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Fenglin Liu
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Year
Exploring and distilling posterior and prior knowledge for radiology report generation
F Liu, X Wu, S Ge, W Fan, Y Zou
CVPR, 2021
3382021
Competence-based multimodal curriculum learning for medical report generation
F Liu, S Ge, Y Zou, X Wu
ACL, 2022
1802022
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
1792021
Federated learning for vision-and-language grounding problems
F Liu, X Wu, S Ge, W Fan, Y Zou
AAAI, 2020
1532020
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
1412021
Aligning visual regions and textual concepts for semantic-grounded image representations
F Liu, Y Liu, X Ren, X He, X Sun
NeurIPS, 2019
1342019
Auto-encoding knowledge graph for unsupervised medical report generation
F Liu, C You, X Wu, S Ge, X Sun
NeurIPS, 2021
1252021
Rethinking skip connection with layer normalization in transformers and resnets
F Liu, X Ren, Z Zhang, X Sun, Y Zou
COLING, 2021
1252021
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
1232022
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
1162018
Non-autoregressive coarse-to-fine video captioning
B Yang, Y Zou, F Liu, C Zhang
AAAI, 2021
932021
A survey of large language models in medicine: Progress, application, and challenge
H Zhou, B Gu, X Zou, Y Li, SS Chen, P Zhou, J Liu, Y Hua, C Mao, X Wu, ...
arXiv preprint arXiv:2311.05112, 2023
782023
Exploring and distilling cross-modal information for image captioning
F Liu, X Ren, Y Liu, K Lei, X Sun
IJCAI, 2020
762020
Prophet attention: Predicting attention with future attention
F Liu, X Ren, X Wu, S Ge, W Fan, Y Zou, X Sun
NeurIPS, 2020
762020
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
64*2022
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
622022
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
612024
Benchmarking Large Language Models on CMExam--A Comprehensive Chinese Medical Exam Dataset
J Liu, P Zhou, Y Hua, D Chong, Z Tian, A Liu, H Wang, C You, Z Guo, ...
NeurIPS, 2024
552024
Exploring semantic relationships for image captioning without parallel data
F Liu, M Gao, T Zhang, Y Zou
ICDM, 2019
50*2019
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, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
482024
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