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Representation learning on textual network with personalized Page Rank

Science China(Information Sciences) 2021年第11期64卷 95-104页

作者： Teng LI Yong DOU National Laboratory for Parallel and Distributed Processing National University of Defense Technology

Representation learning on textual network or textual network embedding, which leverages rich textual information associated with the network structure to learn low-dimensional embedding of vertices, has been useful in a variety of tasks. However, most approaches learn textual network embedding by using direct neighbors. In this paper, we employ a powerful and spatially localized operation: personalized Page Rank(PPR) to eliminate the restriction of using only the direct connection relationship. Also, we analyze the relationship between PPR and spectral-domain theory, which provides insight into the empirical performance boost. From the experiment, we discovered that the proposed method provides a great improvement in linkprediction tasks, when compared to existing methods, achieving a new state-of-the-art on several real-world benchmark datasets.

关键词： representation learning network embedding PageRank textual network personalized PageRank

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Evaluating the performance and accuracy impact of trace generation to the bigsim emulator

Evaluating the performance and accuracy impact of trace gene...

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10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010

作者： Che, Yonggang Xu, Chuanfu Lu, Pingjing National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9780769541082

This paper quantitatively studies the trace effects to the performance and accuracy of the BigSim Emulator, a scalable parallel emulator for large-scale computers. To assess the accuracy effect we modify the emulator code to collect the predicted computation time. Four MPI programs with different computation to communication ratios are used as benchmarks. The emulation time and the predicted computation time, both when trace generation are enabled and disabled, are collected on two parallel host machines. The results show that although the BigSim Emulator only traces communication events and dependencies, trace generation still evidently degrades the emulation performance for programs with high communication to computation ratios. Trace generation also significantly affects the accuracy of the predicted computation time for communication intensive programs, which is an issue that can not be overlooked. © 2010 IEEE.

关键词： BigSim emulator MPI programs digital simulation emulator code large scale computers message passing parallel host machines parallel programming performance evaluation scalable parallel emulator trace generation accuracy impact

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Feature preserving consolidation for unorganized point clouds

Feature preserving consolidation for unorganized point cloud...

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IEEE International Conference on Progress in Informatics and Computing (PIC)

作者： Li, Bao Jiang, Wei Cheng, Zhiquan Dang, Gang Jin, Shiyao National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9781424467860

We introduce a novel method for the consolidation of unorganized point clouds with noise, outliers, non-uniformities as well as sharp features. This method is feature preserving, in the sense that given an initial estimation of normal, it is able to recover the sharp features contained in the original geometric data which are usually contaminated during the acquisition. The key ingredient of our approach is a weighting term from normal space as an effective complement to the recently proposed consolidation techniques. Moreover, a normal mollification step is employed during the consolidation to get normal information respecting sharp features besides the position of each point. Experiments on both synthetic and real-world scanned models validate the ability of our approach in producing denoised, evenly distributed and feature preserving point clouds, which are preferred by most surface reconstruction methods. ©2010 IEEE.

关键词： Consolidation Feature preserving Point clouds Sharp features

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A two-phase mapping method for parallel applications simulation

A two-phase mapping method for parallel applications simulat...

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2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

作者： Fang, Jianbin Xu, Chuanfu Che, Yonggang Weng, Yufen Wang, Zhenghua National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9781424445073

Efficient mapping of logical processes to physical processes is one of key technologies to accelerate parallel performance simulation. Aiming at minimizing the communications between SMP nodes and between host physical processes, this paper presents a novel method named TPsmp-LP3M. It automatically extracts communication pattern of logical processes from trace and then generates a two-phase mapping from logical processes to SMP clusters. Experimental results show that TPsmp-LP3M can outperform the regular mapping method by up to 20.2%. ©2009 IEEE.

关键词： Mapping

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Prediction of the Cyanobacteria Coverage in Time-series Images based on Convolutional Neural Network 21

Prediction of the Cyanobacteria Coverage in Time-series Imag...

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4th International Conference on Control and Computer Vision, ICCCV 2021

作者： Ye, Xiangyu Lai, Zhiquan Li, Dongsheng National Key Laboratory of Parallel and Distributed Processing Computer College National University of Defense Technology China

ISBN: (纸本)9781450390477

In recent years, the problem of lake eutrophication has become increasingly severe. The monitoring and control of cyanobacteria in lakes are of great significance. The information obtained by existing monitoring methods is relatively lagging, and it is impossible to monitor the sudden outbreak of cyanobacteria in time. Getting cyanobacteria information directly through camera images is a breakthrough. In this paper, after analyzing the characteristics of time series cyanobacteria images, we propose a block prediction scheme based on the CNN model. Experiments show that this method can quickly calculate the coverage of cyanobacteria in the monitoring image in a short time. It can also effectively distinguish cyanobacteria-rich water areas, which significantly facilitates water quality monitoring and cyanobacteria management. We can draw a chart of the changes in the coverage of cyanobacteria by analyzing multi-day time-series images. The chart helps us conduct a short-term water quality analysis to better deal with the outbreak of cyanobacteria. © 2021 ACM.

关键词： Lakes

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Modeling organization structure of multi-agent system

Modeling organization structure of multi-agent system

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2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology

作者： Xinjun, Mao Ji, Wang Jiajia, Chen National Laboratory for Parallel and Distributed Processing 300 Lichen Road Changsha Hunan Province 410073 China

ISBN: (纸本)0769524168

Organization concepts can act as abstractions to analyze and design multi-agent system (MAS). Organizational structure is such an abstraction used to describe the overall architecture of MAS and therefore to design AOSE methodology. The paper investigates how to model and analyze the organization structure in different development phases and abstract levels when developing MAS. A visual modeling language and a development process are presented. Various structural relationships are identified and defined. An information system example is also illustrated. © 2005 IEEE.

