个人简介

潘林，男，天津大学海洋科学与技术学院讲师、硕导， 天津市智慧社会与大数据智能创新团队成员。 中国计算机学会(CCF)会员、ACM会员。 2009年7月于天津大学软件学院获工学学士学位， 2016年1月于天津大学计算机科学与技术学院获工学博士学位。

兴趣爱好

  • 复杂网络科学
  • 计算社会学
  • 数据挖掘
  • 人工智能

教育经历

  • 博士生, 2009年09月-2016年01月

    天津大学，计算机科学与技术学院

  • 本科生, 2005年09月-2009年07月

    天津大学，软件学院

最近出版

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Lower Order Information Preserved Network Embedding Based on Non-Negative Matrix Decomposition

Network embedding has been successfully used for a variety of tasks, e.g., node clustering, community detection, link prediction and …
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Role-Based Network Embedding via Structural Features Reconstruction with Degree-Regularized Constraint

Role-based network embedding aims to map network into low-dimensional node representations while preserving structural similarities. …
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Local Structure and High-Order Feature Preserved Network Embedding Based on Non-Negative Matrix Factorization

Network embedding, as an effective method of learning the low-dimensional representations of nodes, has been widely applied to various …
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A Unified Bayesian Model of Community Detection in Attribute Networks with Power-Law Degree Distribution

Detecting community structure is an important research topic in complex network analysis. How to improve community detection results by …
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Hierarchical Multi-view Attention for Neural Review-Based Recommendation

Many E-commerce platforms allow users to write their opinions towards products, and these reviews contain rich semantic information for …
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联系

地址: 中国天津市南开区卫津路92号天津大学第8教学楼114 (地图)

  • linpan@tju.edu.cn
  • No.92 Weijin Road, Nankai District, Tianjin 300072
  • Room 114, Building No.8, Tianjin University (Maps)