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Tang Xiaoli
Tang Xiaoli
Verified email at e.ntu.edu.sg
Title
Cited by
Cited by
Year
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
1072019
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
122021
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
72023
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
42023
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
32021
Multi-Session Budget Optimization for Forward Auction-based Federated Learning
X Tang, H Yu
arXiv preprint arXiv:2311.12548, 2023
22023
Competitive-cooperative multi-agent reinforcement learning for auction-based federated learning
X Tang, H Yu
Proceedings of the Thirty-Second International Joint Conference on …, 2023
22023
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
22022
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
12024
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
12024
Intelligent Agents for Auction-based Federated Learning: A Survey
X Tang, H Yu, X Li, S Kraus
arXiv preprint arXiv:2404.13244, 2024
12024
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
12023
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
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, 106222, 2024
2024
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning
X Tang, H Yu
arXiv preprint arXiv:2210.07770, 2022
2022
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