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检索条件"机构=The Science and Technology on Parallel and Distributed Laboratory"
539 条 记 录,以下是131-140 订阅
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科学研究的第五范式——以智能驱动的材料设计为例
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Engineering 2023年 第5期24卷 126-137,I0003,I0004页
作者: Can Leng Zhuo Tang Yi-Ge Zhou Zean Tian Wei-Qing Huang Jie Liu Keqin Li Kenli Li Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense TechnologyChangsha 410073China Laboratory of Software Engineering for Complex Systems National University of Defense TechnologyChangsha 410073China National Supercomputing Center in Changsha Changsha 410082China College of Computer Science and Electronic Engineering Hunan UniversityChangsha 410082China Institute of Chemical Biology and Nanomedicine State Key Laboratory of Chemo/Biosensing and ChemometricsCollege of Chemistry and Chemical EngineeringHunan UniversityChangsha 410082China Department of Applied Physics School of Physics and ElectronicsHunan UniversityChangsha 410082China Department of Computer Science State University of New YorkNew PaltzNY 12561USA
科学正在进入一个新时代——第五范式——它被认为是知识整合到不同领域的主要特征,是基于无所不在的机器学习系统的计算社区中智能驱动的工作。在此,我们通过在天河一号超级计算机系统上构建的催化材料专门设计的典型平台案例,生动地... 详细信息
来源: 评论
parallelization of Fast Monte Carlo Dose Calculation for Radiotherapy Treatment Planning on the ARMv8 Architecture
Parallelization of Fast Monte Carlo Dose Calculation for Rad...
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International Conference on Information science and technology (ICIST)
作者: Chi Jin Qinglin Wang Yang Zhao Yong Dou Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China
Monte Carlo (MC) simulation plays a key role in radiotherapy. Since the simulation time of the MC program cannot fully meet the clinical requirements, we use the ARM-based FT-2000+ multi-core processor for paralleliza... 详细信息
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Modeling Full Information with Graph Network for Joint Entity-Relation Extraction  21
Modeling Full Information with Graph Network for Joint Entit...
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Proceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence
作者: Qian Wan Luona Wei Xinhai Chen Jie Liu Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology China College of Systems Engineering National University of Defense Technology China Laboratory of Software Engineering for Complex Systems National University of Defense Technology China
Fully capturing contextual information and analyzing the association between entity semantics and type is helpful for joint extraction task: 1) The context can reflect the part of speech and semantics of entity. 2) Th... 详细信息
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A Memory Saving Mechanism Based on Data Transferring for Pipeline parallelism
A Memory Saving Mechanism Based on Data Transferring for Pip...
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IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Wei Jiang Rui Xu Sheng Ma Qiong Wang Xiang Hou Hongyi Lu Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha China
The correctness and robustness of the neural network model are usually proportional to its depth and width. Currently, the neural network models become deeper and wider to cope with complex applications, which leads t... 详细信息
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Feature and Performance Comparison of FaaS Platforms
Feature and Performance Comparison of FaaS Platforms
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IEEE International Conference on Software Engineering and Service sciences (ICSESS)
作者: Penghui Ma Peichang Shi Guodong Yi National Key Laboratory of Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha China Key Laboratory of Software Engineering for Complex Systems 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 serverless computing offering more efficient and cost-effective application deployment, the diversity of serverless platforms presents challenges to users, including platform lock-in and costly migration. Moreove...
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Co-designing the Topology/Algorithm to Accelerate distributed Training
Co-designing the Topology/Algorithm to Accelerate Distribute...
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IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Xiang Hou Rui Xu Sheng Ma Qiong Wang Wei Jiang Hongyi Lu Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha China
With the development of Deep Learning (DL), Deep Neural Network (DNN) models have become more complex. At the same time, the development of the Internet makes it easy to obtain large data sets for DL training. Large-s... 详细信息
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Surrogate Supervision-based Deep Weakly-supervised Anomaly Detection
Surrogate Supervision-based Deep Weakly-supervised Anomaly D...
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IEEE International Conference on Data Mining Workshops (ICDM Workshops)
作者: Zhiyue Wu Hongzuo Xu Yijie Wang Yongjun Wang Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha China
Many anomaly detection applications can provide partially observed anomalies, but only limited work is for this setting. Additionally, a number of anomaly detectors focus on learning a particular model of normal/abnor... 详细信息
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Word Embedding-based Context-sensitive Network Flow Payload Anomaly Detection
Word Embedding-based Context-sensitive Network Flow Payload ...
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International Conference on Applied Machine Learning (ICAML)
作者: Yizhou Li Yijie Wang Li Cheng Hongzuo Xu Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha China
Payload anomaly detection can discover malicious behaviors hidden in network packets. It is hard to handle payload due to its various possible characters and complex semantic context, and thus identifying abnormal pay... 详细信息
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Fden: Mining Effective Information of Features in Detecting Network Anomalies
Fden: Mining Effective Information of Features in Detecting ...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Bin Li Yijie Wang Mingyu Liu Kele Xu Zhongyang Wang Li Cheng Yizhou Li Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha China
Network anomaly detection is important for detecting and reacting to the presence of network attacks. In this paper, we propose a novel method to effectively leverage the features in detecting network anomalies, named... 详细信息
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Deep Isolation Forest for Anomaly Detection
arXiv
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arXiv 2022年
作者: Xu, Hongzuo Pang, Guansong Wang, Yijie Wang, Yongjun The College of Computer National University of Defense Technology Changsha410073 China The Science and Technology on Parallel and Distributed Processing Laboratory China The School of Computing and Information Systems Singapore Management University 178902 Singapore
Isolation forest (iForest) has been emerging as arguably the most popular anomaly detector in recent years due to its general effectiveness across different benchmarks and strong scalability. Nevertheless, its linear ... 详细信息
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