Shuoyao Wang (王朔遥) Associate Professor (tenured) College of Electronic and Information Engineering (丁文华院士团队), Shenzhen University Email: sywang[AT]szu[Dot]edu[Dot]com [2024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

• Oct 2024: Our Paper "A Bayesian optimization approach for online system configuration of edge video analytics" won the BEST PAPER AWARD in WCSP 2024 (8/641).
• Oct 2024: One paper on SemComm is ACCEPTED by TWC, congrats to Mingze.
• Sep 2024: One paper on ABR with Integrated Satellite-Terrestrial Networks is ACCEPTED by WCL, congrats to Jiawei.
• Aug 2024: Two papers on ABR and One paper on Near-Field Codebook Design are accepted by TMC, TMM, and Asilomar.
• Jul 2024: I'm selected as the senior member of IEEE.
• Jul 2024: One paper on Domain Adaptive Object Detection is ACCEPTED by ECCV 2024, congrats to Rui and Huibin.
• Jun 2024: One paper on Digital SemComm is ACCEPTED by ICCC 2024, congrats to Mingze. See you in Hangzhou.
• May 2024: Our Paper "Adaptive 360-Degree Video Streaming with Multi-window and Stochastic Viewport Prediction" won the BEST PAPER AWARD in ICC 2024 (15/2364), congrats to Weichao and Daiyu. See you in Denver.
• 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 ABR 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).

Publications

Bubble

• Y. Dai#, S. Wang, and J. Lin#, "Enhancing User Experience and Storage Efficiency for Adaptive Video Streaming in Edge Networks", submitted to TCCN.
• J. Ma#, S. Wang, Q. Zheng, and X. Mai, "Geometric Continuity and Consistency Learning for Self-Supervised Point Cloud Completion", submitted to TMM.
• Z. Xu, S. Wang, and Y. J. A. Zhang, "Near Field Sparse Representation and Dictionary Design Using Discrete Fresnel Transform", submitted to TWC.
• M. Gong#, S. Wang, S. Bi, Y. Wu, and L. Qian, "Digital Semantic Communications: An Alternating Multi-Phase Training Strategy with Mask Attack", submitted to TWC.[Arxiv] [Github]
• W. Feng#, Y. Dai#, and S. Wang, "Adaptive 360-Degree Streaming: Optimizing with Multiwindow and Stochastic Viewport Prediction", major revision in TMC.
• Z. Xu, S. Wang, and Y. J. A. Zhang, "Adaptive mmWave Beam Alignment for Diverse Scenarios with CSI-Free Probing," major revision in TWC.

Journal

• [TWC] M. Gong#, S. Wang, F. Ye, and S. Bi, "Compression before Fusion: Broadcast Semantic Communication System for Heterogeneous Tasks," accepted by IEEE Transactions on Wireless Communications. [Arxiv]
• [LWC] J. Lin#, and S. Wang, "Adaptive Video Streaming in Integrated Satellite-Terrestrial Networks: A Low-Complexity Model Predictive Control Approach," accepted by IEEE Wireless Communications Letters.
• [IOTJ] J. Hou#, J. Lin#, and S. Wang, "A Scalable Re-Ranking Optimization Approach for Real-Time Network-Friendly Recommendations," accepted by IEEE Internet of Things Journal.
• [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.
• [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.
• [TCSVT] S. Kang, S. Gao, W. Wu, X. Wang, S. Wang, and G. Qiu, "Image Intrinsic Components Guided Conditional Diffusion Model for Low-light Image Enhancement," accepted by IEEE Transactions on Circuits and Systems for Video Technology.
• [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.
• [TVT] X. Li, S. Bi, S. Wang, X. Li, and Y. J. Zhang, "Digital Semantic Device-edge Co-inference with Task-oriented ARQ," in IEEE Transactions on Vehicular Technology, vol. 73, no. 9, pp. 13986-13990, Sept. 2024.
• [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]( Spotlight Paper )
• [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

• [WCSP24] H. Tang, S. Bi, S. Wang, X.-H. Lin, Y. Gu, and Z. Quan, "A Bayesian optimization approach for online system configuration of edge video analytics," in Proc. International Conference on Wireless Communications and Signal Processing (WCSP), Hefei, China, October 2024.( Best Paper Award, 8/641=Top 1.2% )
• [Asilomar24] Z. Xu, S. Wang, and Y. J. A. Zhang, "Near Field Dictionary Design and Channel Estimation Using Discrete Fresnel Transform," Asilomar Conference on Signals, Systems, and Computers, Asilomar, Oct 2024.
• [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.
• [ICCC24] M. Gong#, S. Wang, and S. Bi,, "Alternative Multi-Phase Training with Mask Attack for Digital Semantic Communications," IEEE International Conference on Communications in China (ICCC), Hangzhou, China, Aug. 2024.
• [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. ( Best Paper Award, 15/2364=Top 0.6% )
• [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.
• [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, Top 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

• 2022: SmartGridComm
• 2023: AAAI
• 2024: GLOEBCOM IJCAI AAAI ICME INFOCOMW ICCC NeurIPS
• 2025: AAAI ICLR

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 Fall: Machine Learning
• 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
• 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
• Cheng Nie (Master, 2024-): Semantic Communications
• Chonghua Yang (Master, 2024-): Semantic Communications

Alumnus

• Pengling Zhang (Master, 2020-2023)#: Wireless Video Streaming, Now with BYD as a Computer Vision Researcher
• Junyan Yang (Master, 2020-2023)#: Federated Person Re-ID, Now with BYD as a BIOS Developer
• Bijun Zhou (Master, 2020-2023)#: Image Super-Resolution, Now with 中粮集团 as a Data Scientist
• Yimin Quan (Master, 2021-2024)#: Wireless Video Streaming, Now with 安克创新 as a Machine Learning Developer
• Jiayin Hou (Master, 2021-2024): Joint Transmission and Recommendation, Now with 平安金融 as a Data Scientist
• Jiawei Lin (Master, 2021-2024): Wireless Video Streaming, Now with 金碟 as a LLM Reseascher