| Cut-thumbnail: A novel data augmentation for convolutional neural network T Xie, X Cheng, X Wang, M Liu, J Deng, T Zhou, M Liu Proceedings of the 29th ACM International Conference on Multimedia, 1627-1635, 2021 | 34 | 2021 |
| Deep learning using CT images to grade clear cell renal cell carcinoma: development and validation of a prediction model L Xu, C Yang, F Zhang, X Cheng, Y Wei, S Fan, M Liu, X He, J Deng, ... Cancers 14 (11), 2574, 2022 | 24 | 2022 |
| Reinforcement learning based diagnosis and prediction for COVID-19 by optimizing a mixed cost function from CT images S Chen, M Liu, P Deng, J Deng, Y Yuan, X Cheng, T Xie, L Xie, W Zhang, ... IEEE Journal of Biomedical and Health Informatics 26 (11), 5344-5354, 2022 | 18 | 2022 |
| Focuseddropout for convolutional neural network M Liu, T Xie, X Cheng, J Deng, M Yang, X Wang, M Liu Applied Sciences 12 (15), 7682, 2022 | 16 | 2022 |
| Self-supervised contrastive learning using CT images for PD-1/PD-L1 expression prediction in hepatocellular carcinoma T Xie, Y Wei, L Xu, Q Li, F Che, Q Xu, X Cheng, M Liu, M Yang, X Wang, ... Frontiers in Oncology 13, 1103521, 2023 | 9 | 2023 |
| CT-based transformer model for non-invasively predicting the Fuhrman nuclear grade of clear cell renal cell carcinoma M Yang, X He, L Xu, M Liu, J Deng, X Cheng, Y Wei, Q Li, S Wan, F Zhang, ... Frontiers in Oncology 12, 961779, 2022 | 7 | 2022 |
| Cost Ensemble with Gradient Selecting for GANs. M Liu, J Deng, M Yang, X Cheng, N Liu, M Liu, X Wang IJCAI, 1194-1200, 2022 | 6 | 2022 |
| Efficient resource allocation policy for cloud edge end framework by reinforcement learning C Yang, H Xu, S Fan, X Cheng, M Liu, X Wang 2022 IEEE 8th International Conference on Computer and Communications (ICCC …, 2022 | 5 | 2022 |
| Cyclicshift: A data augmentation method for enriching data patterns H Lu, X Cheng, W Xia, P Deng, MH Liu, T Xie, XM Wang, M Liu Proceedings of the 30th ACM International Conference on Multimedia, 4921-4929, 2022 | 5 | 2022 |
| Feature mining: a novel training strategy for convolutional neural network T Xie, J Deng, X Cheng, M Liu, X Wang, M Liu Applied Sciences 12 (7), 3318, 2022 | 5 | 2022 |
| Novel computed-tomography-based transformer models for the Noninvasive prediction of PD-1 in pre-operative settings Y Wei, M Yang, L Xu, M Liu, F Zhang, T Xie, X Cheng, X Wang, F Che, ... Cancers 15 (3), 658, 2023 | 4 | 2023 |
| Self‐adaption and texture generation: A hybrid loss function for low‐dose CT denoising Z Wang, M Liu, X Cheng, J Zhu, X Wang, H Gong, M Liu, L Xu Journal of Applied Clinical Medical Physics 24 (9), e14113, 2023 | 3 | 2023 |
| Feature Equilibrium: An Adversarial Training Method to Improve Representation Learning M Liu, M Yang, J Deng, X Cheng, T Xie, P Deng, H Gong, M Liu, X Wang International Journal of Computational Intelligence Systems 16 (1), 63, 2023 | 3 | 2023 |
| Express Construction for GANs from Latent Representation to Data Distribution M Liu, J Deng, M Yang, X Cheng, T Xie, P Deng, X Wang, M Liu Applied Sciences 12 (8), 3910, 2022 | 2 | 2022 |
| Channel Self-Supervision for Online Knowledge Distillation S Fan, X Cheng, X Wang, C Yang, P Deng, M Liu, J Deng, M Liu arXiv preprint arXiv:2203.11660, 2022 | 2 | 2022 |
| Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency T Xie, X Cheng, M Liu, J Deng, X Wang, M Liu arXiv preprint arXiv:2112.00954, 2021 | 2 | 2021 |
| Self-supervision of Feature Transformation for Further Improving Supervised Learning Z Ding, Y Yang, X Cheng, X Wang, M Liu arXiv preprint arXiv:2106.04922, 2021 | 2 | 2021 |
| Self-supervised feature enhancement: applying internal pretext task to supervised learning T Xie, Y Yang, Z Ding, X Cheng, X Wang, H Gong, M Liu IEEE Access 11, 1708-1717, 2022 | 1 | 2022 |
| Self-supervised Feature Enhancement: Applying Internal Pretext Task to Supervised Learning Y Yang, Z Ding, X Cheng, X Wang, M Liu arXiv preprint arXiv:2106.04921, 2021 | 1 | 2021 |
| Modelling multiscale infectious disease in complex systems J Xian, M Liu, X Cheng, M Yang, T Xie, X Wang, M Liu, YC Zhang, D Yang, ... Physics Reports 1113, 1-57, 2025 | | 2025 |
