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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1-10 订阅
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Large language model for table processing: a survey
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Frontiers of Computer Science 2025年 第2期19卷 71-87页
作者: Weizheng LU Jing ZHANG Ju FAN Zihao FU Yueguo CHEN Xiaoyong DU School of Information Renmin University of ChinaBeijing 100872China Key Laboratory of Data Engineering and Knowledge Engineering Beijing 100872China WPS Office Kingsoft Co.Zhuhai 519080China
Tables,typically two-dimensional and structured to store large amounts of data,are essential in daily activities like database queries,spreadsheet manipulations,Web table question answering,and image table information... 详细信息
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Enhancing Storage Efficiency and Performance: A Survey of data Partitioning Techniques
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Journal of Computer Science & Technology 2024年 第2期39卷 346-368页
作者: 刘鹏举 李翠平 陈红 Distinguished Member CCF 1.School of InformationRenmin University of ChinaBeijing 100872China Key Laboratory of Data Engineering and Knowledge Engineering of the Ministry of Education Beijing 100872China
data partitioning techniques are pivotal for optimal data placement across storage devices,thereby enhancing resource utilization and overall system ***,the design of effective partition schemes faces multiple challen... 详细信息
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Study on the Characteristics of Cross-Domain knowledge Diffusion from Science to Policy: Evidence from Overton data
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Proceedings of the Association for Information Science and Technology 2023年 第1期60卷 368-378页
作者: Ren, Chao Yang, Menghui School of Information Resource Management Renmin University of China China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education China
The cross-domain knowledge diffusion from science to policy is a prevalent phenomenon that demands academic attention. To investigate the characteristics of cross-domain knowledge diffusion from science to policy, thi... 详细信息
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Hadamard Encoding Based Frequent Itemset Mining under Local Differential Privacy
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Journal of Computer Science & Technology 2023年 第6期38卷 1403-1422页
作者: 赵丹 赵素云 陈红 刘睿瑄 李翠平 张晓莹 Institute of Scientific and Technical Information of China Beijing 100038China Key Laboratory of Data Engineering and Knowledge Engineering(Ministry of Education) School of InformationRenmin University of ChinaBeijing 100872China
Local differential privacy(LDP)approaches to collecting sensitive information for frequent itemset mining(FIM)can reliably guarantee *** current approaches to FIM under LDP add"padding and sampling"steps to ... 详细信息
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Leaving None Behind: data-Free Domain Incremental Learning for Major Depressive Disorder Detection
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IEEE Transactions on Affective Computing 2024年 第02期16卷 758-770页
作者: Chen, Tao Guo, Yanrong Hao, Shijie Hong, Richang Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data China Hefei University of Technology Ministry of Education and School of Computer Science and Information Engineering Hefei230009 China
While deep learning techniques have shown promising performance in the Major Depressive Disorder (MDD) detection task, they still face limitations in real-world scenarios. Specifically, given the data scarcity, some e... 详细信息
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Fine-Grained Cross-Modal Fusion Based Refinement for Text-to-Image Synthesis
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Chinese Journal of Electronics 2023年 第6期32卷 1329-1340页
作者: SUN Haoran WANG Yang LIU Haipeng QIAN Biao Department of Computer Science and Information Engineering Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data Ministry of EducationHefei University of Technology
Text-to-image synthesis refers to generating visual-realistic and semantically consistent images from given textual descriptions. Previous approaches generate an initial low-resolution image and then refine it to be h... 详细信息
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Representation learning: serial-autoencoder for personalized recommendation
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Frontiers of Computer Science 2024年 第4期18卷 61-72页
作者: Yi ZHU Yishuai GENG Yun LI Jipeng QIANG Xindong WU School of Information Engineering Yangzhou UniversityYangzhou 225127China Key Laboratory of Knowledge Engineering with Big Data(Ministry of Education of the People’s Republic of China) Hefei University of TechnologyHefei 230009China School of Computer Science and Information Engineering Hefei University of TechnologyHefei 230009China
Nowadays,the personalized recommendation has become a research hotspot for addressing information *** this,generating effective recommendations from sparse data remains a ***,auxiliary information has been widely used... 详细信息
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Multi-view Feature Learning for the Over-penalty in Adversarial Domain Adaptation
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data Intelligence 2024年 第1期6卷 183-200页
作者: Yuhong Zhang Jianqing Wu Qi Zhang Xuegang Hu School of Computer and Information Engineering Hefei University of TechnologyHefei 230601China Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology) The Ministry of Education of ChinaHefei 230009China
Domain adaptation aims to transfer knowledge from the labeled source domain to an unlabeled target domain that follows a similar but different ***,adversarial-based methods have achieved remarkable success due to the ... 详细信息
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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
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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
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