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刘敏  研究员  


                                        
研究方向：

                                        
所属部门：网络技术研究中心、处理器芯片重点实验室

                                        
导师类别：博导计算机系统结构

                                        
联系方式：liumin@ict.ac.cn

                                        
个人网页：

                                    

                                

                            


                        

                    

                

            

            

                

                    

                        

                            

                                
简       历：

                                

                                    
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，北京市科技新星。2013年11月至2014年11月，美国德克萨斯大学奥斯汀分校访问学者。先后承担国家自然科学基金重点项目及面上项目、国家973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、IEEE Transactions on Communications、IEEE Transactions on Wireless Communications、INFOCOM、MobiHoc、ICDCS、IJCAI等国内外重要学术期刊和国际会议上发表论文60余篇，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。

                                

                            

                            

                                
主要论著：

                                

                                    
【论文】
[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] Min He, Yali Chen, Min Liu, Xiaokun Fan, Yuchen Zhu, Reliable and Energy-Efficient Communications in Mobile Robotic Networks by Collaborative Beamforming, ACM Transactions on Sensor Networks (TOSN), 2024.
[8] Qingxiang Liu, Sheng Sun, Min Liu, Yuwei Wang, Bo Gao, Online Spatio-Temporal Correlation-based Federated Learning for Traffic Flow Forecasting, IEEE Transactions on Intelligent Transportation Systems (TITS), 2024.
[9] Xiaokun Fan, Yali Chen, Min Liu, Sheng Sun, Zhuotao Liu, Ke Xu, Zhongcheng Li, UAV-Enabled Federated Learning in Dynamic Environments: Efficiency and Security Trade-off, IEEE Transactions on Vehicular Technology (TVT), 2024.
[10] Yuchen Zhu, Bo Yang, Min Liu, Zhongcheng Li, UAV Trajectory Optimization for Large-Scale and Low-Power Data Collection: An Attention-Reinforced Learning Scheme, IEEE Transactions on Wireless Communications (TWC), 2024.
 
【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.


                                

                            

                            

                                
科研项目：

                                

                                    
[1]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”
[2]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”
[3]国家自然科学基金面上项目”无人机集群高效鲁棒的联邦学习技术研究”
[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”


                                

                            

                            

                                
获奖及荣誉：