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检索条件"机构=Knowledge Data Engineering and Information Retrieval Laboratory"
768 条 记 录,以下是11-20 订阅
排序:
Representation learning via an integrated autoencoder for unsupervised domain adaptation
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Frontiers of Computer Science 2023年 第5期17卷 75-87页
作者: Yi ZHU Xindong WU Jipeng QIANG Yunhao YUAN Yun LI School of Information Engineering Yangzhou UniversityYangzhou 225127China Key Laboratory of Knowledge Engineering with Big Data(Ministry of Education of China) Hefei University of TechnologyHefei 230009China School of Computer Science and Information Engineering Hefei University of TechnologyHefei 230601China
The purpose of unsupervised domain adaptation is to use the knowledge of the source domain whose data distribution is different from that of the target domain for promoting the learning task in the target *** key bott... 详细信息
来源: 评论
Diversifying Question Generation over knowledge Base via External Natural Questions  30
Diversifying Question Generation over Knowledge Base via Ext...
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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: Guo, Shasha Zhang, Jing Ke, Xirui Li, Cuiping Chen, Hong School of Information Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education China
Previous methods on knowledge base question generation (KBQG) primarily focus on refining the quality of a single generated question. However, considering the remarkable paraphrasing ability of humans, we believe that... 详细信息
来源: 评论
Cutting Learned Index into Pieces: An In-depth Inquiry into Updatable Learned Indexes  39
Cutting Learned Index into Pieces: An In-depth Inquiry into ...
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39th IEEE International Conference on data engineering, ICDE 2023
作者: Ge, Jiake Shi, Boyu Chai, Yanfeng Luo, Yuanhui Guo, Yunda He, Yinxuan Chai, Yunpeng Moe Key Laboratory of Data Engineering and Knowledge Engineering China Renmin University of China School of Information China
Numerous high-performance updatable learned indexes have recently been designed to support the writing requirements in practical systems. Researchers have proposed various strategies to improve the availability of upd... 详细信息
来源: 评论
Self-Adaptive Imbalanced Domain Adaptation With Deep Sparse Autoencoder
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2023年 第5期4卷 1293-1304页
作者: Zhu, Yi Wu, Xindong Li, Yun Qiang, Jipeng Yuan, Yunhao Yangzhou University School of Information Engineering Yangzhou225012 China Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data Ministry of Education of China Hefei230002 China
Domain adaptation aims to transfer knowledge between different domains to develop an effective hypothesis in the target domain with scarce labeled data, which is an effective method for remedying the problem of labele... 详细信息
来源: 评论
Bootstrap-Based Layerwise Refining for Causal Structure Learning
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2024年 第6期5卷 2708-2722页
作者: Xiang, Guodu Wang, Hao Yu, Kui Guo, Xianjie Cao, Fuyuan Song, Yukun Hefei University of Technology Key Laboratory of Knowledge Engineering with the Big Data of Ministry of Education Hefei230601 China Hefei University of Technology School of Computer Science and Information Engineering Hefei230601 China Shanxi University School of Computer and Information Technology Taiyuan030006 China
Learning causal structures from observational data is critical for causal discovery and many machine learning tasks. Traditional constraint-based methods first adopt conditional independence (CI) tests to learn a glob... 详细信息
来源: 评论
Efficient protocols for heavy hitter identification with local differential privacy
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Frontiers of Computer Science 2022年 第5期16卷 193-203页
作者: Dan ZHAO Suyun ZHAO Hong CHEN Ruixuan LIU Cuiping LI Wenjuan LIANG Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education Renmin University of ChinaBeijing 100872China School of Information Renmin University of ChinaBeijing 100872China
Local differential privacy(LDP),which is a technique that employs unbiased statistical estimations instead of real data,is usually adopted in data collection,as it can protect every user’s privacy and prevent the lea... 详细信息
来源: 评论
High Dynamic Collaborative Team Query via Multi-Fuzzy-Constrained Graph Pattern Matching  9
High Dynamic Collaborative Team Query via Multi-Fuzzy-Constr...
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9th International Conference on Cloud Computing and Big data Analytics, ICCCBDA 2024
作者: Hu, Tao Zhang, Zan Bu, Chenyang Li, Lei 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 China
Graph pattern matching is a technique widely used in various fields such as protein structure analysis, social group querying, and expert localization. This technique involves finding matching subgraphs in large socia... 详细信息
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Improving Parameter Estimation and Defensive Ability of Latent Dirichlet Allocation Model Training Under Rényi Differential Privacy
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Journal of Computer Science & Technology 2022年 第6期37卷 1382-1397页
作者: Tao Huang Su-Yun Zhao Hong Chen Yi-Xuan Liu Key Laboratory of Data Engineering and Knowledge Engineering(Renmin University of China) Ministry of Education Beijing 100087China School of Information Renmin University of ChinaBeijing 100087China
Latent Dirichlet allocation(LDA)is a topic model widely used for discovering hidden semantics in massive text *** Gibbs sampling(CGS),as a widely-used algorithm for learning the parameters of LDA,has the risk of priva... 详细信息
来源: 评论
Hierarchical All-Pairs SimRank Calculation  28th
Hierarchical All-Pairs SimRank Calculation
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28th International Conference on database Systems for Advanced Applications, DASFAA 2023
作者: Zhang, Liangfu Li, Cuiping Zhang, Xue Chen, Hong Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education School of Information Renmin University of China Beijing China
All-pairs SimRank calculation is a classic SimRank problem. However, all-pairs algorithms suffer from efficiency issues and accuracy issues. In this paper, we convert the non-linear simrank calculation into a new simp... 详细信息
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Joint user profiling with hierarchical attention networks
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Frontiers of Computer Science 2023年 第3期17卷 133-143页
作者: Xiaojian LIU Yi ZHU Xindong WU Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology) Ministry of EducationHefei 230009China School of Computer Science and Information Engineering Hefei University of TechnologyHefei 230009China School of Information Engineering Yangzhou UniversityYangzhou 225009China Mininglamp Academy of Sciences MininglampBeijing 100193China
User profiling by inferring user personality traits,such as age and gender,plays an increasingly important role in many real-world *** existing methods for user profiling either use only one type of data or ignore han... 详细信息
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