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Jia-Hui Zhong

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#machine learning Preprint Sep 2026

Rethinking Class Imbalance for Single-Cell Foundation Models: A Systematic Benchmark Across Architectures and Long-Tail Loss Functions

This work presents a systematic benchmark of six long-tail loss functions (cross-entropy, weighted CE, class-balanced loss, focal loss, LDAM, logit-adjusted softmax), giving both a reusable benchmark and mechanism-grounded practical guidelines for combining foundation models with imbalanced biological data.

Ze-Yu Dong, Jia-Hui Zhong · 0 citations