| PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction H Zheng, R Wen, X Chen, Y Yang, Y Zhang, Z Zhang, N Zhang, B Qin, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 220 | 2021 |
| Forecasting the Long-term Trend of COVID-19 Epidemic using a Dynamic Model J Sun, X Chen, Z Zhang, S Lai, B Zhao, H Liu, S Wang, W Huan, R Zhao, ... Scientific reports 10 (1), 1-10, 2020 | 93 | 2020 |
| Multimodal Deep Learning Framework for Mental Disorder Recognition Z Zhang, W Lin, M Liu, M Mahmoud Proceedings of the 15th IEEE International Conference on Automatic Face and …, 2020 | 78 | 2020 |
| Multi-modal Contrastive Representation Learning for Entity Alignment Z Lin, Z Zhang, M Wang, Y Shi, X Wu, Y Zheng Proceedings of the 29th International Conference on Computational Linguistics, 2022 | 61 | 2022 |
| OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding Y Xiang, Z Zhang, J Chen, X Chen, Z Lin, Y Zheng Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 56 | 2021 |
| An Industry Evaluation of Embedding-based Entity Alignment Z Zhang, J Chen, X Chen, H Liu, Y Xiang, B Liu, Y Zheng Proceedings of the 28th International Conference on Computational …, 2020 | 46 | 2020 |
| Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding Z Qi, Z Zhang, J Chen, X Chen, Y Xiang, N Zhang, Y Zheng Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 32 | 2021 |
| Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network Y Zhang, Q Yao, L Yue, X Wu, Z Zhang, Z Lin, Y Zheng Nature Computational Science, 2023 | 28 | 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 Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 17 | 2024 |
| Probing the Impacts of Visual Context in Multimodal Entity Alignment M Wang, Y Shi, H Yang, Z Zhang, Z Lin, Y Zheng Data Science and Engineering 8 (2), 124-134, 2023 | 13 | 2023 |
| 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 Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 11 | 2024 |
| Understanding Patient Query with Weak Supervision from Doctor Response X Shi, S Zhao, Y Wang, X Chen, Z Zhang, Y Zheng, W Che IEEE Journal of Biomedical and Health Informatics 26 (6), 2770-2777, 2021 | 8 | 2021 |
| Relation-aware Ensemble Learning for Knowledge Graph Embedding L Yue, Y Zhang, Q Yao, Y Li, X Wu, Z Zhang, Z Lin, Y Zheng Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 5 | 2023 |
| Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words H Wang, C Liu, N Xi, S Zhao, M Ju, S Zhang, Z Zhang, Y Zheng, B Qin, ... Proceedings of the 29th International Conference on Computational Linguistics, 2022 | 5 | 2022 |
| Probing the Impacts of Visual Context in Multimodal Entity Alignment Y Shi, M Wang, Z Zhang, Z Lin, Y Zheng Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2022 | 5 | 2022 |
| PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System Z Qi, Z Zhang, J Chen, X Chen, Y Zheng Proceedings of the 30th ACM International Conference on Information …, 2021 | 5 | 2021 |
| Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding D Xu, Z Zhang, Z Zhu, Z Lin, Q Liu, X Wu, T Xu, X Zhao, Y Zheng, E Chen Findings of the Association for Computational Linguistics: EMNLP 2024, 7744-7757, 2024 | 2 | 2024 |
| Improving Biomedical Entity Linking with Retrieval-Enhanced Learning Z Lin, Z Zhang, X Wu, Y Zheng ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Biomedical Entity Linking as Multiple Choice Question Answering Z Lin, Z Zhang, X Wu, Y Zheng Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 1 | 2024 |
| Training a Knowledge Graph Alignment Model based on Predicted Alignment Probabilities and Alignment Difficulty Degrees of Entity Pairs Z Zhang, Z Qi, S Lai, X Chen US Patent App. 17/991,602, 2023 | | 2023 |
Yefeng ZhengProfessor, Westlake University, Hangzhou, China, IEEE Fellow, AIMBE FellowVerified email at westlake.edu.cn
