| Knowledge Graph Embedding: A Survey of Approaches and Applications Q Wang, Z Mao, B Wang, L Guo IEEE Transactions on Knowledge and Data Engineering (TKDE) 29 (12), 2724-2743, 2017 | 2697 | 2017 |
| Jointly Embedding Knowledge Graphs and Logical Rules S Guo, Q Wang, L Wang, B Wang, L Guo EMNLP'16, 192-202, 2016 | 322 | 2016 |
| Knowledge Graph Embedding with Iterative Guidance from Soft Rules S Guo, Q Wang, L Wang, B Wang, L Guo AAAI'18, 4816-4823, 2018 | 257 | 2018 |
| Knowledge Base Completion Using Embeddings and Rules Q Wang, B Wang, L Guo IJCAI'15, 1859-1865, 2015 | 233 | 2015 |
| Adaptive Convolution for Multi-Relational Learning X Jiang, Q Wang, B Wang NAACL’19, 978-987, 2019 | 183 | 2019 |
| Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension A Yang, Q Wang, J Liu, K Liu, Y Lyu, H Wu, Q She, S Li ACL'19, 2346-2357, 2019 | 183 | 2019 |
| Curriculum Learning for Natural Language Understanding B Xu, L Zhang, Z Mao, Q Wang, H Xie, Y Zhang ACL'20, 6095-6104, 2020 | 176 | 2020 |
| Semantically Smooth Knowledge Graph Embedding S Guo, Q Wang, B Wang, L Wang, L Guo ACL'15, 84-94, 2015 | 176 | 2015 |
| Event Extraction as Multi-turn Question Answering F Li, W Peng, Y Chen, Q Wang, L Pan, Y Lyu, Y Zhu Findings of EMNLP'20, 829-838, 2020 | 175 | 2020 |
| Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks X Jiang, Q Wang, P Li, B Wang COLING'16, 1471-1480, 2016 | 164 | 2016 |
| Improving Knowledge Graph Embedding Using Simple Constraints B Ding, Q Wang, B Wang, L Guo ACL'18, 110-121, 2018 | 152 | 2018 |
| Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction B Xu, Q Wang, Y Lyu, Y Zhu, Z Mao AAAI'21, 14149-14157, 2021 | 147 | 2021 |
| Constructing and Embedding Abstract Event Causality Networks from Text Snippets S Zhao, Q Wang, S Massung, B Qin, T Liu, B Wang, CX Zhai WSDM'17, 335-344, 2017 | 117 | 2017 |
| Multi-Granularity Chinese Word Embedding R Yin, Q Wang, R Li, P Li, B Wang EMNLP'16, 981-986, 2016 | 116 | 2016 |
| CoKE: Contextualized Knowledge Graph Embedding Q Wang, P Huang, H Wang, S Dai, W Jiang, J Liu, Y Lyu, Y Zhu, H Wu arXiv preprint arXiv:1911.02168, 2019 | 114 | 2019 |
| Negative-Aware Attention Framework for Image-Text Matching K Zhang, Z Mao, Q Wang, Y Zhang CVPR'22, 15661-15670, 2022 | 108 | 2022 |
| Regularized Latent Semantic Indexing Q Wang, J Xu, H Li, N Craswell SIGIR’11, 685-694, 2011 | 105 | 2011 |
| Knowledge Base Completion via Coupled Path Ranking Q Wang, J Liu, Y Luo, B Wang, CY Lin ACL'16, 1308-1318, 2016 | 96 | 2016 |
| ExpertPrompting: Instructing Large Language Models to be Distinguished Experts B Xu, A Yang, J Lin, Q Wang, C Zhou, Y Zhang, Z Mao arXiv preprint arXiv:2305.14688, 2023 | 62 | 2023 |
| Regularized Latent Semantic Indexing: A New Approach to Large-Scale Topic Modeling Q Wang, J Xu, H Li, N Craswell ACM Transactions on Information Systems (TOIS) 31 (1), 5, 2013 | 62 | 2013 |
Zhendong MaoUniversity of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
