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检索条件"机构=Key Laboratory of Computer Network and Information Integration"
3419 条 记 录,以下是451-460 订阅
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Unleashing the Potential of Decentralized Federated Learning in Healthcare: A Comprehensive Survey on Insights and Challenges  9
Unleashing the Potential of Decentralized Federated Learning...
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9th IEEE International Conference on Data Science in Cyberspace, DSC 2024
作者: Cheng, Haibo Liu, Wenjian Qu, Youyang Fu, Kexue Wang, Qinyuan City University of Macau Faculty of Data Science China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China
Federated learning (FL) is a distributed learning method that reduces data transmission and privacy risks. However, the existence of a central server may become a target of attackers, resulting in an increased risk of... 详细信息
来源: 评论
Optimization Research of Er-doped Magneto-refractive Photonic Crystal Fiber Based on Surface Plasmon Resonance
Optimization Research of Er-doped Magneto-refractive Photoni...
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2022 International Conference on information Processing in Ocean Science and Technology, ICIPOST 2022
作者: Yao, Siyu Wang, Dongying Yu, Yang Zhang, Zhenrong Guangxi Key Laboratory of Multimedia Communications and Network Technology School of Computer Electronic and Information Guangxi University Nanning530004 China College of Liberal Arts and Sciences National University of Defense Technology Changsha410073 China State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China
In order to meet the demand for large-scale magnetic field testing, this paper proposes a D-shaped magneto-refractive photonic crystal fiber (MRPCF) based on surface plasmon resonance (SPR) by using the erbium-doped m... 详细信息
来源: 评论
Multi-Signal Fusion of Social Diffusion Graph with Bi-Directional Semantic Consistency
Multi-Signal Fusion of Social Diffusion Graph with Bi-Direct...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Huacheng Li Chunhe Xia Tianbo Wang Wanshuang Lin Changnan Jiang Chen Chen Yuan Zhao Key Laboratory of Beijing Network Technology Beihang University Guangxi Collaborative Innovation Center of Multi-Source Information Integration and Intelligent Processing Guangxi Normal University School of Cyber Science and Technology Beihang University Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai
Devising diffusion graph to learn user representations is a crucial step in studying information propagation prediction. However, previous works mainly focused on structural and temporal features. To better incorporat...
来源: 评论
Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning
arXiv
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arXiv 2023年
作者: Ye, Bo Gan, Kai Wei, Tong Zhang, Min-Ling School of Computer Science and Engineering Southeast University Nanjing211189 China Key Lab. of Computer Network and Information Integration Southeast University MoE China
In open-world semi-supervised learning, a machine learning model is tasked with uncovering novel categories from unlabeled data while maintaining performance on seen categories from labeled data. The central challenge... 详细信息
来源: 评论
A Simple Semi-Supervised Joint Learning Framework for Few-shot Text Classification  5
A Simple Semi-Supervised Joint Learning Framework for Few-sh...
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5th International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2022
作者: Lu, Shaoshuai Chen, Long Wang, Wenjing Xu, Cai Zhao, Wei Guan, Ziyu Lu, Guangyue Shaanxi Key Laboratory of Information Communication Network and Security Xi'an University of Posts and Telecommunications China School of Computer Science and Technology Xidian University China
The lack of labeled data is the bottleneck restricting deep text classification algorithm. State-of-the-art for most existing deep text classification methods follow the two-step transfer learning paradigm: pre-traini... 详细信息
来源: 评论
Continuous Verification of Catastrophic Recalling in Machine Unlearning via Adversarial Testing  9
Continuous Verification of Catastrophic Recalling in Machine...
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9th IEEE International Conference on Data Science in Cyberspace, DSC 2024
作者: Qu, Y. Neil Ji, Zonghao Cui, Lei Zhang, Chong Liu, Lei Tian, Zhiyi Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan250031 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan250031 China Deakin University School of IT VIC3125 Australia Xidian University Guangzhou Institute of Technology Guangzhou510555 China University of Technology School of Computer Science SydneyNSW2007 Australia
Throughout the process of machine unlearning, in order to fulfill the requirements of machine unlearning and to comply with the rules of the right to be forgotten, it is natural to verify whether the unlearning model ... 详细信息
来源: 评论
Security analysis against the Trojan horse attack on practical polarization-encoding quantum key distribution systems
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Physical Review A 2024年 第4期109卷 042608-042608页
作者: Tingting Luo Qiang Liu Xiaoran Sun Chunfeng Huang Ye Chen Zhenrong Zhang Kejin Wei Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and Technology Guangxi University Nanning 530004 China Guangxi Key Laboratory of Multimedia Communications and Network Technology School of Computer Electronics and Information Guangxi University Nanning 530004 China
Quantum key distribution (QKD), which theoretically provides unconditional secure communication, has developed rapidly in the past decades. However, the practical QKD systems still have vulnerabilities due to device i... 详细信息
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Exploiting Conjugate Label information for Multi-Instance Partial-Label Learning
arXiv
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arXiv 2024年
作者: Tang, Wei Zhang, Weijia Zhang, Min-Ling School of Computer Science and Engineering Southeast University Nanjing210096 China Key Lab. of Computer Network and Information Integration Southeast University MoE China School of Information and Physical Sciences The University of Newcastle NSW2308 Australia
Multi-instance partial-label learning (MIPL) addresses scenarios where each training sample is represented as a multi-instance bag associated with a candidate label set containing one true label and several false posi...
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Practical decoy-state quantum secure direct communication
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Science China(Physics,Mechanics & Astronomy) 2021年 第12期64卷 68-75页
作者: Xin Liu Zijian Li Di Luo Chunfeng Huang Di Ma Minming Geng Junwei Wang Zhenrong Zhang Kejin Wei Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and TechnologyGuangxi UniversityNanning 530004China Guangxi Key Laboratory of Multimedia Communications and Network Technology School of ComputerElectronicsand InformationGuangxi UniversityNanning 530004China CAS Quantum Network Co. LtdShanghai 201315China
Quantum secure direct communication(QSDC) has been demonstrated in both fiber-based and free-space channels using attenuated lasers. Decoy-state QSDC by exploiting four decoy states has been proposed to address the pr... 详细信息
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Research on liquid crystal display technology based on regional dynamic dimming algorithm  9
Research on liquid crystal display technology based on regio...
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9th IEEE International Conference on Data Science in Cyberspace, DSC 2024
作者: Yu, Zhitao Sun, Peng Zhou, Mingle Liu, Qianlong Zhao, Shilong Hisense Video Technology Co. Ltd. Qing Dao China Hisense Visual Technology Co. Ltd. Qing Dao China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China
In vehicle liquid crystal display (LCD) technology has attracted much attention for its wide range of applications in automotive infotainment systems. However, conventional LCD technologies have limitations in terms o... 详细信息
来源: 评论