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检索条件"机构=Key Laboratories of Data Engineering and Knowledge Engineering"
1142 条 记 录,以下是61-70 订阅
Semantic SLAM Based on Compensated Segmentation and Geometric Constraints in Dynamic Environments  6
Semantic SLAM Based on Compensated Segmentation and Geometri...
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6th Asian Conference on Artificial Intelligence Technology, ACAIT 2022
作者: Fang, Baofu Zhou, Shuai Wang, Hao Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology School of Computer Science and Information Engineering Hefei China
Most of the existing slam algorithms are designed based on the assumption of a static environment, this strong assumption limits the practical application of most slam systems. The main reason is that moving objects w... 详细信息
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Marginal Value-Based Edge Resource Pricing and Allocation for Deadline-Sensitive Tasks  42
Marginal Value-Based Edge Resource Pricing and Allocation fo...
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42nd IEEE International Conference on Computer Communications, INFOCOM 2023
作者: Wang, Puwei Sun, Zhouxing Zhan, Ying Li, Haoran Du, Xiaoyong Renmin University of China School of Information China Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education Beijing100872 China Guizhou University of Finance and Economics Guiyang City550025 China
In edge computing (EC), resource allocation is to allocate computing, storage and networking resources on the edge nodes (ENs) efficiently and reasonably to tasks generated by users. Due to the resource-limitation of ... 详细信息
来源: 评论
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis
arXiv
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arXiv 2025年
作者: Zhang, Bohan 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 inference scaling methods, such as Self-consistency and Best-of-N, have proven effective in improving the accuracy of LLMs on complex reasoning tasks. However, these methods rely heavily on the quality of cand... 详细信息
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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
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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
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
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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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KAN v.s. MLP for Offline Reinforcement Learning
KAN v.s. MLP for Offline Reinforcement Learning
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Guo, Haihong Li, Fengxin Li, Jiao Liu, Hongyan School of Information Renmin University of China China Institute of Medical Information Medical Library Chinese Academy of Medical Sciences Peking Union Medical College China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education China School of Economics and Management Tsinghua University China
Kolmogorov-Arnold Networks (KAN) is an emerging neural network architecture in machine learning. It has greatly interested the research community about whether KAN can be a promising alternative to the commonly used M... 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
来源: 评论