture using a multi-view deep neural network. China Journal Highway Transportation, 2023, 36(3), 1-11. (in Chinese) Link
Zheng Tong, Tao Ma, Ju Huyan, and Weiguang Zhang. Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation. arXiv preprint arXiv:2208.00775 (2022). Link
Zheng Tong, Dongdong Yuan, Jie Gao, and Zhenjun Wang. Pavement defect detection with fully convolutional network and an uncertainty framework. Computer‐Aided Civil and Infrastructure Engineering 35, no. 8 (2020): 832-849. DOI
Wanli Ye, Wei Jiang, Zheng Tong, Dongdong Yuan, and Jingjing Xiao. Convolutional neural network for pothole detection in asphalt pavement. Road materials and pavement design 22, no. 1 (2021): 42-58. DOI
Zheng Tong, Jie Gao, Aimin Sha, Liqun Hu, and Shuai Li. Convolutional neural network for asphalt pavement surface texture analysis. Computer‐Aided Civil and Infrastructure Engineering 33, no. 12 (2018): 1056-1072. DOI
Zheng Tong, Jie Gao, Zhenqiang Han, and Zhenjun Wang. Recognition of asphalt pavement crack length using deep convolutional neural networks. Road Materials and Pavement Design 19, no. 6 (2018): 1334-1349. DOI
Aimin Sha, Zheng Tong, and Jie Gao. Recognition and measurement of pavement disasters based on convolutional neural networks. China Journal of Highway and Transport 31, no. 1 (2018): 1. Link
Deep learning and Dempster-Shafer thoery
Zheng Tong, Philippe Xu, and Thierry Denœux. Fusion of evidential CNN classifiers for image classification. In the 2021 International Conference on Belief Functions, pp. 168-176. Shanghai, China. Link.
Zheng Tong, Philippe Xu, and Thierry Denœux. Evidential fully convolutional network for semantic segmentation. Applied Intelligence 51, no. 9 (2021): 6376-6399. DOI
Zheng Tong, Philippe Xu, and Thierry Denœux. An evidential classifier based on Dempster-Shafer theory and deep learning. Neurocomputing 450 (2021): 275-293. DOI
Zheng Tong, Philippe Xu, and Thierry Denœux. ConvNet and Dempster-Shafer theory for object recognition. Processing in the 6th International Conference on Scalable Uncertainty Management, pp. 368-381. Compiegne, France, 2019. Link
Deep learning and pavement materials
Zheng Tong, Zhenjun Wang, Xiaofeng Wang, Yuwei Ma, Haoyan Guo, and Cunqiang Liu. Characterization of hydration and dry shrinkage behavior of cement emulsified asphalt composites using deep learning. Construction and Building Materials 274 (2021): 121898. DOI
Zheng Tong, Jinyang Huo, and Zhenjun Wang. High-throughput design of fiber reinforced cement-based composites using deep learning. Cement and Concrete Composites 113 (2020): 103716. DOI
Zheng Tong, Jie Gao, Zhenjun Wang, Yongfeng Wei, and Hui Dou. A new method for CF morphology distribution evaluation and CFRC property prediction using cascade deep learning. Construction and Building Materials 222 (2019): 829-838. DOI
Dongdong Yuan, Wei Jiang, Zheng Tong, Jie Gao, Jingjing Xiao, and Wanli Ye. Prediction of electrical conductivity of fiber-reinforced cement-based composites by deep neural networks. Materials 12, no. 23 (2019): 3868. DOI
Zheng Tong, Haoyan Guo, Jie Gao, and Zhenjun Wang. A novel method for multi-scale carbon fiber distribution characterization in cement-based composites. Construction and Building Materials 218 (2019): 40-52. DOI
Hai Liu, Aimin Sha, Zheng Tong, and Jie Gao. Autonomous microscopic bunch inspection using region-based deep learning for evaluating graphite powder dispersion. Construction and Building Materials 173 (2018): 525-539. DOI
Zheng Tong, Jie Gao, and Haitao Zhang. Innovation for evaluating aggregate angularity based upon 3D convolutional neural network. Construction and Building Materials 155 (2017): 919-929. DOI
Others
Jianying Hu, Fan Bao, Ju Huyan, Yu Zhu, Zheng Tong, and Weiguang Zhang. Risk Evaluation of Airport Safety during Non-stop Construction Using Fuzzy Analytical Hierarchy Process and Bayesian Belief Network. Advance Researches in Civil Engineering 4, no. 2 (2022): 10-23. Link
Weiguang Zhang, Kamal Nasir Ahmad, Zheng Tong, Zhaoguang Hu, Haoyang Wang, Meng Wu, Kai Zhao, Shunxin Yang, Hassan Farooq, and Louay N. Mohammad. In-Time Density Monitoring of In-Place Asphalt Layer Construction via Intelligent Compaction Technology. Journal of Materials in Civil Engineering 35, no. 1 (2023): 04022386. Link
Chengjia Han, Fanlong Tang, Tao Ma, Linhao Gu, and Zheng Tong. Construction quality evaluation of asphalt pavement based on BIM and GIS. Automation in Construction 141 (2022): 104398. DOI
Dongdong Yuan, Wei Jiang, Jingjing Xiao, Zheng Tong, Meng Jia, Jinhuan Shan, and Aboudou Wassiou Ogbon. Assessment of the Aging Process of Finished Product–Modified Asphalt Binder and Its Aging Mechanism. Journal of Materials in Civil Engineering 34, no. 8 (2022): 04022174. DOI
Wei Jiang, Dongdong Yuan, Zheng Tong, Aimin Sha, Jingjing Xiao, Meng Jia, Wanli Ye, and Wentong Wang. Aging effects on rheological properties of high viscosity modified asphalt. Journal of Traffic Transportationg (English Edition) 20210322, no. 002 (2021). Link
Jie Gao, Aimin Sha, Yue Huang, Zhuangzhuang Liu, Liqun Hu, Wei Jiang, Di Yun, Zheng Tong, and Zhenjun Wang. Cycling comfort on asphalt pavement: Influence of the pavement-tyre interface on vibration. Journal of cleaner production 223 (2019): 323-341. DOI
Jie Gao, Aimin Sha, Yue Huang, Liqun Hu, Zheng Tong, and Wei Jiang. Evaluating the cycling comfort on urban roads based on cyclists’ perception of vibration. Journal of Cleaner Production 192 (2018): 531-541. DOI
Jie Gao, Aimin Sha, Zhenjun Wang, Zheng Tong, and Zhuangzhuang Liu. Utilization of steel slag as aggregate in asphalt mixtures for microwave deicing. Journal of Cleaner Production 152 (2017): 429-442. DOI
Zhenqiang Han, Aimin Sha, Zheng Tong, Zhuangzhuang Liu, Jie Gao, Xiaolong Zou, and Dongdong Yuan. Study on the optimum rice husk ash content added in asphalt binder and its modification with bio-oil. Construction and Building Materials 147 (2017): 776-789. DOI
Zhuangzhuang Liu, Aimin Sha, Liqun Hu, Yongwei Lu, Wenxiu Jiao, Zheng Tong, and Jie Gao. Kinetic and thermodynamic modeling of Portland cement hydration at low temperatures. Chemical Papers 71, no. 4 (2017): 741-751. DOI