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Doctoral Dissertation
S. Zhang, Strategies for Sparsity-based Time-Frequency Analyses, Temple University, Dec. 2020.
Journal Publications:
S. Zhang, M. S. Pavel, and Y. D. Zhang, "Crossterm-free time-frequency representation exploiting deep convolutional neural network," Signal Processing, vol. 192, no. 108372, Mar. 2022.
S. Zhang, A. Ahmed, Y. D. Zhang, and S. Sun, "Enhanced DOA estimation exploiting multi-frequency sparse array," IEEE Transactions on Signal Processing, vol. 69, pp. 5935-5946, 2021, doi: 10.1109/TSP.2021.3122292.
S. Zhang and Y. D. Zhang, "Low-rank Hankel matrix completion for robust time-frequency analysis," IEEE Transactions on Signal Processing, vol. 68, pp. 6171-6186, 2020, doi: 10.1109/TSP.2020.3032234.
A. Ahmed, S. Zhang, and Y. D. Zhang, "Antenna selection strategy for transmit beamforming-based joint radar-communication system," Digital Signal Processing, vol. 105, no. 102768, pp. 1-11, Oct. 2020.
S. Zhang and Y. D. Zhang, "Robust time-frequency analysis of multiple FM signals with burst missing samples," IEEE Signal Processing Letters, vol. 26, no. 8, pp. 1172-1176, Aug. 2019.
S. Zhang, Y. Gu, and Y. D. Zhang, "Robust astronomical imaging in the presence of radio frequency interference," Journal of Astronomical Instrumentation, vol. 8, no. 1, pp. 1-15, March 2019.
S. Song, Z. Teng, S. Guo, and S. Zhang, "Two-stage loop-closure detection algorithm for mobile robots based on RSOM tree," Chinese Journal of Scientific Instrument, no. 2, 2016.
S. Song, S. Xia, Z. Teng, and S. Zhang, "A Precise and Real-time Loop-closure Detection for SLAM Using the RSOM Tree," International Journal of Advanced Robotic Systems, vol. 12, no. 6, April 2015.
Conference Publications:
S. Zhang, S. Pavel, and Y. D. Zhang, "Crossterm-free time-frequency analyses exploiting deep neural networks," IEEE Signal Processing in Medicine and Biology Symposium, Philadelphia, PA, Dec. 2020.
S. Zhang, A. Ahmed, Y. D. Zhang, and S. Sun, "DOA Estimation Exploiting Interpolated Multi-Frequency Sparse Array," IEEE Sensor Array and Multichannel Signal Processing Workshop, Hangzhou, China, June 2020. (Best Student Paper Award)
A. Ahmed, S. Zhang, and Y. D. Zhang, “Optimized sensor selection for joint radar-communication systems,” IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, May 2020.
S. Zhang, A. Ahmed, and Y. D. Zhang, “Sparsity-based time-frequency analysis for automatic radar waveform recognition,” IEEE International Radar Conference, Rockville, MD, April-May 2020.
A. Ahmed, S. Zhang, V. S. Amin, Y. D. Zhang, “Spectrum sharing strategy for radio frequency-based medical services,” IEEE Signal Processing in Medicine and Biology Symposium, Philadelphia, PA, Dec. 2019.
S. Zhang, A. Ahmed, and Y. D. Zhang, “Robust source localization exploiting collaborative UAV network,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2019.
S. Zhang, A. Ahmed, and Y. D. Zhang, “Sparsity-based collaborative sensing in a scalable wireless network”, SPIE Compressive Sensing Conference, Baltimore, Maryland, April 2019.
A. Ahmed, S. Zhang, and Y. D. Zhang, “Multi-target motion parameter estimation exploiting collaborative UAV network,” IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton, U.K., May 2019.
S. Song, S. Zhang, B. Schuller, L. Shen, and M. Valstar, “Noise invariant frame selection: a simple method to address the background noise problem for text-independent speaker verification,” International Joint Conference on Neural Networks, Rio, Brazil, July 2018.
S. Zhang, Y. Gu, C-H. Wong, and Y. D. Zhang, “Dimension-reduced radio astronomical imaging based on sparse reconstruction,” IEEE Sensor Array and Multichannel Signal Processing Workshop, Sheffield, U.K., July 2018.
S. Zhang, Y. Gu, W. C. Barott, and Y. D. Zhang, “Improved radio astronomical imaging based on sparse reconstruction,” SPIE Compressive Sensing Conference, Orlando, FL, April 2018.
S. Zhang, Y. Gu, B. Wang, and Y. D. Zhang, “Robust astronomical imaging under coexistence with wireless communications,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 2017.