| A review on AI for smart manufacturing: Deep learning challenges and solutions J Xu, M Kovatsch, D Mattern, F Mazza, M Harasic, A Paschke, S Lucia Applied Sciences 12 (16), 8239, 2022 | 23 | 2022 |
| Dirtnet: Visual dirt detection for autonomous cleaning robots R Bormann, X Wang, J Xu, J Schmidt 2020 IEEE International Conference on Robotics and Automation (ICRA), 1977-1983, 2020 | 17 | 2020 |
| Open set recognition for machinery fault diagnosis J Xu, M Kovatsch, S Lucia 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 1-7, 2021 | 7 | 2021 |
| Know Yourself Better: Diverse Discriminative Feature Learning Improves Open Set Recognition J Xu arXiv preprint arXiv:2404.10370, 2024 | | 2024 |
| OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning J Xu, C Grohnfeldt, O Kao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| Automated Antenna Testing Using Encoder-Decoder-based Anomaly Detection HHH Hsu, J Xu, R Sama, M Kovatsch 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | | 2021 |
| Tasks:• Literature review on technologies for learning-based dirt detection and object classification• Development and implementation of methods for solving the four tasks … J Xu | | 2017 |
