LSA-Net: Location and shape attention network for automatic surface defect segmentation W Li, B Li, S Niu, Z Wang, M Wang, T Niu Journal of Manufacturing Processes 99, 65-77, 2023 | 8 | 2023 |
NAS-ASDet: An adaptive design method for surface defect detection network using neural architecture search Z Wang, B Li, W Li, S Niu, M Wang, T Niu Advanced Engineering Informatics 61, 102500, 2024 | 7 | 2024 |
Scoring Bayesian Neural Networks for learning from inconsistent labels in surface defect segmentation T Niu, B Chen, Q Lyu, B Li, W Luo, Z Wang, B Li Measurement 225, 113998, 2024 | 6 | 2024 |
A-Net: An A-shape lightweight neural network for real-time surface defect segmentation B Chen, T Niu, W Yu, R Zhang, Z Wang, B Li IEEE Transactions on Instrumentation and Measurement, 2023 | 5 | 2023 |
Selecting informative data for defect segmentation from imbalanced datasets via active learning W Li, B Li, S Niu, Z Wang, B Liu, T Niu Advanced Engineering Informatics 56, 101933, 2023 | 5 | 2023 |
Learning trustworthy model from noisy labels based on rough set for surface defect detection T Niu, Z Wang, W Li, K Li, Y Li, G Xu, B Li Applied Soft Computing 165, 112138, 2024 | 3 | 2024 |
Filter collaborative contribution pruning method based on the importance of different-scale layers for surface defect detection M Wang, Z Wang, B Li, T Niu, W Li, B Liu Measurement 231, 114507, 2024 | | 2024 |
Background-Adaptive Surface Defect Detection Neural Networks via Positive Samples T Niu, B Chen, Z Wang, R Zhang, B Li IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society …, 2023 | | 2023 |
基于中心对称多胞体的故障可分离性评价 王桢榕, 王振华, 沈毅 自动化学报 48 (8), 1921-1930, 2022 | | 2022 |
Fault Symptoms Generation via Reachable Set Estimation Y He, Z Wang, Z Wang, Y Shen Advances in Guidance, Navigation and Control: Proceedings of 2020 …, 2022 | | 2022 |
H−/L∞ Fault Detection Observer Design for Uncertain Takagi-Sugeno Fuzzy Systems Z Wang, J Li, Y Shen 2019 Chinese Control Conference (CCC), 5126-5131, 2019 | | 2019 |