无人系统网络协同、联邦学习
中国科学院计算技术研究所研究员、博士生导师,中国通信标准化协会理事,ACM中国常务理事,北京市科技新星。先后承担国家自然科学基金重点项目及面上项目、国家重点研发课题、工信部宽带无线重大专项、国家发改委中国下一代互联网(CNGI)项目10余项,在IEEE Transactions on Mobile Computing、IEEE Transactions on Parallel and Distributed Systems、IEEE Journal on Selected Areas in Communications、INFOCOM、IJCAI等国内外重要学术期刊和国际会议上发表论文80余篇,制定ITU国际标准4项、中国通信行业标准7项,获得专利授权33项(含标准核心专利8项),专利受理46项,软件登记16项。
【论文】
[1] Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Zhuotao Liu, Jingyuan Wang,Learnable Sparse Customization in Heterogeneous Edge Computing, ICDE 2025. (CCF A)
[2] Qingxiang Liu, Sheng Sun, Yuxuan Liang, Min Liu, Jingjing Xue, Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach, AAAI 2025. (CCF A)
[3] Xujing Li, Sheng Sun, Min Liu, Ju Ren, Xuefeng Jiang, Tianliu He, FedCRAC: Improving Federated Classification Performance on Long-tailed Data via Classifier Representation Adjustment and Calibration, IEEE Transactions on Mobile Computing (TMC), 2025. (CCF A)
[4] Jingjing Xue, Sheng Sun, Min Liu, Qi Li, Ke Xu, Enhancing Federated Learning Robustness Using Locally Benignity-Assessable Bayesian Dropout, IEEE Transactions on Information Forensics and Security (TIFS), 2025. (CCF A)
[5] Yali Chen, Min Liu, Bo Ai, Yuwei Wang, 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)
[6] Sheng Sun, Zengqi Zhang, Quyang Pan, Min Liu, Yuwei Wang, Tianliu He, Yali Chen, Zhiyuan Wu, Staleness-Controlled Asynchronous Federated Learning: Accuracy and Efficiency Tradeoff, IEEE Transactions on Mobile Computing (TMC), 2024. (CCF A)
[7] Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Quyang Pan, Tianliu He, Xuefeng Jiang, Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration, INFOCOM 2024. (CCF A)
[8] Yuchen Zhu, Min Liu, Yali Chen, Sheng Sun, Zhongcheng Li, SkyOrbs: A Fast 3-D Directional Neighbor Discovery Algorithm for UAV Networks, IEEE Transactions on Mobile Computing (TMC), 2024. (CCF A)
[9] Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Xuefeng Jiang, Bo Gao, FedICT: Federated Multi-task Distillation for Multi-access Edge Computing, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2024. (CCF A)
[10] Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Wen Wang, Xuefeng Jiang, Bo Gao, Jinda Lu, FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence, IEEE Transactions on Mobile Computing (TMC), 2024. (CCF A)
【国际标准】
[1] Requirements of Civilian Unmanned Aerial Vehicles Enabled Mobile Edge Computing (ITU-T F.749.11), ITU国际标准, 2019.
[2] Requirements for Mobile Edge Computing Enabled Content Delivery Networks (ITU-T F.743.10), ITU国际标准, 2019.
[3] Framework for Communication Application of Civilian Unmanned Aerial Vehicle (ITU-T F.749.12), ITU国际标准, 2020.
[4] Requirements of Coordination for Civilian Unmanned Aerial Vehicles ( ITU-T F.749.14 ), ITU国际标准, 2021.
[5] Requirements for Communication Resource Management in Intelligent Visual Surveillance Systems (ITU-T F.743.16), ITU国际标准, 2022.
[1]国家重点研发课题“基于时间敏感网络的跨模态实时可靠通信”
[2]国家自然科学基金重点项目“面向无人系统的网络协同理论与技术”
[3]国家自然科学基金重点项目“移动网络用户智能主动服务理论与关键技术研究”
[4]国家自然科学基金面上项目“边缘智能中的端边设备协同计算方法研究”
[5]国家自然科学基金面上项目“基于无速率编码的无线并发传输调度机制研究”
[6]国家自然科学基金面上项目“面向频率捷变无线Mesh网的频谱分配算法研究”