| Noisy pooled PCR for virus testing J Zhu, K Rivera, D Baron arXiv preprint arXiv:2004.02689, 2020 | 47 | 2020 |
| Approximate message passing algorithm with universal denoising and Gaussian mixture learning Y Ma, J Zhu, D Baron IEEE Transactions on Signal Processing 64 (21), 5611-5622, 2016 | 30 | 2016 |
| Performance regions in compressed sensing from noisy measurements J Zhu, D Baron 2013 47th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2013 | 25 | 2013 |
| Performance limits for noisy multimeasurement vector problems J Zhu, D Baron, F Krzakala IEEE Transactions on Signal Processing 65 (9), 2444-2454, 2016 | 22 | 2016 |
| Recovery from linear measurements with complexity-matching universal signal estimation J Zhu, D Baron, MF Duarte IEEE Transactions on Signal Processing 63 (6), 1512-1527, 2015 | 20* | 2015 |
| Multi-processor approximate message passing using lossy compression P Han, J Zhu, R Niu, D Baron Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International …, 2016 | 13 | 2016 |
| Compressed sensing via universal denoising and approximate message passing Y Ma, J Zhu, D Baron arXiv preprint arXiv:1407.1944, 2014 | 12 | 2014 |
| Performance trade-offs in multi-processor approximate message passing J Zhu, A Beirami, D Baron 2016 IEEE International Symposium on Information Theory (ISIT), 680-684, 2016 | 11 | 2016 |
| Performance limits with additive error metrics in noisy multimeasurement vector problems J Zhu, D Baron IEEE Transactions on Signal Processing 66 (20), 5338-5348, 2018 | 8 | 2018 |
| Theoretical study of W-shaped optical fiber with a depression in core center by applying analytical transfer matrix method JA Zhu, L Chen, JM Xu, SJ Li, YM Zhu Optics Communications 284 (21), 5130-5134, 2011 | 8 | 2011 |
| An overview of multi-processor approximate message passing J Zhu, R Pilgrim, D Baron 2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-6, 2017 | 6 | 2017 |
| Optimal trade-offs in multi-processor approximate message passing J Zhu, D Baron, A Beirami arXiv preprint arXiv:1601.03790, 2016 | 6 | 2016 |
| Complexity-adaptive universal signal estimation for compressed sensing J Zhu, D Baron, MF Duarte 2014 IEEE Workshop on Statistical Signal Processing (SSP), 388-391, 2014 | 5 | 2014 |
| Statistical Physics and Information Theory Perspectives on Linear Inverse Problems J Zhu arXiv:1705.05070v2, 2017 | 3 | 2017 |
| Generalized geometric programming for rate allocation in consensus R Pilgrim, J Zhu, D Baron, WU Bajwa 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017 | 1 | 2017 |
| Approximate message passing with universal denoising D Baron, Y Ma, J Zhu US Patent 10,140,249, 2018 | | 2018 |
| 1. Making Every Test Count: Group Testing K Narayanan, A Heidarzadeh, J Zhu, K Rivera, D Baron, D Kartik, U Mitra | | |
Dror BaronNorth Carolina State UniversityVahvistettu sähköpostiosoite verkkotunnuksessa ncsu.edu
