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检索条件"机构=National Laboratory of Parallel and Distributed Processing School of Computer"
658 条 记 录,以下是31-40 订阅
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Asycome: A JointCloud Data Asynchronous Collaboration Mechanism Based on Blockchain  3rd
Asycome: A JointCloud Data Asynchronous Collaboration Mechan...
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3rd International Conference on Blockchain and Trustworthy Systems, Blocksys 2021
作者: Li, Linhui Shi, Peichang Fu, Xiang Zhang, Shengtian Zhong, Tao Chen, Ming National Key Laboratory of Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha410073 China
In the Internet of Everything (IoE), due to its issues of complexity and heterogeneity, message delay cannot be guaranteed, and it is not enough to leverage a centralized model for data collaboration. By leveraging th... 详细信息
来源: 评论
Area-NeRF: Area-based Neural Radiance Fields
Area-NeRF: Area-based Neural Radiance Fields
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Image processing, computer Vision and Machine Learning (ICICML), International Conference on
作者: Zonxin Ye Wenyu Li Peng Qiao Yong Dou National Key Laboratory of Parallel and Distributed Computing School of Computer National University of Defense Technology Changsha China
Neural Radiance Field (NeRF) has received widespread attention for its photo-realistic novel view synthesis quality. Current methods mainly represent the scene based on point sampling of ray casting, ignoring the infl...
来源: 评论
Ladder: A Blockchain Model of Low-Overhead Storage  3rd
Ladder: A Blockchain Model of Low-Overhead Storage
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3rd International Conference on Blockchain and Trustworthy Systems, Blocksys 2021
作者: Chen, Peng Zhang, Xunhui Liu, Hui Xiang, Liangliang Shi, Peichang National Key Laboratory of Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha410073 China
Emerging blockchain accounting mechanism allow mutually distributed parties to transport trusted information and ensure the correctness of data. Every blockchain node stores the complete block locally. Although this m... 详细信息
来源: 评论
TeeSwap: Private Data Exchange using Smart Contract and Trusted Execution Environment  23
TeeSwap: Private Data Exchange using Smart Contract and Trus...
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23rd IEEE International Conference on High Performance Computing and Communications, 7th IEEE International Conference on Data Science and Systems, 19th IEEE International Conference on Smart City and 7th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021
作者: Chen, Peng Shi, Peichang Xu, Jie Fu, Xiang Li, Linhui Zhong, Tao Xiang, Liangliang Kong, Jinzhu College of Computer National University of Defense Technology National Key Laboratory of Parallel and Distributed Processing Changsha410073 China Zhejiang Lab Hangzhou311100 China Kylin Software Co. Ltd Changsha410073 China
With importance of data value is approved, data-sharing will create more and greater value has become consensus. However, data exchange has to use a trusted third party(TTP) as an intermediary in an untrusted network ... 详细信息
来源: 评论
An empirical study on the structure evolution of deep learning models: taking SAR image processing a case study
An empirical study on the structure evolution of deep learni...
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IEEE International Conference on Joint Cloud Computing (JCC)
作者: Huanxi Liu Xiang He Dawei Feng Han Bao National Laboratory for Parallel and Distributed Processing (PDL) National University of Defense Technology China School of Information and Communication National University of Defense Technology China
With the continuous improvement on model performance, deep learning models have been widely deployed and achieved promising outcomes in various fields in recent years. However, due to the escalating volumes of trainin...
来源: 评论
Offline Imitation Learning Using Reward-free Exploratory Data  22
Offline Imitation Learning Using Reward-free Exploratory Dat...
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Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence
作者: Hao Wang Dawei Feng Bo Ding Wei Li College of Computer National University of Defense Technology China National Laboratory for Parallel and Distributed Processing National University of Defense Technology China Independent Researcher China
Offline imitative learning(OIL) is often used to solve complex continuous decision-making tasks. For these tasks such as robot control, automatic driving and etc., it is either difficult to design an effective reward ... 详细信息
来源: 评论
Bi-Objective Scheduling Algorithm for Hybrid Workflow in JointCloud
Bi-Objective Scheduling Algorithm for Hybrid Workflow in Joi...
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IEEE International Conference on Joint Cloud Computing (JCC)
作者: Rui Li Huaimin Wang Peichang Shi National Key Laboratory of Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha China State Key Laboratory of Complex & Critica Software Environment College of Computer Science National University of Defense Technology Changsha China
Big data workflows are widely used in IoT, recommended systems, and real-time vision applications, and they continue to grow in complexity. These hybrid workflows consist of both resource-intensive batch jobs and late... 详细信息
来源: 评论
Sparse Matrix Reordering Method Selection with parallel Computing and Deep Learning
Sparse Matrix Reordering Method Selection with Parallel Comp...
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International Joint Conference on Neural Networks (IJCNN)
作者: Rui Xia Jihu Guo Huajian Zhang Shun Yang Qinglin Wang Jie Liu College of Computer Science and Techonology National University of Defense Technology Changsha China Laboratory of Digitizing Software for Frontier Equipment National University of Defense Technology Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology
Sparse matrix reordering is an important step in Cholesky decomposition. By reordering the rows and columns of the matrix, the time of computation and storage cost can be greatly reduced. With the proposal of various ... 详细信息
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F3A: Fairness-Aware AI-Workloads Allocation Considering Multidimensional User Demands in JointCloud
F3A: Fairness-Aware AI-Workloads Allocation Considering Mult...
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IEEE International Conference on Joint Cloud Computing (JCC)
作者: Jiacheng Yang Guodong Yi Fei Gao Peichang Shi Huaimin Wang National Key Laboratory of Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha China Xiangjiang Lab Changsha China School of Advanced Interdisciplinary Studies Hunan University Of Technology and Business Changsha China
With the rapid growth of large language models, cloud computing has become an indispensable component of the AI industry. Cloud service providers(CSPs) are establishing AI data centers to service AI workloads. In the ... 详细信息
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Quality evaluation of airfoil hybrid mesh based on graph neural network  19th
Quality evaluation of airfoil hybrid mesh based on graph neu...
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19th Chinese Intelligent Systems Conference, CISC 2023
作者: Wang, Huaiqing Pang, Yufei Xiao, Sumei Wang, Zhichao School of Manufacturing Science and Engineering Southwest University of Science and Technology Mianyang621010 China Computational Aerodynamics Istitute China Aerodynamics Research and Development Center Mianyang621010 China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China
In airfoil numerical simulation, the mesh quality has an important influence on the accuracy and error of numerical simulation. The existing mesh quality evaluation requires a lot of manual interaction, which greatly ... 详细信息
来源: 评论