中国科学院计算技术研究所机构知识库

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	AptEVS: Adaptive Edge-and-Vehicle Scheduling for Hierarchical Federated Learning over Vehicular Networks 期刊论文 ELECTRONICS, 2026, 卷号: 15, 期号: 2, 页码: 28 作者:  Tian, Yu;  Wang, Nina;  Zhang, Zongshuai;  Zou, Wenhao;  Zhao, Liangjie;  Liu, Shiyao;  Tian, Lin 收藏  |  浏览/下载：2/0  |  提交时间：2026/05/25 hierarchical federated learning  deep reinforcement learning  edge-and-vehicle scheduling  vehicular networks
	Sensing-Error-Aware UAV Scheduling Based on Generative Diffusion-Driven MADRL for ISAC-Enabled Multi-UAV Systems 期刊论文 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2026, 卷号: 25, 页码: 9782-9798 作者:  Wu, Yihao;  Yu, Hanxiao;  Zhou, Yiqing;  Shi, Ningzhe;  Cai, Qing;  Shi, Jinglin 收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25 Sensors  Autonomous aerial vehicles  Optimization  Resource management  Integrated sensing and communication  Wireless communication  Heuristic algorithms  Trajectory  Diffusion models  Wireless sensor networks  Generative diffusion model  integrated sensing and communication  sensing error  multi-agent reinforcement learning  uncrewed aerial vehicle
	Efficient Medical Image Segmentation via Reinforcement Learning-Driven K-Space Sampling 期刊论文 IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2025, 页码: 14 作者:  Li, Yuqi;  Zeng, Hansheng;  Zhang, Fuyan;  Yang, Chuanguang;  Li, Yanli;  Ding, Weiping 收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25 Magnetic resonance imaging  Image reconstruction  Image segmentation  Accuracy  Reinforcement learning  Pathology  Medical diagnostic imaging  Adaptation models  Measurement  Computational intelligence  k-space sampling  magnetic resonance imaging  reinforcement learning
	Learning to schedule dynamic job-shop problems by graph attention network with reinforcement learning 期刊论文 APPLIED INTELLIGENCE, 2025, 卷号: 55, 期号: 16, 页码: 16 作者:  Huang, Chao;  Hu, Haibo;  Zhou, Yan 收藏  |  浏览/下载：27/0  |  提交时间：2025/12/03 Job shop scheduling  Reinforcement learning  Graph attention network
	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：28/0  |  提交时间：2025/12/03 Edge computing  Joint sensing and computing  Multi-agent deep reinforcement learning  Unmanned aerial vehicle  Video surveillance
	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：26/0  |  提交时间：2025/12/03 autonomous connectivity  multi-agent reinforcement learning  multi-UAV collaboration  path planning  target search
	A Value Iteration Algorithm for Stochastic Linear Quadratic Regulator 期刊论文 JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2025, 卷号: 207, 期号: 2, 页码: 14 作者:  Wang, Hongxia;  Liu, Yihang;  Liu, Xiangqian 收藏  |  浏览/下载：20/0  |  提交时间：2025/12/03 Stochastic linear quadratic regulation  Reinforcement learning  Value iteration  Policy iteration
	Query-Aware Semantic Encoder-Based Resource Allocation in Task-Oriented Communications 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2025, 卷号: 24, 期号: 7, 页码: 6413-6429 作者:  Cai, Qing;  Zhou, Yiqing;  Liu, Ling;  Yu, Hanxiao;  Wu, Yihao;  Shi, Ningzhe;  Shi, Jinglin 收藏  |  浏览/下载：25/0  |  提交时间：2025/12/03 Semantics  Receivers  Generators  Feature extraction  Costs  Transmitters  Decoding  Data mining  Bandwidth  Vectors  Semantic encoder  Task-oriented communications  Relevance-based data selection and bandwidth allocation  Deep reinforcement learning
	OFDM-Based NOMA-Enhanced Coexistence of SemCom and BitCom System 期刊论文 IEEE WIRELESS COMMUNICATIONS LETTERS, 2025, 卷号: 14, 期号: 7, 页码: 2069-2073 作者:  Yu, Hanxiao;  Shi, Ningzhe;  Shi, Jinglin;  Guo, Jing;  Wang, Siqiang;  Fei, Zesong 收藏  |  浏览/下载：23/0  |  提交时间：2025/12/03 Antennas  Semantics  Fluids  Resource management  NOMA  Optimization  Heuristic algorithms  Fading channels  Uplink  Spectral efficiency  Semantic communication  non-orthogonal multiple access (NOMA)  fluid antenna  deep reinforcement learning (DRL)
	Safety in DRL-Based Congestion Control: A Framework Empowered by Expert Refinement 期刊论文 IEEE TRANSACTIONS ON NETWORKING, 2025, 页码: 16 作者:  Zhou, Jianer;  Pan, Zhiyuan;  Li, Zhenyu;  Tyson, Gareth;  Li, Weichao;  Qiu, Xinyi;  Pan, Heng;  Zhang, Xinyi;  Xie, Gaogang 收藏  |  浏览/下载：20/0  |  提交时间：2025/12/03 Convergence  Space exploration  Safety  Training  Prediction algorithms  Magnetosphere  Ion radiation effects  Adaptation models  Throughput  Technological innovation  Congestion control  machine learning  deep reinforcement learning  QUIC