关键词： Multi agent systems

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Effective Anomaly Detection Based on Reinforcement Learning in Network Traffic Data 27

Effective Anomaly Detection Based on Reinforcement Learning ...

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27th IEEE International Conference on parallel and distributed Systems, ICPADS 2021

作者： Wang, Zhongyang Wang, Yijie Xu, Hongzuo Wang, Yongjun National University of Defense Technology Science and Technology on Parallel Distributed Processing Laboratory College of Computer China

ISBN: (纸本)9781665408783

Mixed-type data with both categorical and numerical features are ubiquitous in network security, but the existing methods are minimal to deal with them. Existing methods usually process mixed-type data through feature conversion, whereas their performance is downgraded by information loss and noise caused by the transformation. Meanwhile, existing methods usually superimpose domain knowledge and machine learning in which fixed thresholds are used. It cannot dynamically adjust the anomaly threshold to the actual scenario, resulting in inaccurate anomalies obtained, which results in poor performance. To address these issues, this paper proposes a novel Anomaly Detection method based on Reinforcement Learning, termed ADRL, which uses reinforcement learning to dynamically search for thresholds and accurately obtain anomaly candidate sets, fusing domain knowledge and machine learning fully and promoting each other. Specifically, ADRL uses prior domain knowledge to label known anomalies and uses entropy and deep autoencoder in the categorical and numerical feature spaces, respectively, to obtain anomaly scores combining with known anomaly information, which are integrated to get the overall anomaly scores via a dynamic integration strategy. To obtain accurate anomaly candidate sets, ADRL uses reinforcement learning to search for the best threshold. Detailedly, it initializes the anomaly threshold to get the initial anomaly candidate set and carries on the frequent rule mining to the anomaly candidate set to form the new knowledge. Then, ADRL uses the obtained knowledge to adjust the anomaly score and get the score modification rate. According to the modification rate, different threshold modification strategies are executed, and the best threshold, that is, the threshold under the maximum modification rate, is finally obtained, and the modified anomaly scores are obtained. The scores are used to re-carry out machine learning to improve the algorithm's accuracy for anomalo

关键词： Anomaly detection

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Workload-awared HPC system scalability analysis based on electronic technology developing

Workload-awared HPC system scalability analysis based on ele...

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2012 International Conference on Mechanical and Electronic Engineering, ICMEE 2012

作者： Lin, Yufei Tang, Yuhua Zhang, Xin National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9783642315152

As the electronic technology develops, the integration levels of CPUs and memories keep growing, and the speeds of communication devices are improved. The high-performance computing (HPC) systems consist of processing nodes and communication network, and their sizes are advanced by the development of electronic technology. Then the scalability of a large-scale parallel computing system, i.e. whether the computing performance is increased with the system size, becomes a major goal pursued by designers of parallel algorithms and high-performance parallel machines. parallel speedup is a popular way to measure the scalability. This paper proposes the definition of HPC system scalability based on speedup first, and then analyzes the influence of function G(P), which describes how the workload changes with processor number, on the system scalability. Through case studies, we analyze some typical programs based on our scalability theorems and the results show that our analysis approach is correct. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Scalability

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Link scheduling in wireless networks with successive interference cancellation

Link scheduling in wireless networks with successive interfe...

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International Conference on Mobile Ad-hoc and Sensor Networks

作者： Lv, Shaohe Wang, Xiaodong Zhou, Xingming National Laboratory of Parallel and Distributed Processing National University of Defense Technology Changsha Hunan 410073 China

ISBN: (纸本)9780769543154

Successive interference cancellation (SIC) is an effective technique of multipacket reception to combat interference. As not all collision are resolvable, careful transmission coordination is required. We study link scheduling in wireless networks with SIC at the physical layer. A new model, simultaneity graph (SG), is proposed to characterize the link correlation introduced by SIC. Then two new scheduling schemes are presented: 1) a slotoriented scheme which assigns a maximal feasible link set to a time slot and 2) a link-oriented scheme which assigns each link a sufficient number of slots. The performance is evaluated by simulations and the results demonstrate that the throughput gain is on average 50% and up to 110% over IEEE 802.11. The complexity of SG is only a bit higher than that of the available widely-used models (e.g., conflict graph). © 2010 IEEE.

关键词： Wireless networks

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Versionized process based on non-volatile random-access memory for fine-grained fault tolerance

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Frontiers of Information Technology & Electronic Engineering 2018年第2期19卷 192-205页

作者： Wen-zhe ZHANG Kai LU Xiao-ping WANG Science and Technology on Parallel and Distributed Processing Laboratory College of ComputerNational University of Defense Technology

Non-volatile random-access memory（NVRAM） technology is maturing rapidly and its byte-persistence feature allows the design of new and efficient fault tolerance mechanisms. In this paper we propose the versionized process（Ver P）, a new process model based on NVRAM that is natively non-volatile and fault tolerant. We introduce an intermediate software layer that allows us to run a process directly on NVRAM and to put all the process states into NVRAM, and then propose a mechanism to versionize all the process data. Each piece of the process data is given a special version number, which increases with the modification of that piece of data. The version number can effectively help us trace the modification of any data and recover it to a consistent state after a system *** with traditional checkpoint methods, our work can achieve fine-grained fault tolerance at very little cost.

关键词： Non-volatile memory Byte-persistence Versionized process Version number

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