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检索条件"机构=The Science and Technology on Parallel and Distributed Laboratory"
538 条 记 录,以下是21-30 订阅
排序:
Searching Latent Sub-Goals in Hierarchical Reinforcement Learning as Riemannian Manifold Optimization
Searching Latent Sub-Goals in Hierarchical Reinforcement Lea...
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2022 IEEE International Conference on Multimedia and Expo, ICME 2022
作者: Liu, Sidun Qiao, Peng Dou, Yong Jin, Ruochun National University of Defense Technology Science and Technology on Parallel and Distributed Laboratory Hunan China
Hierarchical Reinforcement Learning (HRL) is promising to tackle the long-term sparse reward problem. However, goal conditioned HRL, which decomposes the goal into a series of sub-goals, suffers from sub-goal search i... 详细信息
来源: 评论
Factorization Machine-based Unsupervised Model Selection Method
Factorization Machine-based Unsupervised Model Selection Met...
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2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022
作者: Zhang, Ruyi Wang, Yijie Xu, Hongzuo Zhou, Haifang National University of Defense Technology Science and Technology on Parallel and Distributed Processing Laboratory China
Machine learning is broadly used in many intelligent cybernetic systems. With the burgeoning of the communities of AI, the number of machine learning-based models is rapidly increasing, but picking a suitable and opti... 详细信息
来源: 评论
MARO: Enabling Full MPI Automatic Refactoring in DSL-Based Programming Framework  24th
MARO: Enabling Full MPI Automatic Refactoring in DSL-Based ...
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24th International Conference on Algorithms and Architectures for parallel Processing, ICA3PP 2024
作者: Lei, Tong Chen, Zongjing Che, Yonggang Xu, Chuanfu Laboratory of Digitizing Software for Frontier Equipment National University of Defense Technology Changsha410073 China National Key Laboratory of Parallel and Distributed Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China
Currently, the landscape of computer hardware architecture presents the characteristics of heterogeneity and diversity, prompting widespread attention to cross-platform portable parallel programming techniques. Most e... 详细信息
来源: 评论
YFLM: An Improved Levenberg-Marquardt Algorithm for Global Bundle Adjustment  41st
YFLM: An Improved Levenberg-Marquardt Algorithm for Global ...
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41st Computer Graphics International Conference, CGI 2024
作者: Peng, Jiaxin Li, Tao Jiang, Qin Liu, Jie Wang, Ruibo Laboratory of Software Engineering for Complex Systems School of Computer Science National University of Defense Technology Hunan Changsha410073 China Parallel and Distributed Processing Laboratory School of Computer Science National University of Defense Technology Hunan Changsha410073 China
The conventional Levenberg-Marquardt (LM) algorithm is a state-of-the-art trust-region optimization method for solving bundle adjustment problems in the Structure-from-Motion community, which not only takes advantage ... 详细信息
来源: 评论
A Connectivity-Enhanced Multi-Task Learning based on Anatomical Priors for 3D Class-Balanced Pulmonary Airway Segmentation
A Connectivity-Enhanced Multi-Task Learning based on Anatomi...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Jia, Yan Dou, Yong Qiao, Peng Cheng, Yuqing Xu, Kele He, Zhouyu National University of Defense Technology National Key Laboratory of Parallel and Distributed Computing College of Computer Science and Technology Changsha China National University of Defense Technology College of Systems Engineering Changsha China
Accurate and efficient airway segmentation is essential for evaluating pulmonary diseases, aiding diagnosis, reducing the preoperative burden of airway identification, and minimizing patient discomfort during prolonge... 详细信息
来源: 评论
DMSA: Decentralized and Multi-keyword Selective Data Sharing and Acquisition  22
DMSA: Decentralized and Multi-keyword Selective Data Sharing...
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22nd IEEE International Symposium on parallel and distributed Processing with Applications, ISPA 2024
作者: Lin, Moheng Shi, Peichang Fu, Xiang Jiang, Feng Yi, Guodong National University of Defense Technology National Key Laboratory of Parallel and Distributed Computing College of Computer Science Changsha410073 China Xiangjiang Lab Changsha410073 China
Blockchain technology has been extensively uti-lized in decentralized data-sharing applications, with the immutability of blockchain providing a witness for the circulation of data. However, current blockchain data-sh... 详细信息
来源: 评论
Optimizing Yinyang K-Means Algorithm on ARMv8 Many-Core CPUs  22nd
Optimizing Yinyang K-Means Algorithm on ARMv8 Many-Core CPU...
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22nd International Conference on Algorithms and Architectures for parallel Processing, ICA3PP 2022
作者: Zhou, Tianyang Wang, Qinglin Yin, Shangfei Hao, Ruochen Liu, Jie Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China School of Computer Science National University of Defense Technology Changsha410073 China
K-Means algorithm is one of the most common clustering algorithms widely applied in various data analysis applications. Yinyang K-Means algorithm is a popular enhanced K-Means algorithm that avoids most unnecessary ca... 详细信息
来源: 评论
Partial Order-centered Hyperbolic Representation Learning for Few-shot Relation Extraction  31
Partial Order-centered Hyperbolic Representation Learning fo...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Hu, Biao Huang, Zhen Hu, Minghao Yang, Pinglv Qiao, Peng Dou, Yong Wang, Zhilin National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology China Center of Information Research Academy of Military Science China College of Meteorology and Oceanology National University of Defense Technology China
Prototype network-based methods have made substantial progress in few-shot relation extraction (FSRE) by enhancing relation prototypes with relation descriptions. However, the distribution of relations and instances i... 详细信息
来源: 评论
Fast flow field prediction of pollutant leakage diffusion based on deep learning
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Environmental science and Pollution Research 2024年 第36期31卷 49393-49412页
作者: YunBo, Wan Zhong, Zhao Jie, Liu KuiJun, Zuo Yong, Zhang Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China Computational Aerodynamics Institute China Aerodynamics Research and Development Center Mianyang621000 China Laboratory of Digitizing Software for Frontier Equipment National University of Defense Technology Changsha410073 China School of Aeronautics Northwestern Polytechnical University Xi’an710072 China
Abstract: Predicting pollutant leakage and diffusion processes is crucial for ensuring people’s safety. While the deep learning method offers high simulation efficiency and superior generalization, there is currently... 详细信息
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Large-scale parallel exact diagonalization algorithm of the Hubbard model on Tianhe-2 supercomputer  22
Large-scale parallel exact diagonalization algorithm of the ...
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6th International Conference on High Performance Compilation, Computing and Communications, HP3C 2022
作者: Li, Biao Liu, Jie Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Hunan Changsha China
We propose a parallel exact diagonalization method for solving the large-scale Hubbard model. The core of this algorithm is the parallelization of the Lanczos algorithm, for which we propose a hierarchical communicati... 详细信息
来源: 评论