| Retina blood vessel segmentation using a U-net based Convolutional neural network W Xiancheng, L Wei, M Bingyi, J He, Z Jiang, W Xu, Z Ji, G Hong, ... Procedia computer science: International conference on data science (ICDS …, 2018 | 64 | 2018 |
| Transfer learning and deep domain adaptation W Xu, J He, Y Shu Advances and applications in deep learning 45, 2020 | 36 | 2020 |
| Enhanced classification models for iris dataset Y Wu, J He, Y Ji, G Huang, H Yao, P Zhang, W Xu, M Guo, Y Li Procedia Computer Science 162, 946-954, 2019 | 18 | 2019 |
| Real-time target detection and recognition with deep convolutional networks for intelligent visual surveillance W Xu, J He, HL Zhang, B Mao, J Cao Proceedings of the 9th international conference on utility and cloud …, 2016 | 9 | 2016 |
| Advances in convolutional neural networks W Xu, J He, Y Shu, H Zheng Advances and Applications in Deep Learning, 1-22, 2020 | 7 | 2020 |
| DeepHealth: Deep representation learning with autoencoders for healthcare prediction W Xu, J He, Y Shu 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 42-49, 2020 | 6 | 2020 |
| TIDM: Topic-Specific Information Detection Model W Xu, J He, B Mao, Y Li, P Liu, Z Zhang, J Cao Procedia computer science 122, 229-236, 2017 | 3 | 2017 |
| SGAT: Snapshot-guided adversarial training of neural networks W Xu, J He, Y Shu, G Huang Neurocomputing 547, 126294, 2023 | | 2023 |
| Building Computational Virtual Reality Environment for Anesthesia W Xu, J He, X Cao, P Zhang, W Gao, D Pan, Y Guo, J He Annals of Data Science 3, 413-421, 2016 | | 2016 |
