activity
20162025
most citedFederated Continual Learning via Knowledge Fusion: A Survey

116 citations · 238 across the 19 of their papers we have counts for

collaborators

19 papers

cs.LG2025

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

Guannan Lai, Yihui Feng, Xin Yang +5

Federated Learning (FL) facilitates collaborative model training while prioritizing privacy by avoiding direct data sharing. However, most existing articles attempt to address chal…

cs.LG2024

CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection

Yanyong Huang, Yuxin Cai, Dongjie Wang +2

The objective of multi-view unsupervised feature and instance co-selection is to simultaneously iden-tify the most representative features and samples from multi-view unlabeled dat…

cs.CV2024

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding

Junde Liu, Danpei Zhao, Bo Yuan +2

Significant advancements have been made in semantic image synthesis in remote sensing. However, existing methods still face formidable challenges in balancing semantic controllabil…

eess.IV2024

Efficient Single Image Super-Resolution with Entropy Attention and Receptive Field Augmentation

Xiaole Zhao, Linze Li, Chengxing Xie +5

Transformer-based deep models for single image super-resolution (SISR) have greatly improved the performance of lightweight SISR tasks in recent years. However, they often suffer f…

eess.IV202465 cited

Large Kernel Distillation Network for Efficient Single Image Super-Resolution

Chengxing Xie, Xiaoming Zhang, Linze Li +4

Efficient and lightweight single-image super-resolution (SISR) has achieved remarkable performance in recent years. One effective approach is the use of large kernel designs, which…

cs.AI2024

A Survey of Route Recommendations: Methods, Applications, and Opportunities

Shiming Zhang, Zhipeng Luo, Li Yang +2

Nowadays, with advanced information technologies deployed citywide, large data volumes and powerful computational resources are intelligentizing modern city development. As an impo…