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检索条件"机构=Key Lab of Cloud Computing and Intelligent Technology"
1186 条 记 录,以下是1-10 订阅
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Service decoupling for open and intelligent service-based RAN
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Frontiers of Information technology & Electronic Engineering 2025年 第2期26卷 230-245页
作者: Chunjing YUAN Tong LEI Ze XUE Lin TIAN Shuyuan ZHANG Na LI Zhou TONG Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China Hubei Intelligent Cloud Network Operation Center China TelecomWuhan 430024China Nanjing Institute of InforSuperBahn Nanjing 210008China Future Research Lab China Mobile Research InstituteBeijing 100053China
Task diversity is one of the biggest challenges for future sixth-generation(6G)*** the task as the center and driving the dynamic 6G radio access network(RAN)with artificial intelligence(AI)are necessary to accurately... 详细信息
来源: 评论
Task Prioritization in Multiagent Environments: A Novel Approach Using Nash Q-Learning
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IEEE Transactions on Consumer Electronics 2025年
作者: Li, Kexin Hu, Yu Wang, Jielei Li, Lin Zhang, Shuyuan Luo, Guangchun Laboratory of Intelligent Collaborative Computing University of Electronic Science and Technology of China China Trusted Cloud Computing and Big Data Key Laboratory of Sichuan Province Chengdu611731 China College of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China
—With the rapid proliferation of smartphones and various terminal devices, edge computing has gained increasing importance in overcoming computational limitations and enhancing service quality through task offloading... 详细信息
来源: 评论
Domain-aware Node Representation Learning for Graph Out-of-Distribution Generalization
Domain-aware Node Representation Learning for Graph Out-of-D...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Yi Qiao Yang Liu Qing He Xiang Ao Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China University of Chinese Academy of Sciencs Beijing China Institute of Intelligent Computing Technology Suzhou CAS
Graph Neural Networks (GNNs) have demonstrated impressive success across diverse fields when data satisfies in-distribution (ID) assumption. Nevertheless, GNN performance significantly declines in cases of distributio... 详细信息
来源: 评论
A survey on deep learning for polyp segmentation: techniques, challenges and future trends
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Visual Intelligence 2025年 第1期3卷 1-20页
作者: Mei, Jiaxin Zhou, Tao Huang, Kaiwen Zhang, Yizhe Zhou, Yi Wu, Ye Fu, Huazhu PCA Lab Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Nanjing China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China School of Computer Science and Engineering Southeast University Nanjing China Institute of High Performance Computing A*STAR Singapore Singapore
Early detection and assessment of polyps play a crucial role in the prevention and treatment of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist clinicians in accurately locating an... 详细信息
来源: 评论
GoPIM: GCN-Oriented Pipeline Optimization for PIM Accelerators  31
GoPIM: GCN-Oriented Pipeline Optimization for PIM Accelerato...
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31st IEEE International Symposium on High Performance Computer Architecture, HPCA 2025
作者: Yang, Siling He, Shuibing Wang, Wenjiong Yin, Yanlong Wu, Tong Chen, Weijian Zhang, Xuechen Sun, Xian-He Feng, Dan The State Key Laboratory of Blockchain and Data Security Zhejiang University China Zhejiang Lab China Institute of Blockchain and Data Security China Zhejiang Key Laboratory of Big Data Intelligent Computing China Washington State University Vancouver United States Illinois Institute of Technology United States Huazhong University of Science and Technology China Wuhan National Laboratory for Optoelectronics China
Graph convolutional networks (GCNs) are popular for a variety of graph learning tasks. ReRAM-based processing-in-memory (PIM) accelerators are promising to expedite GCN training owing to their in-situ computing capabi... 详细信息
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Visual Prompt Flexible-Modal Face Anti-Spoofing
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IEEE Transactions on Dependable and Secure computing 2025年 第3期22卷 2597-2606页
作者: Yu, Zitong Cai, Rizhao Cui, Yawen Liu, Ajian Chen, Changsheng Great Bay University School of Computing and Information Technology Dongguan523000 China Nanyang Technological University ROSE Lab School of EEE 639798 Singapore Hong Kong Polytechnic University Kowloon Hong Kong Chinese Academy of Sciences University of Chinese Academy of Sciences National Laboratory of Pattern Recognition Institute of Automation Beijing100190 China Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing Shenzhen Key Laboratory of Media Security College of Electronics and Information Engineering Shenzhen518060 China
Recently, vision transformer based multimodal learning methods have been proposed to improve the robustness of face anti-spoofing (FAS) systems. However, multimodal face data collected from the real world is often imp... 详细信息
来源: 评论
A Flexible Knowledge Graph Error Detection Framework Combined with Semantic Information  12th
A Flexible Knowledge Graph Error Detection Framework Combine...
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12th CCF Conference on BigData, BigData 2024
作者: Zhao, Yangwu Liu, Yang Ao, Xiang He, Qing Henan Institute of Advanced Technology Zhengzhou University Zhengzhou China Beijing China Key Lab of Intelligent Information Processing Institute of Computing Technology CAS Beijing China
Knowledge graphs (KGs) are extensively utilized in numerous applications, including question-answering systems and recommender systems. However, knowledge graphs are often constructed through web crawling or crowdsour... 详细信息
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New Offloading Method of computing Task Based on Gray Wolf Hunting Optimization Mechanism for the IOV
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IEEE Transactions on Network and Service Management 2025年
作者: Zhang, Jie Zhang, De-Gan Qiao, Meng Hong-Lin, E. Zhang, Ting Zhang, Ping University of Macau Key Lab of Internet of Things for Smart City Faculty of Science and Technology 999078 China Tianjin University of Technology Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin300384 China Tianjin University of Sport School of Sports Economics and Management Tianjin301617 China
Task offloading, as an effective solution, provides low latency and sufficient computing resources for mobile users in the network. However, how to reasonably offload to reduce system overhead is a challenging issue t... 详细信息
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Bridge Frame and Event: Common Spatiotemporal Fusion for High-Dynamic Scene Optical Flow
arXiv
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arXiv 2025年
作者: Zhou, Hanyu Wang, Haonan Liu, Haoyue Duan, Yuxing Chang, Yi Yan, Luxin National Key Lab of Multispectral Information Intelligent Processing Technology School of Artificial Intelligence and Automation Huazhong University of Science and Technology China School of Computing National University of Singapore Singapore
High-dynamic scene optical flow is a challenging task, which suffers spatial blur and temporal discontinuous motion due to large displacement in frame imaging, thus deteriorating the spatiotemporal feature of optical ... 详细信息
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Deep Time Series Anomaly Detection with Local Temporal Pattern Learning
Deep Time Series Anomaly Detection with Local Temporal Patte...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Yizhou Li Yijie Wang Hongzuo Xu Xiaohui Zhou National Key Laboratory of Parallel and Distributed Computing College of Computer Science and Technology National University of Defense Technology Changsha China Intelligent Game and Decision Lab (IGDL) Beijing China
Self-supervised time series anomaly detection (TSAD) demonstrates remarkable performance improvement by extracting high-level data semantics through proxy tasks. Nonetheless, most existing self-supervised TSAD techniq... 详细信息
来源: 评论