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中国人民大学信息学院硕士研究生导师信息:梁循

2021-06-20 07:32:00来源:

  考研中一般在复试期间大家会联系硕士研究生导师,因为提前联系运气好的话,导师看到你的简历后可能对你非常感兴趣,在不违背原则的前提下没准会对你的复试指点一二。那在和导师邮件沟通的过程中如果你对导师的学术著作颇有研究或者在考研前就已经瞄准某位导师,那就很有必要对于硕士研究生导师的信息提前熟悉了解,方便以后的沟通。下面新东方在线考研频道为大家分享:“ 中国人民大学信息学院硕士研究生导师信息:梁循 ”文章。

  梁循

  网络信息挖掘研究

  电子邮箱:xunliangruc@163.com (ruc, Renmin University of China)

  更多教育经历

  工作经历

  研究方向

  讲授课程

  《金融信息管理》(本科3年级)

  《大数据物联网复杂信息系统》(经济信息管理系, 硕士1年级)

  《商务建模与商务智能》(经济信息管理系, 硕士1年级)

  《高级网络金融》(经济信息管理系, 硕士1年级; 软件工程专业, 硕士1年级)

  《信息科学技术前沿》(计算机系, 博士1年级) (部分)

  《理论文献研修》(计算机系, 博士1年级) (部分)

  《金融业务与金融信息化》(硕士1年级)

  《互联网金融信息系统》(硕士1年级)

  《网络金融》(本科3年级; 硕士1年级)

  《金融学》(本科2年级)

  《金融数据挖掘》(本科3年级)

  《大数据电子商务与现代商业金融》

  《数学与信息系统概论》(本科1年级) (部分)

  《金融信息管理》(本科3年级)

  《信息与社会》(全校选修课, 本科1年级) (部分)

  《新生研讨课》(本科1年级) (部分)

  科研项目

  科研成果

  Fast-solving quasi-optimal LS-S3VM based on an extended candidate set, IEEE Transactions on Neural Networks and Learning Systems, 29(4):1120-1131, 2018

  Structure based user identification across social networks, IEEE Transactions on Knowledge and Data Engineering, 30(6):1178-1191,

  Entropy-based partition for scheme edge mapping in complex networks, Knowledge-Based Systems, 2020

  Human behavior link partition algorithm with smart mobile social networks, IEEE Transactions on Knowledge and Data Engineering, 2020

  A quantitative analysis with convolutional neural learning and information propagation prediction, Expert Systems with Applications, 2020

  An empirical study of two-stage parameter estimation model of sparse portfolio with manifold learning of sliding window of stock price time series, Decision Support Systems, 2020

  Hyperellipsoidal statistical classifications in a reproducing kernel Hilbert space, IEEE Transactions on Neural Networks, 22(6):968-975, 2011

  Modeling large-scale dynamic social networks via node embeddings, IEEE Transactions on Knowledge and Data Engineering, 31(10):1994-2007, 2019

  AT-LSTM model for financial time series prediction, IEEE Transactions on Computational Social Systems, 2019

  Scalable triangle discovery algorithm for large scale-free network with limited internal memory, IEEE Transactions on Big Data, 2019

  User social behavior analysis and kinship discrimination in communication social network communications, ACM Transactions on Information Systems, 2018

  Identification of organizational and individual users based on social content measurements, IEEE Transactions on Computational Social Systems, 2018

  Cross-platform identification of anonymous identical users in multiple social media networks, IEEE Transactions on Knowledge and Data Engineering, 28(2):411-424, 2016

  An effective method of pruning support vector machine classifiers, IEEE Transactions on Neural Networks, 21(1):26-38, 2010

  Pruning support vector machines without altering performances, IEEE Transactions on Neural Networks, 19(10):1792-1803, 2008

  HSEM - highly scalable node embedding for link prediction in very large-scale social networks, World Wide Web Journal, 2018

