| A survey of real-time surface defect inspection methods based on deep learning Y Liu, C Zhang, X Dong Artificial Intelligence Review 56 (10), 12131-12170, 2023 | 29 | 2023 |
| A deep learning based framework for remote sensing image ground object segmentation X Dong, C Zhang, L Fang, Y Yan Applied Soft Computing 130, 109695, 2022 | 13 | 2022 |
| A multi-constrained domain adaptation network for remaining useful life prediction of bearings X Dong, C Zhang, H Liu, D Wang, T Wang Mechanical Systems and Signal Processing 206, 110900, 2024 | 11 | 2024 |
| Real-time detection of surface cracking defects for large-sized stamped parts X Dong, C Zhang, J Wang, Y Chen, D Wang Computers in Industry 159, 104105, 2024 | 9 | 2024 |
| A novel method of production line bearing fault diagnosis based on 2D image and cross-domain few-shot learning T Wang, C Chen, X Dong, H Liu Applied Sciences 13 (3), 1809, 2023 | 8 | 2023 |
| An adaptive incremental two-stage framework for crack defect detection Q Guo, C Li, X Deng, X Dong, C Zhang Multimedia Tools and Applications 83 (27), 69249-69271, 2024 | 1 | 2024 |
| Inspection of cracking in stamping parts surfaces using anomaly detection X Dong, C Zhang, D Wang, Q Guo, X Deng, C Li Engineering Applications of Artificial Intelligence 143, 110006, 2025 | | 2025 |
| A new cross-domain bearing fault diagnosis method with few samples under different working conditions X Dong, C Zhang, H Liu, D Wang, Y Chen, T Wang Journal of Manufacturing Processes 135, 359-374, 2025 | | 2025 |
| Point Cloud-Based Deep Learning in Industrial Production: A Survey Y Liu, C Zhang, X Dong, J Ning ACM Computing Surveys, 2025 | | 2025 |
Yuxiao YanNortheastern UniversityEmail verificata su stu.neu.edu.cn
