| DefectGAN: Weakly-supervised defect detection using generative adversarial network S Niu, H Lin, T Niu, B Li, X Wang 2019 IEEE 15th international conference on automation science and …, 2019 | 43 | 2019 |
| Positive-sample-based surface defect detection using memory-augmented adversarial autoencoders T Niu, B Li, W Li, Y Qiu, S Niu IEEE/ASME transactions on mechatronics 27 (1), 46-57, 2021 | 39 | 2021 |
| Aerodynamic optimization of high-lift devices using a 2D-to-3D optimization method based on deep reinforcement learning and transfer learning J Dai, P Liu, Q Qu, L Li, T Niu Aerospace Science and Technology 121, 107348, 2022 | 25 | 2022 |
| A novel deep learning motivated data augmentation system based on defect segmentation requirements S Niu, Y Peng, B Li, Y Qiu, T Niu, W Li Journal of Intelligent Manufacturing 35 (2), 687-701, 2024 | 18 | 2024 |
| 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 | 17 | 2023 |
| Uneven illumination surface defects inspection based on saliency detection and intrinsic image decomposition Y Qiu, L Tang, B Li, S Niu, T Niu IEEE Access 8, 190663-190676, 2020 | 14 | 2020 |
| 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 | 11 | 2023 |
| Unsupervised Defect Segmentation Via Forgetting-Inputting-Based Feature Fusion and Multiple Hierarchical Feature Difference W Luo, T Niu, H Yao, L Tang, W Yu, B Li IEEE Sensors Journal, 2023 | 11* | 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 | 10 | 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, 113998, 2023 | 9 | 2023 |
| A generalized well neural network for surface defect segmentation in Optical Communication Devices via Template-Testing comparison T Niu, Z Xie, J Zhang, L Tang, B Li, H Wang Computers in Industry 151, 103978, 2023 | 9 | 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 | 9 | 2023 |
| A drift detection method for industrial images based on a defect segmentation model W Li, B Li, Z Wang, C Qiu, S Niu, X Tan, T Niu Knowledge-Based Systems 301, 112320, 2024 | 6 | 2024 |
| 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 | 5 | 2024 |
| Multi-Disciplinary and Multi-Objective Optimization Method Based on Machine Learning J Dai, P Liu, L Li, Q Qu, T Niu AIAA Journal 62 (2), 691-707, 2024 | 5 | 2024 |
| A multisensory Interaction Framework for Human-Cyber–Physical System based on Graph Convolutional Networks W Qi, CH Chen, T Niu, S Lyu, S Sun Advanced Engineering Informatics 61, 102482, 2024 | 4 | 2024 |
| Research and prospects of virtual reality systems applying exoskeleton technology W Qi, S Sun, T Niu, D Zhao Universal Access in the Information Society 23 (1), 119-140, 2024 | 3 | 2024 |
| Feature matching driven background generalization neural networks for surface defect segmentation B Chen, T Niu, R Zhang, H Zhang, Y Lin, B Li Knowledge-Based Systems, 111451, 2024 | 3 | 2024 |
| Joint-prior-based uneven illumination image enhancement for surface defect detection Y Qiu, S Niu, T Niu, W Li, B Li Symmetry 14 (7), 1473, 2022 | 3 | 2022 |
| Semi-supervised adaptive network for commutator defect detection with limited labels Z Wang, W Li, M Wang, B Liu, T Niu, B Li Journal of Manufacturing Systems 77, 639-651, 2024 | | 2024 |
Shuanlong NiuHuazhong University of Science and TechnologyEmail verificata su hust.edu.cn