| Jaket: Joint pre-training of knowledge graph and language understanding D Yu, C Zhu, Y Yang, M Zeng Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11630 …, 2022 | 124 | 2022 |
| Smartphone app usage prediction using points of interest D Yu, Y Li, F Xu, P Zhang, V Kostakos Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 105 | 2018 |
| Knowledge embedding based graph convolutional network D Yu, Y Yang, R Zhang, Y Wu Proceedings of the web conference 2021, 1619-1628, 2021 | 95 | 2021 |
| Graph-Revised Convolutional Network D Yu, R Zhang, Z Jiang, Y Wu, Y Yang ECML-PKDD 2020, 2019 | 91 | 2019 |
| Kg-fid: Infusing knowledge graph in fusion-in-decoder for open-domain question answering D Yu, C Zhu, Y Fang, W Yu, S Wang, Y Xu, X Ren, Y Yang, M Zeng arXiv preprint arXiv:2110.04330, 2021 | 83 | 2021 |
| Multi-site user behavior modeling and its application in video recommendation C Yang, H Yan, D Yu, Y Li, DM Chiu Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 58 | 2017 |
| Dict-bert: Enhancing language model pre-training with dictionary W Yu, C Zhu, Y Fang, D Yu, S Wang, Y Xu, M Zeng, M Jiang arXiv preprint arXiv:2110.06490, 2021 | 53 | 2021 |
| Decaf: Joint decoding of answers and logical forms for question answering over knowledge bases D Yu, S Zhang, P Ng, H Zhu, AH Li, J Wang, Y Hu, W Wang, Z Wang, ... arXiv preprint arXiv:2210.00063, 2022 | 32 | 2022 |
| Improving hyper-relational knowledge graph completion D Yu, Y Yang arXiv preprint arXiv:2104.08167, 2021 | 20 | 2021 |
| Item recommendation for word-of-mouth scenario in social E-commerce C Gao, C Huang, D Yu, H Fu, TH Lin, D Jin, Y Li IEEE Transactions on Knowledge and Data Engineering 34 (6), 2798-2809, 2020 | 10 | 2020 |
| Generalized Multi-Relational Graph Convolution Network D Yu, Y Yang, R Zhang, Y Wu ICML 2021 GPL+ Workshop, 2020 | 10 | 2020 |
| Long-tailed extreme multi-label text classification with generated pseudo label descriptions R Zhang, YS Wang, Y Yang, D Yu, T Vu, L Lei arXiv preprint arXiv:2204.00958, 2022 | 9 | 2022 |
| Long-tailed extreme multi-label text classification by the retrieval of generated pseudo label descriptions R Zhang, YS Wang, Y Yang, D Yu, T Vu, L Lei Findings of the Association for Computational Linguistics: EACL 2023, 1092-1106, 2023 | 5 | 2023 |
| Learning Relation Entailment with Structured and Textual Information Z Jiang, J Araki, D Yu, R Zhang, W Xu, Y Yang, G Neubig AKBC 2020, 2020 | 5 | 2020 |
| Correlation-aware change-point detection via graph neural networks R Zhang, Y Hao, D Yu, WC Chang, G Lai, Y Yang Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 4 | 2020 |
| Multi-LoRA Composition for Image Generation M Zhong, Y Shen, S Wang, Y Lu, Y Jiao, S Ouyang, D Yu, J Han, W Chen arXiv preprint arXiv:2402.16843, 2024 | 3 | 2024 |
| Retrieval-enhanced generative model for large-scale knowledge graph completion D Yu, Y Yang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 3 | 2023 |
| CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering D Yu, Y Gu, C Xiong, Y Yang Findings of the Association for Computational Linguistics: EMNLP 2023, 12748 …, 2023 | | 2023 |
| Leveraging Textual Semantics for Knowledge Graph Acquisition and Application D Yu Carnegie Mellon University, 2023 | | 2023 |
Yiming YangProfessor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
