Large language models for generative information extraction: A survey D Xu, W Chen, W Peng, C Zhang, T Xu, X Zhao, X Wu, Y Zheng, E Chen arXiv preprint arXiv:2312.17617, 2023 | 24 | 2023 |
Relation-enhanced negative sampling for multimodal knowledge graph completion D Xu, T Xu, S Wu, J Zhou, E Chen Proceedings of the 30th ACM international conference on multimedia, 3857-3866, 2022 | 21 | 2022 |
Moelora: An moe-based parameter efficient fine-tuning method for multi-task medical applications Q Liu, X Wu, X Zhao, Y Zhu, D Xu, F Tian, Y Zheng arXiv preprint arXiv:2310.18339, 2023 | 18 | 2023 |
Graph convolutional networks by architecture search for PolSAR image classification H Liu, D Xu, T Zhu, F Shang, Y Liu, J Lu, R Yang Remote Sensing 13 (7), 1404, 2021 | 8 | 2021 |
Multimodal Biological Knowledge Graph Completion via Triple Co-attention Mechanism D Xu, J Zhou, T Xu, Y Xia, J Liu, E Chen, D Dou 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3928-3941, 2023 | 7 | 2023 |
Unified QA-aware knowledge graph generation based on multi-modal modeling P Qin, J Yu, Y Gao, D Xu, Y Chen, S Wu, T Xu, E Chen, Y Hao Proceedings of the 30th ACM International Conference on Multimedia, 7185-7189, 2022 | 7 | 2022 |
Are gpt embeddings useful for ads and recommendation? W Peng, D Xu, T Xu, J Zhang, E Chen International Conference on Knowledge Science, Engineering and Management …, 2023 | 6 | 2023 |
Social Context-aware GCN for Video Character Search via Scene-prior Enhancement W Peng, W He, D Xu, T Xu, C Zhu, E Chen 2023 IEEE International Conference on Multimedia and Expo (ICME), 2609-2614, 2023 | 1 | 2023 |
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models D Xu, Z Zhang, Z Lin, X Wu, Z Zhu, T Xu, X Zhao, Y Zheng, E Chen arXiv preprint arXiv:2403.01972, 2024 | | 2024 |
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models D Xu, Z Zhang, Z Zhu, Z Lin, Q Liu, X Wu, T Xu, X Zhao, Y Zheng, E Chen arXiv preprint arXiv:2402.18099, 2024 | | 2024 |
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement C Zhang, F Wu, J Yi, D Xu, Y Yu, J Wang, Y Wang, T Xu, X Xie, E Chen Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |