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检索条件"机构=Laboratory for Parallel and Distributed Computing"
308 条 记 录,以下是51-60 订阅
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DMSA: Decentralized and Multi-keyword Selective Data Sharing and Acquisition
DMSA: Decentralized and Multi-keyword Selective Data Sharing...
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International Symposium on parallel and distributed Processing with Applications, ISPA
作者: Moheng Lin Peichang Shi Xiang Fu Feng Jiang Guodong Yi National Key Laboratory of Parallel and Distributed Computing College of Computer Science National University of Defense Technology Changsha China Xiangjiang Lab Changsha 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
OLM2: Automatic Optimal Strategy Generating for Large-Scale Model Training with Limited-Memory
OLM2: Automatic Optimal Strategy Generating for Large-Scale ...
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IEEE International Conference on Joint Cloud computing (JCC)
作者: Zhilin Yang Yu Tang Linbo Qiao Xi Yang Zhen Huang National Key Laboratory of Parallel and Distributed Computing College of Computer Science National University of Defense Technology Changsha 410073 China
The scale of model parameters and the amount of training data is exponentially increasing. It requires more GPU memory with the exponential increasement of model parameters. Recomputation and swapping are two main mem...
来源: 评论
KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion
arXiv
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arXiv 2024年
作者: Wang, Yilin Hu, Minghao Huang, Zhen Li, Dongsheng Yang, Dong Lu, Xicheng Defense Innovation Institute Academy of Military Sciences China Information Research Center of Military Science China National Key Laboratory of Parallel and Distributed Computing China
The goal of knowledge graph completion (KGC) is to predict missing facts among entities. Previous methods for KGC re-ranking are mostly built on non-generative language models to obtain the probability of each candida... 详细信息
来源: 评论
Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning
arXiv
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arXiv 2024年
作者: He, Yongquan Huang, Xuancheng Tang, Minghao Meng, Lingxun Li, Xiang Lin, Wei Zhang, Wenyuan Gao, Yifu Meituan China Institute of Information Engineering Chinese Academy of Sciences China National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology China
Instruction tuning for large language models (LLMs) can drive them to produce results consistent with human goals in specific downstream tasks. However, the process of continual instruction tuning (CIT) for LLMs may b... 详细信息
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A Survey on Talking Head Generation: The Methods, Status and Challenges
SSRN
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SSRN 2023年
作者: Cai, Yali Qiao, Peng Li, Dongsheng National Key Laboratory of Parallel and Distributed Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China
The talking head generation aims to synthesize a speech video of the source identity from a driving video or audio or text data irrelevant to the source identity. It can not only be applied to games and virtual realit... 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 New Method for Evaluating Core Developers In Open Source Software  13
A New Method for Evaluating Core Developers In Open Source S...
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13th IEEE International Conference on Software Engineering and Service Science, ICSESS 2022
作者: Song, Yulin Wang, Tao Shen, Yang Chang, Junsheng National University of Defense Technology National Laboratory for Parallel and Distributed Processing Hunan Province Changsha China National University of Defense Technology Institute for Quantum Information State Key Laboratory of High Performance Computing Hunan Province Changsha China
The high-quality development of Open Source Software(OSS) benefits from the contributions of developers. An important research question is how to truly assess the extent of contribution of all developers in open sourc... 详细信息
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Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification
arXiv
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arXiv 2023年
作者: Lu, Menglong Huang, Zhen Tian, Zhiliang Zhao, Yunxiang Fei, Xuanyu Li, Dongsheng National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology China Beijing Institute of Biotechnology China Suiren Information China
Text classification is a fundamental task for natural language processing, and adapting text classification models across domains has broad applications. Self-training generates pseudo-examples from the model’s predi... 详细信息
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XGrad: Boosting Gradient-Based Optimizers With Weight Prediction
arXiv
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arXiv 2023年
作者: Guan, Lei Li, Dongsheng Shi, Yanqi Meng, Jian The Department of Mathematics National University of Defense Technology Changsha China The National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology China
In this paper, we propose a general deep learning training framework XGrad which introduces weight prediction into the popular gradient-based optimizers to boost their convergence and generalization when training the ... 详细信息
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PTQ-SO: A Scale Optimization-based Approach for Post-training Quantization of Edge computing
PTQ-SO: A Scale Optimization-based Approach for Post-trainin...
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International Conference on Computer Supported Cooperative Work in Design
作者: Kangkang Liu Ningjiang Chen College of Computer and Electronic Information Guangxi University Nanning China Education Department of Guangxi Zhuang Autonomous Region Key Laboratory of Parallel Distributed and Intelligent Computing Guangxi University Nanning China
With the increasing performance of deep convolutional neural networks, they have been widely used in many computer vision tasks. However, a huge convolutional neural network model requires a lot of memory and computin... 详细信息
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