| Radio resource allocation for physical-layer security in D2D underlay communications H Zhang, T Wang, L Song, Z Han 2014 IEEE International Conference on Communications (ICC), 2319-2324, 2014 | 90 | 2014 |
| Interference improves PHY security for cognitive radio networks H Zhang, T Wang, L Song, Z Han IEEE Transactions on Information Forensics and Security 11 (3), 609-620, 2015 | 35 | 2015 |
| Optimal estimator for unlabeled linear regression H Zhang, P Li International Conference on Machine Learning, 11153-11162, 2020 | 28 | 2020 |
| Permutation recovery from multiple measurement vectors in unlabeled sensing H Zhang, M Slawski, P Li 2019 IEEE International Symposium on Information Theory (ISIT), 1857-1861, 2019 | 27 | 2019 |
| The benefits of diversity: Permutation recovery in unlabeled sensing from multiple measurement vectors H Zhang, M Slawski, P Li IEEE Transactions on Information Theory 68 (4), 2509-2529, 2021 | 18 | 2021 |
| Compressive sensing with energy constraint H Zhang, A Abdi, F Fekri 2017 IEEE Information Theory Workshop (ITW), 389-393, 2017 | 6 | 2017 |
| Sparse recovery with shuffled labels: Statistical limits and practical estimators H Zhang, P Li 2021 IEEE International Symposium on Information Theory (ISIT), 1760-1765, 2021 | 5 | 2021 |
| One-step estimator for permuted sparse recovery H Zhang, P Li International Conference on Machine Learning, 41244-41267, 2023 | 4 | 2023 |
| Recovery of sign vectors in quadratic compressed sensing H Zhang, A Abdi, F Fekri 2017 IEEE Information Theory Workshop (ITW), 379-383, 2017 | 4 | 2017 |
| Greed is good: correspondence recovery for unlabeled linear regression H Zhang, P Li Uncertainty in Artificial Intelligence, 2509-2518, 2023 | 3 | 2023 |
| Sparse recovery of sign vectors under uncertain sensing matrices H Zhang, A Abdi, F Fekri 2018 IEEE Information Theory Workshop (ITW), 1-5, 2018 | 3 | 2018 |
| Analysis of sparse-integer measurement matrices in compressive sensing H Zhang, A Abdi, F Fekri ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 2 | 2019 |
| A general framework for the design of compressive sensing using density evolution H Zhang, A Abdi, F Fekri 2021 IEEE Information Theory Workshop (ITW), 1-6, 2021 | 1 | 2021 |
| Compressive sensing with a multiple convex sets domain H Zhang, A Abdi, F Fekri 2019 IEEE International Symposium on Information Theory (ISIT), 592-596, 2019 | 1 | 2019 |
| Error correction for approximate computing H Zhang, A Abdi, F Fekri, H Esmaeilzadeh 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016 | 1 | 2016 |
| Turning interference weakness into PHY security enhancement for cognitive radio networks H Zhang, T Wang, L Song, Z Han 2013 International Conference on Wireless Communications and Signal …, 2013 | 1 | 2013 |
| The Phase Transition Phenomenon of Shuffled Regression H Zhang, P Li arXiv preprint arXiv:2310.20438, 2023 | | 2023 |
| A Density Evolution Framework for Recovery of Covariance and Causal Graphs from Compressed Measurements MG Sethuraman, H Zhang, F Fekri 2023 59th Annual Allerton Conference on Communication, Control, and …, 2023 | | 2023 |
| Improved Bound on Generalization Error of Compressed KNN Estimator H Zhang, P Li International Conference on Artificial Intelligence and Statistics, 7578-7593, 2023 | | 2023 |
| A General Compressive Sensing Construct Using Density Evolution H Zhang, A Abdi, F Fekri IEEE Transactions on Signal Processing 72, 203-218, 2022 | | 2022 |
Faramarz FekriGeorgia TechVerified email at ece.gatech.edu
