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03
2024-07
【ACM MM2024】 Overcoming Spatial-Temporal Catastrophic Forgetting for Federated Class-Incremental Learning.
Hao Yu,Xin Yang,Xin Gao,Yihui Feng,Hao Wang,Yan Kang,Tianrui Li. Overcoming Spatial-Temporal Catastrophic Forgetting for Federated Class-Incremental Learning.
03
2024-07
【KDD2024】Personalized Federated Continual Learning via Multi-Granularity Prompt
Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li. Personalized Federated Continual Learning via Multi-Granularity Prompt
03
2024-07
【TKDE2024】Open Continual Feature Selection via Granular-Ball Knowledge Transfer.
Xuemei Cao, Xin Yang, Shuyin Xia, Guoyin Wang, Tianrui Li. Open Continual Feature Selection via Granular-Ball Knowledge Transfer.
03
2024-07
【TKDE2024】Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang; Hao Yu; Xin Gao; Hao Wang; Junbo Zhang; Tianrui Li. Federated Continual Learning via Knowledge Fusion: A Survey
03
2024-07
【CVPR2024】FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer
Xin Gao, Xin Yang, Hao Yu, Yan Kang, Tianrui Li FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer
03
2024-07
【AAAI2024】Learning to Prompt Knowledge Transfer for Open-World Continual Learning
Yujie Li, Xin Yang, Hao Wang, Xiangkun Wang, Tianrui Li. Learning to Prompt Knowledge Transfer for Open-World Continual Learning
03
2024-07
【WWW2023】CL-WSTC: Continual Learning for Weakly Supervised Text Classification on the Internet
Miaomiao Li, Jiaqi Zhu, Xin Yang, Yi Yang, Qiang Gao and Hongan Wang. CL-WSTC: Continual Learning for Weakly Supervised Text Classificati
03
2024-07
【ACM MM2023】Debunking free fusion myth: Online multi-view anomaly detection with disentangled product-of-experts modeling
Hao Wang, Zhi-Qi Cheng, Jingdong Sun, Xin Yang, Xiao Wu, Hongyang Chen, Yan Yang. Debunking free fusion myth: Online multi-view anomaly
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