| NSCaching: simple and efficient negative sampling for knowledge graph embedding Y Zhang, Q Yao, Y Shao, L Chen 2019 IEEE 35th International Conference on Data Engineering (ICDE), 614-625, 2019 | 154 | 2019 |
| Knowledge graph reasoning with relational digraph Y Zhang, Q Yao Proceedings of the ACM web conference 2022, 912-924, 2022 | 132 | 2022 |
| AutoSF: Searching Scoring Functions for Knowledge Graph Embedding Y Zhang, Q Yao, W Dai, L Chen 2020 IEEE 36th International Conference on Data Engineering (ICDE), 433-444, 2020 | 90 | 2020 |
| Adaprop: Learning adaptive propagation for graph neural network based knowledge graph reasoning Y Zhang, Z Zhou, Q Yao, X Chu, B Han Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 42* | 2023 |
| Transfer components between subjects for EEG-based driving fatigue detection YQ Zhang, WL Zheng, BL Lu Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015 | 35 | 2015 |
| Interstellar: Searching recurrent architecture for knowledge graph embedding Y Zhang, Q Yao, L Chen Advances in Neural Information Processing Systems 33, 10030-10040, 2020 | 31* | 2020 |
| Emerging drug interaction prediction enabled by a 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 3 (12), 1023-1033, 2023 | 25 | 2023 |
| Efficient relation-aware scoring function search for knowledge graph embedding DI Shimin, YAO Quanming, Y Zhang, C Lei 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1104-1115, 2021 | 22 | 2021 |
| Combining Self-Supervised and Supervised Learning with Noisy Labels Y Zhang, H Zhang, Q Yao, J Wan 2023 IEEE International Conference on Image Processing (ICIP), 605-609, 2023 | 21* | 2023 |
| Efficient hyper-parameter search for knowledge graph embedding Y Zhang, Z Zhou, Q Yao, Y Li Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 20* | 2022 |
| Bilinear scoring function search for knowledge graph learning Y Zhang, Q Yao, JT Kwok IEEE transactions on pattern analysis and machine intelligence 45 (2), 1458-1473, 2022 | 20 | 2022 |
| Simple and automated negative sampling for knowledge graph embedding Y Zhang, Q Yao, L Chen The VLDB Journal 30 (2), 259-285, 2021 | 14* | 2021 |
| Xogan: One-to-many unsupervised image-to-image translation Y Zhang arXiv preprint arXiv:1805.07277, 2018 | 11 | 2018 |
| Understanding Expressivity of GNN in Rule Learning H Qiu, Y Zhang, Y Li, Q Yao The Twelfth International Conference on Learning Representations (ICLR), 2024 | 5* | 2024 |
| 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 |
| Automated Machine Learning: From Principles to Practices Z Shen, Y Zhang, L Wei, H Zhao, Q Yao arXiv preprint arXiv:1810.13306v5, 2024 | 4* | 2024 |
| Positive-unlabeled node classification with structure-aware graph learning H Yang, Y Zhang, Q Yao, J Kwok Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 4 | 2023 |
| Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph G Liu, Y Zhang, Y Li, Q Yao arXiv preprint arXiv:2406.01145, 2024 | 3 | 2024 |
| Dynamic spatial–temporal model for carbon emission forecasting M Gong, Y Zhang, J Li, L Chen Journal of Cleaner Production 463, 142581, 2024 | 2 | 2024 |
| Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs Z Zhou, Y Zhang, J Yao, Q Yao, B Han The Twelfth International Conference on Learning Representations (ICLR), 2024 | 2 | 2024 |
Quanming YaoAssistant Professor, EE Department, Tsinghua UniversityVerified email at tsinghua.edu.cn
