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检索条件"机构=Key Laboratories of Data Engineering and Knowledge Engineering"
1111 条 记 录,以下是61-70 订阅
排序:
Enabling Efficient NVM-Based Text Analytics without Decompression
Enabling Efficient NVM-Based Text Analytics without Decompre...
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International Conference on data engineering
作者: Xiaokun Fang Feng Zhang Junxiang Nong Mingxing Zhang Puyun Hu Yunpeng Chai Xiaoyong Du Key Laboratory of Data Engineering and Knowledge Engineering (MOE) and School of Information Renmin University of China Department of Computer Science and Engineering Tsinghua University
Text analytics directly on compression (TADOC) is a promising technology designed for handling big data analytics. However, a substantial amount of DRAM is required for high performance, which limits its usage in many... 详细信息
来源: 评论
Dynamic Scaling of Unit Tests for Code Reward Modeling
arXiv
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arXiv 2025年
作者: Ma, Zeyao Zhang, Xiaokang Zhang, Jing Yu, Jifan Luo, Sijia Tang, Jie School of Information Renmin University of China China Tsinghua University China Key Laboratory of Data Engineering and Knowledge Engineering Beijing China
Current large language models (LLMs) often struggle to produce accurate solutions on the first attempt for code generation. Prior research tackles this challenge by generating multiple candidate solutions and validati...
来源: 评论
Fair Personalized Learner Modeling Without Sensitive Attributes  25
Fair Personalized Learner Modeling Without Sensitive Attribu...
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34th ACM Web Conference, WWW 2025
作者: Xu, Hefei Hou, Min Wu, Le Liu, Fei Yang, Yonghui Bai, Haoyue Hong, Richang Wang, Meng Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Anhui Hefei China Institute of Dataspace Hefei Comprehensive National Science Center Anhui Hefei China
Personalized learner modeling uses learners’ historical behavior data to diagnose their cognitive abilities, a process known as Cognitive Diagnosis (CD). This is essential for web-based learning services such as lear... 详细信息
来源: 评论
CITE: Compact Interactive TransformEr for Multilingual Image Captioning  23
CITE: Compact Interactive TransformEr for Multilingual Image...
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6th International Conference on Image and Graphics Processing, ICIGP 2023
作者: Xu, Yueyuan Hu, Zhenzhen Zhou, Yuanen Hao, Shijie Hong, Richang Key Laboratory of Knowledge Engineering with Big Data School of Computer and Information Hefei University of Technology China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei China
Current state-of-the-art image captioning models generate captions in a single language, requiring a combination of multiple language specific models to build a multilingual image captioning system. However, as the nu... 详细信息
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Automatic Fusion for Multimodal Entity Alignment: A New Perspective from Automatic Architecture Search
Automatic Fusion for Multimodal Entity Alignment: A New Pers...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Chenyang Bu Yunpeng Hong Shiji Zang Guojie Chang Xindong Wu Key Laboratory of Knowledge Engineering With Big Data (the Ministry of Education of China) School of Computer Science and Engineering HeFei University of Technology
Integrating multimodal data from diverse sources is crucial for enhancing various applications. Multimodal entity alignment (MMEA), which discovers equivalent entities across different sources and modalities, aims to ... 详细信息
来源: 评论
A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction  24
A Symbolic Rule Integration Framework with Logic Transformer...
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33rd ACM Web Conference, WWW 2024
作者: Pan, Yudai Liu, Jun Zhao, Tianzhe Zhang, Lingling Lin, Yun Dong, Jin Song School of Computer Science and Technology Xi'an Jiaotong University Shaanxi Xi'an China National Engineering Lab for Big Data Analytics Xi'an Jiaotong University Shaanxi Xi'an China Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering Xi'an Jiaotong University Shaanxi Xi'an China Shanghai Jiao Tong University Shanghai China National University of Singapore Singapore Singapore
Relation prediction in knowledge graphs (KGs) aims at predicting missing relations in incomplete triples, whereas the dominant paradigm by KG embeddings has a limitation to predict the relation between unseen entities... 详细信息
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Context-Aware Semantic Type Identification for Relational Attributes
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Journal of Computer Science & Technology 2023年 第4期38卷 927-946页
作者: 丁玥 郭雨荷 卢卫 李海翔 张美慧 李晖 潘安群 杜小勇 Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education Renmin University of China Beijing 100872China School of Information Renmin University of ChinaBeijing 100872China Tencent(Beijing)Technology Company Limited Beijing 100080China School of Computer Science and Technology Beijing Institute of TechnologyBeijing 100081China College of Computer Science and Technology Guizhou UniversityGuiyang 550025China Tencent(Shenzhen)Technology Company Limited Shenzhen 518057China
Identifying semantic types for attributes in relations,known as attribute semantic type(AST)identification,plays an important role in many data analysis tasks,such as data cleaning,schema matching,and keyword search i... 详细信息
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Partial Label Feature Selection: An Adaptive Approach
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IEEE Transactions on knowledge and data engineering 2024年 第8期36卷 4178-4191页
作者: Zan Zhang Jialu Yao Lin Liu Jiuyong Li Lei Li Xindong Wu Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China) Hefei Anhui China School of Computer Science and Information Engineering Hefei University of Technology Hefei Anhui China Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology Hefei Anhui China UniSA STEM University of South Australia Adelaide SA Australia Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China) School of Computer Science and Information Engineering Hefei University of Technology Hefei Anhui China Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China) Hefei University of Technology Hefei Anhui China
As an emerging weakly supervised learning framework, partial label learning aims to induce a multi-class classifier from ambiguous supervision information where each training example is associated with a set of candid... 详细信息
来源: 评论
Towards annotation-free evaluation of cross-lingual image captioning  2
Towards annotation-free evaluation of cross-lingual image ca...
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2nd ACM International Conference on Multimedia in Asia, MMAsia 2020
作者: Chen, Aozhu Huang, Xinyi Lin, Hailan Li, Xirong Moe Key Lab of Data Engineering and Knowledge Engineering Renmin University of China Beijing China
Cross-lingual image captioning, with its ability to caption an unlabeled image in a target language other than English, is an emerging topic in the multimedia field. In order to save the precious human resource from r... 详细信息
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Mining Bytecode Features of Smart Contracts to Detect PonziScheme on Blockchain
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Computer Modeling in engineering & Sciences 2021年 第6期127卷 1069-1085页
作者: Xiajiong Shen Shuaimin Jiang Lei Zhang Henan Key Laboratory of Big Data Analysis and Processing Henan UniversityKaifeng47500China Institute of Data and Knowledge Engineering Henan UniversityKaifeng47500China School of Computer and Information Engineering Henan UniversityKaifeng47500China
The emergence of smart contracts has increased the attention of industry and academia to blockchain technology,which is tamper-proofing,decentralized,autonomous,and enables decentralized applications to operate in unt... 详细信息
来源: 评论