Jiang XueAssociate Professor

Address:1-415, SEIEE Bldg,Shanghai JiaoTong University ,800 Dongchuan Road, Shanghai 200240, China

Phone:+86 21 34204198

Email:xuejiang@sjtu.edu.cn

Research Center:Institute for Signal Processing and Systems

Personal Home Page:http://sp.sjtu.edu.cn/

Biography
Xue Jiang received the M.S. degree in acoustics and signal processing from Chinese Academy of Sciences, China, and the Ph.D. degree in electrical engineering from McMaster University, Hamilton, Canada, in 2007 and 2014, respectively. From 2007 to 2010, she was a research engineer with Sunplus Inc., Beijing, China, where she was engaged in algorithmic research and development of mobile communication systems. After obtaining the Ph.D. degree, she was a postdoctoral fellow with the Department of Electrical and Computer Engineering, McMaster University. From 2015 to 2016, she was a postdoctoral fellow with the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, USA. She is currently an Associate Professor with the Department of Electronic Engineering, Shanghai Jiao Tong University. She was the key member of several projects funded by Google Inc., U.S. Air Force Research Laboratory (AFRL), Natural Sciences and Engineering Research Council (NSERC) of Canada and Defence Research and Development Canada (DRDC). She also has been in charge of the project supported by National Natural Science Foundation of China and enterprise cooperation project.
Research Areas
Statistical signal processing, array signal processing, sparse and low-rank learning, phase retrieval, and mathematical optimization, with applications to radar, sonar and communications.
ResearchDirection
Statistical signal processing, array signal processing, sparse and low-rank learning, phase retrieval, and mathematical optimization, with applications to radar, sonar and communications.
Honors
1.Best Student Paper Award  of 2013 IEEE Radar Conference.
McMaster University International Excellence Awards, 2012-2014.
Course
1.EE325: Digital Signal Processing
2.ECE706: Digital Signal Processing (McMaster University)
Selected Publications

1.Xue Jiang, H. C. So, A. Yasotharan, W. Zeng, and T. Kirubarajan, “Iterative constrained least squares for robust constant modulus beamforming,” IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 6, pp. 2671-2689, December 2017.

Xue Jiang, W. Zeng, H. C. So, A. M. Zoubir, and T. Kirubarajan, "Beamforming via nonconvex linear regression," IEEE Transactions on Signal Processing, vol. 64, no. 7, pp. 1714-1728, April 2016.

Xue Jiang, W. Zeng, H. C. So, S. Rajan, and T. Kirubarajan, "Robust matched filtering in Lp-space," IEEE Transactions on Signal Processing, vol. 63, no. 23, pp. 6184-6199, December 2015.

Xue Jiang, W. Zeng, A. Yasotharan, H. C. So, and T. Kirubarajan, "Quadratically constrained minimum dispersion beamforming via gradient projection," IEEE Transactions on Signal Processing, vol. 63, no. 1, pp. 192-205, January 2015.

Xue Jiang, W. Zeng, A. Yasotharan, H. C. So, and T. Kirubarajan, "Minimum dispersion beamforming for non-Gaussian signals," IEEE Transactions on Signal Processing, vol. 62, no. 7, pp. 1879-1893, April 2014.

Xue Jiang, W. Zeng, A. Yasotharan, H. C. So, and T. Kirubarajan, "Robust beamforming by linear programming," IEEE Transactions on Signal Processing, vol. 62, no. 7, pp. 1834-1849, April 2014.

Xue Jiang, Z. Zhong, X. Liu, and H. C. So, “Robust matrix completion via alternating projection,” IEEE Signal Processing Letters, vol. 24, no. 5, pp. 579--583, May 2017.

2.Xue Jiang, S. Rajan, and X. Liu, "Wirtinger flow method with optimal stepsize for phase retrieval," IEEE Signal Processing Letters, vol. 23, no. 11, pp. 1627-1631, Nov. 2016.

3.Xue Jiang, K. Harishan, R. Tharmarasa, T. Kirubarajan, and T. Thayaparan, "Integrated track initialization and maintenance in heavy clutter using probabilistic data association," Signal Processing, vol. 94, no. 1, pp. 241-250, January 2014.

Xue Jiang, T. Kirubarajan, and W. Zeng, "Robust sparse channel estimation and equalization in impulsive noise using linear programming," Signal Processing, vol. 93, no. 5, pp. 1095-1105, May 2013.