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检索条件"机构=Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education"
3233 条 记 录,以下是261-270 订阅
排序:
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
arXiv
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arXiv 2024年
作者: Liu, Yonghao Li, Mengyu Li, Ximing Huang, Lan Giunchiglia, Fausto Liang, Yanchun Feng, Xiaoyue Guan, Renchu Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Jilin University Changchun China University of Trento Trento Italy Zhuhai Laboratory of the Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education Zhuhai College of Science and Technology Zhuhai China
Node classification is an essential problem in graph learning. However, many models typically obtain unsatisfactory performance when applied to few-shot scenarios. Some studies have attempted to combine meta-learning ... 详细信息
来源: 评论
Ensemble Classifier Design Based on Perturbation Binary Salp Swarm Algorithm for Classification
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Computer Modeling in engineering & Sciences 2023年 第4期135卷 653-671页
作者: Xuhui Zhu Pingfan Xia Qizhi He Zhiwei Ni Liping Ni School of Management Hefei University of TechnologyHefei230009China School of Statistics Zhejiang Gongshang UniversityHangzhou310018China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of EducationHefei230009China Collaborative Innovation Center for Statistical Data Engineering Technology and Application ZhejiangGongshang UniversityHangzhou310018China
Multiple classifier system exhibits strong classification capacity compared with single classifiers,but they require significant computational *** ensemble system aims to attain equivalent or better classification acc... 详细信息
来源: 评论
Meta-path Enhanced knowledge Graph Convolutional Network for Recommender Systems  12
Meta-path Enhanced Knowledge Graph Convolutional Network for...
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12th IEEE International Conference on Big knowledge, ICBK 2021
作者: Wang, Ru Wu, Meng Ji, Shengwei Hefei University of Technology Key Laboratory of Knowledge Engineering With Big Data Ministry of Education School of Computer Science and Information Engineering Hefei China
knowledge Graph (KG) is a directed heterogeneous information network that contains a large number of entities and relations, which is widely used as effective side information in rec-ommender systems. Moreover, in rec... 详细信息
来源: 评论
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
arXiv
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arXiv 2024年
作者: Ji, Shengwei Tian, Yujie Liu, Fei Li, Xinlu Wu, Le The School of Artificial Intelligence and Big Data Hefei University Hefei China The School of Computer Science and Information Engineering Hefei University of Technology Hefei China The Key Laboratory of Knowledge Engineering with Big Data Ministry of Education China
Graph Convolutional Networks (GCNs) are widely used in graph-based applications, such as social networks and recommendation systems. Nevertheless, large-scale graphs or deep aggregation layers in full-batch GCNs consu... 详细信息
来源: 评论
A Two Dimensional Feature engineering Method for Relation Extraction  5
A Two Dimensional Feature Engineering Method for Relation Ex...
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5th International Conference on Control, Robotics, and Intelligent System, CCRIS 2024
作者: Wang, Hao Chen, Yanping Yang, Weizhe Lin, Chuan Text Computing & Cognitive Intelligence Engineering Research Center of National Education Ministry Huaxi District Guizhou China State Key Laboratory of Public Big Data Huaxi District Guizhou China Guizhou University Huaxi District Guizhou China
Transforming a sentence into a 2D representation, similar to table structures, reveals a semantic plane where elements can represent potential relations between paired entities. The 2D representation effectively addre... 详细信息
来源: 评论
Controlled-source electromagnetic noise attenuation via a deep convolutional neural network and high-quality sounding curve screening mechanism
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Geophysics 2025年 第3期90卷 WA125-WA140页
作者: Liu, Yecheng Li, Diquan Li, Jin Zhang, Xian Central South University Monitoring Ministry of Education Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Changsha China Hunan Provincial Key Laboratory of Non-ferrous Resources and Geological Hazard Detection Changsha China Central South University School of Geoscience and Info-physics Changsha China Hunan Normal University College of Information Science and Engineering Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Changsha China Hunan University of Finance and Economics School of Information Technology and Management Hunan Provincial Key Laboratory of Finance & Economics Big Data Science and Technology Changsha China
Strong noise is one of the biggest challenges in controlled-source electromagnetic (CSEM) exploration, which severely affects the quality of the recorded signal. We develop a novel and effective CSEM noise attenuation... 详细信息
来源: 评论
Hybrid Parameter Update: Alleviating Imbalance Impacts for Distributed Deep Learning  24
Hybrid Parameter Update: Alleviating Imbalance Impacts for D...
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24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on data Science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022
作者: Li, Hongliang Xu, Dong Xu, Zhewen Li, Xiang College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education Changchun China
Nowadays, data parallelism has been widely applied to train large datasets on distributed deep learning clusters, but it has suffered from costly global parameter updates at batch barriers. Performance imbalance among... 详细信息
来源: 评论
Structure-Based Uncertainty Estimation for Source-Free Active Domain Adaptation
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IET Computer Vision 2025年 第1期19卷
作者: Ouyang, Jihong Zhang, Zhengjie Meng, Qingyi Chi, Jinjin College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China
Active domain adaptation (active DA) provides an effective solution by selectively labelling a limited number of target samples to significantly enhance adaptation performance. However, existing active DA methods ofte... 详细信息
来源: 评论
TERMS: Task management policies to achieve high performance for mixed workloads using surplus resources
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Journal of Parallel and Distributed Computing 2022年 第0期170卷 74-85页
作者: Yu, Jinyu Tong, Wei Lv, Pengze Feng, Dan Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and Technology School of Computer Science and Technology Huazhong University of Science and Technology Ministry of Education of China Hubei Wuhan China
Resource contentions and performance interferences can lead to workload performance degradation in mixed-workload deployment clusters. Previous work guarantees the resource requirements of latency-sensitive tasks and ... 详细信息
来源: 评论
Spatial-temporal graph attention network for traffic flow forecasting  5
Spatial-temporal graph attention network for traffic flow fo...
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2022 5th International Conference on Advanced Algorithms and Control engineering, ICAACE 2022
作者: Wang, Ling Jia, Gaofeng School of Automation and Electrical Engineering Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education University of Science and Technology Beijing Beijing100083 China
Traffic flow forecasting is one of the most challenging tasks in intelligent transportation system, which is very important and critical for many traffic services. Although there are existing works on forecasting the ... 详细信息
来源: 评论