Dr. Yuan Ma received the B.Sc. degree (First Class Hons.) in telecommunications engineering from Beijing University of Posts and Telecommunications, Beijing, China, in 2013, and the Ph.D. degree in electronic engineering from Queen Mary University of London, London, U.K., in 2017. She is currently an Associate Professor with the College of Electronic and Information Engineering, Shenzhen University, Shenzhen, China. Her research interests include cognitive communication networks, sparse signal processing, machine learning in communications, etc.

[1]2009.09 - 2013.06, Beijing University of Posts and Telecommunications

[2]2013.09 - 2017.10, Queen Mary University of London

[1]2018.03-now, Shenzhen University

[1]Satellite-Ground Integrated Networks

[2]Cognitive Communication Networks

[3]Machine Learning in Communications

[4]Sparse Signal Processing

[1]IEEE Technical Committee on Cognitive Networks Vice Chair (Asia Pacific)

[2]IET Communications Associate Editor

[3]IEEE GLOBECOM 2024 Symposium Co-Chair of Cognitive Radio and AI-Enabled Networks

[4]IEEE Globecom/ICC TPC Member

[J1] X. Zhang, Y. Ma*, Y. Liu, et.al., “Robust DNN-based Recovery of Wideband Spectrum Signals,” IEEE Wireless Communications Letters, accepted, Jun. 2023.

[J2] Y. Ma, S. Ren, Z. Quan, and Z. Feng, “Data-Driven Hybrid Beamforming for Uplink Multi-User MIMO in Mobile Millimeter-Wave Systems,” IEEE Transactions on Wireless Communications, vol. 21, no. 11, pp. 9341-9350, Nov. 2022. (IF：8.346)

[J3] Y. Ma, S. Ren, W. Chen, and Z. Quan, “Data-Driven Beam Tracking for Mobile Millimeter-Wave Communication Systems without Channel Estimation,” IEEE Wireless Communications Letters, vol. 10, no. 12, pp. 2747-2751, Dec. 2021. (IF: 5.281)

[J4] R. Liu, Y. Ma*, et.al., “Deep-Learning based Spectrum Sensing in Space-Air-Ground Integrated Networks”, Journal of Communications and Information Networks, Vol. 6, No. 1, pp. 23-31, Mar. 2021.

[J5] O. Elnahas, Y. Ma, Y. Jiang, and Z. Quan, “Clock Synchronization in Wireless Networks using Matrix Completion based Maximum Likelihood Estimation”, IEEE Transactions on Wireless Communications, vol. 19, no. 12, pp. 8220-8231, Dec. 2020. (IF：8.346)

[J6] Y. Ma, et.al., “Optimal Linear Cooperation for Signal Classification in Cognitive Communication Networks,” IEEE Transactions on Wireless Communications, vol. 19, no. 5, pp. 3144-3155, May 2020. (IF：8.346)

[J7] Y. Ma, Z. Quan, D. Li, and B. Zhang, “Minimizing Misclassification for Cooperative Spectrum Sensing using M-ary Hypothesis Testing,” IEEE Transactions on Vehicular Technology, vol. 68, no. 8, pp. 8210-8215, Aug. 2019. (IF: 6.239)

[J8] Y. Ma, Y. Gao, et.al., “TV White Space Spectrum Analysis based on Machine Learning,” Journal of Communications and Information Networks, Vol. 4, No. 2, pp. 23-35, Jun. 2019. (Best Paper Award)

[J9] Y. Ma, X. Wang, Z. Quan, and H. V. Poor, "Data-Driven Measurement of Receiver Sensitivity in Wireless Communication Systems," IEEE Transactions on Communications, vol. 67, no. 5, pp. 3665-3676, May 2019. (IF: 6.166)

[J10] X. Zhang, Y. Ma*, Y. Gao, and W. Zhang, “Autonomous Compressive Sensing Augmented Spectrum Sharing,” IEEE Transactions on Vehicular Technology, vol. 67, no. 8, pp. 6970-6980, Aug. 2018. (IF: 6.239)

[J11] Y. Ma, X. Zhang, and Y. Gao, “Joint Sub-Nyquist Spectrum Sensing Scheme with Geolocation Database over TV White Space,” IEEE Transactions on Vehicular Technology, vol. 67, no. 5, pp. 3998-4007, May 2018. (IF: 6.239)

[J12] X. Zhang, Y. Ma*, Y. Gao, and S. Cui, “Real-time Adaptively Regularized Compressive Sensing in Cognitive Radio Networks,” IEEE Transactions on Vehicular Technology, vol. 67, no. 2, pp. 1146-1157, Feb. 2018. (IF: 6.239)

[J13] X. Zhang, Y. Ma*, H. Qi, and Y. Gao, “Low-Complexity Compressive Spectrum Sensing for Large-Scale Real-Time Processing,” IEEE Wireless Communications Letters, vol. 7, no. 4, pp. 674-677, Aug. 2018.

[J14] X. Zhang, Y. Ma, Y. Gao, et al., "Distributed Compressive Sensing Augmented Wideband Spectrum Sharing for Cognitive IoT," IEEE Internet of Things Journal, vol. 5, no. 4, pp. 3234-3245, Aug. 2018. (IF：9.515)

[J15] Y. Ma, Y. Gao, A. Cavallaro, C. G. Parini, W. Zhang, and Y.-C. Liang, “Sparsity Independent Sub-Nyquist Rate Wideband Spectrum Sensing on Real-time TV White Space,” IEEE Transactions on Vehicular Technology, vol. 66, no. 10, pp. 8784 - 8794, Apr. 2017. (IF: 6.239)

[J16] Y. Ma, Y. Gao, Y.-C. Liang, and S. Cui, “Reliable and Efficient Sub-Nyquist Wideband Spectrum Sensing in Cooperative Cognitive Radio Networks,” IEEE Journal on Selected Areas in Communications, vol. 34, no. 10, pp. 2750-2762, Oct. 2016. (IF: 8.085)