Yuwei Wang

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  • Address: No.6, Academy of Sciences South Road, Zhongguancun, Haidian District, Beijing, China

  • Email: ywwang [at] ict.ac.cn

Biography

Dr. Yuwei Wang received his Ph.D. in Engineering and is a recipient of the “100 Stars Program” of the Institute of Computing Technology, Chinese Academy of Sciences. He serves as Vice Chair and Associate Rapporteur of ITU-T SG21 Q5, Co-Lead of the Intelligent Computing Working Group under the Artificial Intelligence Sub-committee of the National Information Technology Standardization Committee of China, a committee member of the Multimedia, Internet of Things, and Artificial Intelligence sub-committees of the same national committee, and Vice Chair of CCSA TC1 WG1. He has led and participated in more than 20 national and industry-sponsored projects, including National Key R&D Program projects, National Science and Technology Major Projects, and key projects of the National Natural Science Foundation of China.

He has published more than 40 papers in leading journals and conferences, including IEEE TPDS, IEEE TMC, INFOCOM, AAAI, and ICDE, and has served as a reviewer for major journals and conferences such as IEEE TMC, IEEE TDSC, ECAI, and Computer Networks. He led the development of the first ITU international standard and the first key communication industry standard at the Institute of Computing Technology, Chinese Academy of Sciences, and has led or participated in the formulation of 40 ITU international standards, more than 10 national standards, and more than 20 communication industry standards. He has been granted more than 20 national invention patents and has registered 13 software copyrights. His honors include the Silver Prize in the 2020 ITU AI/ML in 5G Global Challenge, the First Prize of the 2024 CCF Science and Technology Award for Technological Progress, the First Prize of the 2025 CCSA Science and Technology Award, the 2025 E Fund FinTech Teaching Award of the Institute of Computing Technology, Chinese Academy of Sciences, and two CAS awards for innovation standards and intellectual property achievements.

Students under his supervision have also received distinguished honors. Zhiyuan Wu won the 2025 President’s Award of the Chinese Academy of Sciences and the 2023 Special Director’s Award of the Institute of Computing Technology, both as the only master’s student recipient in the respective year. He also received the National Scholarship for Graduate Students in both 2023 and 2024, and was selected for the 2025 Master’s Thesis Incentive Program of the Chinese Institute of Electronics. Quyang Pan won the Silver Medal in the ACM-ICPC Asia Regional Finals in 2022, Third Prize in the 2024 CCF Large Model Security Challenge, Third Place in Beijing in the 2024 National College Computer Systems Capability Competition and the 4th OceanBase Database Innovation Design Competition, and 4th Place in the Beijing-Tianjin-Northeast Regional Competition of the 2024 Huawei Software Elite Challenge.

Research Interests

Openings: I am continuously looking for self-motivated master students and interns to work on edge intelligence. Please send me your CV if interested.

Selected Standards

Led and participated in setting 30+ professional standards, including the first ITU international standard and the first key communication industry standard of the Institute of Computing Technology, Chinese Academy of Sciences. Representative standards are as follows:

  1. Requirements for mobile edge computing enabled content delivery networks.
    ITU-T F.743.10 (Released)

  2. Requirements for civilian unmanned aerial vehicles enabled mobile edge computing.
    ITU-T F.749.11 (Released)

  3. Technical framework for deep neural network model partition and collaborative execution.
    ITU-T F.748.20 (Released)

  4. Requirements of coordination for civilian unmanned aerial vehicles.
    ITU-T F.749.14 (Released)

  5. Requirements and framework of trustworthy federated machine learning based service.
    ITU-T F.748.35 (Released)

  6. Session management for fixed mobile convergence in IMT-2020 networks.
    ITU-T Y.3136 (Released)

  7. Service function chaining in mobile network.
    ITU-T Y.2242 (Released)

  8. Distributed service networking service routing.
    ITU-T Y.2085 (Released)

  9. Architecture and protocols for software-defined camera.
    ITU-T F.735.2 (Released)

  10. Functional architecture of interactive immersive services (IIS) system.
    ITU-T H.430.8 (Released)

  11. Technical framework and requirements for device-edge-cloud collaborative federated machine learning.
    ITU-T F.748.62 (Released)

