Tang Xiaoli
Tang Xiaoli
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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
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
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
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
X Tang, H Yu
arXiv preprint arXiv:2305.06784, 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
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
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
Multi-Session Budget Optimization for Forward Auction-based Federated Learning
X Tang, H Yu
arXiv preprint arXiv:2311.12548, 2023
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
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning
X Tang, H Yu
arXiv preprint arXiv:2210.07770, 2022
Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning
X Tang, H Yu
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