- 2025 -
S. Yang, Z. Chen, Y. Lin, G. Cai, X. Chen, H. Yu & P. Wu, "A Survey on Vision-Language Models for Multimodal Federated Learning Tasks," TechRxiv, doi:10.36227/techrxiv.175624545.56457516/v1, 2025.
T. Fan, H. Gu, X. Cao, C. S. Chan, Q. Chen, Y. Chen, Y. Feng, Y. Gu, J. Geng, B. Luo, S. Liu, W. K. Ong, C. Ren, J.i Shao, C. Sun, X. Tang, H. X. Tae, Y. Tong, S. Wei, F. Wu, W. Xi, M. Xu, H. Yang, X. Yang, J. Yan, H. Yu, H. Yu, T. Zhang, Y. Zhang, X. Zhang, Z. Zheng, L. Fan & Q. Yang, "Ten Challenging Problems in Federated Foundation Models," arXiv preprint arXiv:2502.12176, 2025.
- 2024 -
L. Yi, H. Yu, C. Ren, G. Wang, X. Liu & X. Li, "Federated Model Heterogeneous Matryoshka Representation Learning," arXiv preprint arXiv:2406.00488, 2024.
L. Yi, H. Yu, C. Ren, H. Zhang, G. Wang, X. Liu & X. Li, "pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning," arXiv preprint arXiv:2404.17847, 2024.
C. Ren, H. Yu, H. Peng, X. Tang, B. Zhao, L. Yi, A. Z. Tan, Y. Gao, A. Li, X. Li, Z. Li & Q. Yang, "Advances and Open Challenges in Federated Foundation Models," arXiv preprint arXiv:2404.15381, 2024.
L. Yi, H. Yu, C. Ren, H. Zhang, G. Wang, X. Liu & X. Li, "pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning," arXiv preprint arXiv:2402.01350, 2024.
- 2023 -
L. Yi, H. Yu, Z. Shi, G. Wang, X. Liu, L. Cui & X. Li, "FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning," arXiv preprint arXiv:2311.06879, 2023.
X. Tang & H. Yu, "Multi-Session Budget Optimization for Forward Auction-based Federated Learning," arXiv preprint arXiv:2311.12548, 2023.
L. Yi, H. Yu, G. Wang & X. Liu, "pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing," arXiv preprint arXiv:2311.06879, 2023.
L. Yi, H. Yu, G. Wang, X. Liu & X. Li, "pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning," arXiv preprint arXiv:2310.13283, 2023.
X. Tan & H. Yu, "Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated Learning," arXiv preprint arXiv:2310.02651, 2023.
Z. Xiong, Y. Zhang, Z. Shen, P. Ren & H. Yu, "Image Aesthetics Assessment via Learnable Queries," arXiv preprint arXiv:2309.02861, 2023.
P. Xing, S. Lu & H. Yu, "FedLogic: Interpretable Federated Multi-Domain Chain-of-Thought Prompt Selection for Large Language Models," arXiv preprint arXiv:2308.15324, 2023.
Y. Zhang & H. Yu, "LR-XFL: Logical Reasoning-based Explainable Federated Learning," arXiv preprint arXiv:2308.12681, 2023.
R. Liu, Y. Chen, A. Li, Y. Ding, H. Yu & C. Guan, "Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning," arXiv preprint arXiv:2308.11636, 2023.
Y. Gao, H. Sun, Z. Li & H. Yu, "The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers," arXiv preprint arXiv:2308.03945, 2023.
C. Ren, H. Yu, R. Yan, M. Xu, Y. Shen, H. Zhu, D. Niyato, Z. Y. Dong & L. C. Kwek, "Towards Quantum Federated Learning," arXiv preprint arXiv:2306.09912, 2023.
Z. Chen, J. Chen, Y. Chen, H. Yu, A. Singh & M. Sra, "LMExplainer: A Knowledge-Enhanced Explainer for Language Models," arXiv preprint arXiv:2303.16537, 2023.
L. Yi, G. Wang, X. Liu, Z. Shi & H. Yu, "FedGH: Heterogeneous Federated Learning with Generalized Global Header," arXiv preprint arXiv:2303.13137, 2023.
A. Li, R. Liu, M. Hu, L. A. Tuan & H. Yu, "Towards Interpretable Federated Learning," arXiv preprint arXiv:2302.13473, 2023.
- 2022 -
W. Lu, J. Wang, H. Yu, L. Huang, X. Zhang, Y. Chen & X. Xie, "FIXED: Frustratingly Easy Domain Generalization with Mixup," arXiv preprint arXiv:2211.05228, 2022.
X. Guo & H. Yu, "On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey," arXiv preprint arXiv:2211.03154, 2022.
X. Tang & H. Yu, "Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning," arXiv preprint arXiv:2210.07770, 2022.
Y. Zhang & H. Yu, "Towards Verifiable Federated Learning," arXiv preprint arXiv:2202.08310, 2022.
R. Liu, P. Xing, Z. Deng, A. Li, C. Guan & H. Yu, "Federated Graph Neural Networks: Overview, Techniques and Challenges," arXiv preprint arXiv:2202.07256, 2022.
