Mianzhi Wang

Ph.D. in Electrical Engineering

Research

My research interests include:

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

Source Code

I am currently maintaining a set of useful functions related to my research on array signal processing, which can be found here. The numerical simulations in my papers heavily utilize these functions. I hope you find them useful.

You can view my open source projects on my Github.

Journal Publications

  1. 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
  2. Z. Zhang, M. Wang, and A. Nehorai, "Optimal transport in reproducing kernel Hilbert spaces: theory and applications," to appear in IEEE Trans. Pattern Anal. Mach. Intell.
  3. 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
  4. 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
  5. 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

  1. 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
  2. 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.
  3. 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.
  4. 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
  5. 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
  6. 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.