  12. Requirements and framework for Data Sharing Service Network.
    ITU-T F.743.37 (Released)

  13. Assessment criteria for foundation models: General.
    ITU-T F.748.77 (Released)

  14. Requirements for foundation model training and inference cluster systems.
    ITU-T F.748.78 (Released)

  15. Requirements and framework of AI-based multimedia data generation systems using core cloud and edge cloud.
    ITU-T F.748.79 (Released)

  16. Requirements for communication resource management in intelligent visual surveillance systems.
    ITU-T F.743.16 (Released)

  17. Artificial intelligence — Scheduling and cooperation for computing devices — Part 1: Virtualization and scheduling.
    (Co-principal, Released)

  18. Artificial intelligence — Scheduling and cooperation for computing devices — Part 2: Framework for distributed computing.
    (Co-principal, Released)

  19. Artificial Intelligence — Technical Specifications of Federated Machine Learning.
    (Co-principal, Released)

  20. IPv6 Technical Requirements - Multi-interface Service Flow Switching Management.
    YD/T 2401-2012 (In Chinese, First Drafter, Released)

  21. IPv6 Technical Requirements - Network-based Stream Switching Mobility Management.
    YD/T 2730-2014 (In Chinese, First Drafter, Released)

  22. IPv6 Routing Protocol - IPv6 Multicast Routing Protocol for Low-Power Lossy Networks.
    YD/T 2814-2015 (In Chinese, First Drafter, Released)

  23. IPv6 Technical Requirements - Multicast for Proxy-based Mobile IPv6.
    YD/T 3049-2016 (In Chinese, First Drafter, Released)

  24. Technical requirements for mobile edge computing based on civilian unmanned aerial vehicles.
    YD/T 4356-2023 (In Chinese, First Drafter, Released)

  25. IPv6 Technical Requirements - Proxy Mobile IPv6 Local Mobility Anchor Allocation Technology.
    YD/T 4456-2023 (In Chinese, First Drafter, Released)

Selected Publications

Recent representative publications are as follows:

  1. Quyang Pan, Sheng Sun, Tingting Wu, Zhiyuan Wu, Yuwei Wang*, Min Liu, Bo Gao, and Jingyuan Wang. Re-architecting Personalized Federated Learning for Demanding Edge Environments. Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF-A)

  2. Gewen Liang, Mufan Xu, Kehai Chen*, Wei Wang, Yuwei Wang*, Muyun Yang, Tiejun Zhao, and Min Zhang. Diagnosing and Remedying Representation Deficiencies for Deterministic Reasoning in KGQA. Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (CCF-A)

  3. Lvhua Wu, Xuefeng Jiang, Sheng Sun, Yan Lei, Tian Wen, Yuwei Wang, and Min Liu. ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction. Findings of the Association for Computational Linguistics (ACL Findings), 2026. (CCF-A)

  4. Wei Sun, Bo Gao, Ke Xiong, Yuwei Wang, Pingyi Fan, and Khaled B. Letaief. A Model Consistency-Based Countermeasure to GAN-Based Data Poisoning Attack in Federated Learning. IEEE Transactions on Mobile Computing (TMC), 2026. (CCF-A)

  5. Zhiyuan Wu, Sheng Sun, Yuwei Wang*, Min Liu, Bo Gao, Jinda Lu, Tingting Wu*, Zheming Yang, and Tian Wen. Recursive Offloading for LLM Serving in Multi-tier Networks. IEEE Transactions on Mobile Computing (TMC), 2025. (CCF-A)

  6. Xuefeng Jiang, Tian Wen, Sheng Sun, Jinliang Yuan, Huashuo Liu, Peng Li, Lvhua Wu, Yuwei Wang, and Min Liu. Representation Optimal Transport for Federated Learning with Noisy Labels in Remote Sensing. IEEE Transactions on Mobile Computing (TMC), 2025. (CCF-A)

  7. Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Zhuotao Liu, and Jingyuan Wang. Learnable Sparse Customization for Heterogeneous Federated Learning. IEEE International Conference on Data Engineering (ICDE), 2025. (CCF-A)

  8. Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Xuying Meng, Jingyuan Wang, Junbo Zhang, and Ke Xu. Burst-Sensitive Traffic Forecast via Multi-Property Personalized Fusion in Federated Learning. IEEE Transactions on Mobile Computing (TMC), 2025. (CCF-A)

  9. Yali Chen, Sheng Sun, Min Liu, Bo Ai, Yuwei Wang, and Yunhao Liu. Energy-Efficient Over-the-Air Computation in UAV-Assisted IoT Networks. IEEE Transactions on Mobile Computing (TMC), 2025. (CCF-A)