- 2021 -
C. Liu & H. Yu, "AI-Empowered Persuasive Video Generation: A Survey," arXiv preprint arXiv:2112.09401, 2021.
Y. Shi, H. Yu & C. Leung, "Towards Fairness-Aware Federated Learning," arXiv preprint arXiv:2111.01872, 2021.
X. Wu & H. Yu, "MarS-FL: Enabling Competitors to Collaborate in Federated Learning," arXiv preprint arXiv:2110.13464, 2021.
Y.-A. Xie, J. Kang, D. Niyato, N. T. T. Van, N. C. Luong, Z. Liu & H. Yu, "Securing Federated Learning: A Covert Communication-based Approach," arXiv preprint arXiv:2110.02221, 2021.
Z. Liu, Y. Chen, H. Yu, Y. Liu & L. Cui, "GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning," arXiv preprint arXiv:2109.02053, 2021.
S. K. Pye & H. Yu, "Personalised Federated Learning: A Combinational Approach," arXiv preprint arXiv:2108.09618, 2021.
A. Z. Tan, H. Yu, L. Cui & Q. Yang, "Towards Personalized Federated Learning," arXiv preprint arXiv:2103.00710, 2021.
- 2020 -
L. Lyu, H. Yu, X. Ma, L. Sun, J. Zhao, Q. Yang & P. S. Yu, "Privacy and Robustness in Federated Learning: Attacks and Defenses," arXiv preprint arXiv:2012.06337, 2020.
L. Wang, H. Yu & X. Han, "Federated Crowdsourcing: Framework and Challenges," arXiv preprint arXiv:2011.03208, 2020.
G. Li, C. Liu, H. Yu, Y. Fan, L. Zhang, Z. Wang & M. Wang, "SCNet: A Neural Network for Automated Side-Channel Attack," arXiv preprint arXiv:2008.00476, 2020.
M. Cong, X. Weng, H. Yu, J. Qu & S. M. Yiu, "Optimal Procurement Auction for Cooperative Production of Virtual Products: Vickrey-Clarke-Groves Meet Cremer-McLean," arXiv preprint arXiv:2007.14780, 2020.
C. Ju, R. Zhao, J. Sun, X. Wei, B. Zhao, Y. Liu, H. Li, T. Chen, X. Zhang, D. Gao, B. Tan, H. Yu & Y. Jin, "Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention," arXiv preprint arXiv:2006.10517, 2020.
L. Lyu, H. Yu & Q. Yang, "Threats to Federated Learning: A Survey," CoRR, arXiv:2003.02133, 2020.
Y. Liu, S. Sun, Z. Ai, S. Zhang, Z. Liu & H. Yu, "FedCoin: A Peer-to-Peer Payment System for Federated Learning," arXiv preprint arXiv:2002.11711, 2020.
S. Feng & H. Yu, "Multi-Participant Multi-Class Vertical Federated Learning," arXiv preprint arXiv:2001.11154, 2020.
Y. Chen, X. Yang, X. Qin, H. Yu, B. Chen & Z. Shen, "FOCUS: Dealing with Label Quality Disparity in Federated Learning," arXiv preprint arXiv:2001.11359, 2020.
- 2019 -
P. Kairouz, H. B. McMahan, B. Avent, A. Bellet, M. Bennis, A. N. Bhagoji, K. Bonawitz, Z. Charles, G. Cormode, R. Cummings, R. G. L. D'Oliveira, S. E. Rouayheb, D. Evans, J. Gardner, Z. Garrett, A. Gascón, B. Ghazi, P. B. Gibbons, M. Gruteser, Z. Harchaoui, C. He, L. He, Z. Huo, B. Hutchinson, J. Hsu, M. Jaggi, T. Javidi, G. Joshi, M. Khodak, J. Konečný, A. Korolova, F. Koushanfar, S. Koyejo, T. Lepoint, Y. Liu, P. Mittal, M. Mohri, R. Nock, A. Özgür, R. Pagh, M. Raykova, H. Qi, D. Ramage, R. Raskar, D. Song, W. Song, S. U. Stich, Z. Sun, A. T. Suresh, F. Tramèr, P. Vepakomma, J. Wang, L. Xiong, Z. Xu, Q. Yang, F. X. Yu, H. Yu & S. Zhao, "Advances and Open Problems in Federated Learning," arXiv preprint arXiv:1912.04977, 2019. (zhuanzhi.ai report)
J. Zhao, T. Wang, T. Bai, K.-Y. Lam, Z. Xu, S. Shi, X. Ren, X. Yang, Y. Liu & H. Yu, "Reviewing and Improving the Gaussian Mechanism for Differential Privacy," arXiv preprint arXiv:1911.12060, 2019.
- 2016 -
S. Fauvel & H. Yu, "A Survey on Artificial Intelligence and Data Mining for MOOCs," arXiv preprint arXiv:1601.06862, 2016.
- 2014 -
H. Yu, Z. Shen, Q. Wu & C. Miao, "Designing Socially Intelligent Virtual Companions," arXiv preprint arXiv:1411.7090, 2014.
J. Lin, H. Yu & Z. Shen, "An Empirical Analysis of Task Allocation in Scrum-based Agile Programming,"arXiv preprint arXiv:1411.6201, 2014.
J. Lin, H. Yu & Z. Shen, "Identifying Talented Software Engineering Students through Data-driven Skill Assessment," arXiv preprint arXiv:1411.6197, 2014.