- 2025 -
Weixin An, Yuanyuan Liu, Fanhua Shang, Han Yu, Junkang Liu & Hongying Liu, "Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions," in Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS'25), 2025.
Wei Zhuo, Zhaohuan Zhan & Han Yu, "Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections," in Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS'25), 2025.
Xiaoli Tang, Han Yu & Xiaoxiao Li, "A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning," in Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS'25), 2025.
Yifei Zhang, Hao Zhu, Junhao Dong, Haoran Shi, Ziqiao Meng, Piotr Koniusz & Han Yu, "CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning," in Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS'25), 2025.
Zhuang Qi, Yu Pan, Lei Meng, Sijin Zhou, Han Yu, Xiaoxiao Li & Xiangxu Meng, "Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning," in Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS'25), 2025.
Zhuang Qi, Yingpeng Tang, Lei Meng, Han Yu, Xiaoxiao Li & Xiangxu Meng, "Class-wise Balancing Data Replay for Federated Class-Incremental Learning," in Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS'25), 2025. (Oral Paper, top 1.5% of NeurIPS'25 papers)
Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu & Xiaoxiao Li, "Federated Representation Angle Learning," in Proceedings of the 2025 International Conference on Computer Vision (ICCV'25), 2025.
Qiqi Liu, Jiaqiang Li, Yuchen Liu, Yaochu Jin, Lingjuan Lyu, Xiaohu Wu & Han Yu, "Personalized Federated Learning under Local Supervision," in Proceedings of the 2025 International Conference on Computer Vision (ICCV'25), 2025.
Zhuang Qi, Sijin Zhou, Lei Meng, Han Hu, Han Yu & Xiangxu Meng, "Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization," in Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI'25), 2025.
Wu Lee, Yuliang Shi, Han Yu, Lin Cheng, Xinjun Wang, Zhongmin Yan & Fanyu Kong. HPformer: Low-parameter transformer with temporal dependency hierarchical propagation for health informatics. IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE (2025). (IF: 18.6)
Xiaoli Tang, Han Yu, Zengxiang Li & Xiaoxiao Li, "Multi-Session Budget Optimization for Forward Auction-based Federated Learning," in Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.
Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao & Han Yu, "Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning," in Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.
Wei Zhuo, Han Yu, Guang Tan & Xiaoxiao Li, "Commute Graph Neural Networks," in Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.
Ying-Peng Tang, Chao Ren, Xiaoli Tang, Sheng-Jun Huang, Lizhen Cui & Han Yu, "Efficient Heterogeneity-Aware Federated Active Data Selection," in Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.
Libang Zhao, Alysa Ziying Tan, Siwei Feng, Han Yu, Tao Deng, Yuanlu Chen, Feng Wu & Mengyuan Song, "Representative-exploring Replay for Online Class-Incremental Continual Learning," in Proceedings of the 2025 International Joint Conference on Neural Networks (IJCNN'25), 2025.
Leming Wu, Yaochu Jin, Kuangrong Hao & Han Yu, "Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients," in Proceedings of the 2025 IEEE International Conference on Multimedia and Expo (ICME'25), 2025.
Shuaipeng Zhang, Lanju Kong, Yixin Zhang, Wei He, Yongqing Zheng, Han Yu & Lizhen Cui, "DAG-AFL: Directed Acyclic Graph-based Asynchronous Federated Learning," in Proceedings of the 2025 IEEE International Conference on Multimedia and Expo (ICME'25), 2025.
Yifei Zhang, Hao Zhu, Alysa Ziying Tan, Dianzhi Yu, Longtao Huang & Han Yu, "pFedMixF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation," in Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'25), 2025.
Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu & Xiaoxiao Li, "pFedAFM: Adaptive Feature Mixture for Data-Level Personalization in Heterogeneous Federated Learning on Mobile Edge Devices," in Proceedings of the 41st IEEE International Conference on Data Engineering (ICDE'25), 2025.
Minghui Chen, Ruinan Jin, Wenlong Deng, Yuanyuan Chen, Zhi Huang, Han Yu & Xiaoxiao Li, "Can Textual Gradient Work in Federated Learning?," in Proceedings of the 13th International Conference on Learning Representations (ICLR'25), 2025.
Chao Ren, Rudai Yan, Huihui Zhu, Han Yu, Minrui Xu, Yuan Shen, Yan Xu, Ming Xiao, Zhao Yang Dong, Mikael Skoglund, Dusit Niyato & Leong Chuan Kwek. Towards quantum federated learning. IEEE Transactions on Neural Networks and Learning Systems, IEEE (2025). (IF: 8.9)
Feng Wu, Alysa Tan, Siwei Feng, Han Yu, Tao Deng, Libang Zhao & Yuanlu Chen. Federated class-incremental learning via weighted aggregation and distillation. IEEE Internet of Things Journal, IEEE (2025). (IF: 89)
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 Communications Surveys and Tutorials, IEEE (2025). (IF: 46.7)