| Dan: Deep attention neural network for news recommendation Q Zhu, X Zhou, Z Song, J Tan, L Guo Proceedings of the AAAI conference on artificial intelligence 33 (01), 5973-5980, 2019 | 186 | 2019 |
| Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs. Q Zhu, X Zhou, J Wu, J Tan, L Guo ijcai, 1943-1949, 2019 | 143 | 2019 |
| A relation-specific attention network for joint entity and relation extraction Y Yuan, X Zhou, S Pan, Q Zhu, Z Song, L Guo International joint conference on artificial intelligence, 2021 | 112 | 2021 |
| A knowledge-aware attentional reasoning network for recommendation Q Zhu, X Zhou, J Wu, J Tan, L Guo Proceedings of the AAAI conference on artificial intelligence 34 (04), 6999-7006, 2020 | 77 | 2020 |
| Learning knowledge embeddings by combining limit-based scoring loss X Zhou, Q Zhu, P Liu, L Guo Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 52 | 2017 |
| How does knowledge graph embedding extrapolate to unseen data: a semantic evidence view R Li, Y Cao, Q Zhu, G Bi, F Fang, Y Liu, Q Li Proceedings of the AAAI conference on artificial intelligence 36 (5), 5781-5791, 2022 | 42 | 2022 |
| A neighborhood-attention fine-grained entity typing for knowledge graph completion J Zhuo, Q Zhu, Y Yue, Y Zhao, W Han Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 23 | 2022 |
| A neural translating general hyperplane for knowledge graph embedding Q Zhu, X Zhou, P Zhang, Y Shi Journal of computational science 30, 108-117, 2019 | 21 | 2019 |
| Knowledge base reasoning with convolutional-based recurrent neural networks Q Zhu, X Zhou, J Tan, L Guo IEEE Transactions on Knowledge and Data Engineering 33 (5), 2015-2028, 2019 | 18 | 2019 |
| Knowledge graph embedding by double limit scoring loss X Zhou, L Niu, Q Zhu, X Zhu, P Liu, J Tan, L Guo IEEE Transactions on Knowledge and Data Engineering 34 (12), 5825-5839, 2021 | 17 | 2021 |
| A gain-tuning dynamic negative sampler for recommendation Q Zhu, H Zhang, Q He, Z Dou Proceedings of the ACM Web Conference 2022, 277-285, 2022 | 14 | 2022 |
| A category-aware multi-interest model for personalized product search J Liu, Z Dou, Q Zhu, JR Wen Proceedings of the ACM Web Conference 2022, 360-368, 2022 | 14 | 2022 |
| Integrating representation and interaction for context-aware document ranking H Chen, Z Dou, Q Zhu, X Zuo, JR Wen ACM Transactions on Information Systems 41 (1), 1-23, 2023 | 11 | 2023 |
| Learning explicit user interest boundary for recommendation J Zhuo, Q Zhu, Y Yue, Y Zhao Proceedings of the ACM Web Conference 2022, 193-202, 2022 | 8 | 2022 |
| Learning knowledge graph embeddings via generalized hyperplanes Q Zhu, X Zhou, JL Tan, P Liu, L Guo Computational Science–ICCS 2018: 18th International Conference, Wuxi, China …, 2018 | 3 | 2018 |
| Is there more pattern in knowledge graph? exploring proximity pattern for knowledge graph embedding R Li, Y Cao, Q Zhu, X Li, F Fang arXiv preprint arXiv:2110.00720, 2021 | 2 | 2021 |
| Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism Y Zhou, Q Zhu, J Jin, Z Dou arXiv preprint arXiv:2402.10548, 2024 | 1 | 2024 |
| CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning Z He, X Wu, P Zhou, R Xuan, G Liu, X Yang, Q Zhu, H Huang arXiv preprint arXiv:2401.14011, 2024 | 1 | 2024 |
| Cognition-aware knowledge graph reasoning for explainable recommendation Q Bing, Q Zhu, Z Dou Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 1 | 2023 |
| Multilingual knowledge graph embeddings with neural networks Q Zhu, X Zhou, Y Wu, P Liu, L Guo Data Science: 6th International Conference, ICDS 2019, Ningbo, China, May 15 …, 2020 | 1 | 2020 |
Dou ZhichengRenmin University of ChinaVerified email at ruc.edu.cn
