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检索条件"机构=Big Data Technology and System Laboratory"
705 条 记 录,以下是431-440 订阅
排序:
Sledge: Towards Efficient Live Migration of Docker Containers
Sledge: Towards Efficient Live Migration of Docker Container...
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IEEE International Conference on Cloud Computing, CLOUD
作者: Bo Xu Song Wu Jiang Xiao Hai Jin Yingxi Zhang Guoqiang Shi Tingyu Lin Jia Rao Li Yi Jizhong Jiang National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China State Key Laboratory of Intelligent Manufacturing System Technology Beijing China The University of Texas at Arlington Arlington TX USA Alibaba Cloud Computing Co. Ltd. Hangzhou China
Modern large-scale cloud platforms require live migration technique on Docker containers with stateful workload to support load balancing, host maintenance, and Quality of Service (QoS) improvement. Efficient and scal... 详细信息
来源: 评论
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
arXiv
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arXiv 2024年
作者: Luo, Zihan Song, Xiran Huang, Hong Lian, Jianxun Zhang, Chenhao Jiang, Jinqi Xie, Xing Huazhong University of Science and Technology Wuhan China Microsoft Research Asia Beijing China The National Engineering Research Center for Big Data Technology and System Service Computing Technology and Systems Laboratory Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China
Evaluating and enhancing the general capabilities of large language models (LLMs) has been an important research topic. Graph is a common data structure in the real world, and understanding graph data is a crucial par... 详细信息
来源: 评论
SSC- l0 : Sparse Subspace Clustering with the l0 Inequality Constraint  7th
SSC- l0 : Sparse Subspace Clustering with the l0 Inequality...
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7th Asian Conference on Pattern Recognition, ACPR 2023
作者: Wang, Yangbo Zhou, Jie Lin, Qingshui Lu, Jianglin Gao, Can National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen518060 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518060 China Basic Teaching Department Liaoning Technical University Huludao125105 China College of Engineering Northeastern University BostonMA02115 United States
Self-expression learning methods often obtain a coefficient matrix to measure the similarity between pairs of samples. However, directly using all points to represent a fixed sample in a class under the self-expressio... 详细信息
来源: 评论
Accumulative time-based ranking method to reputation evaluation in information networks
arXiv
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arXiv 2019年
作者: Liao, Hao Liu, Qi-Xin Huang, Ze-Cheng Yeung, Chi Ho Zhang, Yi-Cheng National Engineering Laboratory on Big Data System Computing Technology Guangdong Province Engineering Center of China-made High Performance Data Computing System College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Institute of Big Data Intelligent Management and Decision Shenzhen University Shenzhen518060 China Department of Science and Environmental Studies The Education University of Hong Kong Hong Kong Hong Kong Department of Physics University of Fribourg Fribourg Switzerland
With the rapid development of modern technology, the Web has become an important platform for users to make friends and acquire information. However, since information on the Web is over-abundant, information filterin... 详细信息
来源: 评论
Graph-Augmented Contrastive Clustering for Time Series data
SSRN
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SSRN 2024年
作者: Zhang, Qin Liang, Zhuoluo Ngueilbaye, Alladoumbaye Zhang, Peng Chen, Junyang Chen, Xiaojun Huang, Joshua Zhexue College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen518060 China Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou510006 China
The recent emergence of time series contrastive clustering methods can be categorized into two classes. The first class uses contrastive learning for universal representations, which can be effective in various downst... 详细信息
来源: 评论
Modeling heterogeneous edges to represent networks with graph auto-encoder
arXiv
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arXiv 2021年
作者: Wang, Lu Song, Yu Huang, Hong Ye, Fanghua Shi, Xuanhua Jin, Hai National Engineering Research Center for Big Data Technology and System Wuhan China Service Computing Technology and Systems Laboratory Wuhan China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Computer Science University College London London United Kingdom
In the real world, networks often contain multiple relationships among nodes, manifested as the heterogeneity of the edges in the networks. We convert the heterogeneous networks into multiple views by using each view ... 详细信息
来源: 评论
Graph-Augmented Contrastive Clustering for Time Series
SSRN
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SSRN 2023年
作者: Zhang, Qin Liang, Zhuoluo Ngueilbaye, Alladoumbaye Zhang, Peng Chen, Junyang Chen, Xiaojun Huang, Joshua Zhexue College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen518060 China Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou510006 China
The recent emergence of time series contrastive clustering methods can be categorized into two classes. The first class uses contrastive learning for universal representations, which can be effective in various downst... 详细信息
来源: 评论
A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization  13
A Cooperative Co-Evolution Algorithm with Variable-Importanc...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Li, Yongfeng Zhang, Yuze Ma, Lijia Ji, Junkai Liu, Dugang Leung, Victor C. M. Li, Jianqiang Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen518060 China Guangdong Laboratory of Artificial Intelligence and Digital Economy Shenzhen518123 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Artificial Intelligence Research Institute Shenzhen MSU-BIT University Shenzhen518172 China The University of British Columbia Department of Electrical and Computer Engineering VancouverV6T 1Z4 Canada
Cooperative co-evolution (CC) is a promising direction in solving large-scale multiobjective optimization problems (LMOPs). However, most existing methods of grouping decision variables face some difficulties when sea... 详细信息
来源: 评论
PHD: A Deep Learning Based Human Detection Framework for Panoramic Videos
PHD: A Deep Learning Based Human Detection Framework for Pan...
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International Conference on Wireless Communications and Signal Processing (WCSP)
作者: Jinting Tang Zhenhui Chen Yongkai Huo Peichang Zhang National Engineering Laboratory for Big Data System Computing Technology Research Institute for Future Media Computing School of Computer Science and Software Engineering Shenzhen University Shenzhen China The College of Information Engineering Shenzhen University Shenzhen China
Panoramic video has attracted substantial research attention as the coming video format. It is capable of providing 360 degree immersive experience of omnidirectional visual information. State-of-the-art detection net... 详细信息
来源: 评论
VARIATIONAL AUTO-ENCODER BASED SOLUTIONS TO INTERACTIVE DYNAMIC INFLUENCE DIAGRAMS
arXiv
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arXiv 2024年
作者: Pan, Yinghui Ma, Biyang Zhang, Hanyi Zeng, Yifeng National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China School of Computer Science Minnan Normal University Zhangzhou China Department of Computer and Information Sciences Northumbria University Newcastle United Kingdom
Addressing multiagent decision problems in AI, especially those involving collaborative or competitive agents acting concurrently in a partially observable and stochastic environment, remains a formidable challenge. W... 详细信息
来源: 评论