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检索条件"机构=CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology"
923 条 记 录,以下是341-350 订阅
排序:
Visual Named Entity Linking: A New dataset and A Baseline
arXiv
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arXiv 2022年
作者: Sun, Wenxiang Fan, Yixing Guo, Jiafeng Zhang, Ruqing Cheng, Xueqi CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
Visual Entity Linking (VEL) is a task to link regions of images with their corresponding entities in Knowledge Bases (KBs), which is beneficial for many computer vision tasks such as image retrieval, image caption, an... 详细信息
来源: 评论
Adversarial Immunization for Certifiable Robustness on Graphs
arXiv
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arXiv 2020年
作者: Tao, Shuchang Shen, Huawei Cao, Qi Hou, Liang Cheng, Xueqi CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
Despite achieving strong performance in semi-supervised node classification task, graph neural networks (GNNs) are vulnerable to adversarial attacks, similar to other deep learning models. Existing researches focus on... 详细信息
来源: 评论
A linguistic study on relevance modeling in information retrieval
arXiv
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arXiv 2021年
作者: Fan, Yixing Guo, Jiafeng Ma, Xinyu Zhang, Ruqing Lan, Yanyan Cheng, Xueqi University of Chinese Academy of Sciences Beijing China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China
Relevance plays a central role in information retrieval (IR), which has received extensive studies starting from the 20th century. The definition and the modeling of relevance has always been critical challenges in bo... 详细信息
来源: 评论
Locally smoothed neural networks
arXiv
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arXiv 2017年
作者: Pang, Liang Lan, Yanyan Xu, Jun Guo, Jiafeng Cheng, Xueqi CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
Convolutional Neural networks (CNN) and the locally connected layer are limited in capturing the importance and relations of different local receptive fields, which are often crucial for tasks such as face verificatio... 详细信息
来源: 评论
The Impact of Heterogeneous Spreading Abilities of network Ties on Information Spreading
The Impact of Heterogeneous Spreading Abilities of Network T...
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International Conference on Computer and Information technology (CIT)
作者: Chengeng Ou Xiaolong Jin Yuanzhuo Wang Wei Chen Xueqi Cheng University of Chinese Academy of Sciences Beijing China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China
Understanding the dynamics of information spreading over social networks has been of great interest for a long time. It has been convincingly demonstrated that the topology of a network can significantly affect inform... 详细信息
来源: 评论
FedMatch: Federated learning over heterogeneous question answering data
arXiv
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arXiv 2021年
作者: Chen, Jiangui Zhang, Ruqing Guo, Jiafeng Fan, Yixing Cheng, Xueqi CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
Question Answering (QA), a popular and promising technique for intelligent information access, faces a dilemma about data as most other AI techniques. On one hand, modern QA methods rely on deep learning models which ... 详细信息
来源: 评论
Focus on the Stability of Large Systems: Toward Automatic Prediction and Analysis of Vulnerability Threat Intelligence
Focus on the Stability of Large Systems: Toward Automatic Pr...
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IEEE International Conference on data science in Cyberspace (DSC)
作者: Shiwen Song Qiong Wu Xin Zheng Peng Wang Yuchen Dou Zhongwen Li Lidong Zhai Institute of Information Engineering Chinese Academy of Sciences BeiJing China Bag Data Academy Zhongke Beijing China CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China
With the increase in the number of users and business volume, the business systems of Internet companies are becoming more and more complex, resulting in a surge in the number of alarms. A large number of dirty alarms... 详细信息
来源: 评论
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval
arXiv
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arXiv 2021年
作者: Ma, Xinyu Guo, Jiafeng Zhang, Ruqing Fan, Yixing Li, Yingyan Cheng, Xueqi CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
Pre-training and fine-tuning have achieved remarkable success in many downstream natural language processing (NLP) tasks. Recently, pre-training methods tailored for information retrieval (IR) have also been explored,... 详细信息
来源: 评论
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning
arXiv
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arXiv 2024年
作者: Cui, Wanqing Bi, Keping Guo, Jiafeng Cheng, Xueqi CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
Since commonsense information has been recorded significantly less frequently than its existence, language models pre-trained by text generation have difficulty to learn sufficient commonsense knowledge. Several studi... 详细信息
来源: 评论
Multi-View Graph Embedding Learning for Image Co-Segmentation and Co-Localization
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IEEE Transactions on Circuits and Systems for Video technology 2024年 第6期34卷 4942-4956页
作者: Huang, Aiping Li, Lijian Zhang, Le Niu, Yuzhen Zhao, Tiesong Lin, Chia-Wen Fuzhou University Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information College of Physics and Information Engineering Fuzhou350108 China Fuzhou University Fujian Key Laboratory of Network Computing and Intelligent Information Processing College of Computer and Data Science Fuzhou350108 China University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Fuzhou University Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information College of Physics and Information Engineering The Fujian Science and Technology Innovation Laboratory for Optoelectronic Information Fuzhou350108 China Institute of Communications Engineering National Tsing Hua University Department of Electrical Engineering Hsinchu30013 Taiwan
Image co-segmentation and co-localization exploit inter-image information to identify and extract foreground objects with a batch mode. However, they remain challenging when confronted with large object variations or ... 详细信息
来源: 评论