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检索条件"机构=The Science and Technology on Paraller and Distributed Processing Laboratory"
439 条 记 录,以下是21-30 订阅
排序:
A relative coordinate based distributed sparse-preserving matrix factorization approach towards self-stabilizing network location service - Withdrawn
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IEEE Transactions on Parallel and distributed Systems 2023年 1-1页
作者: Fu, Yongquan Wang, Yijie Pei, Xiaoqiang Li, Xiaoyong Science and Technology Laboratory of Parallel and Distributed Processing National University of Defense Technology China
Withdrawn. IEEE
来源: 评论
High-performance Network Traffic Classification Based on Graph Neural Network  6
High-performance Network Traffic Classification Based on Gra...
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6th IEEE Information technology, Networking, Electronic and Automation Control Conference, ITNEC 2023
作者: Pang, Bo Fu, Yongquan Ren, Siyuan Jia, Yan Harbin Institute of Technology College of Computer Science and Technology Shenzhen China National University of Defense Technology National Key Laboratory for Parallel and Distributed Processing College of Computer Changsha China Peng Cheng Laboratory Shen Zhen China
Network traffic classification is crucial for network security and network management and is one of the most important network tasks. Current state-of-the-art traffic classifiers are based on deep learning models to a... 详细信息
来源: 评论
Optimizing Depthwise Convolutions on ARMv8 Architecture  23rd
Optimizing Depthwise Convolutions on ARMv8 Architecture
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23rd International Conference on Parallel and distributed Computing, Applications, and Technologies, PDCAT 2022
作者: Hao, Ruochen Wang, Qinglin Yin, Shangfei Zhou, Tianyang Zhang, Qingyang Mei, Songzhu Shen, Siqi Liu, Jie Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China College of Computer National University of Defense Technology Changsha410073 China Xiamen University Xiamen China
Depthwise convolutions are widely used in lightweight convolutional neural networks (CNNs). The performance of depthwise convolutions is mainly bounded by the memory access rather than the arithmetic operations for cl... 详细信息
来源: 评论
Adaptive Self-Supervised Continual Learning  26
Adaptive Self-Supervised Continual Learning
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26th European Conference on Artificial Intelligence, ECAI 2023
作者: Wu, Lilei Wang, Zhen Liu, Jie Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China Laboratory of Digitizing Software for Frontier Equipment National University of Defense Technology Changsha410073 China Tsinghua University Beijing100084 China
Continual Learning (CL) studies the problem of developing a robust model that can learn new tasks while retaining previously learned knowledge. However, the current CL methods exclusively focus on data with annotation...
来源: 评论
Transformer in reinforcement learning for decision-making:a survey
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Frontiers of Information technology & Electronic Engineering 2024年 第6期25卷 763-790页
作者: Weilin YUAN Jiaxing CHEN Shaofei CHEN Dawei FENG Zhenzhen HU Peng LI Weiwei ZHAO College of Information and Communication National University of Defense TechnologyWuhan 430014China College of Intelligence Science and Technology National University of Defense TechnologyChangsha 410072China Laboratory for Parallel and Distributed Processing National University of Defense TechnologyChangsha 410072China
Reinforcement learning(RL)has become a dominant decision-making paradigm and has achieved notable success in many real-world ***,deep neural networks play a crucial role in unlocking RL’s potential in large-scale dec... 详细信息
来源: 评论
MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation
arXiv
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arXiv 2025年
作者: Xiao, Jing Chen, Xinhai Peng, Jiaming Wang, Qingling Liu, Jie Laboratory of Digitizing Software for Frontier Equipment Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China
Mesh generation plays a crucial role in scientific computing. Traditional mesh generation methods, such as TFI and PDE-based methods, often struggle to achieve a balance between efficiency and mesh quality. To address... 详细信息
来源: 评论
Evaluating matrix multiplication-based convolution algorithm on multi-core digital signal processors
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Guofang Keji Daxue Xuebao/Journal of National University of Defense technology 2023年 第1期45卷 86-94页
作者: Wang, Qinglin Pei, Xiangdong Liao, Linyu Wang, Haoxu Li, Rongchun Mei, Songzhu Li, Dongsheng College of Computer Science and Technology National University of Defense Technology Changsha410073 China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China
The matrix multiplication-based convolutional algorithm, which can efficiently implement convolutions with different parameters, is the first choice of convolution performance optimization for a given chip. Based on t... 详细信息
来源: 评论
Adversarial Attack and Defense for Transductive Support Vector Machine
Adversarial Attack and Defense for Transductive Support Vect...
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International Joint Conference on Neural Networks (IJCNN)
作者: Li Liu Haiyan Chen Changchun Yin Liming Fang College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics China Science and Technology on Parallel and Distributed Processing Laboratory (PDL) China
As a classic semi-supervised approach, the Transductive Support Vector Machine (TSVM) has exhibited remarkable accuracy by utilizing unlabeled data. However, the robustness of TSVM against adversarial attacks remains ... 详细信息
来源: 评论
A neuro-genetic approach for inferring gene regulatory networks from gene expression data  22
A neuro-genetic approach for inferring gene regulatory netwo...
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Proceedings of the 9th International Conference on Bioinformatics Research and Applications
作者: Guo Mao Zhengbin Pang Jie Liu Ke Zuo Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology China
Accurate prediction of gene regulation rules is important for understanding complex life processes. Existing computational algorithms designed for bulk transcriptome datasets typically require a large number of time p... 详细信息
来源: 评论
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