💻 Publications

My full paper list is shown at my Google Scholar. Different research topics are highlighted using 🔶 Sensing, 🚩 Inspection, 🚄 Monitoring

Sudao He, Fuyang Chen, Ning Xu. High-speed train localization algorithm via cooperative multi-classifier network using distributed heterogeneous signals, Journal of the Franklin Institute, 2023, 360(12): 8096-8117. (JCR Q1, IF: 4.1)(cite)

Sudao HE, Shenghan ZHANG, Dhanada MISHRA, Matthew Ming-Fai YUEN. A graph learning approach for automatic subsurface defects segmentation in building façade using RGB and infrared images. Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM 2024), June 10-13, 2024 in Potsdam, Germany. e-Journal of Nondestructive Testing.
Sudao HE, Gang ZHAO, Jun CHEN, Shenghan ZHANG, Dhanada MISHRA, Matthew Ming-Fai YUEN. Weakly-Aligned Cross-Modal Learning Framework for Subsurface Defect Segmentation on Building Facades Using Unmanned Aerial Vehicles. Automation in Construction (JCR Q1, IF: 9.6)

Sudao He, Fuyang Chen, Hongtian Chen. A latent representation generalizing network for domain generalization in cross-scenario monitoring, IEEE Transactions on Neural Networks and Learning Systems. (JCR Q1, IF: 10.4) (cite)
Sudao He, Fuyang Chen, Ning Xu, Hongtian Chen. Online monitoring for non-stationary operation via a collaborative neural network. IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-12, 2022. (JCR Q1, IF: 5.6) (cite)
Sudao He, Fuyang Chen, Bin Jiang. Physical intrusion monitoring via local-global network and deep isolation forest based on heterogeneous signals. Neurocomputing, vol. 441, pp. 25-35, 2021 (JCR Q1, IF: 5.5)(cite)
Sudao He, Wai Kei Ao, Yi-Qing Ni. A Unified Label Noise-Tolerant Framework of Deep Learning-based Fault Diagnosis via A Bounded Neural Network, IEEE Transactions on Instrumentation and Measurement, 2024. (JCR Q1, IF: 5.6)(code)
Fuyang Chen, Sudao He, Yiwei Li, Hongtian Chen. Data-driven monitoring for distributed sensor networks: an end-to-end strategy based on collaborative learning, IEEE Sensors Journal, vol. 22, no. 22, pp. 21795-21805, 15 Nov.15, 2022. (JCR Q1, IF: 4.3)(cite)
Wentao Liu, Sudao He, Jianpeng Mou, Ting Xue, Hongtian Chen, Weili Xiong. Digital twins-based process monitoring for wastewater treatment processes. Reliability Engineering & System Safety, 2023: 109416. (JCR Q1,IF: 8.1)(cite)