| Hitanet: Hierarchical time-aware attention networks for risk prediction on electronic health records J Luo, M Ye, C Xiao, F Ma Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 138 | 2020 |
| Chartocr: Data extraction from charts images via a deep hybrid framework J Luo, Z Li, J Wang, CY Lin Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 73 | 2021 |
| Learning inverse mapping by autoencoder based generative adversarial nets J Luo, Y Xu, C Tang, J Lv Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 66 | 2017 |
| Medpath: Augmenting health risk prediction via medical knowledge paths M Ye, S Cui, Y Wang, J Luo, C Xiao, F Ma Proceedings of the Web Conference 2021, 1397-1409, 2021 | 43 | 2021 |
| Lsan: Modeling long-term dependencies and short-term correlations with hierarchical attention for risk prediction M Ye, J Luo, C Xiao, F Ma Proceedings of the 29th ACM International Conference on Information …, 2020 | 43 | 2020 |
| An efficient automatic multiple objectives optimization feature selection strategy for internet text classification C Huang, J Zhu, Y Liang, M Yang, GPC Fung, J Luo International Journal of Machine Learning and Cybernetics 10, 1151-1163, 2019 | 25 | 2019 |
| Cross-modal image-text retrieval with multitask learning J Luo, Y Shen, X Ao, Z Zhao, M Yang Proceedings of the 28th ACM International Conference on Information and …, 2019 | 23 | 2019 |
| Fusion: towards automated ICD coding via feature compression J Luo, C Xiao, L Glass, J Sun, F Ma Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 21 | 2021 |
| Fedsemi: An adaptive federated semi-supervised learning framework Z Long, L Che, Y Wang, M Ye, J Luo, J Wu, H Xiao, F Ma arXiv preprint arXiv:2012.03292 24, 2020 | 19 | 2020 |
| Medretriever: Target-driven interpretable health risk prediction via retrieving unstructured medical text M Ye, S Cui, Y Wang, J Luo, C Xiao, F Ma Proceedings of the 30th ACM International Conference on Information …, 2021 | 16 | 2021 |
| Fedsiam: Towards adaptive federated semi-supervised learning Z Long, L Che, Y Wang, M Ye, J Luo, J Wu, H Xiao, F Ma arXiv preprint arXiv:2012.03292, 2020 | 16 | 2020 |
| Advances in mining heterogeneous healthcare data F Ma, M Ye, J Luo, C Xiao, J Sun Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 11 | 2021 |
| Zero-resource hallucination prevention for large language models J Luo, C Xiao, F Ma arXiv preprint arXiv:2309.02654, 2023 | 9 | 2023 |
| Learning document embeddings with crossword prediction J Luo, M Yang, Y Shen, Q Qu, H Chai Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9993-9994, 2019 | 6 | 2019 |
| Medskim: Denoised health risk prediction via skimming medical claims data S Cui, J Luo, M Ye, J Wang, T Wang, F Ma 2022 IEEE International Conference on Data Mining (ICDM), 81-90, 2022 | 5 | 2022 |
| A benchmark dataset for understandable medical language translation J Luo, Z Zheng, H Ye, M Ye, Y Wang, Q You, C Xiao, F Ma arXiv preprint arXiv:2012.02420, 2020 | 5 | 2020 |
| Multi-task learning for author profiling with hierarchical features Z Jiang, S Yu, Q Qu, M Yang, J Luo, J Liu Companion Proceedings of the The Web Conference 2018, 55-56, 2018 | 4 | 2018 |
| Hierarchical pretraining on multimodal electronic health records X Wang, J Luo, J Wang, Z Yin, S Cui, Y Zhong, Y Wang, F Ma arXiv preprint arXiv:2310.07871, 2023 | 3 | 2023 |
| MedAttacker: Exploring black-box adversarial attacks on risk prediction models in healthcare M Ye, J Luo, G Zheng, C Xiao, H Xiao, T Wang, F Ma 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 3 | 2022 |
| Benchmarking automated clinical language simplification: Dataset, algorithm, and evaluation J Luo, Z Zheng, H Ye, M Ye, Y Wang, Q You, C Xiao, F Ma arXiv preprint arXiv:2012.02420, 2020 | 3 | 2020 |
