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检索条件"机构=Services Computing Technology and System Lab/Big Data Technology"
380 条 记 录,以下是301-310 订阅
排序:
Towards making deep learning-based vulnerability detectors robust
arXiv
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arXiv 2021年
作者: Li, Zhen Tang, Jing Zou, Deqing Chen, Qian Xu, Shouhuai Zhang, Chao Li, Yichen Jin, Hai The National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Big Data Security Engineering Research Center School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan430074 China The University of Texas at San Antonio San AntonioTX78249 United States The University of Colorado Colorado Springs Colorado SpringsCO80918 United States Tsinghua University Beijing100084 China School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan430074 China
Automatically detecting software vulnerabilities in source code is an important problem that has attracted much attention. In particular, deep learning-based vulnerability detectors, or DL-based detectors, are attract... 详细信息
来源: 评论
K-Space-Aware Cross-Modality Score for Quality Assessment of Synthesized Neuroimages
arXiv
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arXiv 2023年
作者: Xie, Guoyang Wang, Jinbao Huang, Yawen Lyu, Jiayi Zheng, Feng Zheng, Yefeng Jin, Yaochu Southern University of Science and Technology Department of Computer Science Shenzhen518055 China CATL Department of Intelligent Manufacturing Ningde352000 China Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen518060 China Tencent Youtu Lab Jarvis Research Center Shenzhen510310 China University of Chinese Academy of Sciences the School of Engineering Science Beijing100049 China Westlake University the School of Engineering Hangzhou310030 China
The problem of how to assess cross-modality medical image synthesis has been largely unexplored. The most used measures like PSNR and SSIM focus on analyzing the structural features but neglect the crucial lesion loca... 详细信息
来源: 评论
Towards Lightweight Serverless computing via Unikernel as a Function
Towards Lightweight Serverless Computing via Unikernel as a ...
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International Workshop on Quality of Service
作者: Bo Tan Haikun Liu Jia Rao Xiaofei Liao Hai Jin Yu Zhang 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 The University of Texas at Arlington
Serverless computing, also known as “Function as a Service (FaaS)”, is emerging as an event-driven paradigm of cloud computing. In the FaaS model, applications are programmed in the form of functions that are execut... 详细信息
来源: 评论
Partitioning large-scale property graph for efficient distributed query processing  21
Partitioning large-scale property graph for efficient distri...
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21st IEEE International Conference on High Performance computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on data Science and systems, HPCC/SmartCity/DSS 2019
作者: Pang, Haohan Gan, Peng Yuan, Pingpeng Jin, Hai Hua, Qiangsheng National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab. Clusters and Grid Computing Lab. School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China
Recently, many communities have published their domain knowledge in the form of graphs. A significant trend is that the relations between pairs of nodes in the graph have become so complex that these data can be treat... 详细信息
来源: 评论
Sparse online relative similarity learning
arXiv
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arXiv 2021年
作者: Yao, Dezhong Zhao, Peilin Yu, Chen Jin, Hai Li, Bin 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 Data Analytics Department Institute for Infocomm Research A*STAR 138632 Singapore Economics and Management School Wuhan University Wuhan430072 China
For many data mining and machine learning tasks, the quality of a similarity measure is the key for their performance. To automatically find a good similarity measure from datasets, metric learning and similarity lear... 详细信息
来源: 评论
On-edge multi-task transfer learning: Model and practice with data-driven task allocation
arXiv
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arXiv 2021年
作者: Zheng, Zimu Chen, Qiong Hu, Chuang Wang, Dan Liu, Fangming The National Engineering Research Center for Big Data Technology and System Key Laboratory of Services Computing Technology and System Ministry of Education School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China The Edge Cloud Innovation Lab. Technical Innovation Department Cloud BU Huawei Technologies Co. Ltd. Shenzhen China The Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong Hong Kong
On edge devices, data scarcity occurs as a common problem where transfer learning serves as a widely-suggested remedy. Nevertheless, transfer learning imposes heavy computation burden to the resource-constrained edge ... 详细信息
来源: 评论
Efficient Hardware-Assisted Crash Consistency in Encrypted Persistent Memory
Efficient Hardware-Assisted Crash Consistency in Encrypted P...
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Design, Automation and Test in Europe Conference and Exhibition
作者: Zhan Zhang Jianhui Yue Xiaofei Liao 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 Computing Science and Technology Huazhong University of Science and Technology Wuhan China Computer Science Department Michigan Technological University Houghton Michigan
The persistent memory (PM) requires maintaining the crash consistency and encrypting data, to ensure data recoverability and data confidentiality. The enforcement of these two goals does not only put more burden on pr... 详细信息
来源: 评论
µVulDeePecker: A deep learning-based system for multiclass vulnerability detection
arXiv
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arXiv 2020年
作者: Zou, Deqing Wang, Sujuan Xu, Shouhuai Li, Zhen Jin, Hai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Big Data Security Engineering Research Center School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan430074 China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen518057 China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Big Data Security Engineering Research Center School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China Department of Computer Science University of Texas at San Antonio San AntonioTX78249 United States
Fine-grained software vulnerability detection is an important and challenging problem. Ideally, a detection system (or detector) not only should be able to detect whether or not a program contains vulnerabilities, but... 详细信息
来源: 评论
Collaborative wi-fi fingerprinting indoor positioning using near relation  24
Collaborative wi-fi fingerprinting indoor positioning using ...
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2020 24th ISPRS Congress - Technical Commission IV on Spatial Information Science
作者: Wang, Y. Wang, W. Li, X. Zhang, W. Guo, R. National Engineering Laboratory for Big Data System Computing Technology Guangdong Key Laboratory of Urban Informatics Shenzhen Key Laboratory of Spatial Smart Sensing and Services Research Institute for Smart Cities School of Architecture and Urban Planning Shenzhen University Shenzhen China
Indoor positioning is of great importance to the era of mobile computing. Currently, much attention has been paid to RSS-based location for that it can provide position information without additional equipment. Howeve... 详细信息
来源: 评论
A Heterogeneous PIM Hardware-Software Co-Design for Energy-Efficient Graph Processing
A Heterogeneous PIM Hardware-Software Co-Design for Energy-E...
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International Symposium on Parallel and Distributed Processing (IPDPS)
作者: Yu Huang Long Zheng Pengcheng Yao Jieshan Zhao Xiaofei Liao Hai Jin Jingling Xue National Engineering Research Center for Big Data Technology and System/Service Computing Technology and System Lab/Cluster and Grid Computing Lab Huazhong University of Science and Technology China UNSW Sydney Australia
Processing-In-Memory (PIM) is an emerging technology that addresses the memory bottleneck of graph processing. In general, analog memristor-based PIM promises high parallelism provided that the underlying matrix-struc... 详细信息
来源: 评论