Jun S. Liu

Research areas

Research interests

Statistical Methods and Inference, Gene expression and cancer classification, Bayesian Methods and Mixture Models, Genomics and Chromatin Dynamics, Bioinformatics and Genomic Networks

Publications

2026 Towards a statistical understanding of neural networks: Beyond the neural tangent kernel theories 2026 A semiparametric Bayesian method for sufficient dimension reduction 2026 Network perturbation aggregation for graphon estimation 2026 Phenotypic prediction of missense variants via deep contrastive learning 2026 Feasibility of cystatin C as a biomarker for AECOPD severity: a cross-sectional study integrating CAT score, mMRC grade, and GOLD stage