  10. Zhiyuan Wu, Sheng Sun, Yuwei Wang*, Min Liu, Ke Xu, Wen Wang, Xuefeng Jiang, Bo Gao, and Jinda Lu. FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence. IEEE Transactions on Mobile Computing (TMC), 2024. (CCF-A)

  11. Zhiyuan Wu, Sheng Sun, Yuwei Wang*, Min Liu, Bo Gao, Quyang Pan, Tianliu He, and Xuefeng Jiang. Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration. IEEE International Conference on Computer Communications (INFOCOM), 2024. (CCF-A)

  12. Zhiyuan Wu, Sheng Sun, Yuwei Wang*, Min Liu, Quyang Pan, Xuefeng Jiang, and Bo Gao. FedICT: Federated Multi-task Distillation for Multi-access Edge Computing. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2024. (CCF-A)

  13. Yali Chen, Min Liu, Bo Ai, Yuwei Wang, and Sheng Sun. Adaptive Bitrate Video Caching in UAV-Assisted MEC Networks based on Distributionally Robust Optimization. IEEE Transactions on Mobile Computing (TMC), 2024. (CCF-A)

  14. Sheng Sun, Zengqi Zhang, Quyang Pan, Min Liu, Yuwei Wang, Tianliu He, Yali Chen, and Zhiyuan Wu. Staleness-Controlled Asynchronous Federated Learning: Accuracy and Efficiency Tradeoff. IEEE Transactions on Mobile Computing (TMC), 2024. (CCF-A)

  15. Yu Yan, Sheng Sun, Zhe Wang, Mingfeng Li, Yuwei Wang, and Min Liu. Image-Inspired Scanning and Retrieval for Fast Vulnerability Detection in Long Smart Contracts. IEEE International Conference on Multimedia & Expo (ICME), 2026. (CCF-B)

  16. Qingxiang Liu, Sheng Sun, Yuxuan Liang, Xiaolong Xu, Min Liu, Muhammad Bilal, Yuwei Wang, Xujing Li, and Yu Zeng. REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting. IEEE Transactions on Intelligent Transportation Systems (TITS), 2025. (CCF-B)

  17. Zhiyuan Wu, Tianliu He, Sheng Sun, Yuwei Wang*, Min Liu, and Xuefeng Jiang. Federated Class-Incremental Learning with New-Class Augmented Self-Distillation. Journal of Computer Science and Technology (JCST), 2025. (CCF-B)

  18. Zhiyuan Wu, Sheng Sun, Yuwei Wang*, Min Liu, Junbo Zhang, Zeju Li, and Qingxiang Liu. Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. ACM Transactions on Intelligent Systems and Technology (TIST), 2024. (CAA-A)

  19. Qingxiang Liu, Sheng Sun, Min Liu, Yuwei Wang, and Bo Gao. Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting. IEEE Transactions on Intelligent Transportation Systems (TITS), 2024. (CCF-B)

  20. Xuefeng Jiang, Sheng Sun, Jia Li, Jingjing Xue, Runhan Li, Zhiyuan Wu, Gang Xu, Yuwei Wang, and Min Liu. Tackling Noisy Clients in Federated Learning with End-to-end Label Correction. Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM), 2024. (CCF-B)

  21. Tian Wen, Hanqing Zhang, Han Zhang, Huixin Wu, Danxin Wang, Xiuwen Liu, Weishan Zhang, Yuwei Wang, and Shaohua Cao. RTIFed: A Reputation-Based Triple-Step Incentive Mechanism for Energy-aware Federated Learning over Battery-constricted Devices. Computer Networks (CN), 2024. (CCF-B)

  22. Jingjing Xue, Min Liu, Sheng Sun, and Yuwei Wang. FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout. International Parallel & Distributed Processing Symposium (IPDPS), 2023. (CCF-B)

  23. Xujing Li, Min Liu, Sheng Sun, Yuwei Wang, Hui Jiang, and Xuefeng Jiang. FedTrip: A Resource Efficient Federated Learning Method with Triplet Regularization. International Parallel & Distributed Processing Symposium (IPDPS), 2023. (CCF-B)

  24. Huan Yang, Sheng Sun, Min Liu, Qiuping Zhang, and Yuwei Wang. MJOA-MU: End-to-edge Collaborative Computation for DNN Inference Based on Model Uploading. Computer Networks (CN), 2023. (CCF-B)

