| Pathologist-level interpretable whole-slide cancer diagnosis with deep learning Z Zhang, P Chen, M McGough, F Xing, C Wang, M Bui, Y Xie, M Sapkota, ... Nature Machine Intelligence 1 (5), 236-245, 2019 | 331 | 2019 |
| Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss P Chen, L Gao, X Shi, K Allen, L Yang Computerized Medical Imaging and Graphics 75, 84-92, 2019 | 254 | 2019 |
| Efficient and robust cell detection: A structured regression approach Y Xie, F Xing, X Shi, X Kong, H Su, L Yang Medical image analysis 44, 245-254, 2018 | 153 | 2018 |
| Simple unsupervised graph representation learning Y Mo, L Peng, J Xu, X Shi, X Zhu Proceedings of the AAAI conference on artificial intelligence 36 (7), 7797-7805, 2022 | 151 | 2022 |
| Face recognition by sparse discriminant analysis via joint L2, 1-norm minimization X Shi, Y Yang, Z Guo, Z Lai Pattern Recognition 47 (7), 2447-2453, 2014 | 132 | 2014 |
| Loss-based attention for deep multiple instance learning X Shi, F Xing, Y Xie, Z Zhang, L Cui, L Yang Proceedings of the AAAI conference on artificial intelligence 34 (04), 5742-5749, 2020 | 117 | 2020 |
| Pairwise based deep ranking hashing for histopathology image classification and retrieval X Shi, M Sapkota, F Xing, F Liu, L Cui, L Yang Pattern Recognition 81, 14-22, 2018 | 103 | 2018 |
| Are diffusion models vulnerable to membership inference attacks? J Duan, F Kong, S Wang, X Shi, K Xu International Conference on Machine Learning, 8717-8730, 2023 | 98 | 2023 |
| Adaptive feature projection with distribution alignment for deep incomplete multi-view clustering J Xu, C Li, L Peng, Y Ren, X Shi, HT Shen, X Zhu IEEE Transactions on Image Processing 32, 1354-1366, 2023 | 91 | 2023 |
| Deep incomplete multi-view clustering via mining cluster complementarity J Xu, C Li, Y Ren, L Peng, Y Mo, X Shi, X Zhu Proceedings of the AAAI conference on artificial intelligence 36 (8), 8761-8769, 2022 | 87 | 2022 |
| Reverse graph learning for graph neural network L Peng, R Hu, F Kong, J Gan, Y Mo, X Shi, X Zhu IEEE transactions on neural networks and learning systems, 2022 | 73 | 2022 |
| Iterative attention mining for weakly supervised thoracic disease pattern localization in chest x-rays J Cai, L Lu, AP Harrison, X Shi, P Chen, L Yang Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 66 | 2018 |
| A framework of joint graph embedding and sparse regression for dimensionality reduction X Shi, Z Guo, Z Lai, Y Yang, Z Bao, D Zhang IEEE Transactions on Image Processing 24 (4), 1341-1355, 2015 | 65 | 2015 |
| Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis X Shi, H Su, F Xing, Y Liang, G Qu, L Yang Medical image analysis 60, 101624, 2020 | 57 | 2020 |
| Local and global consistency regularized mean teacher for semi-supervised nuclei classification H Su, X Shi, J Cai, L Yang International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 57 | 2019 |
| Kernel-based supervised discrete hashing for image retrieval X Shi, F Xing, J Cai, Z Zhang, Y Xie, L Yang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 56 | 2016 |
| Asymmetric discrete graph hashing X Shi, F Xing, K Xu, M Sapkota, L Yang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 55 | 2017 |
| Semicontour: A semi-supervised learning approach for contour detection Z Zhang, F Xing, X Shi, L Yang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 55 | 2016 |
| Multi-task multi-modality SVM for early COVID-19 diagnosis using chest CT data R Hu, J Gan, X Zhu, T Liu, X Shi Information Processing & Management 59 (1), 102782, 2022 | 47 | 2022 |
| Multiplex graph representation learning via dual correlation reduction Y Mo, Y Chen, Y Lei, L Peng, X Shi, C Yuan, X Zhu IEEE Transactions on Knowledge and Data Engineering 35 (12), 12814-12827, 2023 | 46 | 2023 |
Lin YangProfessor, Westlake University在 westlake.edu.cn 的電子郵件地址已通過驗證
