Order:
Disambiguations
Lei Tang [3]Leiwen Tang [1]
  1.  12
    Discovering Travel Community for POI Recommendation on Location-Based Social Networks.Lei Tang, Dandan Cai, Zongtao Duan, Junchi Ma, Meng Han & Hanbo Wang - 2019 - Complexity 2019:1-8.
    Point-of-interest recommendations are a popular form of personalized service in which users share their POI location and related content with their contacts in location-based social networks. The similarity and relatedness between users of the same POI type are frequently used for trajectory retrieval, but most of the existing works rely on the explicit characteristics from all users’ check-in records without considering individual activities. We propose a POI recommendation method that attempts to optimally recommend POI types to serve multiple users. The (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  2.  3
    Psychometric Testing of the Chinese Version of the Coping and Adaptation Processing Scale-Short Form in Adults With Chronic Illness.Xiyi Wang, Leiwen Tang, Doris Howell, Jing Shao, Ruolin Qiu, Qi Zhang & Zhihong Ye - 2020 - Frontiers in Psychology 11.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  3.  4
    An Efficient 3D Model Retrieval Method Based on Convolutional Neural Network.Bo Ding, Lei Tang & Yong-jun He - 2020 - Complexity 2020:1-14.
    Recently, 3D model retrieval based on views has become a research hotspot. In this method, 3D models are represented as a collection of 2D projective views, which allows deep learning techniques to be used for 3D model classification and retrieval. However, current methods need improvements in both accuracy and efficiency. To solve these problems, we propose a new 3D model retrieval method, which includes index building and model retrieval. In the index building stage, 3D models in library are projected to (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  4. Effect of Interventions on Learning Burnout: A Systematic Review and Meta-Analysis.Lei Tang, Fan Zhang, Ruoyun Yin & Zhaoya Fan - 2021 - Frontiers in Psychology 12.
    Objectives: This study aimed to provide a comprehensive understanding of all intervention for learning burnout by meta-analyzing their effects.Methods: Relevant studies that had been published up to September 18, 2020, were identified through a systematic search of the PubMed, Web of Science, the China National Knowledge Infrastructure, and Wan Fang databases. Eligible studies included randomized control trials of any learning burnout intervention conducted among students. The Jadad scale was used to evaluate the quality of the study. Random-effect meta-analyses, subgroup analyses, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark