| 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 | 111 | 2019 |
| 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 | 12 | 2021 |
| Utility-maximizing bidding strategy for data consumers in auction-based federated learning X Tang, H Yu 2023 IEEE International Conference on Multimedia and Expo (ICME), 330-335, 2023 | 8 | 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 164, 323-334, 2023 | 5 | 2023 |
| Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning. X Tang, H Yu IJCAI, 4262-4270, 2023 | 3 | 2023 |
| 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 | 3 | 2021 |
| Advances and open challenges in federated learning with foundation models C Ren, H Yu, H Peng, X Tang, A Li, Y Gao, AZ Tan, B Zhao, X Li, Z Li, ... arXiv preprint arXiv:2404.15381, 2024 | 2 | 2024 |
| Multi-session budget optimization for forward auction-based federated learning X Tang, H Yu arXiv preprint arXiv:2311.12548, 2023 | 2 | 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 | 2 | 2022 |
| Agent-oriented Joint Decision Support for Data Owners in Auction-based Federated Learning X Tang, H Yu, X Li arXiv preprint arXiv:2405.05991, 2024 | 1 | 2024 |
| Intelligent Agents for Auction-based Federated Learning: A Survey X Tang, H Yu, X Li, S Kraus arXiv preprint arXiv:2404.13244, 2024 | 1 | 2024 |
| Hierarchical Federated Learning Incentivization for Gas Usage Estimation H Sun, X Tang, C Yang, Z Yu, X Wang, Q Ding, Z Li, H Yu arXiv preprint arXiv:2307.00233, 2023 | 1 | 2023 |
| 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 | | 2024 |
| FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler H Peng, H Yu, X Tang, X Li arXiv preprint arXiv:2405.15458, 2024 | | 2024 |
| Efficient Large-Scale Personalizable Bidding for Multi-Agent Auction-Based Federated Learning X Tang, H Yu IEEE Internet of Things Journal, 2024 | | 2024 |
| IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment Y Shi, L Cheng, C Jiang, H Zhang, G Li, X Tang, H Yu, Z Shen, C Leung Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 22815 …, 2024 | | 2024 |
| HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation H Sun, X Tang, C Yang, Z Yu, X Wang, Q Ding, Z Li, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 22824 …, 2024 | | 2024 |
| Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning X Tang, H Yu arXiv preprint arXiv:2210.07770, 2022 | | 2022 |
