Research

My research interests include:

Statistical signal processing, including statistical modeling of sensor arrays, asymptotic performance analysis of DOA estimators, and the derivation of Cramér-Rao bounds.
Convex optimization, including applications to machine learning and sparse recovery in array signal processing.
Machine learning, including machine learning methods for graph structured data, kernel-based algorithms, and application of optimal transport in domain adaptation.

My Google Scholar can be accessed here. My CV can be accessed here.

Source Code

I made a set of useful MATLAB/Python tools related to my research on array signal processing, which can be found here. The numerical simulations in my papers heavily utilize these tools. I hope you find them useful too.

You can view my open source projects on my Github.

Journal Publications

M. Wang, Z. Zhang, and A. Nehorai, "Grid-less DOA estimation using sparse linear arrays based on Wasserstein distance," IEEE Signal Process. Lett., vol. 26, pp. 838-842, June 2019. PDF
Z. Zhang, M. Wang, and A. Nehorai, "Optimal transport in reproducing kernel Hilbert spaces: theory and applications," IEEE Trans. Pattern Anal. Mach. Intell, vol. 42, no. 7, pp. 1741-1754, July 2020.
M. Wang, Z. Zhang, and A. Nehorai, "Further results on the Cramér-Rao bound for sparse linear arrays," IEEE Trans. Signal Process., vol. 67, pp. 1493-1507, Mar. 2019. PDF
M. Wang, Z. Zhang, and A. Nehorai, "Performance analysis of coarray-based MUSIC in the presence of sensor location errors," IEEE Trans. Signal Process., vol. 66, pp. 3074-3085, June 2018. PDF Code
M. Wang and A. Nehorai, "Coarrays, MUSIC, and the Cramér Rao bound," IEEE Trans. Signal Process., vol. 65, pp. 933-946, Feb. 2017. (2019 IEEE SPS Young Author Best Paper Award) PDF Code

Conference Publications

Z. Zhang, M. Wang, Y. Xiang, Y. Huang, and A. Nehorai, "RetGK: Graph kernels based on return probabilities of random walks," Advances in Neural Information Processing Systems (NIPS) 31, Montréal, CA, Dec. 3-8, 2018. PrePrint Code Poster
Z. Zhang, M. Wang, Y. Huang, and A. Nehorai, "Aligning infinite-dimensional covariance matrices in reproducing kernel Hilbert spaces for domain adaptation," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, June 22-28, 2018.
G. Jiang, X. Mao, M. Wang, Y. Liu and A. Nehorai, "Underdetermined DOA estimation with unknown source number in nonuniform noise," 2018 IEEE Radar Conference (RadarConf18), Oklahoma City, OK, Apr. 23-27, 2018.
M. Wang, Z. Zhang, and A. Nehorai, "Performance analysis of coarray-based MUSIC and the Cramér-Rao bound," Proc. 42nd IEEE Int. Conf. Acoustics, Speech, Signal Processing (ICASSP), New Orleans, LA, Mar. 5-9, 2017. PDF SLIDES
M. Wang, Z. Zhang, and A. Nehorai, "Direction finding using sparse linear arrays with missing data," Proc. 42nd IEEE Int. Conf. Acoustics, Speech, Signal Processing (ICASSP), New Orleans, LA, Mar. 5-9, 2017. PDF SLIDES
Z. Zhang, M. Wang, Y. Xiang, A. Nehorai, "Geometry-adapted Gaussian random field regression," Proc. 42nd IEEE Int. Conf. Acoustics, Speech, Signal Processing (ICASSP), New Orleans, LA, Mar. 5-9, 2017.