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检索条件"机构=National Engineering Laboratory For Big Data Analysis and Applications"
437 条 记 录,以下是131-140 订阅
排序:
bbTopk: Bandwidth-Aware Sparse Allreduce with Blocked Sparsification for Efficient Distributed Training
bbTopk: Bandwidth-Aware Sparse Allreduce with Blocked Sparsi...
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International Conference on Distributed Computing Systems
作者: Chang Chen Min Li Chao Yang Center for Data Science Peking University School of Mathematics Sciences Peking University National Engineering Laboratory for Big Data Analysis and Applications Peking University PKU-Changsha Institute for Computing and Digital Economy
Communication overhead is one of the major bottlenecks for large-scale distributed model training. Sparse gradient has been proposed to reduce the communication volume dramatically without affecting the model accuracy...
来源: 评论
A New Approach to the Position of Acupoints on the Back of Humans
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Recent Patents on Mechanical engineering 2023年 第2期16卷 150-162页
作者: Xie, Shenglong Liu, Zijing Zhang, Liangan Song, Fengfeng Key Laboratory of Intelligent Manufacturing Quality Big Data Tracking and Analysis of Zhejiang Province China Jiliang University Zhejiang Hangzhou310018 China Anhui Engineering Laboratory for Intelligent Applications and Security of Industrial Internet Anhui University of Technology Anhui Ma’anshan243032 China Hangzhou Qiandaohu Ruichun Robot Research Institute Co. Ltd Zhejiang Hangzhou310018 China Zhejiang Shusi Robot Co. Ltd Zhejiang Huzhou313000 China
Aim: In order to realize the position of acupoints on the back of humans, a new acupoints positioning approach combined with machine vision technology is proposed in this paper. Background: The acupuncture point (acup... 详细信息
来源: 评论
data Preprocessing Technology in Network Traffic Anomaly Detection
Data Preprocessing Technology in Network Traffic Anomaly Det...
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作者: Duan, Xueyuan Fu, Yu Wang, Kun Department of Information Security Naval University of Engineering Wuhan430033 China College of Computer and Information Technology Xinyang Normal University Xinyang464000 China Henan Key Laboratory of Analysis and Applications of Education Big Data Xinyang464000 China School of Mathematics and Information Engineering Xinyang Vocational and Technical College Xinyang464000 China
Computer network plays a very important role in today’s world. With the development of network technology and the increasing popularity of network topology, network management is facing huge challenges. Among them, f... 详细信息
来源: 评论
Model Degradation Hinders Deep Graph Neural Networks
arXiv
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arXiv 2022年
作者: Zhang, Wentao Sheng, Zeang Yin, Ziqi Jiang, Yuezihan Xia, Yikuan Gao, Jun Yang, Zhi Cui, Bin School of CS & Key Laboratory of High Confidence Software Technologies Peking University China Center for Data Science Peking University National Engineering Laboratory for Big Data Analysis and Applications China Beijing Institute of Technology China
Graph Neural Networks (GNNs) have achieved great success in various graph mining tasks. However, drastic performance degradation is always observed when a GNN is stacked with many layers. As a result, most GNNs only h... 详细信息
来源: 评论
A Dynamic Acceleration Method for Remote Sensing Image Processing Based on CUDA  12th
A Dynamic Acceleration Method for Remote Sensing Image Proce...
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12th EAI International Conference on Simulation Tools and Techniques, SIMUtools 2020
作者: Zuo, Xianyu Zhang, Zhe Qiao, Baojun Tian, Junfeng Zhou, Liming Zhang, Yunzhou Henan Key Laboratory of Big Data Analysis and Processing Henan University Kaifeng475004 China Henan Engineering Laboratory of Spatial Information Processing Henan University Kaifeng475004 China College of Computer and Information Engineering Henan University Kaifeng475004 China National Cultural Heritage Administration Beijing100010 China
The incredible increase in the volume of remote sensing data has made the concept of Remote Sensing as big data reality with recent technological developments. Remote sensing image processing is characterized with fea... 详细信息
来源: 评论
Mean-field theory for the Nagel-Schreckenberg model with overtaking strategy  5
Mean-field theory for the Nagel-Schreckenberg model with ove...
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5th International Workshop on Statistical Physics and Mathematics for Complex Systems, SPMCS 2017
作者: Su, Zhu Deng, Weibing Han, Jihui Li, Wei Cai, Xu National Engineering Laboratory for Technology of Big Data Applications in Education Central China Normal University Wuhan China Complexity Science Center Institute of Particle Physics Central China Normal University Wuhan China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou China
Based on the Nagel-Schreckenberg (NS) model with periodic boundary conditions, a modified model considered overtaking strategy (NSOS) has been proposed [1, 2]. In this paper, we focus on the theoretical analysis of tr... 详细信息
来源: 评论
HET: Scaling out huge embedding model training via cache-enabled distributed framework
arXiv
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arXiv 2021年
作者: Miao, Xupeng Zhang, Hailin Shi, Yining Nie, Xiaonan Yang, Zhi Tao, Yangyu Cui, Bin Peking University China Institute of Computational Social Science Peking University Qingdao China Tencent Inc Center for Data Science Peking University National Engineering Laboratory for Big Data Analysis and Applications China
Embedding models have been an effective learning paradigm for high-dimensional data. However, one open issue of embedding models is that their representations (latent factors) often result in large parameter space. We... 详细信息
来源: 评论
A Heuristic Method for Route Programming in Puzzle-Based Energy Storage Systems
A Heuristic Method for Route Programming in Puzzle-Based Ene...
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IEEE Conference on Energy Internet and Energy System Integration (EI2)
作者: Yang Zou Jianxiao Wang School of Engineering Peking University Beijing China National Engineering Laboratory for Big Data Analysis and Applications Peking University Beijing China Peking University Ordos Research Institute of Energy Ordos China
Recently, many energy storage-related enterprises have been facing difficulties brought out by the limitation of land and the increase in loan cost. As a promising approach to improving space utilization rate, puzzle-...
来源: 评论
INFORMATION GAIN PROPAGATION: A NEW WAY TO GRAPH ACTIVE LEARNING WITH SOFT LABELS
arXiv
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arXiv 2022年
作者: Zhang, Wentao Wang, Yexin You, Zhenbang Cao, Meng Huang, Ping Shan, Jiulong Yang, Zhi Cui, Bin School of CS Peking University China Apple United States National Engineering Laboratory for Big Data Analysis and Applications Institute of Computational Social Science Peking University Qingdao China
Graph Neural Networks (GNNs) have achieved great success in various tasks, but their performance highly relies on a large number of labeled nodes, which typically requires considerable human effort. GNN-based Active L... 详细信息
来源: 评论
Bayesian Optimization of Double-SAC Robotic Arm Path Planning Using Recent Prioritized Experience Replay  5
Bayesian Optimization of Double-SAC Robotic Arm Path Plannin...
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5th World Robot Conference Symposium on Advanced Robotics and Automation, WRC SARA 2023
作者: Yuan, Shuai Wen, Ke Zhang, Feng Xiong, Jianqiang Shenyang Jianzhu University Liaoning Province Big Data Management and Analysis Laboratory of Urban Construction Shenyang Branch of National Special Computer Engineering Technology Research Center School of Computer Science and Engineering Shengyang110168 China Shenyang Jianzhu University School of Electrical and Control Engineering Shengyang110168 China
As for the path planning of robotic arms, Deep Reinforcement Learning (DRL) algorithms have recently been developed. However, the high-dimensional action space and state space will result in reward sparsity and low tr... 详细信息
来源: 评论