  基于内容的社交网络身份识别研究, 计算机学报, 2019

  基于深度学习的图卷积神经网络研究进展, 计算机学报, 2019

  极限学习机前沿进展与趋势, 计算机学报, 2019

  社交物联网研究, 计算机学报, 41(7):1448-1474, 2018

  跨平台社会网络用户行为和信息传播形式化表示方法, 计算机学报, 2018

  在线社会网络谣言检测综述, 计算机学报, 41(7):1648-1677, 2018

  大规模复杂信息网络表示学习: 概念、方法与挑战, 计算机学报, 41(10):2394-2420, 2018

  长文本小说外号识别研究, 中文信息学报, 2018

  小说中主角复杂爱情模式的识别与分析, 中文信息学报, 2018

  基于Petri网的微博网络信息传播模型, 中国管理科学, 26(12), 2018

  移动社交网络幂律分布特征节点关系判别研究, 软件学报, 32(6):114-123, 2018

  时序紧密耦合的社会网络企业双舆情相关分析, 情报学报, 37(5):503-511, 2018

  面向社会网络融合的关联用户挖掘方法综述, 软件学报, 28(6):1565-1583, 2017

  基于阻尼采样的大规模动态社会网络结构特征表示学习, 计算机学报, 40(4):805-823, 2017

  社会网络角色识别方法综述, 计算机学报, 40(3):649-673, 2017

  社会网络中突发型事件的信息传播时变模型, 中国管理科学, 25(12):147-157, 2017

  一种基于全局代表点的快速最小二乘支持向量机稀疏化算法, 自动化学报, 43(1):132-141, 2017

  政府指导下时序耦合的企业相关双舆情分析, 中国管理科学, 24, 2017

  一种大规模网络中基于节点结构特征映射的链接预测方法, 计算机学报, 39(10):1947-1964, 2016

  社会网络背景下的企业舆情研究述评与展望, 管理学报, 14(6):1-11, 2017

  基于在线评级和评论的评价者效用机制研究, 中国管理科学, 24(5):149-157, 2016

  基于最优文档嵌入的红楼梦作者辨析, 中文信息学报, 2020

  基于统计的新浪微博动态传播规律研究, 中文信息学报, 30(5):36-46, 2016

  基于属性主题分割的评论短文本词向量构建优化算法, 中文信息学报, 30(5):101-110, 120, 2016

  基于约束动态更新的半监督层次聚类算法, 自动化学报, 41(7):1253-1263, 2015

  腾讯微博的内容生成模式分析, 中文信息学报, 29(3):90-100, 2015

  基于TrTS取样的股票收益率RV测度的改进, 中国管理科学, 23(7):26-34, 2015

  Learning distributed representations for large-scale dynamic social networks, IEEE Conference on Computer Communications (INFOCOM), Atlanta, 2017

  Learning nodes vectors in large-scale networks for link prediction, Association Advance Artificial Intelligence (AAAI), Phoenix, 2016

  Joint learning of evolving links for dynamic network embedding, 32nd AAAI Conference on Artificial Intelligence (AAAI), New Orleans, 2018

  Dynamic transmission modes of online public opinion subevents clusters of an emergent event, International Conference on Management eCommerce and eGovernment, 77-82, 2017

  The magnitude scale evaluation of cross-platform internet public opinion, International Conference on Management eCommerce and eGovernment, 83-88, 2017

  A time series forecasting model based on deep learning integrated algorithm with stacked autoencoders and SVR for FX prediction, International Conference on Artificial Neural Networks, Barcelona, 2016

  Behavior of retweeting in microblogging service: a study of information propagation from user attributes, International Conference on Service Systems and Service Management, 976-981, 2016

  Protein complexes prediction via positive and unlabeled learning of the PPI networks, International Conference on Service Systems and Service Management, 75-80, 2016

  Financing amount and influence factors analysis in IT industry, International Conference on Service Systems and Service Management, 436-440, 2016

  Sparse subspace clustering via closure subgraph based on directed graph, Pacific Rim Conference on Multimedia, 75-84, 2016

  Discerning the trend - concealing deceptive REVI, IEEE International Conference on Systems, Man and Cybernetics, 1833-1838, 2015

  An emergency management system for bus hijacking based on massive image anomaly detection in social networks, IEEE International Conference on Systems, Man and Cybernetics, 864-869, 2015

  A succinct distributive big data clustering algorithm based on local-remote coordination, IEEE International Conference on Systems, Man and Cybernetics, 1839-1844, 2015

  A novel edge weighting method to enhance network community detection, IEEE International Conference on Systems, Man and Cybernetics, 167-172, 2015

  Mining gold in senior executives pockets - an online automatically trading strategy, International Conference on Machine Learning and Cybernetics, 151-156, 2015

  An empirical study of LMSV model in china stock market based on realized volatility, International Conference on Service Systems and Service Management, 2015

  Resolving inconsistent ratings and reviews on commercial webs based on support vector machines, International Conference on Service Systems and Service Management, 2015

  Online mining in unstructured financial information - an empirical study in bulletin news, International Conference on Service Systems and Service Management, 2015

  A hybrid model for stock price based on wavelet transform and support vector machines, International Conference on Service Systems and Service Management, 2015

  A collaborative method of aggregating group opinion based on incomplete preferences, Pacific Asia Conference on Information Systems (PACIS), 2014

  Fast pruning superfluous support vectors in SVMs, Pattern Recognition Letters, 34(10):1203-1209, 2013

  Collaborative aggregation of individual rating for group evaluation, Pacific Asia Conference on Information Systems, 2013

