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基于邻域采样的多任务图推荐算法

计算机工程与应用 2024年第9期60卷 172-180页

作者：张俊三肖森高慧邵明文张培颖朱杰中国石油大学(华东)计算机科学与技术学院山东青岛266580 河北大学数学与信息科学学院河北省机器学习与计算智能重点实验室河北保定071002

近年来,图神经网络(GNN)成为解决协同过滤的主流方法之一。它通过构建用户-物品图,模拟用户与物品的交互关系,并用GNN学习它们的特征表示。尽管现有在模型结构上的研究已取得了较大进展,但如何在图结构上更有效地进行负采样仍未有效解... 详细信息

近年来,图神经网络(GNN)成为解决协同过滤的主流方法之一。它通过构建用户-物品图,模拟用户与物品的交互关系,并用GNN学习它们的特征表示。尽管现有在模型结构上的研究已取得了较大进展,但如何在图结构上更有效地进行负采样仍未有效解决。为此,提出一种基于邻域采样的多任务图推荐算法。该算法提出了一种基于GNN的邻域采样策略,该策略以每个用户为中心构建子图,将次高阶物品作为用户邻域采样的负样本,可以更有效地挖掘强负样本并提高采样质量。通过GNN对图结点进行信息聚合与特征提取,得到结点的最终嵌入表示。设计一种余弦边际损失来过滤部分冗余负样本,以有效减少采样过程中的噪声数据。同时,该算法引入了多任务策略对模型进行联合优化,以增强模型的泛化能力。在3个公开数据集上进行的大量实验表明,该算法在大多数情况下明显优于其他主流算法。

关键词：图神经网络协同过滤负采样邻域采样余弦边际损失多任务策略

复杂网络视角下在线健康平台科普文章知识社团发现研究

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情报科学 2024年第2期42卷 83-96页

作者：周欢刘嘉王欢芳张培颖湖南工业大学商学院湖南株洲412007 北京大学武汉人工智能研究院湖北武汉430075

【目的/意义】随着新冠肺炎疫情的暴发和持续蔓延,人们通过在线健康平台推送的科普文章获取健康知识的需求急剧增加,如何从海量文章中高效发现健康知识是亟待解决的问题。【方法/过程】本文在复杂网络视角下,构建健康科普文章文本关联网... 详细信息

【目的/意义】随着新冠肺炎疫情的暴发和持续蔓延,人们通过在线健康平台推送的科普文章获取健康知识的需求急剧增加,如何从海量文章中高效发现健康知识是亟待解决的问题。【方法/过程】本文在复杂网络视角下,构建健康科普文章文本关联网络,提出知识发现方法并获得知识社团,实现了在线健康平台科普文章的健康知识发现。然后,借助主题分析、复杂网络分析及情感倾向分析等方法,分析了健康科普文章的语义特征、多尺度结构特征和情感特征,并讨论了健康科普文章内容结构、有用性和健康知识的表达模式等。【结果/结论】研究结果表明,本文提出的知识社团发现方法能够有效发现健康科普文章知识内容,对主题词项的有序组织能够有效表达健康知识,不同尺度上文章的文本结构特征、知识表达等存在差异,且健康科普文章的情感倾向集中在中性偏积极的范围。【创新/局限】在复杂网络的视角下实现健康科普文章的知识发现与知识内容分析,后续可根据病症类型等对健康科普文章进行细分,进一步揭示健康科普文章知识特征。

关键词：在线健康平台知识发现健康科普文章复杂网络分析知识社团

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事件系统视角下网络舆情态势感知研究

情报杂志 2024年第2期43卷 135-142,117页

作者：周欢张培颖黄晓怡李轶芳湖南工业大学商学院株洲412007

[研究目的]随着互联网技术的发展,网络环境变得日益复杂,网络舆情事件发展态势感知的难度也在不断加大,为网络舆情监管带来了极大挑战。在舆情事件发生时,及时感知其发展态势,厘清其演化特征和规律,藉此提出相应建议,对引导与治理网络... 详细信息

[研究目的]随着互联网技术的发展,网络环境变得日益复杂,网络舆情事件发展态势感知的难度也在不断加大,为网络舆情监管带来了极大挑战。在舆情事件发生时,及时感知其发展态势,厘清其演化特征和规律,藉此提出相应建议,对引导与治理网络舆情具有重要意义。[研究方法]基于事件系统理论,提出一种融合态势感知理论和用户画像的网络舆情态势感知模型。首先,采集舆情事件时间、空间和强度要素相关数据。然后,划分舆情演化阶段、分析网络舆情扩散属性和情绪强度属性的特征。最后,构建Grey-BP神经网络模型,预测网络舆情扩散属性和情绪强度属性的后续发展态势。[研究结论]从事件系统视角出发,构建了融合态势感知理论和用户画像的网络舆情态势感知模型,整体性地探究舆情事件时间、空间和强度要素特征,能够较为全面地阐述网络舆情的演化态势,并可靠地预测其未来演变趋势。

