| 2025 | SIGIR | Ontology-Guided Knowledge Graph Retrieval for Multi-Hop and Cross-Granularity Store Fulfillment Queries. | Mengyue Zhao, Matthew S. Nokleby, Bo Shen, Wenbo Dong, Deepti Pachauri, Andrew Yang |
| 2020 | CVPR | Learning Furniture Compatibility with Graph Neural Networks. | Luisa F. Polana, Mauricio Flores, Matthew S. Nokleby, Yiran Li |
| 2019 | CVPR | A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels. | Ishan Jindal, Matthew S. Nokleby, Daniel Pressel |
| 2019 | ICASSP | Tensor Matched Kronecker-structured Subspace Detection for Missing Information. | Ishan Jindal, Matthew S. Nokleby |
| 2019 | ICLR | Anytime Minibatch: Exploiting Stragglers in Online Distributed Optimization. | Nuwan S. Ferdinand, Haider Al-Lawati, Stark C. Draper, Matthew S. Nokleby |
| 2019 | NAACL | An Effective Label Noise Model for DNN Text Classification. | Ishan Jindal, Daniel Pressel, Brian Lester, Matthew S. Nokleby |
| 2017 | ACSSC | Fast and compact Kronecker-structured dictionary learning for classification and representation. | Ishan Jindal, Matthew S. Nokleby |
| 2017 | ACSSC | Multi-scale spectrum sensing in millimeter wave cognitive networks. | Nicol Michelusi, Matthew S. Nokleby, Urbashi Mitra, A. Robert Calderbank |
| 2017 | ISIT | Performance limits on the classification of Kronecker-structured models. | Ishan Jindal, Matthew S. Nokleby |
| 2016 | ICDM | Learning Deep Networks from Noisy Labels with Dropout Regularization. | Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen |
| 2016 | ISIT | Voronoi constellations for high-dimensional lattice codes. | Nuwan S. Ferdinand, Matthew S. Nokleby, Behnaam Aazhang |
| 2016 | ISIT | Rate-distortion bounds on Bayes risk in supervised learning. | Matthew S. Nokleby, Ahmad Beirami, A. Robert Calderbank |
| 2015 | GLOBECOM | Dynamic Spectrum Estimation with Minimal Overhead via Multiscale Information Exchange. | Nicol Michelusi, Matthew S. Nokleby, Urbashi Mitra, A. Robert Calderbank |
| 2014 | ACSSC | MMSE scaling enhances performance in practical lattice codes. | Nuwan S. Ferdinand, Matthew S. Nokleby, Brian M. Kurkoski, Behnaam Aazhang |
| 2014 | ICASSP | Information-theoretic criteria for the design of compressive subspace classifiers. | Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank |
| 2014 | ISIT | Discrimination on the grassmann manifold: Fundamental limits of subspace classifiers. | Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank |
| 2013 | ISIT | Amplify-and-compute: Function computation over layered networks. | Matthew S. Nokleby, Bobak Nazer |
| 2013 | ITW | Information-theoretic limits on the classification of Gaussian mixtures: Classification on the Grassmann manifold. | Matthew S. Nokleby, A. Robert Calderbank, Miguel R. D. Rodrigues |
| 2012 | ACSSC | Toward resource-optimal averaging consensus over the wireless medium. | Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang |
| 2012 | ICASSP | Hierarchical averaging over wireless sensor networks. | Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang |
| 2011 | ISIT | Cooperative computation in wireless networks. | Matthew S. Nokleby, Behnaam Aazhang |
| 2011 | ITW | Unchaining from the channel: Cooperative computation over multiple-access channels. | Matthew S. Nokleby, Behnaam Aazhang |
| 2008 | ICCCN | Bargaining and Multi-User Detection in MIMO Interference Networks. | Matthew S. Nokleby, A. Lee Swindlehurst |
| 2007 | GLOBECOM | Cooperative Power Scheduling for Wireless MIMO Networks. | Matthew S. Nokleby, A. Lee Swindlehurst, Yue Rong, Yingbo Hua |
| 2006 | CEC | The Stag Hunt: A Vehicle for Evolutionary Cooperation. | Matthew S. Nokleby, Wynn C. Stirling |
| 2005 | SMC | Cooperative graph search by a system of autonomous agents. | Jared C. Hill, Matthew S. Nokleby, James K. Archibald, Richard L. Frost, Wynn C. Stirling |