Publications

I have published 38 SCI papers and 23 EI papers

First and Corresponding Author Journal Paper (19 JCR Q1, * denotes corresponding author):

  1. S. Wang, C. Li, D. W. K. Ng, Y. C. Eldar, H. V. Poor, Q. Hao, and C. Xu, "Federated deep learning meets autonomous vehicle perception: Design and verification," IEEE Network, 2022.

  2. S. Wang, R. Han, Y. Hong, Q. Hao, M. Wen, L. Musavian, S. Mumtaz, and D. W. K. Ng, "Robotic wireless energy transfer in dynamic environments: System design and experimental validation," IEEE Communications Magazine, vol. 60, no. 3, pp. 40-46, Mar. 2022.

  3. S. Wang, Y. Hong, R. Wang, Q. Hao, Y.-C. Wu, and D. W. K. Ng, "Edge federated learning via unit-modulus over-the-air computation," IEEE Transactions on Communications, vol. 70, no. 5, pp. 3141-3156, May 2022.

  4. 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, vol. 19, no. 11, Jul. 2020. (Best Paper Award from IEEE ICC and IEEE SPCC)

  5. 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, vol. 38, no. 9, pp. 2182-2196, Sept. 2020.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. S. Wang, Z. Wen, and L. Liu, "High speed QPP generator with optimized parallel architecture in LTE-Advanced," International Journal of Advancements in Computing Technology, vol. 4, no. 23, pp. 355-364, Dec. 2012.

  12. R. Han, S. Wang*, et al., "NeuPAN: Direct point robot navigation with end-to-end model-based learning," IEEE Transactions on Robotics, submitted, 2024.

  13. G. Li, R. Han, S. Wang*, F. Gao, Y. C. Eldar, and C. Xu, "Edge accelerated robot navigation with collaborative motion planning," IEEE Transactions on Mechatronics, revision, 2024.

  14. H. Li, R. Han, Z. Zhao, W. Xu, Q. Hao, S. Wang*, and C. Xu, "Seamless virtual reality with integrated synchronizer and synthesizer for autonomous driving," IEEE Robotics and Automation Letters, vol. 9, no. 5, pp. 4218-4225, Mar. 2024.

  15. T. Zhang, S. Wang*, Y. Xu, R. Wang, P. C. Ching, and H V. Poor "The generalized degrees-of-freedom region of the two-user MIMO broadcast channel with delayed CSIT," IEEE Transactions on Information Theory, vol. 70, no. 2, pp. 1167-1177, Feb. 2024.

  16. Z. Li, S. Wang*, S. Zhang, M. Wen, K. Ye, Y. C. Wu, and D. W. K. Ng, "Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty," IEEE Transactions on Vehicular Technology, vol. 72, no. 7, pp. 9641-9646, Jul. 2023.

  17. G. Li, S. Wang*, K. Ye, M. Wen, D. W. K. Ng, and M. D. Renzo, "Multi-point integrated sensing and communication: Fusion model and functionality selection," IEEE Wireless Communications Letters, vol. 11, no. 12, 2022.

  18. S. Zhang, S. Wang*, S. Yu, J.Q. Yu, and M. Wen, "Collision avoidance predictive motion planning based on integrated perception and V2V communication," IEEE Transactions on Intelligent Transportation System, vol. 23, no. 7, pp. 9640-9653, 2022.

  19. Z. Li, S. Wang*, M. Wen, and Y. C. Wu, "Secure multicast energy-efficiency maximization with massive RISs and uncertain CSI: First-order algorithms and convergence analysis," IEEE Transactions on Wireless Communications, vol. 21, no. 9, pp. 6818-6833, Sep. 2022.

  20. L. Zhou, Y. Hong, S. Wang*, 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, vol. 70, no, 1, pp. 1035-1040, Jan. 2021.

  21. S. Huang, S. Wang*, R. Wang, M. Wen, and K. Huang, "Reconfigurable intelligent surface assisted mobile edge computing with heterogeneous learning tasks," IEEE Transactions on Cognitive Communications and Networking, to appear, Jan. 2021. DOI: 10.1109/TCCN.2021.3056707.

  22. D. Liu, S. Wang*, Z. Wen, L. Cheng, M. Wen, and Y.-C. Wu, "Edge learning with unmanned ground vehicle: Joint path, energy, and sample size planning," IEEE Internet of Things Journal, vol. 8, no. 4, pp. 2959-2975, Feb. 2021.

