簡 歷:
主要論著:
【論文】
[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)
【國際標準】
[1] Requirements of Civilian Unmanned Aerial Vehicles Enabled Mobile Edge Computing (ITU-T F.749.11),?ITU國際標準,?2019.
[2] Requirements for Mobile Edge Computing Enabled Content Delivery Networks (ITU-T F.743.10), ITU國際標準,?2019.
[3] Framework for Communication Application of Civilian Unmanned Aerial Vehicle (ITU-T F.749.12), ITU國際標準,?2020.
[4] Requirements of Coordination for Civilian Unmanned Aerial Vehicles ( ITU-T F.749.14 ), ITU國際標準,?2021.
[5] Requirements for Communication Resource Management in Intelligent Visual Surveillance Systems (ITU-T F.743.16), ITU國際標準,?2022.
科研項目:
[1]國家自然科學基金重點項目“面向無人系統(tǒng)的網絡協(xié)同理論與技術”
[2]國家自然科學基金重點項目“移動網絡用戶智能主動服務理論與關鍵技術研究”
[3]國家自然科學基金面上項目”無人機集群高效魯棒的聯(lián)邦學習技術研究”
[4]國家自然科學基金面上項目“邊緣智能中的端邊設備協(xié)同計算方法研究”
[5]國家自然科學基金面上項目“基于無速率編碼的無線并發(fā)傳輸調度機制研究”
[6]國家自然科學基金面上項目“面向頻率捷變無線Mesh網的頻譜分配算法研究”
劉敏 研究員
研究方向:
所屬部門:網絡技術研究中心、處理器芯片重點實驗室
導師類別:博導計算機系統(tǒng)結構
聯(lián)系方式:liumin@ict.ac.cn
個人網頁: