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检索条件"机构=Cluster and Grid Computing Lab Services Computing Technology"
662 条 记 录,以下是41-50 订阅
排序:
EdgeMove: Pipelining Device-Edge Model Training for Mobile Intelligence  23
EdgeMove: Pipelining Device-Edge Model Training for Mobile I...
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2023 World Wide Web Conference, WWW 2023
作者: Dong, Zeqian He, Qiang Chen, Feifei Jin, Hai Gu, Tao Yang, Yun School of Computer Science and Technology Huazhong University of Science and Technology China Department of Computing Technologies Swinburne University of Technology Australia School of Information Technology Deakin University Australia School of Computing Macquarie University Australia National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan430074 China
Training machine learning (ML) models on mobile and Web-of-Things (WoT) has been widely acknowledged and employed as a promising solution to privacy-preserving ML. However, these end-devices often suffer from constrai... 详细信息
来源: 评论
Dispatcher: Resource-aware Nakamoto Blockchain via Hierarchical Topology and Adaptive Incentives
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Distributed Ledger Technologies: Research and Practice 2024年 第2期3卷 1-20页
作者: Hai Jin Shuohua Dong Xiaohai Dai Yuandi Cai Jiang Xiao 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
Mainstream blockchain systems such as Bitcoin and Ethereum are revolutionizing the financial industry by adopting the Nakamoto consensus protocol, i.e., Proof-of-Work (PoW). Only nodes with sufficient computing resour... 详细信息
来源: 评论
FedEdge: Accelerating Edge-Assisted Federated Learning  23
FedEdge: Accelerating Edge-Assisted Federated Learning
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2023 World Wide Web Conference, WWW 2023
作者: Wang, Kaibin He, Qiang Chen, Feifei Jin, Hai Yang, Yun School of Computer Science and Technology Huazhong University of Science and Technology China Department of Computing Technologies Swinburne University of Technology Australia School of Information Technology Deakin University Australia National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan430074 China
Federated learning (FL) has been widely acknowledged as a promising solution to training machine learning (ML) model training with privacy preservation. To reduce the traffic overheads incurred by FL systems, edge ser... 详细信息
来源: 评论
MeHyper: Accelerating Hypergraph Neural Networks by Exploring Implicit Dataflows  31
MeHyper: Accelerating Hypergraph Neural Networks by Explorin...
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31st IEEE International Symposium on High Performance Computer Architecture, HPCA 2025
作者: Zhao, Wenju Yao, Pengcheng Chen, Dan Zheng, Long Liao, Xiaofei Wang, Qinggang Ma, Shaobo Li, Yu Liu, Haifeng Xiao, Wenjing Sun, Yufei Zhu, Bing Jin, Hai Xue, Jingling Huazhong University of Science and Technology 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 Wuhan430074 China National University of Singapore School of Computing 119077 Singapore Guangxi University School of Computer Electronics and Information NanNing530004 China University of New South Wales School of Computer Science and Engineering SydneyNSW2052 Australia
Hypergraph Neural Networks (HGNNs) are increasingly utilized to analyze complex inter-entity relationships. Traditional HGNN systems, based on a hyperedge-centric dataflow model, independently process aggregation task... 详细信息
来源: 评论
AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems  39
AFaVS: Accurate Yet Fast Version Switching for Graph Process...
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39th IEEE International Conference on Data Engineering, ICDE 2023
作者: Zheng, Long Ye, Xiangyu Liu, Haifeng Wang, Qinggang Huang, Yu Gui, Chuangyi Yao, Pengcheng Liao, Xiaofei Jin, Hai Xue, Jingling Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Laboratory Wuhan430074 China Zhejiang Lab Hangzhou311121 China Unsw School of Computer Science and Engineering Sydney Australia
Multi-version graph processing has been widely used to solve many real-world problems. The process of the multi-version graph processing typically includes: (1) a history graph version switching at a specific time and... 详细信息
来源: 评论
OpticE: A Coherence Theory-Based Model for Link Prediction  29
OpticE: A Coherence Theory-Based Model for Link Prediction
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29th International Conference on Computational Linguistics, COLING 2022
作者: Gui, Xiangyu Zhao, Feng Jin, Langjunqing Jin, Hai 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 China
Knowledge representation learning is a key step required for link prediction tasks with knowledge graphs (KGs). During the learning process, the semantics of each entity are embedded by a vector or a point in a featur... 详细信息
来源: 评论
FFCI: A Camera and IMU Sensors Based Multi-modal Neural Network for Activity Recognition in Smart Factory
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IEEE Transactions on Consumer Electronics 2025年
作者: Wang, Yujue Niu, Xin Lv, Xianwei Yu, Chen Huazhong University of Science and Technology 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 Wuhan430074 China
Worker activity recognition is an important aspect of the construction of smart factory. The development of deep neural networks and the widespread distribution of sensors in the smart factory have brought opportuniti... 详细信息
来源: 评论
SPViT: Accelerate Vision Transformer Inference on Mobile Devices via Adaptive Splitting and Offloading
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IEEE Transactions on Mobile computing 2025年
作者: Zhao, Sifan Liu, Tongtong Jin, Hai Yao, Dezhong Huazhong University of Science and Technology 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 Wuhan430074 China
The Vision Transformer (ViT), which benefits from utilizing self-attention mechanisms, has demonstrated superior accuracy compared to CNNs. However, due to the expensive computational costs, deploying and inferring Vi... 详细信息
来源: 评论
X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics
X-Stream: A Flexible, Adaptive Video Transformer for Privacy...
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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies
作者: Dou Feng Lin Wang Shutong Chen Lingching Tung Fangming Liu 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 China 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 Paderborn University Germany 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 Guangxi University China 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 Peng Cheng Laboratory China
Video stream analytics (VSA) systems fuel many exciting applications that facilitate people’s lives, but also raise critical concerns about exposing too much individuals’ privacy. To alleviate these concerns, variou... 详细信息
来源: 评论
Fusion of Natural Language and Knowledge Graph for Multi-hop Reasoning  19th
Fusion of Natural Language and Knowledge Graph for Multi-hop...
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19th International Conference on Web Information Systems and Applications, WISA 2022
作者: Lu, Xun Zhao, Feng Jin, Hai 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
Multi-hop reasoning has been widely studied for its important application values in the domain of intelligent search and question answering. Real-world applications are often dominated by natural language input, and i... 详细信息
来源: 评论