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)

Learning a Low-Rank Tensor of Pharmacogenomic Multi-relations from Biomedical Networks. - Zhuliu Li; Wei Zhang 076; Rong Stephanie Huang; Rui Kuang (ICDM, 2019)

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

Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion. - Zhuliu Li; Tianci Song; Jeongsik Yong; Rui Kuang (PLoS Comput. Biol., 2021)

TaxoTrans: Taxonomy-Guided Entity Translation. - Zhuliu Li; Yiming Wang; Xiao Yan; Weizhi Meng 003; Yanen Li; Jaewon Yang (KDD, 2022)

Detecting spatially co-expressed gene clusters with functional coherence by graph-regularized convolutional neural network. - Tianci Song; Kathleen K. Markham; Zhuliu Li; Kristen E. Muller; Kathleen Greenham; Rui Kuang (Bioinform., 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)