| Exploring and distilling posterior and prior knowledge for radiology report generation F Liu, X Wu, S Ge, W Fan, Y Zou CVPR, 2021 | 242 | 2021 |
| Competence-based multimodal curriculum learning for medical report generation F Liu, S Ge, Y Zou, X Wu ACL, 2022 | 139 | 2022 |
| Federated learning for vision-and-language grounding problems F Liu, X Wu, S Ge, W Fan, Y Zou AAAI, 2020 | 133 | 2020 |
| Contrastive attention for automatic chest x-ray report generation F Liu, C Yin, X Wu, S Ge, Y Zou, P Zhang, X Sun ACL (Findings), 2021 | 126 | 2021 |
| Aligning visual regions and textual concepts for semantic-grounded image representations F Liu, Y Liu, X Ren, X He, X Sun NeurIPS, 2019 | 120 | 2019 |
| simnet: Stepwise image-topic merging network for generating detailed and comprehensive image captions F Liu, X Ren, Y Liu, H Wang, X Sun EMNLP, 2018 | 112 | 2018 |
| Rethinking skip connection with layer normalization in transformers and resnets F Liu, X Ren, Z Zhang, X Sun, Y Zou COLING, 2021 | 102 | 2021 |
| Aligntransformer: Hierarchical alignment of visual regions and disease tags for medical report generation D You, F Liu, S Ge, X Xie, J Zhang, X Wu MICCAI, 2021 | 92 | 2021 |
| Auto-encoding knowledge graph for unsupervised medical report generation F Liu, C You, X Wu, S Ge, X Sun NeurIPS, 2021 | 91 | 2021 |
| Class-aware adversarial transformers for medical image segmentation C You, R Zhao, F Liu, S Dong, S Chinchali, U Topcu, L Staib, J Duncan NeurIPS, 2022 | 86 | 2022 |
| Non-autoregressive coarse-to-fine video captioning B Yang, Y Zou, F Liu, C Zhang AAAI, 2021 | 78* | 2021 |
| Prophet attention: Predicting attention with future attention F Liu, X Ren, X Wu, S Ge, W Fan, Y Zou, X Sun NeurIPS, 2020 | 74 | 2020 |
| Exploring and distilling cross-modal information for image captioning F Liu, X Ren, Y Liu, K Lei, X Sun IJCAI, 2020 | 72 | 2020 |
| End-to-end spoken conversational question answering: Task, dataset and model C You, N Chen, F Liu, S Ge, X Wu, Y Zou NAACL (Findings), 2022 | 56* | 2022 |
| Exploring semantic relationships for image captioning without parallel data F Liu, M Gao, T Zhang, Y Zou ICDM, 2019 | 48* | 2019 |
| Expectation-maximization contrastive learning for compact video-and-language representations P Jin, J Huang, F Liu, X Wu, S Ge, G Song, D Clifton, J Chen NeurIPS, 2022 | 37 | 2022 |
| Mine your own anatomy: Revisiting medical image segmentation with extremely limited labels C You, W Dai, F Liu, Y Min, H Su, X Zhang, X Li, DA Clifton, L Staib, ... arXiv preprint arXiv:2209.13476, 2022 | 34 | 2022 |
| Adaptive bi-directional attention: Exploring multi-granularity representations for machine reading comprehension N Chen, F Liu, C You, P Zhou, Y Zou ICASSP, 2021 | 32 | 2021 |
| O2na: An object-oriented non-autoregressive approach for controllable video captioning F Liu, X Ren, X Wu, B Yang, S Ge, Y Zou, X Sun ACL (Findings), 2021 | 31 | 2021 |
| Rethinking semi-supervised medical image segmentation: A variance-reduction perspective C You, W Dai, Y Min, F Liu, X Zhang, C Feng, DA Clifton, SK Zhou, ... NeurIPS, 2024 | 30 | 2024 |
