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检索条件"机构=Services Computing Technology and System Lab Cluster and Grid Computing"
588 条 记 录,以下是11-20 订阅
排序:
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
Maverick: Personalized Edge-Assisted Federated Learning with Contrastive Training  25
Maverick: Personalized Edge-Assisted Federated Learning with...
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34th ACM Web Conference, WWW 2025
作者: Wang, Kaibin He, Qiang Dong, Zeqian Chen, Rui He, Chuan Chua, Caslon Chen, Feifei Yang, Yun Swinburne University of Technology Melbourne Australia Huazhong University of Science and Technology Wuhan China Deakin University Melbourne Australia National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China
In an edge-assisted federated learning (FL) system, edge servers aggregate the local models from the clients within their coverage areas to produce intermediate models for the production of the global model. This sign... 详细信息
来源: 评论
SaGraph: A Similarity-Aware Hardware Accelerator for Temporal Graph Processing  23
SaGraph: A Similarity-Aware Hardware Accelerator for Tempora...
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Proceedings of the 60th Annual ACM/IEEE Design Automation Conference
作者: Jin Zhao Yu Zhang Jian Cheng Yiyang Wu Chuyue Ye Hui Yu Zhiying Huang Hai Jin Xiaofei Liao Lin Gu Haikun Liu 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 Wuhan China and Zhejiang-HUST Joint Research Center for Graph Processing Zhejiang Lab Hangzhou China 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 Wuhan China
Temporal graph processing is used to handle the snapshots of the temporal graph, which concerns changes in graph over time. Although several software/hardware solutions have been designed for efficient temporal graph ...
来源: 评论
Impulsive Control of Nonlinear Multi-Agent systems: A Hybrid Fuzzy Adaptive and Event-Triggered Strategy
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IEEE Transactions on Fuzzy systems 2025年
作者: Han, Fang Jin, Hai Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Wuhan430074 China
This paper presents a hybrid control approach that integrates an adaptive fuzzy mechanism with an event-triggered impulse strategy to address consensus control challenges in nonlinear Multi-Agent systems (MASs) with u... 详细信息
来源: 评论
A Transformer-Based Spatio-Temporal Graph Neural Network for Anomaly Detection on Dynamic Graphs  12th
A Transformer-Based Spatio-Temporal Graph Neural Network for...
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12th CCF Conference on BigData, BigData 2024
作者: Gao, Yuanjun Zhu, Quntao Shi, Xuanhua 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 Wuhan430074 China
Dynamic graphs have emerged as a pivotal data structure underpinning real-world network applications. Against this backdrop, detecting anomalies in dynamic graphs has become particularly important, serving as a founda... 详细信息
来源: 评论
EdgeThemis: Ensuring Model Integrity for Edge Intelligence  25
EdgeThemis: Ensuring Model Integrity for Edge Intelligence
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34th ACM Web Conference, WWW 2025
作者: Yang, Jiyu He, Qiang Zhou, Zheyu Dai, Xiaohai Chen, Feifei Tian, Cong Yang, Yun Swinburne University of Technology Melbourne Australia Huazhong University of Science and Technology Wuhan China Deakin University Melbourne Australia Xidian University Xi’an China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China
Machine learning (ML) models are widely deployed on edge nodes, such as mobile phones and edge servers, to power a wide range of AI applications over the web. Ensuring the integrity of these edge models is paramount, ... 详细信息
来源: 评论
AccelES: Accelerating Top-K SpMV for Embedding Similarity via Low-bit Pruning
AccelES: Accelerating Top-K SpMV for Embedding Similarity vi...
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IEEE Symposium on High-Performance Computer Architecture
作者: Jiaqi Zhai Xuanhua Shi Kaiyi Huang Chencheng Ye Weifang Hu Bingsheng He Hai Jin 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 School of Computing National University of Singapore Singapore
In the realm of recommendation systems, achieving real-time performance in embedding similarity tasks is often hindered by the limitations of traditional Top-K sparse matrix-vector multiplication (SpMV) methods, which... 详细信息
来源: 评论
Multi-Dimensional Training Optimization for Efficient Federated Synergy Learning
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IEEE Transactions on Mobile computing 2025年
作者: Fu, Shucun Dong, Fang Chen, Runze Shen, Dian Zhang, Jinghui He, Qiang Southeast University School of Computer Science and Engineering Nanjing China 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 Wuhan China
Edge learning (EL) is an end-to-edge collaborative learning paradigm enabling devices to participate in model training and data analysis, opening countless opportunities for edge intelligence. As a promising EL framew... 详细信息
来源: 评论
UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs  25
UICopilot: Automating UI Synthesis via Hierarchical Code Gen...
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34th ACM Web Conference, WWW 2025
作者: Gui, Yi Wan, Yao Li, Zhen Zhang, Zhongyi Chen, Dongping Zhang, Hongyu Su, Yi Chen, Bohua Zhou, Xing Jiang, Wenbin Zhang, Xiangliang Huazhong University of Science and Technology Wuhan China Chongqing University Chongqing China Hubei University of Automotive Technology Shiyan China Rabbitpre AI Shenzhen China University of Notre Dame Notre Dame United States National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster Grid Computing Lab School of Computer Science and Technology China
Automating the synthesis of User Interfaces (UIs) plays a crucial role in enhancing productivity and accelerating the development lifecycle, reducing both development time and manual effort. Recently, the rapid develo... 详细信息
来源: 评论
PSMiner: A Pattern-Aware Accelerator for High-Performance Streaming Graph Pattern Mining  23
PSMiner: A Pattern-Aware Accelerator for High-Performance St...
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Proceedings of the 60th Annual ACM/IEEE Design Automation Conference
作者: Hao Qi Yu Zhang Ligang He Kang Luo Jun Huang Haoyu Lu Jin Zhao Hai Jin 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 Huazhong University of Science and Technology China and Zhejiang-HUST Joint Research Center for Graph Processing Zhejiang Lab China Department of Computer Science University of Warwick United Kingdom
Streaming Graph Pattern Mining (GPM) has been widely used in many application fields. However, the existing streaming GPM solution suffers from many unnecessary explorations and isomorphism tests, while the existing s...
来源: 评论