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A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection

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IEEE/CAA Journal of Automatica Sinica 2023年第9期10卷 1834-1844页

作者： Yanlu Gong Junhai Zhou Quanwang Wu MengChu Zhou junhao wen College of Computer Science Chongqing UniversityChongqing 400044China IEEE Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA College of Big Data and Software Engineering Chongqing UniversityChongqing 400044China

As a crucial data preprocessing method in data mining,feature selection(FS)can be regarded as a bi-objective optimization problem that aims to maximize classification accuracy and minimize the number of selected features.Evolutionary computing(EC)is promising for FS owing to its powerful search capability.However,in traditional EC-based methods,feature subsets are represented via a length-fixed individual encoding.It is ineffective for high-dimensional data,because it results in a huge search space and prohibitive training time.This work proposes a length-adaptive non-dominated sorting genetic algorithm(LA-NSGA)with a length-variable individual encoding and a length-adaptive evolution mechanism for bi-objective highdimensional FS.In LA-NSGA,an initialization method based on correlation and redundancy is devised to initialize individuals of diverse lengths,and a Pareto dominance-based length change operator is introduced to guide individuals to explore in promising search space adaptively.Moreover,a dominance-based local search method is employed for further improvement.The experimental results based on 12 high-dimensional gene datasets show that the Pareto front of feature subsets produced by LA-NSGA is superior to those of existing algorithms.

关键词： Bi-objective optimization feature selection(FS) genetic algorithm high-dimensional data length-adaptive

Effort-aware cross-project just-in-time defect prediction framework for mobile apps

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Frontiers of Computer Science 2022年第6期16卷 15-29页

作者： Tian CHENG Kunsong ZHAO Song SUN Muhammad MATEEN junhao wen School of Big Data and Software Engineering Chongqing UniversityChongqing401331China School of Computer Science Wuhan UniversityWuhan430072China Department of Computer Science Air University Multan CampusMultan60000Pakistan

As the boom of mobile devices,Android mobile apps play an irreplaceable roles in people’s daily life,which have the characteristics of frequent updates involving in many code commits to meet new requirements.Just-in-Time(JIT)defect prediction aims to identify whether the commit instances will bring defects into the new release of apps and provides immediate feedback to developers,which is more suitable to mobile apps.As the within-app defect prediction needs sufficient historical data to label the commit instances,which is inadequate in practice,one alternative method is to use the cross-project model.In this work,we propose a novel method,called KAL,for cross-project JIT defect prediction task in the context of Android mobile apps.More specifically,KAL first transforms the commit instances into a high-dimensional feature space using kernel-based principal component analysis technique to obtain the representative features.Then,the adversarial learning technique is used to extract the common feature embedding for the model building.We conduct experiments on 14 Android mobile apps and employ four effort-aware indicators for performance evaluation.The results on 182 cross-project pairs demonstrate that our proposed KAL method obtains better performance than 20 comparative methods.

关键词： kernel-based principal component analysis adversarial learning just-in-time defect prediction cross-project model

Mask guided diverse face image synthesis

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Frontiers of Computer Science 2022年第3期16卷 67-75页

作者： Song SUN Bo ZHAO Muhammad MATEEN Xin CHEN junhao wen School of Big Data&Software Engineering Chongqing UniversityChongqing 401331China Department of Computer Science The University of British ColumbiaVancouve BC V6T 1Z4Canada Department of Computer Science Air University Multan CampusMultan 60000Pakistan

Recent studies have shown remarkable success in face image generation task.However,existing approaches have limited diversity,quality and controllability in generating results.To address these issues,we propose a novel end-to-end learning framework to generate diverse,realistic and controllable face images guided by face masks.The face mask provides a good geometric constraint for a face by specifying the size and location of different components of the face,such as eyes,nose and mouse.The framework consists of four components:style encoder,style decoder,generator and discriminator.The style encoder generates a style code which represents the style of the result face;the generator translate the input face mask into a real face based on the style code;the style decoder learns to reconstruct the style code from the generated face image;and the discriminator classifies an input face image as real or fake.With the style code,the proposed model can generate different face images matching the input face mask,and by manipulating the face mask,we can finely control the generated face image.We empirically demonstrate the effectiveness of our approach on mask guided face image synthesis task.

关键词： face image generation image translation generative adversarial networks

印度-欧亚板块碰撞带中下地壳分层流动与减薄:来自希夏邦马峰地区藏南拆离系构造解析的证据

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岩石学报 2024年第5期40卷 1475-1488页

作者：闫佳鑫刘俊来周保军闻俊豪中国地质调查局西安地质调查中心(西北地质科技创新中心) 中国地质调查局造山带研究中心西安710119 中国地质大学地质过程与矿产资源国家重点实验室北京100083 中国地质大学(北京)深时数字地球前沿科学中心北京100083 中国前寒武系省级地质自然保护区管护局昆明650600

造山带中下地壳物质流动是造山带地壳变形的重要表现,它制约着造山作用过程。印度-欧亚板块碰撞带内藏南拆离系为理解陆-陆板块会聚过程中中下地壳物质流动提供了范例。本项研究围绕喜马拉雅造山带中段希夏邦马峰地区藏南拆离系开展构... 详细信息