关键词：事件系统网络舆情态势感知舆情画像网络舆情治理

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天然气超声流量计健康状态评价方法初探

石油与天然气化工 2024年第2期53卷 112-118,138页

作者：刘喆郑宏伟郭哲彭世亮张佩颖李振林苏怀中国石油大学(北京)机械与储运工程学院国家管网集团西气东输公司中国石油西南油气田公司天然气研究院

目的天然气计量用超声流量计性能诊断主要采用设定参数阈值的诊断方法,为降低误报、漏报等情况,建立了基于生成对抗神经网络(generated adjoint neural network,GAN)和高维非线性无监督学习的超声流量计健康状态系统诊断方法。方法采用... 详细信息

目的天然气计量用超声流量计性能诊断主要采用设定参数阈值的诊断方法,为降低误报、漏报等情况,建立了基于生成对抗神经网络(generated adjoint neural network,GAN)和高维非线性无监督学习的超声流量计健康状态系统诊断方法。方法采用GAN对原始数据进行学习、生成和扩充,保障超声流量计健康状态诊断建模的数据基础,提取超声流量计在运行过程中的健康状态参数并对其进行时序分析,采用高维非线性无监督聚类学习方法,结合超声流量计失效模式分析,对超声流量计设备进行在线的健康状态诊断。结果结合超声流量计工作原理和现场实际采集数据,对生成的故障数据集进行了验证。结论能够准确识别超声流量计当前状态,显著解决传统阈值法误报率、漏报率高的问题,为超声流量计健康诊断的统一管理与开发给予支撑。

关键词：超声流量计健康状态特征提取无监督学习故障诊断

Information mining and similarity computation for semi-/un-structured sentences from the social data

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Digital Communications and Networks 2021年第4期7卷 518-525页

作者： peiying zhang Xingzhe Huang Lei zhang College of Computer Science and Technology China University of Petroleum(East China)Qingdao266580China Petroleum Engineering Technology Research Institute Shengli OilfieldSinopecDongying257000China

In recent years,with the development of the social Internet of Things(IoT),all kinds of data accumulated on the *** data,which contain a lot of social information and ***,these data are rarely fully analyzed,which is a major obstacle to the intelligent development of the social *** this paper,we propose a sentence similarity analysis model to analyze the similarity in people’s opinions on hot topics in social media and news *** of these data are unstructured or semi-structured sentences,so the accuracy of sentence similarity analysis largely determines the model’s *** the purpose of improving accuracy,we propose a novel method of sentence similarity computation to extract the syntactic and semantic information of the semi-structured and unstructured *** mainly consider the subjects,predicates and objects of sentence pairs and use Stanford Parser to classify the dependency relation triples to calculate the syntactic and semantic similarity between two ***,we verify the performance of the model with the Microsoft Research Paraphrase Corpus(MRPC),which consists of 4076 pairs of training sentences and 1725 pairs of test sentences,and most of the data came from the news of social *** simulations demonstrate that our method outperforms other state-of-the-art methods regarding the correlation coefficient and the mean deviation.

关键词： Sentence similarity computation Information mining and computation Social data Internet of things Type of sentence pairs

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慢性伤口护理病例汇报规范指标体系的构建

护士进修杂志 2024年第1期39卷 36-41页

作者：张佩英王艺齐心路潜傅晓瑾郭彤刘瑾关辉陈欣北京大学第一医院北京100034 北京积水潭医院北京100035 北京大学护理学院北京100191 中日友好医院北京100029

目的构建慢性伤口护理病例汇报规范指标体系。方法 2020年10-11月在文献回顾、质性访谈的基础上形成指标初稿。采用德尔菲专家函询法对21名专家进行2轮函询。结果 2轮专家函询的专家积极系数分别为100%,90.5%,专家权威系数分别为0.94、... 详细信息

目的构建慢性伤口护理病例汇报规范指标体系。方法 2020年10-11月在文献回顾、质性访谈的基础上形成指标初稿。采用德尔菲专家函询法对21名专家进行2轮函询。结果 2轮专家函询的专家积极系数分别为100%,90.5%,专家权威系数分别为0.94、0.95,专家的肯德尔协调系数(W)分别为0.196、0.176(P<0.001)。最终形成慢性伤口护理病例汇报规范指标体系,包括4个一级指标:评估与诊断、处理、总结与分析及整体评价;20个二级指标,20个三级指标。结论构建的慢性伤口护理病例汇报规范指标具有较高的科学性与可靠性、可操作性强,可为规范慢性伤口护理病例的汇报提供指导。

