Shuoyao Wang (王朔遥) Associate Professor (tenured) College of Electronic and Information Engineering, Shenzhen University Shenzhen Key Laboratory of Digital Creative Technology Guangdong Province Engineering Laboratory for Digital Creative Technology Email: sywang[AT]szu[Dot]edu[Dot]com [2023招生信息][CV] • [Google Scholar] • [Publications] •[中文主页] •[Github]

About Me

Dr. Shuoyao Wang received the B.Eng. (with first honor) 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 a tenured Associate Professor. His research interests mainly involve integrated machine learning and optimization in networked systems, such as video streaming, video analytics, and semantic communications. He has published more than 30 technical papers at top conferences and journals. He is currently on the editorial board of IEEE Transactions on Mobile Computing and IEEE Open Journal of Communication Society.

Research Interests

• Multimedia Communications: Real-Time Communications, Adaptive Video Streaming, Content Delivery Network
• Machine Learning in Communications: Semantic Communications, Edge Video Analytics
• Smart Grid Communications: EV Charging, Demand Response
• My research applies state-of-the-art machine learning techniques to drastically improve the performance of networked systems, such as video streaming, wireless networking, and power systems.

News

• Apr 2024: One paper on Image Restoration is ACCEPTED by IJCAI 2024, congrats to Huibin.
• Mar 2024: I'm appointed as an Associate Professor of Shenzhen University.
• Jan 2024: I'm serving as the associate editor for IEEE Transcations on Mobile Computing (CCF-A).
• Jan 2024: One paper on 360-degree adaptive video streaming is ACCEPTED by ICC 2024, congrats to Weichao.
• Jan 2024: I'm serving as the associate editor for IEEE Open Journal of Communication Society (OJ-COM, JCR Q1).
• Nov 2023: One paper on EV Charging are accepted by IOTJ, congrats to Jie.
• Sep 2023: One paper on Network-friendly Recommendation are accepted by VTC 2023 Fall, congrats to Jiayin.
• Aug 2023: One paper on Semantic Communication, and one on Network-friendly Recommendation are accepted by GLOBECOM 2023, congrats to Mingze and Junxian.
• Jul 2023: One paper on Learning-based Beam Alignment is accepted by IEEE Signal Processing Letters.
• Jul 2023: One paper on Federated Person ReID is accepted by ACM MM 23, congrats to Pengling and Huibin.

Publications

Bubble

• J. Lin, and S. Wang, "Adaptive Video Streaming in Integrated Satellite-Terrestrial Networks: A Low-Complexity Model Predictive Control Approach," submitted to WCL.
• Y. Quan, Y. Dai, and S. Wang, "Optimizing Live Streaming QoE with Cloud-Edge Collaborative Transcoding," submitted to Comm Letters.
• H. Yan and S. Wang, "Multi-Frequency Global-Recovery for Image Restoration," submitted to TMM
• S. Wang, J. Lin, and F. Ye, "Imitation Learning for Adaptive Video Streaming with Future Adversarial Information Bottleneck Principle," major revision in TMC.
• M. Gong, S. Wang, F. Ye, and S. Bi, "Compression before Fusion: Broadcast Semantic Communication System for Heterogeneous Tasks," major revision in TWC.
• H. Yan and S. Wang, "Image De-raining with Enhanced Content Adaptation and Global Modelling," revision in SPL.
• Z. Xu, S. Wang, and Y. J. A. Zhang, "Adaptive mmWave Beam Alignment for Diverse Scenarios with CSI-Free Probing," major revision in TWC.
• S. Wang, J. Lin, and Y. Dai, "MMVS: Enabling Robust Adaptive Video Streaming for Wildly Fluctuating and Heterogeneous Networks," minor revision in TMM.

Journal

• [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.
• [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. [Github]
• [IOTJ] J. Liu, S. Wang, and X. Tang, "Cooperative Charging Management for Multiple Charging Stations via Deep Reinforcement Learning," in IEEE Internet of Things Journal, vol. 11, no. 6, pp. 11137-11151, 15 March15, 2024.
• [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.
• [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.
• [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]
• [SPL] B.Zhou, H.Yan, and S. Wang*, "Structure and Texture Preserving Network for Real-World Image Super-Resolution," in IEEE Signal Processing Letters, vol. 29, pp. 2173-2177, 2022. [Github]
• [EIR] X. Tang, C. Sun, S. Bi, S. Wang, and Y. J. Zhang, “A Holistic Review on Advanced Bi-directional EV Charging Control Algorithms,” in ACM SIGEnergy Energy Informatics Review, vol. 1, no. 1, pp. 78–88, Jan. 2022.
• [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, doi: 10.1109/JSAC.2021.3126062. [PDF][Github]
• [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. [PDF][Github]
• [SPL] H.Yan and S. Wang*, "FCGP: Infrared and Visible Image Fusion via Joint Contrast and Gradient Preservation," in IEEE Signal Processing Letters, vol. 28, pp. 2038-2042, 2021, doi: 10.1109/LSP.2021.3115035.
• [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, doi: 10.1109/TSTE.2021.3107848.
• [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.[Github] ( ESI Highly Cited Paper May 2021 )
• [IOTJ] S. Wang, S. Bi, and Y. J. Zhang, “Locational Detection of the False Data Injection Attack in a Smart Grid: A MultilabelClassification Appro,” IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8218-8227, Sept. 2020.[Github]
• [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.
• [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. [Published Version][Full Version with Proof]

