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检索条件"机构=Key Lab of Network Science and Technology"
906 条 记 录,以下是1-10 订阅
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SmartZone: Runtime Support for Secure and Efficient On-Device Inference on ARM TrustZone
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IEEE Transactions on Computers 2025年 第6期74卷 2144-2158页
作者: Jian, Zhaolong Liu, Xu Dong, Qiankun Cheng, Longkai Xie, Xueshuo Li, Tao Nankai University College of Computer Science Tianjin300350 China Tianjin Key Laboratory of Network and Data Science Technology Tianjin300350 China Haihe Lab of ITAI Tianjin300450 China
On-device inference is a burgeoning paradigm that performs model inference locally on end devices, allowing private data to remain local. ARM TrustZone as a widely supported trusted execution environment has been appl... 详细信息
来源: 评论
Nested Event Extraction upon Pivot Element Recognition  30
Nested Event Extraction upon Pivot Element Recognition
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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024
作者: Ren, Weicheng Li, Zixuan Jin, Xiaolong Bai, Long Su, Miao Liu, Yantao Guan, Saiping Guo, Jiafeng Cheng, Xueqi School of Computer Science and Technology University of Chinese Academy of Sciences China Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China
Nested Event Extraction (NEE) aims to extract complex event structures where an event contains other events as its arguments recursively. Nested events involve a kind of Pivot Elements (PEs) that simultaneously act as... 详细信息
来源: 评论
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
Controlling Risk of Retrieval-augmented Generation: A Counte...
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
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
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations  1
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28th China Conference on Information Retrieval, CCIR 2022
作者: Xiao, Yan Fan, Yixing Zhang, Ruqing Guo, Jiafeng CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China
Vocabulary mismatch is a central problem in information retrieval (IR), i.e., the relevant documents may not contain the same (symbolic) terms of the query. Recently, neural representations have shown great success in... 详细信息
来源: 评论
Generative Retrieval Meets Multi-Graded Relevance  38
Generative Retrieval Meets Multi-Graded Relevance
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Tang, Yubao Zhang, Ruqing Guo, Jiafeng de Rijke, Maarten Chen, Wei Cheng, Xueqi CAS Key Lab of Network Data Science and Technology ICT CAS China University of Chinese Academy of Sciences China University of Amsterdam Netherlands
Generative retrieval represents a novel approach to information retrieval. It uses an encoder-decoder architecture to directly produce relevant document identifiers (docids) for queries. While this method offers benef...
来源: 评论
Flexible TiO_(2)-WO_(3−x) hybrid memristorwith enhanced linearity and synaptic plasticity for precise weight tuning in neuromorphic computing
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npj Flexible Electronics 2024年 第1期8卷 180-191页
作者: Jianyong Pan Hao Kan Zhaorui Liu Song Gao Enxiu Wu Yang Li Chunwei Zhang Shandong Provincial Key Laboratory of Network Based Intelligent Computing School of Information Science and EngineeringUniversity of JinanJinanChina State Key Lab of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghaiChina School of Integrated Circuits Shandong UniversityJinanChina
Tungsten oxide(WO_(3))-based memristors show promising applications in neuromorphic ***,single-layer WO_(3) memristors suffer from issues such as weak memory performance and nonlinear conductance *** this work,a funct... 详细信息
来源: 评论
DP-GenFL: a local differentially private federated learning system through generative data
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science China(Information sciences) 2023年 第8期66卷 275-276页
作者: Jun LI Kang WEI Chuan MA Feng SHU School of Electronic and Optical Engineering Nanjing University of Science and Technology Zhejiang Lab Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education School of Information and Communication Engineering Hainan University
With the rapid development of the Internet of Things(Io T),the amount of data from intelligent devices is propagating at unprecedented scales. Meanwhile, machine learning(ML),which relies heavily on such data, is revo... 详细信息
来源: 评论
BrainPST: Pre-training Stacked Transformers for Dynamic Brain Functional network Analysis
BrainPST: Pre-training Stacked Transformers for Dynamic Brai...
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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
作者: Hu, Jinlong Huang, Yangmin Zhuo, Yi Dong, Shoubin South China University of Technology Guangdong Key Lab of Communication and Computer Network School of Computer Science and Engineering Guangzhou China
Deep learning methods have been applied for dynamic brain functional network analysis recently. However, they are usually restricted by the complex spatio-temporal dynamics and the limited labeled data. In this paper,... 详细信息
来源: 评论
Prediction of Potential Repurposed Drugs against SARS-CoV-2 based on Text Mining and Molecular Docking Analysis  6
Prediction of Potential Repurposed Drugs against SARS-CoV-2 ...
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6th International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2023
作者: Zhou, Jie Xu, Yi-Qing Guangdong Key Lab of Communication and Computer Network School of Computer Science and Engineering South China University of Technology Guangzhou China
Many research papers focusing the relationships between drugs and coronavirus-related protein interactions are indexed in the PubMed database. These studies provide a reference for predicting potential repurposed drug... 详细信息
来源: 评论
Transformer and Snowball Graph Convolution Learning for Brain Functional network Analysis
Transformer and Snowball Graph Convolution Learning for Brai...
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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
作者: Hu, Jinlong Huang, Yangmin Dong, Shoubin South China University of Technology Guangdong Key Lab of Communication and Computer Network School of Computer Science and Engineering Guangzhou China
Advanced deep learning methods, especially graph neural networks (GNNs), are increasingly expected to learn from brain functional network data and predict brain disorders. In this paper, we proposed a novel Transforme... 详细信息
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