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Mianzhi Wang
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2020 – today
- 2020
- [j6]Zhen Zhang
, Mianzhi Wang
, Arye Nehorai
:
Optimal Transport in Reproducing Kernel Hilbert Spaces: Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1741-1754 (2020)
2010 – 2019
- 2019
- [j5]Guojun Jiang
, Mianzhi Wang, Xingpeng Mao, Cheng Qian, Yongtan Liu, Arye Nehorai:
Underdetermined Direction-of-Arrival Estimation Using Difference Coarray in the Presence of Unknown Nonuniform Noise. IEEE Access 7: 157643-157654 (2019) - [j4]Mianzhi Wang
, Zhen Zhang
, Arye Nehorai
:
Grid-Less DOA Estimation Using Sparse Linear Arrays Based on Wasserstein Distance. IEEE Signal Process. Lett. 26(6): 838-842 (2019) - [j3]Mianzhi Wang
, Zhen Zhang, Arye Nehorai
:
Further Results on the Cramér-Rao Bound for Sparse Linear Arrays. IEEE Trans. Signal Process. 67(6): 1493-1507 (2019) - 2018
- [j2]Mianzhi Wang
, Zhen Zhang, Arye Nehorai:
Performance Analysis of Coarray-Based MUSIC in the Presence of Sensor Location Errors. IEEE Trans. Signal Process. 66(12): 3074-3085 (2018) - [c5]Zhen Zhang, Mianzhi Wang, Yan Huang, Arye Nehorai:
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation. CVPR 2018: 3437-3445 - [c4]Zhen Zhang, Mianzhi Wang, Yijian Xiang, Yan Huang, Arye Nehorai:
RetGK: Graph Kernels based on Return Probabilities of Random Walks. NeurIPS 2018: 3968-3978 - [i1]Zhen Zhang, Mianzhi Wang, Yijian Xiang, Yan Huang, Arye Nehorai:
RetGK: Graph Kernels based on Return Probabilities of Random Walks. CoRR abs/1809.02670 (2018) - 2017
- [j1]Mianzhi Wang
, Arye Nehorai:
Coarrays, MUSIC, and the Cramér-Rao Bound. IEEE Trans. Signal Process. 65(4): 933-946 (2017) - [c3]Mianzhi Wang
, Zhen Zhang, Arye Nehorai:
Performance analysis of coarray-based MUSIC and the Cramér-Rao bound. ICASSP 2017: 3061-3065 - [c2]Mianzhi Wang
, Zhen Zhang, Arye Nehorai:
Direction finding using sparse linear arrays with missing data. ICASSP 2017: 3066-3070 - [c1]Zhen Zhang, Mianzhi Wang
, Yijian Xiang
, Arye Nehorai:
Geometry-adapted Gaussian random field regression. ICASSP 2017: 6528-6532
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