  23. Z. Wen, S. Wang*, 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.

Other Journal Papers:

  1. T. Zhang, S. Wang, Y. Zhuang, C. You, M. Wen, and Y.-C. Wu, "Reconfigurable intelligent surface assisted OFDM relaying: Joint passive beamforming and subcarrier matching," IEEE Transactions on Vehicular Technology, accepted, Oct. 2022.

  2. Z. Li, S. Wang, Y. Li, M. Wen, Y.-C. Wu, and H. V. Poor, "Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods," MDPI Network, vol. 2, no. 3, pp. 398-418, Jul. 2022. (invited paper)

  3. R. Zhang, L. Cheng, S. Wang, Y. Lou, W. Wu, and Derrick Wing Kwan Ng, "Tensor decomposition-based channel estimation for hybrid mm-wave massive MIMO in high-mobility scenarios," IEEE Transactions on Communications, 2022, DOI: 10.1109/TCOMM.2022.3187780.

  4. X. Li, S. Wang, G. Zhu, Z. Zhou, K. Huang, and Y. Gong, "Data partition and rate control for learning and energy efficient edge intelligence," IEEE Transactions on Wireless Communications, 2022. DOI: 10.1109/TWC.2022.3173262.

  5. S. Huang, Z. Zhang, S Wang, R. Wang, and K. Huang, ‘‘Accelerating federated edge learning via topology optimization,’’ IEEE Internet of Things Journal, 2022. DOI: 10.1109/JIOT.2022.3164914.

  6. M. Zhang, S Wang, G Zhu, J. Jiang, Q. Liao, C. Zhong, and S. Cui, ‘‘Communication-efficient federated edge learning via optimal probabilistic device scheduling,’’ IEEE Transactions on Wireless Communications, 2022.

  7. X Li, S Wang, G Zhu, Z Zhou, K Huang, Y Gong, ‘‘Data partition and rate control for learning and energy efficient edge intelligence,’’ IEEE Transactions on Wireless Communications, 2022.

  8. H Zhao, F Ji, Q Guan, Q Li, S Wang, H Dong, M Wen "Federated meta-learning enhanced acoustic radio cooperative framework for ocean of things," IEEE Journal of Selected Topics in Signal Processing, Jan. 2022, DOI: 10.1109/JSTSP.2022.3144020.

  9. S. Yu, X. Chen, S Wang, L. Pu, and D. Wu, "An edge computing-based photo crowdsourcing framework for real-time 3D reconstruction," IEEE Transactions on Mobile Computing, vol. 21, no. 2, pp. 421-432, Feb. 2022.

  10. T. Zhang, Y. Xu, S Wang, M. Wen, and R. Wang, "On secure degrees of freedom of the MIMO interference channel with local output feedback," IEEE Internet of Things Journal, to appear, 2021.

  11. Z. Xu, D. Liu, S Wang, and Z. Wen, "Joint beamforming and power-splitting optimization for SWIPT-enabled MISO full-duplex two-way cooperative NOMA systems," Physical Communications, to appear, Dec. 2020.

  12. Q. Wu, J. Lu, P. Wu, S Wang, L. Chen, and M. Xia, "Edge Learning: technologies, applications, and opportunities," Radio Communications Technology, vol. 46, no. 1, pp. 6-25, Jan. 2020. (Best Paper Award)

  13. Q. Li, M. Wen, S Wang, G. C. Alexandropoulos, and Yik-Chung Wu, "Space shift keying with reconfigurable intelligent surfaces: Phase configuration designs and performance analysis," IEEE Open Journal of the Communications Society, to appear, Oct. 2020.

  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. 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.

  17. 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.

  18. 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.

First and Corresponding Author Conference Papers:

  1. S. Wang, D. Li, R. Wang, Q. Hao, Y.-C. Wu, and D. W. K. Ng, "Unit-modulus wireless federated learning via penalty alternating minimization," in Proc. IEEE Globecom, virtual, 2021.

  2. S. Wang, R. Wang, Q. Hao, Y.-C. Wu, and H. V. Poor, "Learning centric power allocation for edge intelligence," in Proc. IEEE ICC’20, Dublin, Ireland, Jun. 2020.

  3. S. Wang, M. Xia, and Y.-C. Wu, "Joint communication and motion energy minimization for UGV backscatter communication," in Proc. IEEE ICC’19, Shanghai, China, May 2019.

