| 2024 | ACSSC | Stratified Non-Negative Tensor Factorization. | Alexander Sietsema, Zerrin Vural, James Chapman, Yotam Yaniv, Deanna Needell |
| 2024 | ICML | Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms. | Yuchen Li, Laura Balzano, Deanna Needell, Hanbaek Lyu |
| 2023 | ACSSC | Stratified-NMF for Heterogeneous Data. | James Chapman, Yotam Yaniv, Deanna Needell |
| 2023 | ACSSC | Stochastic Natural Thresholding Algorithms. | Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin |
| 2023 | ICLR | SP2 : A Second Order Stochastic Polyak Method. | Shuang Li, William J. Swartworth, Martin Takc, Deanna Needell, Robert M. Gower |
| 2023 | ISIT | One-Bit Quadratic Compressed Sensing: From Sample Abundance to Linear Feasibility. | Arian Eamaz, Farhang Yeganegi, Deanna Needell, Mojtaba Soltanalian |
| 2022 | ACSSC | Multi-Randomized Kaczmarz for Latent Class Regression. | Erin George, Yotam Yaniv, Deanna Needell |
| 2022 | ACSSC | Online Signal Recovery via Heavy Ball Kaczmarz. | Benjamin Jarman, Yotam Yaniv, Deanna Needell |
| 2022 | CISS | On Audio Enhancement via Online Non-Negative Matrix Factorization. | Andrew Sack, Wenzhao Jiang, Michael Perlmutter, Palina Salanevich, Deanna Needell |
| 2022 | FOCS | Testing Positive Semidefiniteness Using Linear Measurements. | Deanna Needell, William Swartworth, David P. Woodruff |
| 2022 | ICASSP | A Generalized Hierarchical Nonnegative Tensor Decomposition. | Joshua Vendrow, Jamie Haddock, Deanna Needell |
| 2021 | ACSSC | 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 |
| 2021 | ACSSC | QuantileRK: Solving Large-Scale Linear Systems with Corrupted, Noisy Data. | Benjamin Jarman, Deanna Needell |
| 2021 | ACSSC | An Untrained One-layer Convolutional Network-based Method for Line Spectral Estimation. | Shuang Li, Deanna Needell, William Swartworth |
| 2021 | ACSSC | Neural Nonnegative CP Decomposition for Hierarchical Tensor Analysis. | Joshua Vendrow, Jamie Haddock, Deanna Needell |
| 2021 | ICASSP | On a Guided Nonnegative Matrix Factorization. | Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell |
| 2020 | ACSSC | An Adaptation for Iterative Structured Matrix Completion. | Lara Kassab, Henry Adams, Deanna Needell |
| 2020 | CISS | Stochastic Gradient Descent Variants for Corrupted Systems of Linear Equations. | Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth |
| 2020 | EMNLP | 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 |
| 2020 | ICASSP | Clustering of Nonnegative Data and an Application to Matrix Completion. | Christopher Strohmeier, Deanna Needell |
| 2020 | ITA | Tensor Completion through Total Variation with Initialization from Weighted HOSVD. | Zehan Chao, Longxiu Huang, Deanna Needell |
| 2020 | ITA | Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. | Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin |
| 2020 | ITA | On Nonnegative CP Tensor Decomposition Robustness to Noise. | Jamie Haddock, Lara Kassab, Alona Kryshchenko, Deanna Needell |
| 2020 | ITA | Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data. | Hanbaek Lyu, Georg Menz, Deanna Needell, Christopher Strohmeier |
| 2019 | ACSSC | Jointly Sparse Signal Recovery with Prior Info. | Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin |
| 2019 | ACSSC | Convergence of Iterative Hard Thresholding Variants with Application to Asynchronous Parallel Methods for Sparse Recovery. | Jamie Haddock, Deanna Needell, Alireza Zaeemzadeh, Nazanin Rahnavard |
| 2019 | ACSSC | Sketching for Motzkin's Iterative Method for Linear Systems. | Elizaveta Rebrova, Deanna Needell |
| 2019 | CIKM | Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. | Jyun-Yu Jiang, Zehan Chao, Andrea L. Bertozzi, Wei Wang, Sean D. Young, Deanna Needell |
| 2018 | ACSSC | A Gradient Descent Approach for Incomplete Linear Systems. | Anna Ma, Deanna Needell |
| 2018 | ACSSC | A Bayesian Approach for Asynchronous Parallel Sparse Recovery. | Alireza Zaeemzadeh, Jamie Haddock, Nazanin Rahnavard, Deanna Needell |
| 2018 | ITA | Matrix Completion for Structured Observations. | Denali Molitor, Deanna Needell |
| 2018 | ITA | Analysis of Fast Alternating Minimization for Structured Dictionary Learning. | Saiprasad Ravishankar, Anna Ma, Deanna Needell |
| 2017 | ACSSC | Conditional approximate message passing with side information. | Dror Baron, Anna Ma, Deanna Needell, Cynthia Rush, Tina Woolf |
| 2017 | ITA | An asynchronous parallel approach to sparse recovery. | Deanna Needell, Tina Woolf |
| 2016 | ITA | Methods for quantized compressed sensing. | Hao-Jun Michael Shi, Mindy Case, Xiaoyi Gu, Shenyinying Tu, Deanna Needell |
| 2014 | ACSSC | Improving image clustering using sparse text and the wisdom of the crowds. | Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus |
| 2014 | ACSSC | A comparison of clustering and missing data methods for health sciences. | Ran Zhao, Deanna Needell, Christopher Johansen, Jerry L. Grenard |
| 2013 | ICTAI | Kaczmarz Algorithm with Soft Constraints for User Interface Layout. | Noreen Jamil, Deanna Needell, Johannes Mller, Christof Lutteroth, Gerald Weber |
| 2012 | ACSSC | CoSaMP with redundant dictionaries. | Mark A. Davenport, Deanna Needell, Michael B. Wakin |
| 2010 | CISS | Mixed operators in compressed sensing. | Matthew A. Herman, Deanna Needell |
| 2008 | ACSSC | Greedy signal recovery review. | Deanna Needell, Joel A. Tropp, Roman Vershynin |