关键词：慢性伤口护理病例汇报规范专家函询

An OSGi-based flexible and adaptive pervasive cloud infrastructure

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Science China(Information Sciences) 2014年第3期57卷 90-100页

作者： zhang WeiShan CHEN LiCheng LIU Xin LU QingHua zhang peiying YANG Su Department of Software Engineering China University of PetroleumQingdao College of Computer Fudan University

There is a trend that diferent computing paradigms such as cloud computing,pervasive,and mobile computing are converging with each *** to this convergence,there arise unprecedented complexities,such as huge number of computing devices,flexibilities and adaptation of service infrastructure(infrastructure elasticity)for fitting dynamics of large smart city applications,expectations of powerful computing and storage capabilities on handhold devices,and so ***,a supporting infrastructure is needed,which can flexibly switch services at run time and can be used to enhance capabilities for small devices through component/service *** this paper,we propose an elastic open service gateway initiative(OSGi)-based pervasive cloud(OSGi-PC)infrastructure which can make use of both the cloud computing capabilities and the component flexibilities from ***-PC provides flexible management of component migrations between small devices themselves and powerful nodes in between,which is remaining a critical challenge for enabling mobile *** have evaluated the OSGi-PC in terms of performance for adaptive service provision,and power consumption during service adaptation,performance and power consumption for component migrations in diferent scenarios,which show the usability of OSGi-PC.

关键词： OSGi pervasive cloud component migration elastic infrastructure

Multi-wave mixing Autler-Townes splitting in the five-level atomic system

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Science China(Physics,Mechanics & Astronomy) 2011年第9期54卷 1600-1607页

作者： WU ZhenKun LI peiying zhang ZhaoYang SANG SuLing WANG RuiMin zhang YanPeng Key Laboratory for Physical Electronics Devices of the Ministry of Education & Shaanxi Key Lab of lnformation Photonic Technique and School of Science Xi'an Jiaotong University Xi'an 710049 China

We have demonstrated the Autler-Townes (AT) splitting of the four-wave mixing (FWM) process and the six-wave mixing (SWM) process in an elec tromag netically induced transparency (EIT) window in five-level atomic vapor of 87 Rb. Moreover we discuss interactions of multi-dressed states. The experimental results agree well with the theoretical analysis.

关键词：六波混频原子系统分裂汤斯多波能级电磁诱导透明四波混频

Social-ecological perspective on the suicidal behaviour factors of early adolescents in China:a network analysis

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General Psychiatry 2024年第1期37卷 143-150页

作者： Yuan Li peiying Li Mengyuan Yuan Yonghan Li Xueying zhang Juan Chen Gengfu Wang Puyu Su Department of Maternal Child and Adolescent HealthSchool of Public HealthKey Laboratory of Population Health Across Life Cycle(Anhui Medical University)Ministry of Education of the People's Republic of ChinaAnhui Medical UniversityKey Laboratory of Population Health Across Life Cycle(Anhui Medical University)HefeiAnhuiChina Tianjin Anding Hospital Mental Health Center of Tianjin Medical UniversityTianjin Medical UniversityTianjinChina Department of Environmental Medicine and Public Health Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA Afiliated Psychological Hospital of Anhui Medical University Anhui Mental Health CenterFourth People's Hospital of HefeiHefeiAnhuiChina

Background In early adolescence,youth are highly prone to suicidal *** modifiable risk factors during this critical phase is a priority to inform effective suicide prevention *** To explore the risk and protective factors of suicidal behaviours(ie,suicidal ideation,plans and attempts)in early adolescence in China using a social-ecological *** Using data from the cross-sectional project‘Healthy and Risky Behaviours Among Middle School Students in Anhui Province,China',stratified random cluster sampling was used to select 5724 middle school students who had completed self-report questionnaires in November *** analysis was employed to examine the correlates of suicidal ideation,plans and attempts at four levels,namely individual(sex,academic performance,serious physical llness/disability,history of self-harm,depression,impulsivity,sleep problems,resilience),family(family economic status,relationship with mother,relationship with father,family violence,childhood abuse,parental mental illness),school(relationship with teachers,relationship with classmates,school-bullying victimisation and perpetration)and social(social support,satisfaction with society).Results In total,37.9%,19.0%and 5.5%of the students reported suicidal ideation,plans and attempts in the past 6 months,*** estimated network revealed that suicidal ideation,plans and attempts were collectively associated with a history of self-harm,sleep problems,childhood abuse,school bullying and *** analysis indicated that the most influential nodes in the network were history of self-harm and childhood ***,the network also showed unique correlates of suicidal ideation(sex,weight=0.60;impulsivity,weight=0.24;family violence,weight=0.17;relationship with teachers,weight=-0.03;school-bullying perpetration,weight=0.22),suicidal plans(social support,weight=-0.15)and suicidal attempts(relationship with mother,weight=-0.10;par

关键词： network analysis prevention