造山带中下地壳物质流动是造山带地壳变形的重要表现,它制约着造山作用过程。印度-欧亚板块碰撞带内藏南拆离系为理解陆-陆板块会聚过程中中下地壳物质流动提供了范例。本项研究围绕喜马拉雅造山带中段希夏邦马峰地区藏南拆离系开展构造解析、显微构造观察和淡色花岗岩独居石U-Th-Pb年代学分析。结果表明希夏邦马峰地区藏南拆离系为一宽约2km的韧性剪切带,剪切变形岩石具有显著的分层流动特征。藏南拆离系新生代时期经历了两阶段塑性变形:D 1期变形表现为面理S 1、对称状透镜体和层间褶皱F 1的发育;D 2期变形表现为糜棱面理S 2、近E-W向拉伸线理L 2、不对称旋转碎斑和透镜体及褶皱的发育。运动学标志表明D 2期变形为上盘向东的运动学特征。淡色花岗岩独居石U-Th-Pb测年分析获得三组年龄:32.26±0.29Ma、22.31±0.18Ma和15.54±0.11Ma,这三组年龄的淡色花岗岩分别表现出D 1期变形、D 2期变形和未变形特征。结合前人已发表数据,本文得出藏南拆离系ca.35~26Ma发生以纯剪为主的剪切变形(D 1期),ca.26~15Ma发生以单剪为主的剪切变形(D 2期)。D 1-D 2期变形为一递进剪切变形,二者可能归咎于印度-欧亚板块碰撞过程中中下地壳固态分层流动。

关键词：构造解析独居石U-Th-Pb测年希夏邦马峰地区藏南拆离系中下地壳分层流动

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Frontiers of Computer Science 2019年第2期13卷 231-246页

作者： Min GAO Bin LING Linda YANG junhao wen Qingyu XIONG Shun LI Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) Ministry of Education Chongqing 400044 China School of Software Engineering Chongqing University Chongqing 400044 China School of Engineering University of Portsmouth Portsmouth PO1 3 AH UK

Collaborative filtering (CF) is a technique commonly used for personalized recommendation and Web service quality-of-service (QoS) prediction. However, CF is vulnerable to shilling attackers who inject fake user profiles into the system. In this paper, we first present the shilling attack problem on CF-based QoS recommender systems for Web services. Then, a robust CF recommendation approach is proposed from a user similarity perspective to enhance the resistance of the recommender systems to the shilling attack. In the approach, the generally used similarity measures are analyzed, and the DegSim (the degree of similarities with top k neighbors) with those measures is selected for grouping and weighting the users. Then, the weights are used to calculate the service similarities/differences and predictions. We analyzed and evaluated our algorithms using WS-DREAM and Movielens datasets. The experimental results demonstrate that shilling attacks influence the prediction of QoS values, and our proposed features and algorithms achieve a higher degree of robustness against shilling attacks than the typical CF algorithms.

关键词： collaborative filtering service recommendation system robustness shilling attack

海水与腐蚀电流耦合作用下铝合金与混凝土界面黏结性能

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建筑结构学报 2024年第4期45卷 237-246页

作者：温小栋王俊豪殷光吉邵璟璟冯蕾宁波工程学院建筑与交通工程学院浙江宁波315211

为提高海洋混凝土结构的耐久性和使用性,基于牺牲阳极的阴极保护技术,对腐蚀防护与结构一体化的铝合金板-钢筋混凝土组合构件的界面黏结性能进行试验研究,建立海水环境与腐蚀电流耦合作用下界面黏结强度的计算方法。通过设计15组45个铝... 详细信息

为提高海洋混凝土结构的耐久性和使用性,基于牺牲阳极的阴极保护技术,对腐蚀防护与结构一体化的铝合金板-钢筋混凝土组合构件的界面黏结性能进行试验研究,建立海水环境与腐蚀电流耦合作用下界面黏结强度的计算方法。通过设计15组45个铝合金板与混凝土界面剪切试件,分别进行室内养护和耦合环境(海水环境与腐蚀电流)加速锈蚀,并进行单剪试验,研究黏结长度(60、80 mm和100 mm)、黏结宽度(60、80 mm和100 mm)、铝合金板表面刻槽深度(1.5 mm和2.5 mm)以及锈蚀时间(30、60 d和90 d)等参数对界面破坏形式、极限荷载及应变分布的影响。结果表明:室内环境养护下,试件的破坏形式为黏结层-混凝土之间的界面剥离,而耦合环境下试件的破坏形式转变为铝合金板与黏结层之间的界面剥离,且当锈蚀龄期达到90 d时,剥离的混凝土面积明显减少,故海水和腐蚀电流的耦合作用会降低铝合金板与黏结层界面的黏结性能;增大黏结长度、宽度以及表面刻槽深度,可提高室内环境下试件界面的极限破坏荷载,也能缓解耦合环境对试件界面黏结性能的不利影响;但黏结长度或宽度超过80 mm后,其缓解作用减弱。利用试验测试获得的极限荷载,拟合获得环境影响系数、槽深系数以及与试件黏结尺寸相关的系数,修正了Niedermeier黏结强度模型,可用于预测海水与腐蚀电流的耦合作用下铝合金板与混凝土界面的黏结强度。

