Stochastic Greedy Algorithms For Multiple Measurement Vectors. - Jing Qin 003; Shuang Li 003; Deanna Needell; Anna Ma; Rachel Grotheer; Chenxi Huang 006; Natalie Durgin (CoRR, 2017)

Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (CoRR, 2017)

Compressed Anomaly Detection with Multiple Mixed Observations. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (CoRR, 2018)

Jointly Sparse Signal Recovery with Prior Info. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (ACSSC, 2019)

Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (EMBC, 2019)

Iterative Hard Thresholding for Low CP-rank Tensor Models. - Rachel Grotheer; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (CoRR, 2019)

COVID-19 Literature Topic-Based Search via Hierarchical NMF. - Rachel Grotheer; Longxiu Huang; Yihuan Huang; Alona Kryshchenko; Oleksandr Kryshchenko; Pengyu Li; Xia Li; Elizaveta Rebrova; Kyung Ha; Deanna Needell (NLP4COVID@EMNLP, 2020)

Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. - Rachel Grotheer; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (ITA, 2020)

Semi-supervised NMF Models for Topic Modeling in Learning Tasks. - Jamie Haddock; Lara Kassab; Sixian Li; Alona Kryshchenko; Rachel Grotheer; Elena Sizikova; Chuntian Wang; Thomas Merkh; R. W. M. A. Madushani; Miju Ahn; Deanna Needell; Kathryn Leonard (CoRR, 2020)

Semi-supervised Nonnegative Matrix Factorization for Document Classification. - Jamie Haddock; Lara Kassab; Sixian Li; Alona Kryshchenko; Rachel Grotheer; Elena Sizikova; Chuntian Wang; Thomas Merkh; R. W. M. A. Madushani; Miju Ahn; Deanna Needell; Kathryn Leonard (ACSCC, 2021)

Automatic Infectious Disease Classification Analysis with Concept Discovery. - Elena Sizikova; Joshua Vendrow; Xu Cao; Rachel Grotheer; Jamie Haddock; Lara Kassab; Alona Kryshchenko; Thomas Merkh; R. W. M. A. Madushani; Kenny Moise; Annie Ulichney; Huy V. Vo; et al. (CoRR, 2022)

Stochastic Natural Thresholding Algorithms. - Rachel Grotheer; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (ACSSC, 2023)