Conference

• [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.
• [VTC24-Spring] S. Wang and J. Lin, "Beyond Profit: A Multi-Objective Framework for Electric Vehicle Charging Station Operations," IEEE Vehicular Technology Conference, Singapore, Singapore, June. 2024.
• [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.
• [INFOCOMW24] S. Bi, H. Chen, X. li, S. Wang, and X. Lin, "Double-Agent Deep Reinforcement Learning for Adaptive 360-Degree Video Streaming in Mobile Edge Computing Networks," IEEE International Conference on Computer Communications Workshop (INFOCOM Wkshps), Vancouver, Canada, May 2024.
• [GLOBECOMW23] Z. Xu, S. Wang*, and Y. J. A. Zhang, "SAMBA: Scenario-Adaptive Meta-learning for mmWave Beam Alignment,” IEEE Globecom Workshops (GC Wkshps), Kuala Lumpur, Malaysia, Dec. 2023.
• [VTC23-Fall] J. Hou, J. Lin, and S. Wang*, "Maximizing Ranking-Aware Recommendation Quality for Low-Complexity Network-Friendly Recommendation,” IEEE Vehicular Technology Conference, Hong Kong, China, Oct. 2023.
• [GC23] M. Gong, S. Wang*, and S. Bi, "A Scalable Multi-Device Semantic Communication System for Multi-Task Execution,” IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023.
• [GC23] J. Lu, and S. Wang*,"Network-Friendly Sequential Recommendation with Quality Constraints: A Safe Deep Reinforcement Learning approach,” IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023.
• [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 (Accpetance Rate 902/3669=24.6%).
• [ICME23] J. Lin, and S. Wang*,"Improving robustness of learning-based adaptive video streaming in wildly fluctuating networks,” IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, July 2023 (Oral, Acceptance Rate 294/1415=20.7%).
• [SmartGridCOMM22] J.Liu#, S. Wang#, and X. Tang, “Pricing and Charging Scheduling for Cooperative Electric Vehicle Charging Stations via Deep Reinforcement Learning,” IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Singapore, Singapore, 2022, pp. 212-217.
• [ICC22] J. Yang, Y. Jiang, and S. Wang*, “Enhancement or Super-Resolution: Learning-based Adaptive Video Streaming with Client-Side Video Processing,” IEEE International Conference on Communications (ICC), Seoul, Korea, Republic of, 2022, pp. 739-744.
• [ICME21] H. Yan and S. Wang*, “L2 norm is all your need: infrared-visible image fusion via guided transformation minimization,” IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, Jul. 2021.
• [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. [PDF]
• [PESGM18] S. Wang, S. Bi, and Y. J. Zhang, “A reinforcement learning approach for EV charging station dynamic pricing and scheduling control,” IEEE Power and Energy Society General Meeting (PESGM), Portland, OR, USA, August 2018.
• [ICC18] S. Wang, S. Bi, and Y. J. Zhang, “The impacts of energy customers demand response on real-time electricity market participants,” IEEE International Conference on Communications (ICC), Kansas City, MO, USA, May 2018.

Services

• GlobeCom 2023 Session Chairs
• WOCC 2022 Symposium Chair of Big Data and Machine Learning Symposium
• ICME 2023 Session Chair of Robustness Session

• SmartGridComm 2022
• AAAI 2023 2024
• IJCAI 2024
• INFOCOMW 2024

Talks

• 2024 April: Rethinking Learning-based Bitrate Adaptation Algorithms in Video Streaming, @ZJUT, Hosted by Prof. Liang Huang
• 2024 March: Optimizing Vehicle-Centric Networked Systems: Elastic Demand Adaptation in Dynamic Environments, @HKUST-GZ, Hosted by Prof. Danny Hin-Kwok TSANG
• 2023 NoV: Video Streaming in Multi-Tier Computing Networks: A Cross-Layer Optimization Approach, @SYSU, Hosted by Prof. Congduan Li

Teaching

• 2024 Spring: Scientific Paper Writing
• 2023 Fall: Machine Learning
• 2022 Fall: Machine Learning
• 2022 Spring: Probability Theory and Statistics
• 2021 Fall: Machine Learning
• 2021 Spring: Cutting Edge Applied Machine Learning
• 2021 Spring: Probability Theory and Statistics

Postgraduate Students

• Huibin Yan (PhD, 2020-)#: Image Restoration and Synthtise
• Jiayin Hou (Master, 2021-): Joint Transmission and Recommendation
• Jiawei Lin (Master, 2021-): Wireless Video Streaming
• Junxian Lu (Master, 2021-): Joint Transmission and Recommendation
• Yimin Quan (Master, 2021-)#: Wireless Video Streaming
• Rui Zhao (PhD, 2022-)#: Object Detection
• Yu Dai (Master, 2022-): Wireless Video Streaming
• Weichao Feng (Master, 2022-): Wireless Video Streaming
• Mingze Gong (Master, 2022-): Semantic Communications
• Ke Liu (Master, 2022-): Wireless Video Streaming
• Junkang Ma (Master, 2022-)#: Point Cloud Completion
• Kailang Ye (Master, 2022-): Semantic Communications
• Weisheng Xie (Undergraduate&Master, 2019-2023-): Semantic Communications
• Boyuan Li (Master, 2023-): Real-Time Video Communications

Alumnus

• Junyan Yang (Master, 2020-2023)#: Wireless Video Streaming, Now with BYD
• Pengling Zhang (Master, 2020-2023)#: Federated Person Re-ID, Now with BYD
• Bijun Zhou (Master, 2020-2023)#: Image Super-Resolution, Now with 中粮集团