Mianzhi Wang

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 12

Top Topics

Reproducing Kernel

Top Venues

IEEE Trans. Signal Process.

IEEE Signal Process. Lett.

Publications

Zhen Zhang, Mianzhi Wang, Arye Nehorai
Optimal Transport in Reproducing Kernel Hilbert Spaces: Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 42 (7) (2020)
Mianzhi Wang, Zhen Zhang, Arye Nehorai
Further Results on the Cramér-Rao Bound for Sparse Linear Arrays. IEEE Trans. Signal Process. 67 (6) (2019)
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 (2019)
Mianzhi Wang, Zhen Zhang, Arye Nehorai
Grid-Less DOA Estimation Using Sparse Linear Arrays Based on Wasserstein Distance. IEEE Signal Process. Lett. 26 (6) (2019)
Zhen Zhang, Mianzhi Wang, Yijian Xiang, Yan Huang, Arye Nehorai
RetGK: Graph Kernels based on Return Probabilities of Random Walks. NeurIPS (2018)
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) (2018)
Zhen Zhang, Mianzhi Wang, Yijian Xiang, Yan Huang, Arye Nehorai
RetGK: Graph Kernels based on Return Probabilities of Random Walks. CoRR (2018)
Zhen Zhang, Mianzhi Wang, Yan Huang, Arye Nehorai
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation. CVPR (2018)
Mianzhi Wang, Zhen Zhang, Arye Nehorai
Direction finding using sparse linear arrays with missing data. ICASSP (2017)
Mianzhi Wang, Zhen Zhang, Arye Nehorai
Performance analysis of coarray-based MUSIC and the Cramér-Rao bound. ICASSP (2017)
Zhen Zhang, Mianzhi Wang, Yijian Xiang, Arye Nehorai
Geometry-adapted Gaussian random field regression. ICASSP (2017)
Mianzhi Wang, Arye Nehorai
Coarrays, MUSIC, and the Cramér-Rao Bound. IEEE Trans. Signal Process. 65 (4) (2017)