Shuoyao Wang, IEEE Senior Member, received the B.Eng. and Ph.D. degrees in information engineering from The Chinese University of Hong Kong, Hong Kong, in 2013 and 2018, respectively. From 2018 to 2020, he was a Senior Researcher with Tencent, China. Since 2020, he has been with the College of Electronic and Information Engineering, Shenzhen University, China, where he is currently an Associate Professor. His research interests mainly involve machine learning and optimization theory in multimedia communications, wireless communications, and semantic communications.  He was a co-recipient of the Best Paper Award from IEEE ICC 2024. He is currently on the editorial board of IEEE Transactions on Mobile Computing and IEEE Open Journal of Communication Society.

[1]Ph.D. in Information Engineering The Chinese University of Hong Kong, Hong Kong, 2013.08 - 2018.07

[2]BEng. in Information Engineering The Chinese University of Hong Kong, Hong Kong, With First Honor, 2009.09 - 2013.07

[1]Associate Professor, Shenzhen University, 2024.03 - Now

[2]Assistant Professor, Shenzhen University, 2020.05 - 2024.03

[3]Senior Researcher, Tencent, 2018.12 - 2020.04

[1]ICC 2024 Best Paper Award

[2]Supervisor for the Top 100 Outstanding Undergraduate Theses of Shenzhen University’s Class of 2023

[3]Guangdong Province Electronic Information Science and Technology Award  

[4]Award of Tencent “Rhinoceros Birds” - Scientific Research Foundation for Young Teachers

[5]2019H2 Outstanding Individual Performance Award, Tencent

[6]2019H1 Outstanding Individual Performance Award, Tencent

[1]Semantic Communications

[2]Adaptive Video Streaming

[1][TMC] S. Bi, H. Chen, X. Li, S. Wang, Y. Wu, and L. Qian, "A two-stage deep reinforcement learning framework for MEC-enabled adaptive 360-degree video streaming," accepted by IEEE Transactions on Mobile Computing.

[2][TMC] S. Wang, J. Lin#, and F. Ye, "Imitation Learning for Adaptive Video Streaming with Future Adversarial Information Bottleneck Principle," accepted by IEEE Transactions on Mobile Computing.

[3][TMM]S. Wang, J. Lin#, and Y. Dai#, "MMVS: Enabling Robust Adaptive Video Streaming for Wildly Fluctuating and Heterogeneous Networks," accepted by IEEE Transactions on Multimedia.

[4][TVT] X. Li, S. Bi, S. Wang, X. Li, and Y. J. Zhang, "Digital Semantic Device-edge Co-inference with Task-oriented ARQ," accepted by IEEE Transactions on Vehicular Technology.

[5][TMC] S. Wang, J. Yang#, and S. Bi, "Adaptive Video Streaming in Multi-Tier Computing Networks: Joint Edge Transcoding and Client Enhancement," in IEEE Transactions on Mobile Computing, vol. 23, no. 4, pp. 2657-2670, April 2024.

[6][ECCV24] R. Zhao#, H. Yan#, and S. Wang, "Revisiting Domain-Adaptive Object Detection in Adverse Weather by the Generation and Composition of High-Quality Pseudo-Labels," European Conference on Computer Vision (ECCV), Milan, Italy, Sep. 2024.

[7][IJCAI24] H. Yan# and S. Wang, "DFMDA-Net: Dense Fusion and Multi-dimension Aggregation Network for Image Restoration," International Joint Conference on Artificial Intelligence (IJCAI), Jeju, Aug. 2024.

[8][ICC24] W. Feng#, Y. Dai#, and S. Wang, "Adaptive 360-Degree Video Streaming with Multi-window and Stochastic Viewport Prediction,” IEEE International Conference on Communications (ICC), Denver, USA, June 2024. ( Best Paper Award, 15/2364=Top 0.6% )

[9][MM23] P. Zhang#, H. Yan#, W. Wu, and S. Wang, “Improving Federated Person Re-Identification through Feature-Aware Proximity and Aggregation,” ACM International Conference on Multimedia (MM), Ottawa, CAnada, Oct. 2023.

[10][SPL] S. Wang and S. Bi, "Improving Beam Alignment Accuracy in mmWave Communication Systems With Auxiliary Tasks," in IEEE Signal Processing Letters, vol. 30, pp. 992-996, 2023.

[11] [IOTJ] L. Zheng, S. Bi, S. Wang, Z. Quan, X. Li, X. Lin, and H. Wang, "ResMon: Domain-adaptive wireless respiration state monitoring via few-shot Bayesian deep learning," in IEEE Internet of Things Journal, vol. 10, no. 23, pp. 20914-20927, 1 Dec.1, 2023.

[12][TWC] S. Wang, S. Bi, and Y. J. A. Zhang, "Edge Video Analytics with Adaptive Information Gathering: A Deep Reinforcement Learning Approach," in IEEE Transactions on Wireless Communications, vol. 22, no. 9, pp. 5800-5813, Sept. 2023. [Github]

[13][JSAC] S. Wang, S. Bi and Y. -J. A. Zhang, "Deep Reinforcement Learning With Communication Transformer for Adaptive Live Streaming in Wireless Edge Networks," in IEEE Journal on Selected Areas in Communications, vol. 40, no. 1, pp. 308-322, Jan. 2022. ( Spotlight Paper )

[14][TWC] S. Wang, S. Bi, and Y. J. Zhang, “Adaptive Wireless Video Streaming: Joint Transcoding and Transmission Resource Allocation,” in IEEE Transactions on Wireless Communications, vol. 21, no. 5, pp. 3208-3221, May 2022.

[15][TSNE] T.Wu, Y. J. Zhang, and S. Wang*, “Deep Learning to Optimize: Security-Constrained Unit Commitment with Uncertain Wind Power Generation and BESSs,” in IEEE Transactions on Sustainable Energy, vol. 13, no. 1, pp. 231-240, Jan. 2022.

[16][TII] S. Wang, S. Bi, and Y. J. Zhang, “Reinforcement learning for real-time pricing and scheduling control in EV charging stations,” IEEE Transactions on Industrial Informatics, vol. 17, no. 2, pp. 849-859, Feb. 2021. ( ESI Highly Cited Paper May 2021 )

[17][IJCAI20] S. Wang and D. Zhu, “Interpretable multimodal learning for intelligent regulation in online payment systems,” International Joint Conference on Artificial Intelligence (IJCAI), Yokohama, Japan, July 2020.

[18][IOTJ] S. Wang, S. Bi, and Y. J. Zhang, “Locational Detection of the False Data Injection Attack in a Smart Grid: A Multilabel Classification Approach,” IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8218-8227, Sept. 2020.

[19][TPWRS] S. Wang, S. Bi, and Y. J. Zhang, “Demand response management for profit maximizing energy loads in real-time electricity market,” IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 6387-6396, November 2018.

[20][TSNE] S. Wang, S. Bi, Y. J. Zhang, and J. W. Huang, “Electrical vehicle charging station profit maximization: admission, pricing, and online Scheduling,” IEEE Transactions on Sustainable Energy, vol. 9, no. 4, pp. 1722-1731, October 2018.

[1]IEEE Transactions on Mobile Computing, Associate Editor, 2024.01 - Now

[2]IEEE Open Journal of Communication Society, Associate Editor, 2024.01 - Now

[3]Conference Organization: Symposium Chair: WOCC 2022; Session Chair: ICME 2023, GLOEBECOM 2023.

[4]TPC Members: AAAI2023/2024/2025,ICCC2024, ICME2024, ICLR2024,IJCAI2024,NeurIPS2024, SmartGridComm2022/2024