关键词：铝合金板与混凝土界面海水和腐蚀电流耦合作用单剪试验界面破坏黏结强度

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自然语言处理领域中的词嵌入方法综述

计算机科学与探索 2024年第1期18卷 24-43页

作者：曾骏王子威于扬文俊浩高旻重庆大学大数据与软件学院重庆401331 信息物理社会可信服务计算教育部重点实验室(重庆大学) 重庆400044

词嵌入作为自然语言处理任务的第一步,其目的是将输入的自然语言文本转换为模型可以处理的数值向量,即词向量,也称词的分布式表示。词向量作为自然语言处理任务的根基,是完成一切自然语言处理任务的前提。然而,国内外针对词嵌入方法的... 详细信息

词嵌入作为自然语言处理任务的第一步,其目的是将输入的自然语言文本转换为模型可以处理的数值向量,即词向量,也称词的分布式表示。词向量作为自然语言处理任务的根基,是完成一切自然语言处理任务的前提。然而,国内外针对词嵌入方法的综述文献大多只关注于不同词嵌入方法本身的技术路线,而未能将词嵌入的前置分词方法以及词嵌入方法完整的演变趋势进行分析与概述。以word2vec模型和Transformer模型作为划分点,从生成的词向量是否能够动态地改变其内隐的语义信息来适配输入句子的整体语义这一角度,将词嵌入方法划分为静态词嵌入方法和动态词嵌入方法,并对此展开讨论。同时,针对词嵌入中的分词方法,包括整词切分和子词切分,进行了对比和分析;针对训练词向量所使用的语言模型,从概率语言模型到神经概率语言模型再到如今的深度上下文语言模型的演化,进行了详细列举和阐述;针对预训练语言模型时使用的训练策略进行了总结和探讨。最后,总结词向量质量的评估方法,分析词嵌入方法的当前现状并对其未来发展方向进行展望。

关键词：词向量词嵌入方法自然语言处理语言模型分词词向量评估

小麦矮腥黑粉菌效应蛋白g4418的毒性验证及亚细胞定位

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麦类作物学报 2024年第6期44卷 735-741页

作者：马骏豪文智伟郭笑维王昕刘琦高利新疆农业大学农学院/农业农村部西北荒漠绿洲农林外来入侵生物防控重点实验室(部省共建) 新疆乌鲁木齐830052 中国农业科学院植物保护研究所/植物病虫害综合治理全国重点实验室北京100193

为探究由小麦矮腥黑粉菌基因g4418编码的蛋白的生物学功能,根据小麦矮腥黑粉病菌转录组测序结果,筛选出由基因g4418编码的蛋白,通过提取小麦矮腥黑粉菌总RNA并合成cDNA,然后以cDNA为模板利用PCR技术扩增出g4418目的基因,对其编码蛋白进... 详细信息

为探究由小麦矮腥黑粉菌基因g4418编码的蛋白的生物学功能,根据小麦矮腥黑粉病菌转录组测序结果,筛选出由基因g4418编码的蛋白,通过提取小麦矮腥黑粉菌总RNA并合成cDNA,然后以cDNA为模板利用PCR技术扩增出g4418目的基因,对其编码蛋白进行了生物信息学分析,通过构建pGR107-g4418融合载体和pBin-GFP-g4418表达载体进行毒性验证和亚细胞定位。结果表明,g4418基因全长432 bp,共编码143个氨基酸;烟草毒性验证表明,该蛋白无毒性;共聚焦显微镜观察亚细胞定位结果显示,该效应蛋白g4418可定位在细胞膜和细胞核。

关键词：小麦矮腥黑粉菌 g4418 毒性验证亚细胞定位

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江苏省多层次轨道交通协同运营方案研究

现代城市轨道交通 2024年第2期 7-10页

作者：胡俊豪蒋凯文媛苏交科集团股份有限公司江苏南京210019

伴随江苏省内多层次轨道交通网络规模的大幅扩张及运输能力的显著提升,旅客对全程出行链互联互通的需求日益凸显。同时,各层次轨道交通在运营主体、技术特征、功能定位等方面的差异也对不同轨道交通系统在运营管理中的相互配合、共同协... 详细信息

伴随江苏省内多层次轨道交通网络规模的大幅扩张及运输能力的显著提升,旅客对全程出行链互联互通的需求日益凸显。同时,各层次轨道交通在运营主体、技术特征、功能定位等方面的差异也对不同轨道交通系统在运营管理中的相互配合、共同协作提出更高要求。在此背景下,文章通过分析江苏省多层次轨道交通的发展现状,在综合考虑协同运营需遵循原则的基础上,从运营管理、票务及信息服务、协同组织3方面提出适合江苏省的多层次轨道交通协同运营方案,以期为江苏省建设融合开放、高效智慧的多层次轨道交通体系,实现轨道交通高质量发展提供参考及决策支持。

关键词：多层次轨道交通协同运营江苏省