| Slake: A semantically-labeled knowledge-enhanced dataset for medical visual question answering B Liu, LM Zhan, L Xu, L Ma, Y Yang, XM Wu 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1650-1654, 2021 | 112 | 2021 |
| Medical visual question answering via conditional reasoning LM Zhan*, B Liu*, L Fan, J Chen, XM Wu Proceedings of the 28th ACM International Conference on Multimedia, 2345-2354, 2020 | 103 | 2020 |
| Contrastive pre-training and representation distillation for medical visual question answering based on radiology images B Liu, LM Zhan, XM Wu Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 65 | 2021 |
| Out-of-scope intent detection with self-supervision and discriminative training LM Zhan, H Liang, B Liu, L Fan, XM Wu, A Lam Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 62 | 2021 |
| Modeling User Behavior with Graph Convolution for Personalized Product Search L Fan, Q Li, B Liu, XM Wu, X Zhang, F Lv, G Lin, S Li, T Jin, K Yang Proceedings of the ACM Web Conference 2022, 203-212, 2022 | 13 | 2022 |
| Medical Visual Question Answering via Conditional Reasoning and Contrastive Learning B Liu, LM Zhan, L Xu, XM Wu IEEE Transactions on Medical Imaging 42 (5), 1532-1545, 2022 | 11 | 2022 |
| Towards LLM-driven Dialogue State Tracking Y Feng, Z Lu, B Liu, L Zhan, XM Wu Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 4 | 2023 |
| Multi-modal pre-training for medical vision-language understanding and generation: An empirical study with a new benchmark L Xu, B Liu, AH Khan, L Fan, XM Wu Conference on Health, Inference, and Learning, 117-132, 2023 | 4 | 2023 |
| How Good Are Large Language Models at Out-of-Distribution Detection? B Liu, L Zhan, Z Lu, Y Feng, L Xue, XM Wu arXiv preprint arXiv:2308.10261, 2023 | 2 | 2023 |
| VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection LM Zhan, B Liu, XM Wu arXiv preprint arXiv:2404.06217, 2024 | | 2024 |
| Making Multimodal Generation Easier: When Diffusion Models Meet LLMs X Zhao, B Liu, Q Liu, G Shi, XM Wu arXiv preprint arXiv:2310.08949, 2023 | | 2023 |
Xiao-Ming WuAssociate Professor, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Xiao-Ming WuAssociate Professor, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk