| Computer vision and deep learning–based data anomaly detection method for structural health monitoring Y Bao, Z Tang, H Li, Y Zhang Structural Health Monitoring 18 (2), 401-421, 2019 | 491 | 2019 |
| The state of the art of data science and engineering in structural health monitoring Y Bao, Z Chen, S Wei, Y Xu, Z Tang, H Li Engineering 5 (2), 234-242, 2019 | 356 | 2019 |
| Convolutional neural network‐based data anomaly detection method using multiple information for structural health monitoring Z Tang, Z Chen, Y Bao, H Li Structural Control and Health Monitoring 26 (1), e2296, 2019 | 319 | 2019 |
| Compressive-sensing data reconstruction for structural health monitoring: a machine-learning approach Y Bao, Z Tang, H Li Structural Health Monitoring 19 (1), 293-304, 2020 | 67 | 2020 |
| Deep reinforcement learning-based sampling method for structural reliability assessment Z Xiang, Y Bao, Z Tang, H Li Reliability Engineering & System Safety 199, 106901, 2020 | 51 | 2020 |
| Machine‐learning‐based methods for output‐only structural modal identification D Liu, Z Tang, Y Bao, H Li Structural Control and Health Monitoring 28 (12), e2843, 2021 | 50 | 2021 |
| Group sparsity-aware convolutional neural network for continuous missing data recovery of structural health monitoring Z Tang, Y Bao, H Li Structural Health Monitoring 20 (4), 1738-1759, 2021 | 43 | 2021 |
| Data anomaly detection for structural health monitoring by multi-view representation based on local binary patterns Y Zhang, Z Tang, R Yang Measurement 202, 111804, 2022 | 22 | 2022 |
| Clarifying and quantifying the geometric correlation for probability distributions of inter-sensor monitoring data: A functional data analytic methodology Z Chen, Y Bao, Z Tang, J Chen, H Li Mechanical Systems and Signal Processing 138, 106540, 2020 | 14 | 2020 |
| A data-driven multi-scale constitutive model of concrete material based on polynomial chaos expansion and stochastic damage model J He, R Gao, Z Tang Construction and Building Materials 334, 127441, 2022 | 13 | 2022 |
| Three-Dimensional Reconstruction and Deformation Identification of Slope Models Based on Structured Light Method Z Chen, C Zhang, Z Tang, K Fang, W Xu Sensors 24 (3), 794, 2024 | 1 | 2024 |
| An Interpretable Deep Learning Method for Identifying Extreme Events under Faulty Data Interference J Guo, Z Tang, C Zhang, W Xu, Y Wu Applied Sciences 13 (9), 5659, 2023 | | 2023 |
Yuequan BaoSchool of Civil Engineering, Harbin Institute of TechnologyVerified email at hit.edu.cn
