| Anomaly detection of sensor faults and extreme events based on support vector data description Y Zhang, X Wang, Z Ding, Y Du, Y Xia Structural Control and Health Monitoring 29 (10), e3047, 2022 | 14 | 2022 |
| Convolutional neural network-based data anomaly detection considering class imbalance with limited data Y Du, L Li, R Hou, X Wang, W Tian, Y Xia Smart Struct Syst 29 (1), 63-75, 2022 | 14 | 2022 |
| Wireless IoT monitoring system in Hong Kong–Zhuhai–Macao bridge and edge computing for anomaly detection X Wang, W Wu, Y Du, J Cao, Q Chen, Y Xia IEEE Internet of Things Journal, 2023 | 8 | 2023 |
| Unsupervised one-class classification for condition assessment of bridge cables using Bayesian factor analysis XY Wang, LF Li, W Tian, Y Du, RR Hou, Y Xia Smart Structures and Systems 29 (1), 41-51, 2022 | 5 | 2022 |
| Semi-supervised contrastive learning for deep regression with ordinal rankings from spectral seriation W Dai, Y Du, H Bai, KT Cheng, X Li Advances in Neural Information Processing Systems 36, 57087-57098, 2023 | | 2023 |
| Data Anomaly Detection through Semisupervised Learning Aided by Customised Data Augmentation Techniques X Wang, Y Du, X Zhou, Y Xia Structural Control and Health Monitoring 2023 (1), 2430011, 2023 | | 2023 |
YONG XIA (夏勇)Dept. of Civil and Environmental Engineering, The Hong Kong Polytechnic University在 polyu.edu.hk 的电子邮件经过验证
