3 accepted papers
Spatial multi-modal omics technologies have transformed biological research by enabling the simultaneous profiling of gene expression, protein abundance, and chromatin accessibility within their native spatial contexts. Despite these advances, accurately clustering rare cell types remains a major ch
Fully test-time adaptation (FTTA) is to adapt a model trained on a source domain to a target domain during the testing phase. Traditional methods like entropy minimization primarily focus on reducing uncertainty in output predictions, yet often overlook the diversity in target prediction results, wh…
Domain Generalization (DG) aims to improve the generalization ability of models trained on a specific group of source domains, enabling them to perform well on new, unseen target domains. Recent studies have shown that methods that converge to smooth optima can enhance the generalization performance…