| Unifying task-oriented knowledge graph learning and recommendation Q Li, X Tang, T Wang, H Yang, H Song IEEE Access 7, 115816-115828, 2019 | 37 | 2019 |
| Timespan-aware dynamic knowledge graph embedding by incorporating temporal evolution X Tang, R Yuan, Q Li, T Wang, H Yang, Y Cai, H Song IEEE Access 8, 6849-6860, 2020 | 31 | 2020 |
| Multi-task learning for bias-free joint ctr prediction and market price modeling in online advertising H Yang, T Wang, X Tang, Q Li, Y Shi, S Jiang, H Yu, H Song Proceedings of the 30th ACM International Conference on Information …, 2021 | 16 | 2021 |
| Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion Q Li, J Yao, X Tang, H Yu, S Jiang, H Yang, H Song Neural Networks 164, 323-334, 2023 | 13 | 2023 |
| Kaplan–Meier Markov network: Learning the distribution of market price by censored data in online advertising T Wang, H Yang, S Jiang, Y Shi, Q Li, X Tang, H Yu, H Song Knowledge-Based Systems 251, 109248, 2022 | 3 | 2022 |
| MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion Q Li, B Feng, X Tang, H Yu, H Song Neural Networks 174, 106222, 2024 | 2 | 2024 |
| FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization Q Li, X Tang, S Zhou, H Yu, H Song, L Cui, X Li 2024 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2024 | | 2024 |
| Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process Q Li, J Chen, X Tang, H Yu, H Song 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
