| Knowledge graph embedding: A survey of approaches and applications Q Wang, Z Mao, B Wang, L Guo IEEE Transactions on Knowledge and Data Engineering 29 (12), 2724-2743, 2017 | 2647 | 2017 |
| Sequential click prediction for sponsored search with recurrent neural networks Y Zhang, H Dai, C Xu, J Feng, T Wang, J Bian, B Wang, TY Liu Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 407 | 2014 |
| Jointly embedding knowledge graphs and logical rules S Guo, Q Wang, L Wang, B Wang, L Guo Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 316 | 2016 |
| Query dependent pseudo-relevance feedback based on wikipedia Y Xu, GJF Jones, B Wang Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009 | 295 | 2009 |
| Knowledge graph embedding with iterative guidance from soft rules S Guo, Q Wang, L Wang, B Wang, L Guo Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 253 | 2018 |
| Graph structured network for image-text matching C Liu, Z Mao, T Zhang, H Xie, B Wang, Y Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 240 | 2020 |
| Knowledge base completion using embeddings and rules Q Wang, B Wang, L Guo Twenty-fourth international joint conference on artificial intelligence, 2015 | 229 | 2015 |
| Joint extraction of entities and relations based on a novel decomposition strategy B Yu, Z Zhang, X Shu, T Liu, Y Wang, B Wang, S Li ECAI 2020, 2282-2289, 2020 | 197 | 2020 |
| Focus your attention: A bidirectional focal attention network for image-text matching C Liu, Z Mao, AA Liu, T Zhang, B Wang, Y Zhang Proceedings of the 27th ACM International Conference on Multimedia, 3-11, 2019 | 179 | 2019 |
| Semantically smooth knowledge graph embedding S Guo, Q Wang, B Wang, L Wang, L Guo Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 175 | 2015 |
| Adaptive convolution for multi-relational learning X Jiang, Q Wang, B Wang Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 174 | 2019 |
| 基于内容的垃圾邮件过滤技术 王斌， 潘文锋 中国信息学报 19 (5), 3-12, 2005 | 174* | 2005 |
| Relation extraction with multi-instance multi-label convolutional neural networks X Jiang, Q Wang, P Li, B Wang Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 163 | 2016 |
| A novel refinement approach for text categorization S Tan, X Cheng, MM Ghanem, B Wang, H Xu Proceedings of the 14th ACM international conference on Information and …, 2005 | 161 | 2005 |
| Question-answer topic model for question retrieval in community question answering Z Ji, F Xu, B Wang, B He Proceedings of the 21st ACM international conference on Information and …, 2012 | 154 | 2012 |
| Improving knowledge graph embedding using simple constraints B Ding, Q Wang, B Wang, L Guo Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 151 | 2018 |
| Constructing and embedding abstract event causality networks from text snippets S Zhao, Q Wang, S Massung, B Qin, T Liu, B Wang, CX Zhai Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017 | 116 | 2017 |
| A study on mutual information-based feature selection for text categorization Y Xu, GJF Jones, JT Li, B Wang, CM Sun Journal of Computational Information Systems 3 (3), 1007-1012, 2007 | 116 | 2007 |
| Multi-granularity chinese word embedding R Yin, Q Wang, P Li, R Li, B Wang Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 114 | 2016 |
| Relation structure-aware heterogeneous graph neural network S Zhu, C Zhou, S Pan, X Zhu, B Wang 2019 IEEE International Conference on Data Mining (ICDM), 1534-1539, 2019 | 107 | 2019 |
Quan Wang (王泉)Beijing University of Posts and Telecommunications在 bupt.edu.cn 的电子邮件经过验证