  The coordinate descent method with stochastic optimization for linear support vector machine, Neural Computing and Applications, 1261-1266, 2013

  Associating stock prices with web financial information time series based on support vector regression, Neurocomputing, 115:142-149, 2013

  Stock price forecasting with support vector machines based on web financial information sentiment analysis, Advanced Data Mining and Applications, 7713:527-538, 2012

  Research on viral marketing propagating oriented to marketing context, International Conference on Information Systems, 2012

  CRM business cloud computing, International Conference on Innovative Computing and Cloud Computing, 103-106, 2011

  Solving support vector machines beyond dual programming, Neural Information Processing, 7063:510-518, 2011

  Stock market forecasting based on wavelet and least squares support vector machine, International Conference on Enterprise Information Systems, 46-53, 2011

  Feature space versus empirical kernel map and row kernel space in SVMs, Neural Computing and Applications, 19(3):487-498, 2010

  A unified mathematical form for removing neurons based on orthogonal projection and crosswise propagation, Neural Computing and Applications, 19(3):445-457, 2010

  Separating hypersurfaces of SVMs in input spaces, Pattern Recognition Letters, 30(5):469-476, 2009

  Improving option price forecasts with neural networks and support vector regressions, Neurocomputing, 72:3055-3065, 2009

  人工智能模型与算法, 清华大学出版社, 2020

  基于深度学习的社会信息挖掘应用实例分析, 科学出版社, 2020

  基于好友关系的社会网络关联用户知识图谱构建, 科学出版社, 2019

  社会媒体网络下基于机器学习的公众舆情监督, 科学出版社, 2019

  面向电子商务大数据的社交网络舆情知识图谱, 清华大学出版社, 2019

  区块链信息管理系统, 清华大学出版社, 2019

  大数据物联网复杂信息系统, 清华大学出版社, 2017

  社会网络大数据下企业舆情建模和管理, 清华大学出版社, 2016

  社会化商务理论与实践, 清华大学出版社, 2014

  面向社会化媒体大数据的社会计算, 清华大学出版社, 2014

  金融数据挖掘 - 基于大数据视角的展望, 知识产权出版社, 2013

  支持向量机算法及其金融应用, 知识产权出版社, 2012

  互联网金融信息智能挖掘基础, 北京大学出版社, 2009

  网络金融系统设计与实现案例集, 北京大学出版社, 2009

  网络金融信息挖掘导论, 北京大学出版社, 2008

  电子商务理论与实践, 北京大学出版社, 2007

  互联网金融信息系统的设计与实现, 北京大学出版社, 2006

  数据挖掘算法与应用, 北京大学出版社, 2006

  网络金融, 北京大学出版社, 2005

  一种互联网新颖词监测方法, 专利, 200810117821

  一种增量抓取微博信息的方法, 专利, 201459578019.3

  一种多模式微博信息动态排序方法, 专利, 201210199559.2

  一种基于文本内容的垃圾微博过滤方法, 专利, 201210199572.8

  基于兴趣分析的微博博主社区分类方法, 专利, 201210250181.4

  一种面向微博的全新突发事件发现方法, 专利, 201810250175.9

  基于用户关系的博主兴趣社区发现方法, 专利, 201710128135.1

  基于关键词提取和基尼系数的微博用户分类方法, 专利, 201310169655.7

  一种基于密度的面向行人行为模式布集中式大数据聚类方法, 专利, 201563785128.2

  一种跨平台微博社区账户匹配方法, 专利, 201810000302.9

  一种基于知识图谱的融合知识表示的Word2vec训练方法, 专利, 201910552128.1

  一种基于侧链链接的知识图谱方法, 专利, 201910318234.5

  一种基于贡献激励的区块链协作系统, 专利, 201910552128.1

  一种区块链结构分支技术, 专利, 201910234522.1

  一种在特定区域内推荐拍摄地点的方法, 专利, 201610874127.5

  Method for monitoring abnormal state of internet information, 美国专利, US 8185537

  社会兼职

  中国信息经济学会常务理事、经济数学与管理数学学会副理事长、中国运筹学会决策分会常务理事、中国优选法与经济数学学会常务理事、中国计算机学会中文信息处理委员会专委、区块链产业专业委员会委员、中国人工智能学会社会计算与社会智能专业委员会委员、中国中文信息学会信息检索委员会专委

  荣誉获奖

  以上就是新东方在线考研频道为大家分享的文章:“中国人民大学信息学院硕士研究生导师信息:梁循 ”。建议大家给导师发邮件题目直接写“姓名 xxx专业硕士自荐信”等,让硕士研究生导师一眼就能知道你的目的。内容主要分成两个部分:第一,要说明自己的情况。第二,要表明对老师研究方向的兴趣。



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