Ji-Ren Zhou

TridentTCR predicts TCR specificity for antigens and autoimmune targets using a graph neural network and large language model, achieving better classification and identifying cross-reactivity in type 1 diabetes.

CS-Fold improves RNA secondary structure prediction by integrating compensatory mutations from phylogenetic trees into a deep learning framework, achieving a 5% higher F1 score on cross-family datasets.