| Predicting COVID-19 malignant progression with AI techniques X Bai, C Fang, Y Zhou, S Bai, Z Liu, Q Chen, Y Xu, T Xia, S Gong, X Xie, ... MedRxiv, 2020.03. 20.20037325, 2020 | 121 | 2020 |
| Face detection using improved faster rcnn C Zhang, X Xu, D Tu arXiv preprint arXiv:1802.02142, 2018 | 95 | 2018 |
| Deep learning for predicting COVID-19 malignant progression C Fang, S Bai, Q Chen, Y Zhou, L Xia, L Qin, S Gong, X Xie, C Zhou, D Tu, ... Medical image analysis 72, 102096, 2021 | 64 | 2021 |
| Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence X Bai, H Wang, L Ma, Y Xu, J Gan, Z Fan, F Yang, K Ma, J Yang, S Bai, ... Nature Machine Intelligence 3 (12), 1081-1089, 2021 | 42 | 2021 |
| A collaborative online AI engine for CT-based COVID-19 diagnosis Y Xu, L Ma, F Yang, Y Chen, K Ma, J Yang, X Yang, Y Chen, C Shu, Z Fan, ... MedRxiv, 2020 | 42 | 2020 |
| Trust the model when it is confident: Masked model-based actor-critic F Pan, J He, D Tu, Q He Advances in neural information processing systems 33, 10537-10546, 2020 | 37 | 2020 |
| DCCL: A benchmark for cervical cytology analysis C Zhang, D Liu, L Wang, Y Li, X Chen, R Luo, S Che, H Liang, Y Li, S Liu, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 27 | 2019 |
| Method and device for training model in distributed system Y Zhang, D Tu US Patent 10,764,125, 2020 | 24 | 2020 |
| Attribute group editing for reliable few-shot image generation G Ding, X Han, S Wang, S Wu, X Jin, D Tu, Q Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 20 | 2022 |
| A unified scheme of text localization and structured data extraction for joint OCR and data mining Y Ye, S Zhu, J Wang, Q Du, Y Yang, D Tu, L Wang, J Luo 2018 IEEE International Conference on Big Data (Big Data), 2373-2382, 2018 | 15 | 2018 |
| A survey on deep learning benchmarks: Do we still need new ones? Q Zhang, L Zha, J Lin, D Tu, M Li, F Liang, R Wu, X Lu Benchmarking, Measuring, and Optimizing: First BenchCouncil International …, 2019 | 14 | 2019 |
| Deep learning for spirometry quality assurance with spirometric indices and curves Y Wang, Y Li, W Chen, C Zhang, L Liang, R Huang, J Liang, D Tu, Y Gao, ... Respiratory Research 23 (1), 98, 2022 | 10 | 2022 |
| Unsupervised cross-modality adaptation via dual structural-oriented guidance for 3D medical image segmentation J Xian, X Li, D Tu, S Zhu, C Zhang, X Liu, X Li, X Yang IEEE Transactions on Medical Imaging, 2023 | 8 | 2023 |
| Advertisement Recommendation Method and Advertisement Recommendation Server D Tu, Y Zhang US Patent App. 15/378,311, 2017 | 7 | 2017 |
| Face detection using improved faster RCNN (2018) C Zhang, X Xu, D Tu arXiv preprint arXiv:1802.02142, 2018 | 5 | 2018 |
| Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning S Yu, H Xue, X Ao, F Pan, J He, D Tu, Q He Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
| Stable attribute group editing for reliable few-shot image generation G Ding, X Han, S Wang, X Jin, D Tu, Q Huang arXiv preprint arXiv:2302.00179, 2023 | 4 | 2023 |
| Unsupervised coherent video cartoonization with perceptual motion consistency Z Liu, L Li, H Jiang, X Jin, D Tu, S Wang, ZJ Zha Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1846-1853, 2022 | 4 | 2022 |
| Training method, apparatus, chip, and system for neural network model C Zhang, BAI Xiaolong, D Tu US Patent App. 16/424,760, 2019 | 4 | 2019 |
| MSAFusionNet: Multiple subspace attention based deep multi-modal fusion network S Zhang, C Zhang, L Wang, C Li, D Tu, R Luo, G Qi, J Luo Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 4 | 2019 |
