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检索条件"机构=The Science and Technology on Parallel and Distributed Laboratory"
543 条 记 录,以下是11-20 订阅
排序:
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
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
Memory replay with unlabeled data for semi-supervised class-incremental learning via temporal consistency
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Frontiers of Computer science 2025年 第12期19卷 1-4页
作者: Wang, Qiang Xu, Kele Feng, Dawei Ding, Bo Wang, Huaimin National Key Laboratory of Parallel and Distributed Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China
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
Highly parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
arXiv
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arXiv 2025年
作者: He, Zhouyu Qiao, Peng Li, Rongchun Dou, Yong Tan, Yusong College of Computer Science and Technology National University of Defense Technology China National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology China
As the demands for superior agents grow, the training complexity of Deep Reinforcement Learning (DRL) becomes higher. Thus, accelerating training of DRL has become a major research focus. Dividing the DRL training pro... 详细信息
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Graph Structure Learning via Transfer Entropy for Multivariate Time Series Anomaly Detection
Graph Structure Learning via Transfer Entropy for Multivaria...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Mingyu Liu Yijie Wang Xiaohui Zhou Yongjun Wang National Key Laboratory of Parallel and Distributed Computing College of Computer Science and Technology National University of Defense Technology Changsha China College of Computer Science and Technology National University of Defense Technology Changsha China
Multivariate time series anomaly detection (MTAD) poses a challenge due to temporal and feature dependencies. The critical aspects of enhancing the detection performance lie in accurately capturing the dependencies be... 详细信息
来源: 评论
Open source oriented cross-platform survey
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Information and Software technology 2025年 182卷
作者: Yao, Simeng Zhang, Xunhui Zhang, Yang Wang, Tao College of Computer Science and Technology National University of Defense Technology Changsha410073 China State Key Laboratory of Complex & Critical Software Environment Changsha410073 China National Key Laboratory of Parallel and Distributed Computing Changsha410073 China
Context: Open-source software development has become a widely adopted approach to software creation. However, developers’ activities extend beyond social coding platforms (e.g., GitHub), encompassing social Q&A p... 详细信息
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Deep Time Series Anomaly Detection with Local Temporal Pattern Learning
Deep Time Series Anomaly Detection with Local Temporal Patte...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Yizhou Li Yijie Wang Hongzuo Xu Xiaohui Zhou National Key Laboratory of Parallel and Distributed Computing College of Computer Science and Technology National University of Defense Technology Changsha China Intelligent Game and Decision Lab (IGDL) Beijing China
Self-supervised time series anomaly detection (TSAD) demonstrates remarkable performance improvement by extracting high-level data semantics through proxy tasks. Nonetheless, most existing self-supervised TSAD techniq... 详细信息
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A Counterfactual Ultrasound Anti-Interference Self-Supervised Network for B-mode Ultrasound Tongue Extraction
A Counterfactual Ultrasound Anti-Interference Self-Supervise...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Yan Jia Yuqing Cheng Kele Xu Yong Dou Peng Qiao Zhouyu He National Key Laboratory of Parallel and Distributed Computing College of Computer Science and Technology National University of Defense Technology Changsha China College of Systems Engineering National University of Defense Technology Changsha China
B-mode ultrasound tongue imaging is a non-invasive and real-time method for visualizing vocal tract deformation. However, accurately extracting the tongue’s surface contour remains a significant challenge due to the ... 详细信息
来源: 评论