| Low-dose CT denoising via sinogram inner-structure transformer L Yang, Z Li, R Ge, J Zhao, H Si, D Zhang IEEE transactions on medical imaging 42 (4), 910-921, 2022 | 75 | 2022 |
| Towards evaluating the robustness of deep diagnostic models by adversarial attack M Xu, T Zhang, Z Li, M Liu, D Zhang Medical Image Analysis 69, 101977, 2021 | 57 | 2021 |
| SEGAN: Structure-enhanced generative adversarial network for compressed sensing MRI reconstruction Z Li, T Zhang, P Wan, D Zhang Proceedings of the AAAI conference on artificial intelligence 33 (01), 1012-1019, 2019 | 34 | 2019 |
| A comprehensive review of graph convolutional networks: approaches and applications X Xu, X Zhao, M Wei, Z Li Electronic Research Archive 31 (7), 4185-4215, 2023 | 21 | 2023 |
| InfoAT: Improving adversarial training using the information bottleneck principle M Xu, T Zhang, Z Li, D Zhang IEEE Transactions on Neural Networks and Learning Systems 35 (1), 1255-1264, 2022 | 17 | 2022 |
| Long tail multi-label learning M Yuan, J Xu, Z Li 2019 IEEE Second International Conference on Artificial Intelligence and …, 2019 | 12 | 2019 |
| Class-imbalanced complementary-label learning via weighted loss M Wei, Y Zhou, Z Li, X Xu Neural Networks 166, 555-565, 2023 | 11 | 2023 |
| Active learning for efficient analysis of high-throughput nanopore data X Guan, Z Li, Y Zhou, W Shao, D Zhang Bioinformatics 39 (1), btac764, 2023 | 10 | 2023 |
| Improved procedures for training primal wasserstein gans T Zhang, Z Li, Q Zhu, D Zhang 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 8 | 2019 |
| Unsupervised domain adaptation for multi-center autism spectrum disorder identification Y Jiang, Z Li, D Zhang 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 8 | 2019 |
| GACDN: generative adversarial feature completion and diagnosis network for COVID-19 Q Zhu, H Ye, L Sun, Z Li, R Wang, F Shi, D Shen, D Zhang BMC Medical Imaging 21, 1-13, 2021 | 7 | 2021 |
| Automated bone age assessment: A new three-stage assessment method from coarse to fine X Xu, H Xu, Z Li Healthcare 10 (11), 2170, 2022 | 6 | 2022 |
| Fs-net: Filter selection network for hyperspectral reconstruction L Yang, Z Li, Z Pei, D Zhang 2021 IEEE International Conference on Image Processing (ICIP), 2933-2937, 2021 | 6 | 2021 |
| MTRT: Motion trajectory reconstruction transformer for EEG-based BCI decoding P Wang, Z Li, P Gong, Y Zhou, F Chen, D Zhang IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 2349-2358, 2023 | 5 | 2023 |
| S2Snet: deep learning for low molecular weight RNA identification with nanopore X Guan, Y Wang, W Shao, Z Li, S Huang, D Zhang Briefings in Bioinformatics 23 (3), bbac098, 2022 | 5 | 2022 |
| Residual attention generative adversarial networks for nuclei detection on routine colon cancer histology images J Li, W Shao, Z Li, W Li, D Zhang Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 5 | 2019 |
| Mri measurement matrix learning via correlation reweighting Z Li, T Zhang, R Chen, D Zhang Proceedings of the 28th ACM International Conference on Multimedia, 2737-2745, 2020 | 4 | 2020 |
| Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features T Sun, X Wang, Z Li, S Ding Neural Networks 170, 453-467, 2024 | 2 | 2024 |
| Optimized pointwise convolution operation by Ghost blocks. X Xu, Y Ding, Z Lv, Z Li, R Sun Electronic Research Archive 31 (6), 2023 | 2 | 2023 |
| Uncertainty ordinal multi-instance learning for breast cancer diagnosis X Xu, Q Guo, Z Li, D Li Healthcare 10 (11), 2300, 2022 | 2 | 2022 |
