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检索条件"机构=Cluster and Grid Computing Lab"
552 条 记 录,以下是41-50 订阅
排序:
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
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
Semantic Reasoning Technology on Temporal Knowledge Graph  19th
Semantic Reasoning Technology on Temporal Knowledge Graph
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19th International Conference on Web Information Systems and Applications, WISA 2022
作者: Li, Jianuo 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
Semantic reasoning techniques based on knowledge graphs have been widely studied since they were proposed. Previous studies are mostly based on closed-world assumptions, which cannot reason about unknown facts. To thi... 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
Commonsense Knowledge Construction with Concept and Pretrained Model  19th
Commonsense Knowledge Construction with Concept and Pretrain...
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19th International Conference on Web Information Systems and Applications, WISA 2022
作者: Cai, Hanjun 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
Commonsense knowledge (CSK) is the information that people use in daily life but do not often mention. It summarizes the practical knowledge about how the world works. Existing machines have knowledge but lack commons... 详细信息
来源: 评论
RGraph: Asynchronous graph processing based on asymmetry of remote direct memory access
RGraph: Asynchronous graph processing based on asymmetry of ...
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作者: Chen, Hanhua Yuan, Jie Jin, Hai Wang, Yonghui Wu, Sijie Jiang, Zhihao National Engineering Research Center for Big Data Technology and System Cluster and Grid Computing Lab Services Computing Technology and System Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China
The scale of real-world graphs is constantly growing. To deal with large-scale graphs, distributed graph processing has attracted much research efforts. Existing distributed graph processing systems are commonly built... 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
MeG2: In-Memory Acceleration for Genome Graphs Analysis  23
MeG2: In-Memory Acceleration for Genome Graphs Analysis
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Proceedings of the 60th Annual ACM/IEEE Design Automation Conference
作者: Yu Huang Long Zheng Haifeng Liu Zhuoran Zhou Dan Chen Pengcheng Yao Qinggang Wang Xiaofei Liao Hai Jin National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Laboratory Huazhong University of Science and Technology Wuhan China and Zhejiang Lab Hangzhou China National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Laboratory Huazhong University of Science and Technology Wuhan China
Genome graphs analysis has emerged as an effective means to enable mapping DNA fragments (known as reads) to the reference genome. It replaces the traditional linear reference with a graph-based representation to augm...
来源: 评论