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检索条件"机构=Key Laboratory of Data Engineering and Data Knowledge of the Ministry of Education of China"
5034 条 记 录,以下是131-140 订阅
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TOWARDS ROBUST AND EFFICIENT CLOUD-EDGE ELASTIC MODEL ADAPTATION VIA SELECTIVE ENTROPY DISTILLATION  12
TOWARDS ROBUST AND EFFICIENT CLOUD-EDGE ELASTIC MODEL ADAPTA...
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12th International Conference on Learning Representations, ICLR 2024
作者: Chen, Yaofo Niu, Shuaicheng Wang, Yaowei Xu, Shoukai Song, Hengjie Tan, Mingkui South China University of Technology China Pengcheng Laboratory China Nanyang Technological University Singapore Key Laboratory of Big Data and Intelligent Robot Ministry of Education China Pazhou Laboratory China
The conventional deep learning paradigm often involves training a deep model on a server and then deploying the model or its distilled ones to resource-limited edge devices. Usually, the models shall remain fixed once... 详细信息
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Multi-Perspective data Fusion Framework Based on Hierarchical BERT: Provide Visual Predictions of Business Processes
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Computers, Materials & Continua 2024年 第1期78卷 1227-1252页
作者: Yongwang Yuan Xiangwei Liu Ke Lu School of Mathematics and Big Data Anhui University of Science and TechnologyHuainan232001China School of Economics and Management Anhui University of Science and TechnologyHuainan232001China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji UniversityShanghai201804China
Predictive Business Process Monitoring(PBPM)is a significant research area in Business Process Management(BPM)aimed at accurately forecasting future behavioral *** present,deep learning methods are widely cited in PBP... 详细信息
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Application of XGBoost and kernel principal component analysis to forecast oxygen content in ESR
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Journal of Iron and Steel Research International 2024年 第12期31卷 2940-2952页
作者: Yu-xiao Liu Yan-wu Dong Zhou-hua Jiang Qi Wang Yu-shuo Li School of Metallurgy Northeastern UniversityShenyang110819LiaoningChina National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang110819LiaoningChina Key Laboratory of Data Analytics and Optimization for Smart Industry(Northeastern University) Ministry of EducationShenyang110000LiaoningChina Key Laboratory of Ecological Metallurgy of Multimetallic Mineral Northeastern UniversityShenyang110819LiaoningChina
A model combining kernel principal component analysis(KPCA)and Xtreme Gradient Boosting(XGBoost)was introduced for forecasting the final oxygen content of electroslag *** was employed to reduce the dimensionality of t... 详细信息
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High-Dimensional Multi-Label data Stream Classification With Concept Drifting Detection
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IEEE Transactions on knowledge and data engineering 2023年 第8期35卷 8085-8099页
作者: Li, Peipei Zhang, Haixiang Hu, Xuegang Wu, Xindong Anhui Province Key Laboratory of Industry Safety and Emergency Technology Hefei230601 China Hefei University of Technology School of Computer Science and Information Engineering Hefei230601 China Second People's Hospital of Hefei Anhui Hefei230011 China Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data Ministry of Education of China School of Computer Science and Information Engineering Anhui Hefei230002 China
Multi-label data streams such as Web texts and images have been popular on the Web. These data present the characteristics of multiple label, high dimensionality, high volume, high velocity and especial concept drift ... 详细信息
来源: 评论
Multi-Cluster Feature Selection Based on Isometric Mapping
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IEEE/CAA Journal of Automatica Sinica 2022年 第3期9卷 570-572页
作者: Yadi Wang Zefeng Zhang Yinghao Lin Henan Key Laboratory of Big Data Analysis and Processing Henan UniversityKaifeng 475004 Institute of Data and Knowledge Engineering School of Computer and Information EngineeringHenan UniversityKaifeng 475004China
Dear editor,This letter presents an unsupervised feature selection method based on machine *** selection is an important component of artificial intelligence,machine learning,which can effectively solve the curse of d... 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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Few-shot 3D Point Cloud Segmentation via Relation Consistency-guided Heterogeneous Prototypes
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IEEE Transactions on Multimedia 2025年 27卷 3158-3170页
作者: Wei, Lili Lang, Congyan Xu, Zheming Liang, Liqian Liu, Jun Ministry of Education Key Laboratory of Big Data & Artificial Intelligence in Transportation China Beijing Jiaotong University School of Computer Science & Technology Beijing100044 China Lancaster University LA1 4YW Lancaster United Kingdom
Few-shot 3D point cloud semantic segmentation is a challenging task due to the lack of labeled point clouds (support set). To segment unlabeled query point clouds, existing prototype-based methods learn 3D prototypes ... 详细信息
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Task Offloading Optimization Based on Position Prediction in Pedestrian- Robot Mixed Traffic Flows  8
Task Offloading Optimization Based on Position Prediction in...
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8th IEEE International Conference on Computer and Communications, ICCC 2022
作者: Zheng, Dawen Wang, Lusheng Kai, Caihong Peng, Min Key Laboratory of Knowledge Engineering with Big Data Ministry of Education School of Computer Science and Information Engineering Hefei University of Technology Hefei China
Service robots play an increasingly important role in people's daily life. The density of pedestrians is large and the movement is irregular in pedestrian-robot mixed traffic flows. Robots are prone to collision w... 详细信息
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Enhancing graph representation learning via type-aware decoupling and node influence allocation
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Applied Intelligence 2025年 第6期55卷 1-14页
作者: Zhu, Guochang Hu, Jun Liu, Li Zhang, Qinghua Wang, Guoyin School of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongwen Road Chongqing Chongqing400065 China Chongqing Key Laboratory of Computational Intelligence Chongqing University of Posts and Telecommunications Chongwen Road Chongqing Chongqing400065 China Key Laboratory of Cyberspace Big Data Intelligent Security Ministry of Education Chongqing400065 China
The traditional graph representation methods can fit the information of graph with low-dimensional vectors, but they cannot interpret their composition, resulting in insufficient security. Graph decoupling, as a metho... 详细信息
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Short Text Topic Modeling Techniques, Applications, and Performance: A Survey
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IEEE Transactions on knowledge and data engineering 2022年 第3期34卷 1427-1445页
作者: Qiang, Jipeng Qian, Zhenyu Li, Yun Yuan, Yunhao Wu, Xindong Department of Computer Science Yangzhou University Jiangsu225009 China Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Hefei University of Technology Hefei Anhui230026 China Mininglamp Academy of Sciences Minininglamp Beijing China
Analyzing short texts infers discriminative and coherent latent topics that is a critical and fundamental task since many real-world applications require semantic understanding of short texts. Traditional long text to... 详细信息
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