Xiaoli Tang

42 papers A* 13A 4B 2Journal 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Advances and Open Challenges in Federated Foundation Models.
IEEE Commun. Surv. Tutorials
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
2026 A* conf
FedDiG: Frequency-Guided Diffusion Diversity for Generalizable Federated Time Series Classification.
WWW
Haoran Shi, Junru Zhang, Cheng Peng, Xiaoli Tang, Longtao Huang, Han Yu
2025 J jnl
A Cost-Aware Utility-Maximizing Bidding Strategy for Auction-Based Federated Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiaoli Tang, Han Yu
2025 A* conf
Efficient Heterogeneity-Aware Federated Active Data Selection.
ICML
Ying-Peng Tang, Chao Ren, Xiaoli Tang, Sheng-Jun Huang, Lizhen Cui, Han Yu
2025 J jnl
Fairness-Aware Reverse Auction-Based Federated Learning.
IEEE Internet Things J.
Xiaoli Tang, Han Yu
2025 A* conf
Multi-Session Budget Optimization for Forward Auction-based Federated Learning.
ICML
Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li
2025 A* conf
Reputation-aware Revenue Allocation for Auction-based Federated Learning.
AAAI
Xiaoli Tang, Han Yu
2025 J jnl
Ten Challenging Problems in Federated Foundation Models.
CoRR
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
2025 J jnl
Ten Challenging Problems in Federated Foundation Models.
IEEE Trans. Knowl. Data Eng.
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
2025 J jnl
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning.
ACM Comput. Surv.
Xiaoli Tang, Han Yu
2024 A* conf
A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning.
IJCAI
Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li
2024 J jnl
Advances and Open Challenges in Federated Learning with Foundation Models.
CoRR
Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Anran Li, Yulan Gao, Alysa Ziying Tan, Bo Zhao, Xiaoxiao Li, Zengxiang Li, Qiang Yang
2024 A conf
Agent-Oriented Joint Decision Support for Data Owners in Auction-Based Federated Learning.
ICME
Xiaoli Tang, Han Yu, Xiaoxiao Li
2024 J jnl
Agent-oriented Joint Decision Support for Data Owners in Auction-based Federated Learning.
CoRR
Xiaoli Tang, Han Yu, Xiaoxiao Li
2024 J jnl
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning.
CoRR
Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Han Yu
2024 A* conf
Dual Calibration-based Personalised Federated Learning.
IJCAI
Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li
2024 J jnl
Efficient Large-Scale Personalizable Bidding for Multiagent Auction-Based Federated Learning.
IEEE Internet Things J.
Xiaoli Tang, Han Yu
2024 A* conf
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler.
ICML
Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li
2024 J jnl
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler.
CoRR
Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li
2024 A conf
FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization.
ICME
Qianyu Li, Xiaoli Tang, Siyao Zhou, Han Yu, Hengjie Song, Lizhen Cui, Xiaoxiao Li
2024 A* conf
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning.
NeurIPS
Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu
2024 J jnl
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning.
CoRR
Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu
2024 A* conf
HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation.
AAAI
Hao Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu
2024 A* conf
IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment.
AAAI
Yuliang Shi, Lin Cheng, Cheng Jiang, Hui Zhang, Guifeng Li, Xiaoli Tang, Han Yu, Zhiqi Shen, Cyril Leung
2024 A* conf
Intelligent Agents for Auction-based Federated Learning: A Survey.
IJCAI
Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus
2024 J jnl
Intelligent Agents for Auction-based Federated Learning: A Survey.
CoRR
Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus
2024 B conf
Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process.
IJCNN
Qianyu Li, Jiebin Chen, Xiaoli Tang, Han Yu, Hengjie Song
2024 J jnl
MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion.
Neural Networks
Qianyu Li, Bozheng Feng, Xiaoli Tang, Han Yu, Hengjie Song
2024 B conf
Multi-Session Multi-Objective Budget Optimization for Auction-based Federated Learning.
IJCNN
Xiaoli Tang, Han Yu
2024 A* conf
Stakeholder-oriented Decision Support for Auction-based Federated Learning.
IJCAI
Xiaoli Tang
2023 J jnl
Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion.
Neural Networks
Qianyu Li, Jiale Yao, Xiaoli Tang, Han Yu, Siyu Jiang, Haizhi Yang, Hengjie Song
2023 A* conf
Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning.
IJCAI
Xiaoli Tang, Han Yu
2023 J jnl
Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings.
IEEE Trans. Knowl. Data Eng.
Haizhi Yang, Tengyun Wang, Xiaoli Tang, Han Yu, Fei Liu, Hengjie Song
2023 J jnl
Hierarchical Federated Learning Incentivization for Gas Usage Estimation.
CoRR
Has Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu
2023 J jnl
Multi-Session Budget Optimization for Forward Auction-based Federated Learning.
CoRR
Xiaoli Tang, Han Yu
2023 A conf
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-Based Federated Learning.
ICME
Xiaoli Tang, Han Yu
2023 J jnl
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning.
CoRR
Xiaoli Tang, Han Yu
2022 J jnl
Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising.
Knowl. Based Syst.
Tengyun Wang, Haizhi Yang, Siyu Jiang, Yueyue Shi, Qianyu Li, Xiaoli Tang, Han Yu, Hengjie Song
2022 J jnl
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning.
CoRR
Xiaoli Tang, Han Yu
2021 A conf
Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising.
CIKM
Haizhi Yang, Tengyun Wang, Xiaoli Tang, Qianyu Li, Yueyue Shi, Siyu Jiang, Han Yu, Hengjie Song
2020 J jnl
Timespan-Aware Dynamic Knowledge Graph Embedding by Incorporating Temporal Evolution.
IEEE Access
Xiaoli Tang, Rui Yuan, Qianyu Li, Tengyun Wang, Haizhi Yang, Yundong Cai, Hengjie Song
2019 J jnl
Unifying Task-Oriented Knowledge Graph Learning and Recommendation.
IEEE Access
Qianyu Li, Xiaoli Tang, Tengyun Wang, Haizhi Yang, Hengjie Song