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ORCIDXiaoli Tang 0001
Person information
- affiliation: Nanyang Technological University, School of Computer Science and Engineering, Singapore
Other persons with the same name
- Xiaoli Tang — disambiguation page
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2020 – today
- 2026
[j12]Chao Ren
, Han Yu, Hongyi Peng, Xiaoli Tang, Bo Zhao, Liping Yi, Alysa Ziying Tan, Yulan Gao, Anran Li, Xiaoxiao Li, Zengxiang Li, Qiang Yang:
Advances and Open Challenges in Federated Foundation Models. IEEE Commun. Surv. Tutorials 28: 2087-2126 (2026)- 2025
- [j11]Xiaoli Tang, Han Yu:
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning. ACM Comput. Surv. 57(6): 150:1-150:36 (2025) - [j10]Xiaoli Tang, Han Yu:
Fairness-Aware Reverse Auction-Based Federated Learning. IEEE Internet Things J. 12(7): 8862-8872 (2025) - [j9]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:
Ten Challenging Problems in Federated Foundation Models. IEEE Trans. Knowl. Data Eng. 37(7): 4314-4337 (2025) - [j8]Xiaoli Tang, Han Yu:
A Cost-Aware Utility-Maximizing Bidding Strategy for Auction-Based Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 36(7): 12866-12879 (2025) - [c18]Xiaoli Tang, Han Yu:
Reputation-aware Revenue Allocation for Auction-based Federated Learning. AAAI 2025: 20832-20840 - [c17]Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li:
Multi-Session Budget Optimization for Forward Auction-based Federated Learning. ICML 2025 - [c16]Ying-Peng Tang, Chao Ren, Xiaoli Tang, Sheng-Jun Huang, Lizhen Cui, Han Yu:
Efficient Heterogeneity-Aware Federated Active Data Selection. ICML 2025 - [i11]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:
Ten Challenging Problems in Federated Foundation Models. CoRR abs/2502.12176 (2025) - 2024
- [j7]Xiaoli Tang, Han Yu:
Efficient Large-Scale Personalizable Bidding for Multiagent Auction-Based Federated Learning. IEEE Internet Things J. 11(15): 26518-26530 (2024) - [j6]Qianyu Li, Bozheng Feng, Xiaoli Tang, Han Yu, Hengjie Song:
MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion. Neural Networks 174: 106222 (2024) - [c15]Yuliang Shi, Lin Cheng, Cheng Jiang, Hui Zhang, Guifeng Li, Xiaoli Tang, Han Yu, Zhiqi Shen, Cyril Leung:
IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment. AAAI 2024: 22815-22823 - [c14]Hao Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu:
HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation. AAAI 2024: 22824-22832 - [c13]Qianyu Li, Xiaoli Tang, Siyao Zhou, Han Yu, Hengjie Song, Lizhen Cui, Xiaoxiao Li:
FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization. ICME 2024: 1-6 - [c12]Xiaoli Tang, Han Yu, Xiaoxiao Li:
Agent-Oriented Joint Decision Support for Data Owners in Auction-Based Federated Learning. ICME 2024: 1-6 - [c11]Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li:
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler. ICML 2024 - [c10]Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li:
Dual Calibration-based Personalised Federated Learning. IJCAI 2024: 4982-4990 - [c9]Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li:
A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. IJCAI 2024: 4991-4999 - [c8]Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus:
Intelligent Agents for Auction-based Federated Learning: A Survey. IJCAI 2024: 8253-8261 - [c7]Xiaoli Tang:
Stakeholder-oriented Decision Support for Auction-based Federated Learning. IJCAI 2024: 8514-8515 - [c6]Qianyu Li, Jiebin Chen, Xiaoli Tang, Han Yu, Hengjie Song:
Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process. IJCNN 2024: 1-8 - [c5]Xiaoli Tang, Han Yu:
Multi-Session Multi-Objective Budget Optimization for Auction-based Federated Learning. IJCNN 2024: 1-8 - [c4]Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu:
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. NeurIPS 2024 - [i10]Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus:
Intelligent Agents for Auction-based Federated Learning: A Survey. CoRR abs/2404.13244 (2024) - [i9]Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Anran Li, Yulan Gao, Alysa Ziying Tan, Bo Zhao, Xiaoxiao Li, Zengxiang Li, Qiang Yang:
Advances and Open Challenges in Federated Learning with Foundation Models. CoRR abs/2404.15381 (2024) - [i8]Xiaoli Tang, Han Yu, Xiaoxiao Li:
Agent-oriented Joint Decision Support for Data Owners in Auction-based Federated Learning. CoRR abs/2405.05991 (2024) - [i7]Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li:
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler. CoRR abs/2405.15458 (2024) - [i6]Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Han Yu:
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning. CoRR abs/2410.07286 (2024) - [i5]Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu:
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. CoRR abs/2410.19321 (2024) - 2023
- [j5]Qianyu Li, Jiale Yao, Xiaoli Tang, Han Yu, Siyu Jiang, Haizhi Yang, Hengjie Song:
Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion. Neural Networks 164: 323-334 (2023) - [j4]Haizhi Yang, Tengyun Wang, Xiaoli Tang, Han Yu, Fei Liu, Hengjie Song:
Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings. IEEE Trans. Knowl. Data Eng. 35(1): 362-376 (2023) - [c3]Xiaoli Tang, Han Yu:
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-Based Federated Learning. ICME 2023: 330-335 - [c2]Xiaoli Tang, Han Yu:
Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning. IJCAI 2023: 4262-4270 - [i4]Xiaoli Tang, Han Yu:
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. CoRR abs/2305.06784 (2023) - [i3]Has Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu:
Hierarchical Federated Learning Incentivization for Gas Usage Estimation. CoRR abs/2307.00233 (2023) - [i2]Xiaoli Tang, Han Yu:
Multi-Session Budget Optimization for Forward Auction-based Federated Learning. CoRR abs/2311.12548 (2023) - 2022
- [j3]Tengyun Wang, Haizhi Yang, Siyu Jiang, Yueyue Shi, Qianyu Li, Xiaoli Tang, Han Yu, Hengjie Song:
Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising. Knowl. Based Syst. 251: 109248 (2022) - [i1]Xiaoli Tang, Han Yu:
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning. CoRR abs/2210.07770 (2022) - 2021
- [c1]Haizhi Yang, Tengyun Wang, Xiaoli Tang, Qianyu Li, Yueyue Shi, Siyu Jiang, Han Yu, Hengjie Song:
Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising. CIKM 2021: 2291-2300 - 2020
- [j2]Xiaoli Tang, Rui Yuan, Qianyu Li, Tengyun Wang, Haizhi Yang, Yundong Cai, Hengjie Song:
Timespan-Aware Dynamic Knowledge Graph Embedding by Incorporating Temporal Evolution. IEEE Access 8: 6849-6860 (2020)
2010 – 2019
- 2019
- [j1]Qianyu Li, Xiaoli Tang, Tengyun Wang, Haizhi Yang, Hengjie Song:
Unifying Task-Oriented Knowledge Graph Learning and Recommendation. IEEE Access 7: 115816-115828 (2019)
Coauthor Index
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