  25. Wei Sun, Bo Gao, Ke Xiong, Yang Lu, and Yuwei Wang. VagueGAN: A GAN-Based Data Poisoning Attack Against Federated Learning Systems. IEEE International Conference on Sensing, Communication, and Networking (SECON), 2023. (CCF-B)

  26. Xuefeng Jiang, Sheng Sun, Yuwei Wang, and Min Liu. Towards Federated Learning Against Noisy Labels via Local Self-regularization. Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM), 2022. (CCF-B)

  27. Hui Jiang, Min Liu, Sheng Sun, Yuwei Wang, and Xiaobing Guo. Fedsyl: Computation-efficient Federated Synergy Learning on Heterogeneous IoT Devices. IEEE/ACM 30th International Symposium on Quality of Service (IWQoS), 2022. (CCF-B)

  28. Bo Gao, Lingyun Lu, Ke Xiong, Jung-Min “Jerry” Park, Yaling Yang, and Yuwei Wang. Spectrum Sharing among Rapidly Deployable Small Cells: A Hybrid Multi-Agent Approach. IEEE Transactions on Wireless Communications, 2020. (CCF-B)

Selected Patents

Awarded 20+ patents, including 7 invention patents for core technologies of national communication professional standards. Representative patents are as follows:

  1. A service flow management method for SIP applications.
    (In Chinese, No. ZL200810225032.6)

  2. Group creation and membership addition methods in distributed domain management system.
    (In Chinese, No. ZL200810225032.6)

  3. Adaptive service flow switching method and corresponding server for communication network system.
    (In Chinese, No. ZL201110004942.3)

  4. A terminal-based link packet loss rate control method and system.
    (In Chinese, No. ZL200810117588.3)

  5. A wireless resource allocation method and system based on service satisfaction.
    (In Chinese, No. ZL201210211713.3)

  6. A mobile management method and system based on service flow switching in PMIPv6 domain.
    (In Chinese, No. ZL201310135154.7)

  7. A mobile management method and system for business differentiation optimization.
    (In Chinese, No. ZL201310152729.6)

  8. A collaborative download task scheduling method and system for mobile smart terminals.
    (In Chinese, No. ZL201310377540.7)

  9. A method and system for secure file storage based on environmental authentication.
    (In Chinese, No. ZL201410014426.2)

  10. A content download application incentive method and its system for smart terminals.
    (In Chinese, No. ZL201410016302.8)

  11. An OpenFlow-based channel assignment method and its apparatus.
    (In Chinese, No. ZL201410172146.4)

  12. A PMIPv6-enabled mobile multicast routing optimization method and system.
    (In Chinese, No. ZL201410822187.3)

  13. A resource pool management method for virtual machine vCPU scheduling.
    (In Chinese, No. ZL201510408804.X)

  14. Routing optimization methods for MIPv6-PMIPv6 interaction scenarios.
    (In Chinese, No. ZL201410852700.3)

  15. Peer-to-Peer P2P network node selection method and Peer-to-Peer P2P redirection server.
    (In Chinese, No. ZL201410193290.6)

  16. Routing methods, devices and systems for delay tolerant networks.
    (In Chinese, No. ZL201410675883.6)

  17. Internet cache answering system based on content identification and method thereof.
    (In Chinese, No. ZL201410542248.0)

  18. A low-power multicast routing network and its multicast routing method.
    (In Chinese, No. ZL201410270042.7)

  19. A vCPU scheduling method based on shared I/O virtualization environment.
    (In Chinese, No. ZL201510233215.2)

  20. A service flow transmission control method and system for IP networks.
    (In Chinese, No. ZL200810222165.8)

Awards

  1. CAS Award for Innovation Standards and Intellectual Property Achievements, 2011 and 2012.

  2. ICT Technical 100 Stars, 2013.

  3. Outstanding Employee of the Institute of Computing Technology, 2010, 2012, 2018, and 2023.

  4. Silver Prize, ITU AI/ML in 5G Global Technology Challenge, 2020.

  5. Third Prize, China Communications Standards Association Science and Technology Award, 2023.

  6. Outstanding Category I Contribution from the Chinese Delegation to ITU, 2022–2023.

  7. First Prize, CCF Science and Technology Award for Technological Progress, 2024.

  8. First Prize, China Communications Standards Association Science and Technology Award, 2025.

  9. E Fund FinTech Teaching Award, Institute of Computing Technology, Chinese Academy of Sciences, 2025.