  4. S. Wang, L. Cheng, M. Xia, and Y.-C. Wu, "Massive MIMO multicast beamforming via accelerated random coordinate descent," in Proc. IEEE ICASSP’19, Brighton, UK, May 2019, pp. 4494-4498.

  5. S. Wang, M. Xia, and Y.-C. Wu, "Quality of service constrained wirelessly powered communication with multiple antennas," in Proc. IEEE GLOBECOM’16 Workshop on WEHCN, Washington, DC, Dec. 2016.

  6. S. Wang, Y.-C. Wu, and M. Xia, "Achieving global optimality in wirelessly-powered multi-antenna TWRC with lattice codes," in Proc. IEEE ICASSP’16, Shanghai, China, Mar. 2016, pp. 3556-3560.

  7. S. Wang, Z. Wen, et al., "Network coding with nested lattice for interference coordination of relay heterogeneous networks," in Proc. IEEE ICC’14 Workshop on CoCoNet, Sydney, Australia, Jun. 2014.

  8. S. Wang, Z. Wen, et al., "Coordinated transceiver in MIMO heterogeneous network with physical-layer network coding," in Proc. IEEE PIMRC’13, London, UK, Sep. 2013.

  9. Z. Li, S. Wang*, M. Wen, and Y.-C. Wu, "RIS-aided secure energy-efficiency maximization under uncertain CSI," in Proc. IEEE GLOBECOM, 2022.

  10. T. Zhang, S. Wang*, G. Li, F. Liu, G. Zhu, and R. Wang, "Accelerating edge intelligence via integrated sensing and communication," in Proc. ICC, virtual, 2022.

  11. Z. Zhang, S. Wang*, Y. Hong, L. Zhou, and Q. Hao, "Distributed dynamic map fusion via federated learning for intelligent networked vehicles," in Proc. IEEE ICRA, Xi’an, China, May 2021.

Other Conference Papars:

  1. X. Li, F. Liu, Z. Zhou, G. Zhu, S. Wang, K. Huang, and Y. Gong, "Integrated sensing and over-the-air computation: Dual-functional MIMO beamforming design," in Proc. 6GNet, 2022.

  2. X. Li, S. Wang, G. Zhu, Z. Zhou, Y. Gong, and K. Huang, "Learning and energy efficient edge intelligence: Data partition and rate control," in Proc. ICC, virtual, 2022.

  3. S. Huang, S. Wang, R. Wang, and K. Huang, "Joint topology and computation resource optimization for federated edge learning," in Proc. IEEE Globecom, virtual, 2021.

  4. G. Li, J. Li, S. Wang, R. Wang, X. Peng, and T. X. Han, "Wireless sensing with deep spectrogram network and primitive based autoregressive hybrid channel model," in Proc. IEEE SPAWC, virtual, Sept. 2021. (invited paper)

  5. M. Zhang, G. Zhu, S. Wang, J. Jiang, C. Zhong, and S. Cui, "Accelerating federated edge learning via optimized probabilistic device scheduling," in Proc. IEEE SPAWC, Sept. 2021. (Invited paper)

  6. S. Huang, S. Wang, M. Wen, R. Wang, and K. Huang, "Reconfigurable intelligent surface assisted edge machine learning," in Proc. ICC’21, virtual, Jun. 2021.

  7. Z. Li, S. Wang, M. Wen, and Y.-C. Wu, "Outage constrained secrecy rate maximization of intelligent reflecting surface aided transmission," in Proc. ICC’21, virtual, Jun. 2021.

  8. Z. Li, S. Wang, P. Mu, and Y.-C. Wu, "Sum rate maximization of secure NOMA transmission with imperfect CSI," in Proc. IEEE ICC’20, Dublin, Ireland, Jun. 2020.

  9. Y. Li, S. Wang, E.-S. Hui, D. Cui, H.-C. Chang, and Y.-C. Wu, "Accelerated magnetic resonance fingerprinting reconstruction using majorization-minimization," in Proc. ISMRM’17, Huonululu, Hawaii, Apr. 2017.

  10. Y. Chen, Z. Wen, S Wang, J. Sun, and M. Li, "Joint relay beamforming and source receiving in MIMO two-way AF relay network with energy harvesting," in Proc. IEEE VTC’15-Spring, Glasgow, Scotland, May. 2015.