Author

Wen-Jing Li

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2026

Federated Generalized Category Discovery via Personalized Contrastive Graph Learning

In this work, we investigate the task of Federated Generalized Category Discovery (Fed-GCD), which aims to leverage labeled data from known classes to cluster unlabeled samples from both known and unknown classes through privacy-preserving collaboration among clients. Existing Fed-GCD methods predominantly emphasize im...

Wen-Jing Li, Nan Pu, Jessica Fan et al. · IEEE Transactions on Informa... · 0 citations

Jul 2026

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation

Test-time adaptation (TTA) aims to mitigate distribution shifts by adapting models with unlabeled target data at inference time. While TTA with vision-language models (VLMs) has shown promising results in classification, extending it to medical image segmentation remains challenging. In this setting, the adaptation gai...

Ling-Rui Li, Nan Pu, Dong Zhao et al. · arXiv.org · 0 citations