Research Assistant Professor Department of Electrical and Electronic Engineering, Department of Computer Science and Engineering   Research Group

Dr. Shuai Wang received the Ph.D. degree in Electrical and Electronic Engineering from the University of Hong Kong in 2018. From 2018 to 2019, he has been a Postdoctoral Fellow and then a Lecturer at the University of Hong Kong. Currently, he is a Research Assistant Professor at Southern University of Science and Technology. Dr. Wang received the Best Paper Award from the IEEE International Conference on Communications 2020. He was selected as the Exemplary Reviewer for the IEEE Transactions on Wireless Communications and the IEEE Wireless Communications Letters. Dr. Wang has published over 20 papers in top journals such as IEEE JSAC、JSTSP、TWC、TSP、TMC, among which 10 papers are published as first/corresponding author. In recent years, Dr. Wang has developed several experimental platforms, including a wireless power transfer platform, a robot edge intelligence system, and a V2X AI platform system. Dr. Wang has participated in 3GPP and IEEE standardization (with Hitachi and Huawei). Currently, his interest includes wireless communications, unmanned autonomous systems, and machine learning.

Personal Profile


wireless communication, unmanned system, machine learning


digital communications、numerical methods and optimization

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First/Corresponding Author:

[1] S. Wang, Y.-C. Wu, M. Xia, R. Wang, and H. V. Poor, ``Machine intelligence at the edge with learning centric power allocation,'' IEEE Transactions on Wireless Communications, Jul. 2020. DOI: 10.1109/TWC.2020.3010522. (conference version received best paper award)

[2] S. Wang, R. Wang, Q. Hao, Y.-C. Wu, and H. V. Poor, “Learning centric power allocation for edge intelligence,” IEEE ICC, Dublin, Ireland, Jun. 2020. (Best Paper Award, 15/2100).

[3] S. Wang, M. Wen, M. Xia, R. Wang, Q. Hao and Y.-C. Wu, ``Angle aware user cooperation for secure massive MIMO in Rician fading channel,'' IEEE Journal on Selected Areas in Communications, early access, Jun. 2020. DOI: 10.1109/JSAC.2020.3000837.

[4] S. Wang, M. Xia, and Y.-C. Wu, “Backscatter data collection with unmanned ground vehicle: Mobility management and power allocation,” IEEE Transactions on Wireless Communications, vol. 18, no. 4, pp. 2314-2328, Apr. 2019.

[5] S. Wang, M. Xia, and Y.-C. Wu, “Multicast wirelessly powered network with large number of antennas via first-order method,” IEEE Transactions on Wireless Communications, vol. 17, no. 6, pp. 3781-3793, Jun. 2018.

[6] S. Wang, M. Xia, and Y.-C. Wu, “Space-time signal optimization for SWIPT: Linear versus nonlinear energy harvesting model,” IEEE Communications Letters, vol. 22, no. 2, pp. 408-411, Feb. 2018.

[7] S. Wang, M. Xia, K. Huang, and Y.-C. Wu, “Wirelessly powered two-way communication with nonlinear energy harvesting model: Rate regions under fixed and mobile relay,” IEEE Transactions on Wireless Communications, vol. 16, no. 12, pp. 8190-8204, Dec. 2017.

[8] S. Wang, M. Xia and Y.-C. Wu, “Multi-pair two-way relay network with harvest-then-transmit users: resolving pairwise uplink-downlink coupling,” IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 8, pp. 1506-1521, Dec. 2016.

[9] D. Liu, S. Wang*(corresponding author), Z. Wen, L. Cheng, M. Wen, and Y.-C. Wu, ``Edge learning with unmanned ground vehicle: Joint path, energy, and sample size planning,'' to appear in IEEE Internet of Things Journal, Aug. 2020, DOI: 10.1109/JIOT.2020.3023000.

[10] Z. Wen, S. Wang*(corresponding author), X. Liu, and J. Zou, “Joint relay-user beamforming design in full-duplex two-way relay channel,” IEEE Transactions on Vehicular Technology, vol. 66, no. 3, pp. 2874-2879, Mar. 2017.

[11] L. Zhou, Y. Hong, S. Wang*(corresponding author), R. Han, D. Li, R. Wang, and Q. Hao, ``Learning centric wireless resource allocation for edge computing: Algorithm and experiment,'' IEEE Transactions on Vehicular Technology, major revision, Aug. 2020.

[12] S. Huang, S. Wang*(corresponding author), R. Wang, M. Wen, and K. Huang, ``Reconfigurable intelligent surface assisted mobile edge computing with heterogeneous learning tasks'', submitted to IEEE Transactions on Cognitive Communications and Networking, Aug. 2020.

Other Journal Papers:

[13] S. Yu, X. Chen, S. Wang, L. Pu, and D. Wu, ``An edge computing-based photo crowdsourcing framework for real-time 3D reconstruction,'' to appear in IEEE Transactions on Mobile Computing, early access, Jun. 2020. DOI: 10.1109/TMC.2020.3007654.

[14] L. Cheng, X. Tong, S. Wang, Y.-C. Wu, and H. V. Poor, ``Learning nonnegative factors from tensor data: Probabilistic modeling and inference algorithm,'' IEEE Transactions on Signal Processing, early access, Feb. 2020. DOI: 10.1109/TSP.2020.2975353.

[15] Z. Li, S. Wang, P. Mu, and Y.-C. Wu, ``Probabilistic constrained secure transmission: Variable rate design and performance analysis,'' IEEE Transactions on Wireless Communications, vol. 19, no. 4, pp. 2543-2557, Apr. 2020.

[16] Q. Wu, J. Lu, P. Wu, S. Wang, L. Chen, and M. Xia,  ``Edge learning: Key technologies, applications, and challenges,'' invited paper in Radio Communications Technology, vol. 46, no. 1, pp. 6-25, Jan. 2020.

[17] Z. Wen, X. Liu, N. C. Beaulieu, R. Wang, and S. Wang, “Joint source and relay beamforming design for full-duplex MIMO AF relay SWIPT systems,” IEEE Communications Letters, vol. 20, no. 2, pp. 320-323, Feb. 2016.

[18] Y. Chen, Z. Wen, N. C. Beaulieu, S. Wang, and J. Sun, “Joint source-relay design in a MIMO two-hop power-splitting based relaying network,” IEEE Communications Letters, vol. 19, no. 10, pp. 1746-1749, Oct. 2015.

[19] Z. Wen, S. Wang, C. Fan, and W. Xiang, “Joint transceiver and power splitter design over two-way relaying channel with lattice codes and energy harvesting,” IEEE Communications Letters, vol. 18, no. 11, pp. 2039-2042, Nov. 2014.

News More

  • Feb. 17, 2020: The work with Miaowen Wen, Minghua Xia, Rui Wang, Qi Hao, and Yik-Chung Wu is accepted by IEEE Journal on Selected Areas in Communications (JSAC).

  • Feb 7, 2020: The joint work with Lei Cheng, Xueke Tong, Yik-Chung Wu, and H. Vincent Poor has been accepted by IEEE Transactions on Signal Processing.

  • Jan. 17, 2020: Two papers have been accepted by IEEE ICC 2020.


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