中国科学院计算技术研究所机构知识库

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	Joint optimization of data sensing and computing in the air-ground collaborative inference framework: A multi-agent hybrid-action DRL approach 期刊论文 COMPUTER NETWORKS, 2025, 卷号: 270, 页码: 13 作者:  Fan, Xiaokun;  Chen, Yali;  Liu, Min;  Zhu, Yuchen;  Li, Zhongcheng 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Edge computing  Joint sensing and computing  Multi-agent deep reinforcement learning  Unmanned aerial vehicle  Video surveillance
	Energy-Efficient Over-the-Air Computation in UAV-Assisted IIoT Networks 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2025, 卷号: 24, 期号: 9, 页码: 8549-8563 作者:  Chen, Yali;  Sun, Sheng;  Liu, Min;  Ai, Bo;  Wang, Yuwei;  Liu, Yunhao 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Sensors  Autonomous aerial vehicles  Industrial Internet of Things  Energy consumption  Optimization  Data aggregation  Wireless sensor networks  Intelligent sensors  Energy efficiency  Wireless communication  Industrial Internet of Things (IIoT)  over-the-air computation (AirComp)  uncrewed aerial vehicle (UAV)
	Multi-UAV Cooperative Target Search Based on Autonomous Connectivity in Uncertain Network Environment 期刊论文 CHINA COMMUNICATIONS, 2025, 卷号: 22, 期号: 8, 页码: 257-280 作者:  Wang, Shan;  Sheng, Sun;  Min, Liu;  Wang, Yuwei;  Chen, Yali;  Liu, Danni;  Lin, Fuhong 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 autonomous connectivity  multi-agent reinforcement learning  multi-UAV collaboration  path planning  target search
	Burst-Sensitive Traffic Forecast via Multi-Property Personalized Fusion in Federated Learning 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2025, 卷号: 24, 期号: 7, 页码: 5598-5614 作者:  Xue, Jingjing;  Sun, Sheng;  Liu, Min;  Wang, Yuwei;  Meng, Xuying;  Wang, Jingyuan;  Zhang, JunBo;  Xu, Ke 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Predictive models  Forecasting  Data models  Market research  Fluctuations  Computational modeling  Training  Telecommunication traffic  Adaptation models  Mathematical models  Network traffic forecast  federated learning (FL)  heterogeneous data  multi-scale representation  personalized fusion
	Enhancing Federated Learning Robustness Using Locally Benignity-Assessable Bayesian Dropout 期刊论文 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2025, 卷号: 20, 页码: 2464-2479 作者:  Xue, Jingjing;  Sun, Sheng;  Liu, Min;  Li, Qi;  Xu, Ke 收藏  |  浏览/下载：38/0  |  提交时间：2025/06/25 Bayes methods  Training  Servers  Data models  Robustness  Distributed databases  Uplink  Convergence  Computational modeling  Recurrent neural networks  Federated learning  Byzantine attack  dropout defense  robust aggregation
	REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 16 作者:  Liu, Qingxiang;  Sun, Sheng;  Liang, Yuxuan;  Xu, Xiaolong;  Liu, Min;  Bilal, Muhammad;  Wang, Yuwei;  Li, Xujing;  Zheng, Yu 收藏  |  浏览/下载：16/0  |  提交时间：2025/06/25 Predictive models  Concept drift  Correlation  Forecasting  Computational modeling  Data models  Optimization  Adaptation models  Urban areas  Training  Traffic flow forecasting  federated learning  concept drift  online learning  graph convolution