| AKUPM: Attention-enhanced knowledge-aware user preference model for recommendation X Tang, T Wang, H Yang, H Song Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 76 | 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 | 19 | 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 | 6 | 2021 |
| Dynamically optimizing display advertising profits under diverse budget settings H Yang, T Wang, X Tang, H Yu, F Liu, H Song IEEE Transactions on Knowledge and Data Engineering 35 (1), 362-376, 2021 | 2 | 2021 |
| 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 | 1 | 2022 |
| Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning X Tang, H Yu arXiv preprint arXiv:2305.06784, 2023 | | 2023 |
| 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, 2023 | | 2023 |
| Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning X Tang, H Yu arXiv preprint arXiv:2210.07770, 2022 | | 2022 |
