Transfer learning across ontologies for phenome-genome association prediction. - Raphael Petegrosso; Sunho Park; TaeHyun Hwang; Rui Kuang (Bioinform., 2017)

Low-rank Label Propagation for Semi-supervised Learning with 100 Millions Samples. - Raphael Petegrosso; Wei Zhang 076; Zhuliu Li; Yousef Saad; Rui Kuang (CoRR, 2017)

Scalable Label Propagation for Multi-relational Learning on Tensor Product Graph. - Zhuliu Li; Raphael Petegrosso; Shaden Smith; David Sterling; George Karypis; Rui Kuang (CoRR, 2018)

A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa. - Huanan Zhang; Catherine A. A. Lee; Zhuliu Li; John R. Garbe; Cindy R. Eide; Raphael Petegrosso; Rui Kuang; Jakub Tolar (PLoS Comput. Biol., 2018)

Machine learning and statistical methods for clustering single-cell RNA-sequencing data. - Raphael Petegrosso; Zhuliu Li; Rui Kuang (Briefings Bioinform., 2020)

AB/BA analysis: A framework for estimating keyword spotting recall improvement while maintaining audio privacy. - Raphael Petegrosso; Vasistakrishna Baderdinni; Thibaud Senechal; Benjamin L. Bullough (NAACL-HLT (Industry Papers), 2022)

Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs. - Zhuliu Li; Raphael Petegrosso; Shaden Smith; David Sterling; George Karypis; Rui Kuang (IEEE Trans. Knowl. Data Eng., 2022)