Xinliang Zhang

PhD student

Personal Information

I am a PhD student at the Villanova University in 2018 Fall, under the supervision of Dr. Mojtaba Vaezi. My work focuses on machine learning in wireless communication system, for reliable quality, reduced latent and secure services.

Area of interest

Physical layer security

Machine learning for wireless communication

Machine learning for signal processing

Time-frequency analysis

Signal classification and identification

Publications

Preprints

[1] Xinliang Zhang and Mojtaba Vaezi. A DNN-based multi-objective precoding for Gaussian MIMO networks. arXiv preprint arXiv:2007.02896, 2020.

Journals

[4] Xinliang Zhang, Yue Qi, and Mojtaba Vaezi. A rotation-based method for precoding in Gaussian MIMOME channels. IEEE Transactions on Communications, 2020.

[3] Mojtaba Vaezi, Yue Qi, and Xinliang Zhang, A Rotation-Based Precoding for MIMO Broadcast Channels With Integrated Services, IEEE Signal Processing Letters, 26(11), 1708-1712, 2019.

[2] Mingzhe Zhu, Yue Qi, and Xinliang Zhang, A New Interpretation of S-Transform Spectrum: Phase Hopping Analysis and Estimation. Chinese Journal of Electronics, 28(2), 338-343, 2019.

[1] Xinliang Zhang, Yue Qi, and Mingzhe Zhu, Characteristic Analysis of White Gaussian Noise in S-Transformation Domain. Journal of Computer and Communications, 2(02), 20-24, 2014.

Conferences

[7] Xinliang Zhang and Mojtaba Vaezi. A DNN-based multi-objective precoding for Gaussian MIMO networks. In Proc. IEEE Global Communications Conference (GLOBECOM), 2020.

[6] Xinliang Zhang, Yue Qi, and Mojtaba Vaezi. A new precoding for the MIMO Gaussian channel with multi-antenna eavesdroppers. In Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pages 1-6, 2020.

[5] Xinliang Zhang and Mojtaba Vaezi. Deep learning based precoding for the MIMO Gaussian wiretap channel. In Proc. IEEE Global Communications Conference (GLOBECOM) Workshops, 2019.

[4] Mingzhe. Zhu, Xinliang Zhang, Yue Qi, and Hongbing. Ji, Compressed Sensing Mask Feature in Time-Frequency Domain for Civil Flight Radar Emitter. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.

[3] Yue Qi, Mingzhe Zhu, Xinliang Zhang, and Fei Fu, Earthen Archaeological Site Monitoring Data Analysis Using Kernel-based ELM and Non-Uniform Sampling TFR. In Proc. Extreme Learning Machine (ELM), 2016.

[2] Mingzhe Zhu, Xinliang Zhang, and Yue Qi, An Adaptive STFT Using Energy Concentration Optimization. In Proc. IEEE International Conference on Information and Communication Systems (ICICS), 2015.

[1] Mingzhe Zhu, Zhenhua Jiang, Xinliang Zhang, and Yue Qi, A S-transform Based Spectrum Enhancement Method for Complex Noise Environment. In Proc. IEEE International Conference on Audio, Language and Image Processing (ICALIP), 2014.

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