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
	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：4/0  |  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：4/0  |  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：4/0  |  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
	ReflexPilot: Startup-Aware Dependent Task Scheduling Based on Deep Reinforcement Learning for Edge-Cloud Collaborative Computing 期刊论文 IEEE TRANSACTIONS ON CLOUD COMPUTING, 2025, 卷号: 13, 期号: 2, 页码: 641-654 作者:  Zou, Wenhao;  Zhang, Zongshuai;  Wang, Nina;  Tian, Yu;  Tian, Lin 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Servers  Optimal scheduling  Collaboration  Cloud computing  Scheduling algorithms  Containers  Computer architecture  Computational modeling  Resource management  Training  Edge-cloud collaborative computing  deep reinforcement learning  dependent task scheduling  startup latency
	Reinforcement Learning Based Online Request Scheduling Framework for Workload-Adaptive Edge Deep Learning Inference 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 12, 页码: 13222-13239 作者:  Tan, Xinrui;  Li, Hongjia;  Xie, Xiaofei;  Guo, Lu;  Ansari, Nirwan;  Huang, Xueqing;  Wang, Liming;  Xu, Zhen;  Liu, Yang 收藏  |  浏览/下载：17/0  |  提交时间：2025/06/25 Deep learning  Computational modeling  Adaptation models  Task analysis  Processor scheduling  Schedules  Reinforcement learning  Deep learning inference serving systems  edge computing  efficient deep learning inference  reinforcement learning
	Deep Distributional Reinforcement Learning-Based Adaptive Routing With Guaranteed Delay Bounds 期刊论文 IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 页码: 15 作者:  Liu, Jianmin;  Li, Dan;  Xu, Yongjun 收藏  |  浏览/下载：64/0  |  提交时间：2024/12/06 Deep distributional reinforcement learning  real-time QoS guarantees  adaptive routing  wireless multi-hop networks  Deep distributional reinforcement learning  real-time QoS guarantees  adaptive routing  wireless multi-hop networks
	Scheduling of Real-Time Wireless Flows: A Comparative Study of Centralized and Decentralized Reinforcement Learning Approaches 期刊论文 IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 页码: 16 作者:  Wang, Qi;  Huang, Jianhui;  Xu, Yongjun 收藏  |  浏览/下载：29/0  |  提交时间：2024/12/06 Scheduling  timely-throughput  deep reinforcement learning  real-time wireless networks  distributed system
	UAV-Enabled Federated Learning in Dynamic Environments: Efficiency and Security Trade-Off 期刊论文 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 卷号: 73, 期号: 5, 页码: 6993-7006 作者:  Fan, Xiaokun;  Chen, Yali;  Liu, Min;  Sun, Sheng;  Liu, Zhuotao;  Xu, Ke;  Li, Zhongcheng 收藏  |  浏览/下载：31/0  |  提交时间：2024/12/06 Training  Security  Autonomous aerial vehicles  Energy consumption  Resource management  Data models  Computational modeling  Deep reinforcement learning  federated learning (FL)  physical layer security  resource allocation  unmanned aerial vehicle (UAV)
	UAV Trajectory Optimization for Large-Scale and Low-Power Data Collection: An Attention-Reinforced Learning Scheme 期刊论文 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 卷号: 23, 期号: 4, 页码: 3009-3024 作者:  Zhu, Yuchen;  Yang, Bo;  Liu, Min;  Li, Zhongcheng 收藏  |  浏览/下载：37/0  |  提交时间：2024/12/06 Autonomous aerial vehicles  Sensors  Data collection  Energy consumption  Wireless communication  Optimization  Data models  Unmanned aerial vehicle  trajectory optimization  data collection  attention model  deep reinforcement learning  LoRa