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检索条件"机构=The National Engineering Laboratory for Big Data System Computing Technology"
836 条 记 录,以下是251-260 订阅
排序:
Efficient distributed algorithms for holistic aggregation functions on random regular graphs
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Science China(Information Sciences) 2022年 第5期65卷 32-50页
作者: Lin JIA Qiang-Sheng HUA Haoqiang FAN Qiuping WANG 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 TechnologyHuazhong University of Science and Technology Institute for Interdisciplinary Information Science Tsinghua University
In this paper, we propose efficient distributed algorithms for three holistic aggregation functions on random regular graphs that are good candidates for network topology in next-generation data *** three holistic agg... 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
TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction
TCSloT: Text Guided 3D Context and Slope Aware Triple Networ...
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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
作者: Yang, Xinquan Xie, Jinheng Li, Xuechen Li, Xuguang Shen, Linlin Deng, Yongqiang Shenzhen University College of Computer Science and Software Engineering Shenzhen China National University of Singapore Show Lab Singapore Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen China Shenzhen University General Hospital Department of Stomatology Shenzhen China
In implant prosthesis treatment, the surgical guide of implant is used to ensure accurate implantation. However, such design heavily relies on the manual location of the implant position. When deep neural network has ... 详细信息
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Fake Colorized Image Detection with Channel-wise Convolution based Deep-learning Framework
Fake Colorized Image Detection with Channel-wise Convolution...
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Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)
作者: Long Zhuo Shunquan Tan Jishen Zeng Bin Lit Shenzhen Key Laboratory of Media Security National Engineering Laboratory for Big Data System Computing Technology Shenzhen China
Colorization is one remarkable emerging image manipulating technique, which maybe potentially used for illegal purpose. In this paper, we introduce WISERNet (Wider Separate-then-reunion Network), a recently proposed d... 详细信息
来源: 评论
PERIODICITY DECOUPLING FRAMEWORK FOR LONG-TERM SERIES FORECASTING  12
PERIODICITY DECOUPLING FRAMEWORK FOR LONG-TERM SERIES FORECA...
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12th International Conference on Learning Representations, ICLR 2024
作者: Dai, Tao Wu, Beiliang Liu, Peiyuan Li, Naiqi Bao, Jigang Jiang, Yong Xia, Shu-Tao College of Computer Science and Software Engineering Shenzhen University China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China WeBank Institute of Financial Technology Shenzhen University China
Convolutional neural network (CNN)-based and Transformer-based methods have recently made significant strides in time series forecasting, which excel at modeling local temporal variations or capturing long-term depend... 详细信息
来源: 评论
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
FedMoS: Taming Client Drift in Federated Learning with Double Momentum and Adaptive Selection  42
FedMoS: Taming Client Drift in Federated Learning with Doubl...
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42nd IEEE International Conference on Computer Communications, INFOCOM 2023
作者: Wang, Xiong Chen, Yuxin Li, Yuqing Liao, Xiaofei Jin, Hai Li, Bo Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Wuhan China Wuhan University School of Cyber Science and Engineering Wuhan China Hong Kong University of Science and Technology Department of Computer Science and Engineering Hong Kong
Federated learning (FL) enables massive clients to collaboratively train a global model by aggregating their local updates without disclosing raw data. Communication has become one of the main bottlenecks that prolong... 详细信息
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Cloud detection from visual band of satellite image based on variance of fractal dimension
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Journal of systems engineering and Electronics 2019年 第3期30卷 485-491页
作者: TIAN Pingfang GUANG Qiang LIU Xing School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Intelligent Information Processing and Real-Time Industrial System in Hubei Province Wuhan 430065 China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Rich-Media Knowledge Organization and Service of Digital Publishing Content National Press and Publication Administration Beijing 100038 China
Cover ratio of cloud is a very important factor which affects the quality of a satellite image, therefore cloud detection from satellite images is a necessary step in assessing the image quality. The study on cloud de... 详细信息
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On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities  24
On the Effectiveness of Function-Level Vulnerability Detecto...
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44th ACM/IEEE International Conference on Software engineering, ICSE 2024
作者: Li, Zhen Wang, Ning Zou, Deqing Li, Yating Zhang, Ruqian Xu, Shouhuai Zhang, Chao Jin, Hai Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security Cluster and Grid Computing Lab National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hong Kong Jin YinHu Laboratory Wuhan China School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China University of Colorado Colorado Springs Department of Computer Science Colorado Springs Colorado United States Institute for Network Sciences and Cyberspace Tsinghua University Beijing China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China
Software vulnerabilities are a major cyber threat and it is important to detect them. One important approach to detecting vulnerabilities is to use deep learning while treating a program function as a whole, known as ... 详细信息
来源: 评论
Fast Triangle Counting on GPU
Fast Triangle Counting on GPU
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IEEE Conference on High Performance Extreme computing (HPEC)
作者: Chuangyi Gui Long Zheng Pengcheng Yao Xiaofei Liao Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory Huazhong University of Science and Technology Wuhan China
Triangle counting is one of the most basic graph applications to solve many real-world problems in a wide variety of domains. Exploring the massive parallelism of the Graphics Processing Unit (GPU) to accelerate the t... 详细信息
来源: 评论