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检索条件"机构=Key Lab of Network Data Science and Technology"
2794 条 记 录,以下是151-160 订阅
排序:
Generative Retrieval for Book Search
arXiv
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arXiv 2025年
作者: Tang, Yubao Zhang, Ruqing Guo, Jiafeng de Rijke, Maarten Liu, Shihao Wang, Shuaiqiang Yin, Dawei Cheng, Xueqi CAS Key Lab of Network Data Science and Technology ICT CAS University of Chinese Academy of Sciences University of Amsterdam Amsterdam Netherlands University of Amsterdam Amsterdam Netherlands CAS Key Lab of Network Data Science and Technology ICT CAS University of Chinese Academy of Sciences Beijing China Baidu Inc Beijing China
In book search, relevant book information should be returned in response to a query. Books contain complex, multi-faceted information such as metadata, outlines, and main text, where the outline provides hierarchical ... 详细信息
来源: 评论
E2E-MFERC:AMulti-Face Expression Recognition Model for Group Emotion Assessment
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Computers, Materials & Continua 2024年 第4期79卷 1105-1135页
作者: Lin Wang Juan Zhao Hu Song Xiaolong Xu Jiangsu Key Laboratory of Big Data Security&Intelligent Processing Nanjing University of Posts and TelecommunicationsNanjing210042China School of Network Security Jinling Institute of TechnologyNanjing211169China State Grid Jiangsu Electric Power Company Limited Nanjing210000China School of Computer Science Nanjing University of Posts and TelecommunicationsNanjing210042China
In smart classrooms, conducting multi-face expression recognition based on existing hardware devices to assessstudents’ group emotions can provide educators with more comprehensive and intuitive classroom effect anal... 详细信息
来源: 评论
Temporal Knowledge Graph Question Answering: A Survey
arXiv
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arXiv 2024年
作者: Su, Miao Li, Zixuan Chen, Zhuo Bai, Long Jin, Xiaolong Guo, Jiafeng CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China
Knowledge Base Question Answering (KBQA) has been a long-standing field to answer questions based on knowledge bases. Recently, the evolving dynamics of knowledge have attracted a growing interest in Temporal Knowledg... 详细信息
来源: 评论
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction
arXiv
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arXiv 2024年
作者: Li, Zixuan Zeng, Yutao Zuo, Yuxin Ren, Weicheng Liu, Wenxuan Su, Miao Guo, Yucan Liu, Yantao Li, Xiang Hu, Zhilei Bai, Long Li, Wei Liu, Yidan Yang, Pan Jin, Xiaolong Guo, Jiafeng Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China
In this paper, we propose KnowCoder, a Large Language Model (LLM) to conduct Universal Information Extraction (UIE) via code generation. KnowCoder aims to develop a kind of unified schema representation that LLMs can ... 详细信息
来源: 评论
Temporal Global Re-detection Based on Interaction-Fusion Attention in Long-Term Visual Tracking  12th
Temporal Global Re-detection Based on Interaction-Fusion At...
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12th International Conference on Image and Graphics, ICIG 2023
作者: Ma, Jingyuan Hou, Zhiqiang Han, Ruoxue Ma, Sugang School of Computer Science and Technology Xi’an University of Posts and Telecommunications Xi’an710121 China Key Laboratory of Network Data Analysis and Intelligent Processing of Shaanxi Province Xi’an710121 China
In long-term visual tracking, target occlusion and out-of-view are common problems that lead to target drift, adding re-detection to short-term tracking algorithms is a general solution. To better handle the problem o... 详细信息
来源: 评论
A Novel Multi-Edge Cooperative Offloading Genetic Algorithm towards Environmental Monitoring System  5
A Novel Multi-Edge Cooperative Offloading Genetic Algorithm ...
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5th International Conference on Telecommunications and Communication Engineering, ICTCE 2022
作者: Fang, Jie Li, Wenzao Wang, Yue Sun, Xiulan College of Communication Engineering Chengdu University of Information Technology China Network and Data Security Key Lab of Sichuan Pro. University of Electronic Science and Technology of China China Institute of Data Application Research Educational Informalization and Big Data Center China
In environmental monitor architecture, the usual way of processing data is centralized. On the one hand, this leads to a long time of data processing, and with the increasing number of monitoring sensors, the pressure... 详细信息
来源: 评论
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
DarkSAM: Fooling Segment Anything Model to Segment Nothing  38
DarkSAM: Fooling Segment Anything Model to Segment Nothing
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Zhou, Ziqi Song, Yufei Li, Minghui Hu, Shengshan Wang, Xianlong Zhang, Leo Yu Yao, Dezhong Jin, Hai National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab China Cluster and Grid Computing Lab China Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China School of Computer Science and Technology Huazhong University of Science and Technology China School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Software Engineering Huazhong University of Science and Technology China School of Information and Communication Technology Griffith University Australia
Segment Anything Model (SAM) has recently gained much attention for its outstanding generalization to unseen data and tasks. Despite its promising prospect, the vulnerabilities of SAM, especially to universal adversar...
来源: 评论
Augmentation-Aware Self-Supervision for data-Efficient GAN Training  37
Augmentation-Aware Self-Supervision for Data-Efficient GAN T...
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37th Conference on Neural Information Processing Systems, NeurIPS 2023
作者: Hou, Liang Cao, Qi Yuan, Yige Zhao, Songtao Ma, Chongyang Pan, Siyuan Wan, Pengfei Wang, Zhongyuan Shen, Huawei Cheng, Xueqi CAS Key Laboratory of AI Safety and Security Institute of Computing Technology Chinese Academy of Sciences China CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China Kuaishou Technology China
Training generative adversarial networks (GANs) with limited data is challenging because the discriminator is prone to overfitting. Previously proposed differentiable augmentation demonstrates improved data efficiency... 详细信息
来源: 评论
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
arXiv
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arXiv 2024年
作者: Chen, Lu Zhang, Ruqing Guo, Jiafeng Fan, Yixing Cheng, Xueqi CAS Key Lab of Network Data Science and Technology ICT CAS Beijing China University of Chinese Academy of Sciences Beijing China
Retrieval-augmented generation (RAG) has emerged as a popular solution to mitigate the hallucination issues of large language models. However, existing studies on RAG seldom address the issue of predictive uncertainty... 详细信息
来源: 评论