Zedong Bi

DeSide: A unified deep learning approach for cellular decomposition of bulk tumors based on limited scRNA-seq data

DeSide uses limited scRNA-seq data to estimate cell type proportions in bulk tumor samples, outperforming existing methods and enabling patient stratification based on survival rates.

Top-down generation of low-resolution representations improves visual perception and imagination

The paper shows that using low-resolution top-down signals improves visual perception and imagination, and enhances sketch generation in AI by training models on blurred images.

Evolutionary learning in the brain by heterosynaptic plasticity

This paper proposes an evolutionary algorithm model of brain learning using non-local rules and demonstrates its effectiveness in training neural networks with biologically plausible weights.