| 2026 | WWW | FL@FM-TheWebConf'26: The 3rd International Workshop on Federated Foundation Models for the Web. | Irwin King, Guodong Long, Zenglin Xu, Han Yu, Xiaoli Tang, Liping Yi |
| 2026 | WWW | FedDiG: Frequency-Guided Diffusion Diversity for Generalizable Federated Time Series Classification. | Haoran Shi, Junru Zhang, Cheng Peng, Xiaoli Tang, Longtao Huang, Han Yu |
| 2025 | AAAI | Reputation-aware Revenue Allocation for Auction-based Federated Learning. | Xiaoli Tang, Han Yu |
| 2025 | IC3K | Identifying Innovation Frontiers Based on Prediction of Citation Network Links Between Papers and Patents. | Yongjie Li, Jian Zhu, Longchao Wang, Xiaoli Tang |
| 2025 | IC3K | CGNTM: Unsupervised Causal Topic Modeling with LLMs and Nonlinear Causal GNNs. | Peixuan Men, Longchao Wang, Aihua Li, Xiaoli Tang |
| 2025 | IC3K | WPCM: A Multi-Label Patent Classification Method Based on Weakly Supervised Learning. | Dechao Wang, Yongjie Li, Jian Zhu, Xiaoli Tang |
| 2025 | IC3K | Research on Frontier Discovery of Technological Innovation Based on Knowledge Flow. | Dechao Wang, Yongjie Li, Jian Zhu, Xiaoli Tang |
| 2025 | ICML | Multi-Session Budget Optimization for Forward Auction-based Federated Learning. | Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li |
| 2025 | ICML | Efficient Heterogeneity-Aware Federated Active Data Selection. | Ying-Peng Tang, Chao Ren, Xiaoli Tang, Sheng-Jun Huang, Lizhen Cui, Han Yu |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | ICASSP | Active Noise Control Over A Large Region with Multiple Spherical Microphone Arrays In Wave Domain. | Xiaoli Tang, Jihui Aimee Zhang, Thushara D. Abhayapala |
| 2024 | ICML | FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler. | Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li |
| 2024 | IJCAI | Intelligent Agents for Auction-based Federated Learning: A Survey. | Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus |
| 2024 | IJCAI | A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. | Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li |
| 2024 | IJCAI | Dual Calibration-based Personalised Federated Learning. | Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li |
| 2024 | IJCAI | Stakeholder-oriented Decision Support for Auction-based Federated Learning. | Xiaoli Tang |
| 2024 | IJCNN | Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process. | Qianyu Li, Jiebin Chen, Xiaoli Tang, Han Yu, Hengjie Song |
| 2024 | IJCNN | Multi-Session Multi-Objective Budget Optimization for Auction-based Federated Learning. | Xiaoli Tang, Han Yu |
| 2023 | IJCAI | Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning. | Xiaoli Tang, Han Yu |
| 2021 | CIKM | 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 |
| 2019 | KDD | AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation. | Xiaoli Tang, Tengyun Wang, Haizhi Yang, Hengjie Song |
| 2008 | ICMLA | Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques. | Tong Lin, Laura I. Cervino, Xiaoli Tang, Nuno Vasconcelos, Steve B. Jiang |
| 2008 | ICMLA | Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy. | Xiaoli Tang, Tong Lin, Steve B. Jiang |
| 2006 | ICIP | Lossy-To-Lossless Block-Based Compression of Hyperspectral Volumetric Data. | Xiaoli Tang, William A. Pearlman |
| 2005 | ICASSP | Scalable Hyperspectral Image Coding. | Xiaoli Tang, William A. Pearlman |
| 2004 | ICIP | Lossy-to-lossless block-based compression of hyperspectral volumetric data. | Xiaoli Tang, William A. Pearlman |
| 2004 | VCIP | Geometric-model-based segmentation of the prostate and surrounding structures for image-guided radiotherapy. | Xiaoli Tang, Yongwon Jeong, Richard J. Radke, George T. Y. Chen |
| 2004 | VCIP | Lossless compression for three-dimensional images. | Xiaoli Tang, William A. Pearlman |
| 2003 | DCC | Comparison of 3D Set Partitioning Methods in Hyperspectral Image Compression Featuring an Improved 3D-SPIHT. | Xiaoli Tang, Sungdae Cho, William A. Pearlman |
| 2003 | ICIP | 3D set partitioning coding methods in hyperspectral image compression. | Xiaoli Tang, Sungdae Cho, William A. Pearlman |