| Point cloud features-based kernel SVM for human-vehicle classification in millimeter wave radar Z Zhao, Y Song, F Cui, J Zhu, C Song, Z Xu, K Ding IEEE Access 8, 26012-26021, 2020 | 83 | 2020 |
| A unified Bayesian inference framework for generalized linear models X Meng, S Wu, J Zhu IEEE Signal Processing Letters 25 (3), 398-402, 2018 | 73 | 2018 |
| A generalized sparse Bayesian learning algorithm for 1-bit DOA estimation X Meng, J Zhu IEEE Communications Letters 22 (7), 1414-1417, 2018 | 62 | 2018 |
| Parameter estimation from quantized observations in multiplicative noise environments J Zhu, X Lin, RS Blum, Y Gu IEEE Transactions on Signal Processing 63 (15), 4037-4050, 2015 | 50 | 2015 |
| Signal Amplitude Estimation and Detection from Unlabeled Binary Quantized Samples G Wang, J Zhu, RS Blum, P Willett, S Marano, V Matta, P Braca IEEE Transactions on Signal Processing, 2017 | 49* | 2017 |
| One-bit LFMCW radar: Spectrum analysis and target detection B Jin, J Zhu, Q Wu, Y Zhang, Z Xu IEEE Transactions on Aerospace and Electronic Systems 56 (4), 2732-2750, 2020 | 46 | 2020 |
| Multi-snapshot Newtonalized orthogonal matching pursuit for line spectrum estimation with multiple measurement vectors J Zhu, L Han, RS Blum, Z Xu Signal Processing, 175-185, 2018 | 45 | 2018 |
| A target detection scheme with decreased complexity and enhanced performance for range-Doppler FMCW radar Q Zheng, L Yang, Y Xie, J Li, T Hu, J Zhu, C Song, Z Xu IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2020 | 43 | 2020 |
| Bilinear adaptive generalized vector approximate message passing X Meng, J Zhu IEEE Access 7, 4807-4815, 2018 | 37 | 2018 |
| Grid-less variational Bayesian line spectral estimation with multiple measurement vectors J Zhu, Q Zhang, P Gerstoft, MA Badiu, Z Xu Signal Processing 161, 155-164, 2019 | 36 | 2019 |
| Maximum likelihood estimation from sign measurements with sensing matrix perturbation J Zhu, X Wang, X Lin, Y Gu IEEE transactions on signal processing 62 (15), 3741-3753, 2014 | 33 | 2014 |
| An AMP-based low complexity generalized sparse Bayesian learning algorithm J Zhu, L Han, X Meng IEEE Access 7, 7965-7976, 2018 | 26 | 2018 |
| Parameter estimation via unlabeled sensing using distributed sensors J Zhu, H Cao, C Song, Z Xu IEEE Communications Letters 21 (10), 2130-2133, 2017 | 26 | 2017 |
| Grid-less variational Bayesian channel estimation for antenna array systems with low resolution ADCs J Zhu, C Wen, J Tong, C Xu, S Jin IEEE Transactions on Wireless Communications 19 (3), 1549-1562, 2019 | 25 | 2019 |
| Asymptotically optimal one-bit quantizer design for weak-signal detection in generalized Gaussian noise and lossy binary communication channel G Wang, J Zhu, Z Xu Signal Processing 154, 207-216, 2019 | 21 | 2019 |
| Majorization–minimization-based target localization problem from range measurements K Gao, J Zhu, Z Xu IEEE Communications Letters 24 (3), 558-562, 2020 | 18 | 2020 |
| Signal detection from unlabeled ordered samples Z Liu, J Zhu IEEE Communications Letters 22 (12), 2431-2434, 2018 | 17 | 2018 |
| Two-dimensional multi-snapshot Newtonized orthogonal matching pursuit for DOA estimation L Han, X Liu, N Zhang, S Wu, J Zhu, Z Xu Digital Signal Processing 121, 103313, 2022 | 16 | 2022 |
| Target localization by unlabeled range measurements G Wang, S Marano, J Zhu, Z Xu IEEE Transactions on Signal Processing 68, 6607-6620, 2020 | 15 | 2020 |
| Adaptive onebit quantisation via approximate message passing with nearest neighbour sparsity pattern learning H Cao, J Zhu, Z Xu IET Signal Processing 12 (5), 629-635, 2018 | 14 | 2018 |
Xiangming MengThe Zhejiang University-University of Illinois Urbana-Champaign Institute, Zhejiang University在 intl.zju.edu.cn 的电子邮件经过验证
