Xiaoli Tang

According to our database, Xiaoli Tang authored at least 31 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Cost-Aware Utility-Maximizing Bidding Strategy for Auction-Based Federated Learning.

Xiaoli Tang, Han Yu

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Ten Challenging Problems in Federated Foundation Models.

Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen, Yiqiang Chen, Yihui Feng, Yang Gu, Jiaxiang Geng, Bing Luo, Shuoling Liu, WinKent Ong, Chao Ren, Jiaqi Shao, Chuan Sun, Xiaoli Tang, Hong Xi Tae, Yongxin Tong, Shuyue Wei, Fan Wu, Wei Xi, Mingcong Xu, He Yang, Xin Yang, Jiangpeng Yan, Hao Yu, Han Yu, Teng Zhang, Yifei Zhang, Xiaojin Zhang, Zhenzhe Zheng, Lixin Fan, Qiang Yang

IEEE Trans. Knowl. Data Eng., July, 2025

Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning.

Xiaoli Tang, Han Yu

ACM Comput. Surv., June, 2025

Fairness-Aware Reverse Auction-Based Federated Learning.

Xiaoli Tang, Han Yu

IEEE Internet Things J., April, 2025

Reputation-aware Revenue Allocation for Auction-based Federated Learning.

Xiaoli Tang, Han Yu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion.

Qianyu Li, Bozheng Feng, Xiaoli Tang, Han Yu, Hengjie Song

Neural Networks, 2024

Efficient Large-Scale Personalizable Bidding for Multiagent Auction-Based Federated Learning.

Xiaoli Tang, Han Yu

IEEE Internet Things J., 2024

Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning.

Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Han Yu

CoRR, 2024

Advances and Open Challenges in Federated Learning with Foundation Models.

Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Anran Li, Yulan Gao, Alysa Ziying Tan, Bo Zhao, Xiaoxiao Li, Zengxiang Li, Qiang Yang

CoRR, 2024

Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning.

Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-Session Multi-Objective Budget Optimization for Auction-based Federated Learning.

Xiaoli Tang, Han Yu

Proceedings of the International Joint Conference on Neural Networks, 2024

Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process.

Qianyu Li, Jiebin Chen, Xiaoli Tang, Han Yu, Hengjie Song

Proceedings of the International Joint Conference on Neural Networks, 2024

Stakeholder-oriented Decision Support for Auction-based Federated Learning.

Xiaoli Tang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dual Calibration-based Personalised Federated Learning.

Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning.

Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Intelligent Agents for Auction-based Federated Learning: A Survey.

Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler.

Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Agent-Oriented Joint Decision Support for Data Owners in Auction-Based Federated Learning.

Xiaoli Tang, Han Yu, Xiaoxiao Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization.

Qianyu Li, Xiaoli Tang, Siyao Zhou, Han Yu, Hengjie Song, Lizhen Cui, Xiaoxiao Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation.

Hao Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment.

Yuliang Shi, Lin Cheng, Cheng Jiang, Hui Zhang, Guifeng Li, Xiaoli Tang, Han Yu, Zhiqi Shen, Cyril Leung

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion.

Qianyu Li, Jiale Yao, Xiaoli Tang, Han Yu, Siyu Jiang, Haizhi Yang, Hengjie Song

Neural Networks, July, 2023

Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings.

Haizhi Yang, Tengyun Wang, Xiaoli Tang, Han Yu, Fei Liu, Hengjie Song

IEEE Trans. Knowl. Data Eng., 2023

Multi-Session Budget Optimization for Forward Auction-based Federated Learning.

Xiaoli Tang, Han Yu

CoRR, 2023

Hierarchical Federated Learning Incentivization for Gas Usage Estimation.

Has Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu

CoRR, 2023

Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning.

Xiaoli Tang, Han Yu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Utility-Maximizing Bidding Strategy for Data Consumers in Auction-Based Federated Learning.

Xiaoli Tang, Han Yu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising.

Tengyun Wang, Haizhi Yang, Siyu Jiang, Yueyue Shi, Qianyu Li, Xiaoli Tang, Han Yu, Hengjie Song

Knowl. Based Syst., 2022

2021

Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising.

Haizhi Yang, Tengyun Wang, Xiaoli Tang, Qianyu Li, Yueyue Shi, Siyu Jiang, Han Yu, Hengjie Song

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Timespan-Aware Dynamic Knowledge Graph Embedding by Incorporating Temporal Evolution.

Xiaoli Tang, Rui Yuan, Qianyu Li, Tengyun Wang, Haizhi Yang, Yundong Cai, Hengjie Song

IEEE Access, 2020

2019

Unifying Task-Oriented Knowledge Graph Learning and Recommendation.

Qianyu Li, Xiaoli Tang, Tengyun Wang, Haizhi Yang, Hengjie Song

IEEE Access, 2019