Hao Yu

According to our database, Hao Yu authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Large-Small Model Collaborative Framework for Federated Continual Learning.

Hao Yu, Xin Yang, Boyang Fan, Xuemei Cao, Hanlin Gu, Lixin Fan, Qiang Yang

CoRR, August, 2025

Ten Challenging Problems in Federated Foundation Models.

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

IEEE Trans. Knowl. Data Eng., July, 2025

A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing.

Guannan Lai, Yihui Feng, Xin Yang, Xiaoyu Deng, Hao Yu, Shuyin Xia, Guoyin Wang, Tianrui Li

CoRR, January, 2025

Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor.

Hao Yu, Xin Yang, Le Zhang, Hanlin Gu, Tianrui Li, Lixin Fan, Qiang Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Federated Continual Learning via Knowledge Fusion: A Survey.

Xin Yang, Hao Yu, Xin Gao, Hao Wang, Junbo Zhang, Tianrui Li

IEEE Trans. Knowl. Data Eng., 2024

Addressing Spatial-Temporal Data Heterogeneity in Federated Continual Learning via Tail Anchor.

Hao Yu, Xin Yang, Le Zhang, Hanlin Gu, Tianrui Li, Lixin Fan, Qiang Yang

CoRR, 2024

Overcoming Spatial-Temporal Catastrophic Forgetting for Federated Class-Incremental Learning.

Hao Yu, Xin Yang, Xin Gao, Yihui Feng, Hao Wang, Yan Kang, Tianrui Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Personalized Federated Continual Learning via Multi-Granularity Prompt.

Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer.

Xin Gao, Xin Yang, Hao Yu, Yan Kang, Tianrui Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning.

Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji

CoRR, 2023